Brian Via B.log()

Coding agents have inverted the constraints

Wed, 21 Jan 2026 03:06:00 GMT

Writing the software used to be the slow part. It was always the easy part (most smart people knew this), but depending on your skill level, it was typically the slow part. At least in my opinion.

Picture a double sided funnel, on the left, requirements go in, in the middle is writing software, on the right is product validation. The tightest point of that funnel probably used to be when the software was being written. Requirements gathering and ideation could be done typically faster than the software could be written. New features and bug fixes could be validated faster than new code could be shipped out, assuming a reasonably balanced team makeup (a few engineers to one QA person perhaps). This worked great for a really long time, and explains why software engineers were in demand and could command high salaries.

In the past two or three years since GPT 3.5, 4o, Claude 3.5 Opus/Sonnet, o1/o3, Gemini 2.5 pro and finally this past October’s release of Claude Opus 4.5 (and the subsequent 4.6/5.3 releases after this initial draft), the constraints have undoubtedly flipped. I can now pump out code for new features and bug fixes faster than my QA person can validate (largely manually - put a pin in this). I can work through my ideas list faster than I can reasonably think through a proper architecture for them.

This would be great if my ideas weren’t garbage or if we could solve QA verification at scale. But that remains the final frontier, at least in the development space.

Let’s talk about both of these.

QA/Validation

It’s complicated because it’s ambiguous. Of course your QA team is validating the happy (and maybe some unhappy) paths of your changes/app. But you know what else they’re probably doing? Poking and prodding. Seeing if stuff passes the “smell test”. They’re checking odd flows that might not be directly related to your change set but could be tangential to it. And that’s just the surface level stuff. Beyond that they’re probably checking that data and changes propagate throughout the system. Also a hard and ambiguous thing to test in a world of microservices or sprawling apps/APIs. After that they’re probably remembering “that old bug/behavior” that was oddly similar to the error they just saw, and relaying to engineering that these two symptoms are likely related. Why is all this hard? Because it would be hard to describe in english for your organization, to say nothing of how you’d memorialize it in code.

It’s maybe easy to describe this in a broad sense, but if you were to try to standardize this into SOPs/documentation for your organization, you’d say “see you in six months” if not longer. Maybe there’s a world where vision models are able to excel enough and accurately recognize UIs better over time (right now it’s slow and expensive), or context windows become so big that downloading the entire DOM of your React app with more layers than your mom’s bean dip is not prohibitive, and the model will be able to reasonably tell what’s going on and truly understand it. Maybe the webMCP spec that google just shipped an experimental flag for in chrome will work out and revolutionize how we interact with web UIs (i haven’t read the spec, so i’m postulating at best) and none of this will matter. I kind of doubt it though. Either way, this space has yet to see the revolutionary changes we’ve seen in code shipping, and we'll need investment here if we want the pace of change to continue the way it has.

Ideation

Ah yes, the masses are proclaiming it’s the “year of the idea guy” just like it’s the year of the linux desktop. And to some extent, it is. But in an efficient market, the good ideas have been built by an incumbent for some time now. And the new ideas are shipped to market even faster than ever before (that doesn’t mean you can’t do it though). But that said, I think the new pre-requisite for an actual product moat is novelty, or true domain expertise transformed into, wait for it, novelty.

So yeah, you can ship a web/mobile app faster than ever before, but so can everyone else. And your personal backlog of side projects can be knocked out by a Ralph Wiggum loop overnight with a decent prompt and $10 of Opus 4.6 credits. But were those ideas ever any good in terms of product market fit or actual TAM? If they’re anything like mine, probably not.

Now let’s say you’ve got an actual, good idea. Good for you! It probably takes a non-trivial amount of time and effort to refine that idea into an actual product specification, or into code designed to actually do what you want. Even my boss (CEO), one of the best story tellers I’ve ever met, can describe things so well for a human but there still needs to be architecting and building/iterating to turn his critical business insights into proper shareholder value. See again, novelty.

Maybe an LLM will one day start to ship entire enterprise grade systems, knowing where the gotchas would be or when to choose one architecture pattern over another. I’m sure they’ve read Designing Data Intensive Applications. And yet at the same time, there’s something distinctly human about that intuition and ability to sift through the noise of what you’re trying to build and come out with a coherent picture that can be described to a 5th grader. BUT EVEN STILL, IF YOU WANT A MACHINE TO BUILD IT, YOU STILL HAVE TO DESCRIBE IT. And before that you’ve gotta decide what to describe. Both non-trivial tasks, that likely will still need a human brain for a good while.

Marc Andreesen said not long ago that “VCs will be the only job that’s left because they’re the ones with taste” (or something to that effect), and I hate to agree with such an out of touch comment, but the point he’s making holds up more reasonably than I thought when I saw it the first time. It’s the human taste, curation and vision that will remain the last chasm for LLMs - perhaps forever. How do you describe taste? How do you recognize what is an inherently pleasant to use experience vs a bad one? Some people are good at this. Jobs, Ive, Huang and Musk (though they’re more engineers than a product visionaries I suppose), that Rubin guy with the earphones vibing (or so he says), Chesky, the list goes on, but not for very long. Point I’m trying to make is that those people were exceptional and had long careers learning and developing mastery over their respective crafts. Mastery, obsession, curation, taste… all sides of the same coin that are hard to describe and take a lifetime of in the trenches work to develop.

And until a model can capture that human edge, this will remain a bottleneck as well. I don’t know whether I’d rather be proven wrong, or be proven right in this case. Either way it’s exciting.

I’m not really a writer, so be gentle. But I’ve been wanting to articulate this sentiment for some time now in a longer form piece. Wishing you happy shipping in the year ahead!

https://media.brianvia.com/uploads/49a4d19b-bbff-4cbf-9bd6-b45780e44b08.jpg

Leverage

Sun, 02 Nov 2025 22:33:00 GMT

The Game has Changed

I’m probably months late to writing this, but with the rise of LLM based coding agents, the life of a software engineer has changed in many ways. As some have said “[software engineering] has changed more in the past 18 months than in the last 18 years”. It’s probably better for seniors, and horrible for juniors or new grads. I hope it’s not too forward of a statement to say that for regular web development, a majority of software work is now being done by user-directed LLMs. I’m using Claude Code and Codex for almost all of my software writing, personal and professional, only tweaking variable names, minor control flows, etc by hand at most these days.

I can’t recall the last time I manually wrote a script or started a whole feature from scratch just by myself. And the new language I’m writing everything in is English. It’s a technical English, but it’s english nonetheless. Gone are the days where I toil over CSS trying to fix border radiuses and getting layouts just right because style sheets are not my strength. Gone are the days where I have to manually make single changes to yaml files, push an empty commit, and wait, just to have a working CI/CD setup. That stuff is just easy. And all you have to do is ask.

I also remember years of being mired in quarterly (or more frequent) planning meetings, backlog grooming, large scale feature architecture discussions, all for the purpose of helping determine what to build and how to minimize time spent building it wrong or building the wrong thing.

If you (a software engineer, perhaps) hasn’t felt this way about LLM based coding yet, I’d strongly urge you to try out Claude Opus 4.5 in Claude code or other terminal based coding agent.

Leverage

The newest limiting factor for me, is this one simple thing.

Time.

It’s time in front of my computer that I can spend effectively dictating what I want built and how i want it to work (or look). It’s why you see all these startups boasting about working “996”, probably some performative, but also partly because simply put:

as long as you can effectively articulate what you want built, the only thing holding you back is taking the time to do it.

This is the reason why every night when my wife and I are getting ready for bed, I feel the urge to try to sit back down at my workstation, and hammer out a new feature or two. “I’ll only be 10 minutes I say”. Ten minutes often turns into two hours (Sorry, hon). But the reality is I’ve shipped more in the past 6 months than I probably have in 6 years in terms of side projects, and it wouldn’t surprise me if that was the case for work too 😅.

It’s the idea-man’s paradise out there, so long as you know what the pieces are that you need to connect together.

But leverage cuts both ways, and all this extra capability doesn’t come without tradeoffs. In a world where time-to-initial-proof-of-concept is approaching near zero, deciding what and what not to build, are even more important. Time wasted building the wrong thing is still time wasted, same as it was before, but now I’d argue the opportunity cost is even higher, because that time is even more leveraged than what it was before.

If development is a vector, and the speed has gone up ten fold, then the direction of your vector is even more important to staying on the right path, lest you end up completely overshooting your target, while someone more focused on building the right thing gets there first.

Oddly enough, I came across this quote in The Art of Doing Science and Engineering last night, and it felt like a time machine from 2020 (or maybe 1995) came and slapped me in the face.

📚 As a complete side note, if you haven’t explored books by Stripe Press, I cannot recommend them enough

Taste and iteration cycle time are the newer critical things to optimize for. Either build the right thing, or keep building the wrong thing and micro pivot fast enough until you find success.

We can do anything now, we just need the will and the time to do it.

TIL about git configs

Fri, 27 Jun 2025 01:14:00 GMT

Hear ye hear ye people who write git config user.email <your-email> && git config user.name <your-name> everytime you spin up or clone a repository.

I’m embarrassed to admit I just found out about how easy having a ~/.gitconfig is and how it’ll save me 4 seconds a few times a week. I legitimately had bash aliases for this…

alias gcud='git config user.name "Brian Via" && git config user.email "<my work email>"'
alias gcup='git config user.name "Brian Via" && git config user.email "<my personal dev email>"' # good ol' g-cup

Insert joke about how long to automate vs how much time it saves. But in the era of AI, this stuff is one prompt and one exit of vim from being your reality in under a minute.

Credit to Randall at xkcd.

My new setup to avoid that

Here’s my gitconfig setup below:

~/.gitconfig :

[user]
    name = Brian Via
    email = redacted@gmail.com  # default email address for me
[includeIf "gitdir:~/Development/Dfinitiv/"] # my work project subfolder
    path = ~/.gitconfig-work
[includeIf "gitdir:~/Development/Personal/"] # my personal projects subfolder
    path = ~/.gitconfig-personal

~/.gitconfig-work :

[user]
    email = redacted-job-email@acme.corp

~/.gitconfig-personal:

[user]
    email = redacted@gmail.com

11 years into this biz and apparently I’m stupid enough to not know about things like this.

I’m also stupid enough to write a blog post about it. Later nerds.

Helpful Diagram I Found

Who knew about this stuff?!

Building a Link Feed for My Blog with Readwise Reader and Raindrop APIs

Fri, 13 Jun 2025 02:12:00 GMT

Hey all 0 of my readers! I saw the late Aaron Swartz had done this on his blog, so I thought I'd implement a version that pulls my links from Readwise Reader and Raindrop, my two main bookmarking services.

Reference: http://www.aaronsw.com/

What It Does

TL;DR - this script grabs links from Readwise Reader and Raindrop. It then combines them into one unified document structure, and writes to a local json file. That JSON file is then copied to an exposed web server, and can be downloaded when I build my blog.

Accessing service APIs

I'm using Readwise Reader and Raindrop APIs to access my bookmarks

API Documentation:

Readwise API: https://readwise.io/api_deets
Raindrop API: https://developer.raindrop.io/

The Code

Data Structure Examples

Readwise Reader Document:

{
  "id": "01jh65n9vnqne5c3zka77b9ygg",
  "url": "https://read.readwise.io/read/01jh65n9vnqne5c3zka77b9ygg",
  "title": "Scientists uncover how the brain washes itself during sleep",
  "author": "ByMitch Leslie",
  "source": "Readwise web highlighter",
  "category": "article",
  "location": "new",
  "tags": {},
  "site_name": "Science Advances",
  "word_count": 812,
  "created_at": "2025-01-09T18:36:37.257536+00:00",
  "updated_at": "2025-01-09T18:36:37.422728+00:00",
  "published_date": 1736294400000,
  "summary": "Scientists have discovered that during non-REM sleep, norepinephrine helps blood vessels in the brain contract and push cerebrospinal fluid, which cleanses the brain of waste. A sleep drug called zolpidem may disrupt this cleansing process, indicating potential side effects for users. This research could lead to better sleep aids that support the brain's natural cleaning function.",
  "image_url": "https://www.science.org/do/10.1126/science.zye6h6x/abs/_20250110_nid_sleeping_mice.jpg",
  "content": null,
  "source_url": "https://www.science.org/content/article/scientists-uncover-how-brain-washes-itself-during-sleep",
  "notes": "",
  "parent_id": null,
  "reading_progress": 0,
  "first_opened_at": "2025-01-09T18:36:37.109000+00:00",
  "last_opened_at": "2025-01-09T18:36:37.109000+00:00",
  "saved_at": "2025-01-09T18:36:37.109000+00:00",
  "last_moved_at": "2025-01-09T18:36:37.109000+00:00"
}

Raindrop Bookmark:

{
  "_id": 941550705,
  "link": "https://www.science.org/content/article/scientists-uncover-how-brain-washes-itself-during-sleep",
  "title": "Scientists uncover how the brain washes itself during sleep",
  "excerpt": "Pulsating blood vessels push fluid into and out of the brains of slumbering mice",
  "note": "",
  "type": "link",
  "user": {
    "$ref": "users",
    "$id": 815800
  },
  "cover": "https://www.science.org/do/10.1126/science.zye6h6x/abs/_20250110_nid_sleeping_mice.jpg",
  "media": [
    {
      "link": "https://www.science.org/do/10.1126/science.zye6h6x/abs/_20250110_nid_sleeping_mice.jpg",
      "type": "image"
    },
    {
      "link": "https://www.science.org/do/10.1126/science.zye6h6x/full/_20250110_nid_sleeping_mice-1736361571250.jpg",
      "type": "image"
    },
    {
      "link": "https://www.science.org/do/10.1126/science.zwmauid/full/_20250107_on_mars_sample_return.jpg",
      "type": "image"
    }
  ],
  "tags": [
    "sleep",
    "brain",
    "science",
    "research",
    "study"
  ],
  "important": false,
  "reminder": {
    "date": null
  },
  "removed": false,
  "created": "2025-01-09T18:36:43.898Z",
  "collection": {
    "$ref": "collections",
    "$id": 26156198,
    "oid": 26156198
  },
  "highlights": [],
  "lastUpdate": "2025-01-09T18:36:50.275Z",
  "domain": "science.org",
  "creatorRef": {
    "_id": 815800,
    "avatar": "",
    "name": "BrianVia",
    "email": ""
  },
  "sort": 941550705,
  "cache": {
    "status": "invalid-origin"
  },
  "broken": false,
  "collectionId": 26156198
}

TypeScript Implementation

import axios from "axios";
import dotenv from "dotenv";
import { writeFileSync } from "node:fs";

dotenv.config();

// Unified interface for links
interface UnifiedLink {
  id: string;
  title: string;
  url: string;
  createdAt: Date;
  bookmarkSource: "Raindrop" | "ReadwiseReader";
  tags?: string[];
  summary?: string;
  author?: string;
  imageUrl?: string;
  originalUrl?: string;
}

// Raindrop types and client
interface Bookmark {
  _id: number;
  title: string;
  excerpt: string;
  link: string;
  domain: string;
  cover: string;
  created: string;
  lastUpdate: string;
  tags: string[];
  collectionId: number;
  type: string;
}

interface RaindropResponse {
  items: Bookmark[];
  count: number;
  page: number;
}

class RaindropClient {
  private readonly baseUrl = "https://api.raindrop.io/rest/v1";
  private readonly headers: Record<string, string>;

  constructor(token: string) {
    this.headers = {
      Authorization: `Bearer ${token}`,
      "Content-Type": "application/json",
    };
  }

  async getAllBookmarks(perPage: number = 50): Promise<Bookmark[]> {
    let allBookmarks: Bookmark[] = [];
    let currentPage = 0;
    let hasMore = true;

    while (hasMore) {
      try {
        const response = await axios.get<RaindropResponse>(`${this.baseUrl}/raindrops/0`, {
          headers: this.headers,
          params: {
            page: currentPage,
            perpage: perPage,
            sort: "-created",
          },
        });

        const { items, count } = response.data;
        allBookmarks = [...allBookmarks, ...items];

        hasMore = allBookmarks.length < count;
        currentPage++;
      } catch (error) {
        if (axios.isAxiosError(error)) {
          throw new Error(`Failed to fetch bookmarks: ${error.message}`);
        }
        throw error;
      }
    }

    return allBookmarks;
  }
}

// Readwise Reader types and client
interface ReadwiseReaderDocument {
  image_url: string;
  id: number;
  title: string;
  author: string;
  saved_at: string;
  summary: string;
  url: string;
}

class ReadwiseReaderClient {
  private readonly baseUrl = "https://readwise.io/api/v3";
  private readonly headers: Record<string, string>;

  constructor(token: string) {
    this.headers = {
      Authorization: `Token ${token}`,
    };
  }

  async getAllDocuments(): Promise<ReadwiseReaderDocument[]> {
    let allDocuments: ReadwiseReaderDocument[] = [];
    let nextPageCursor: string | null = null;

    while (true) {
      try {
        const queryParams = new URLSearchParams();
        if (nextPageCursor) {
          queryParams.append("pageCursor", nextPageCursor);
        }

        console.log("Querying Readwise Reader for documents");
        const response = await axios.get<{
          results: ReadwiseReaderDocument[];
          nextPageCursor: string | null;
        }>(`${this.baseUrl}/list/?${queryParams.toString()}`, {
          headers: this.headers,
        });

        allDocuments = [...allDocuments, ...response.data.results];
        nextPageCursor = response.data.nextPageCursor;

        if (!nextPageCursor) {
          break;
        }
      } catch (error) {
        if (axios.isAxiosError(error)) {
          throw new Error(`Failed to fetch Readwise Reader documents: ${error.message}`);
        }
        throw error;
      }
    }

    return allDocuments;
  }
}

// Function to normalize and combine links from both sources
async function getAllLinks(): Promise<UnifiedLink[]> {
  const raindropToken = process.env.RAINDROP_TOKEN;
  const readwiseToken = process.env.READWISE_TOKEN;

  if (!raindropToken || !readwiseToken) {
    throw new Error("RAINDROP_TOKEN or READWISE_TOKEN environment variable is not set");
  }

  const raindropClient = new RaindropClient(raindropToken);
  const readwiseClient = new ReadwiseReaderClient(readwiseToken);

  const [raindropBookmarks, readwiseDocuments] = await Promise.all([
    raindropClient.getAllBookmarks(),
    readwiseClient.getAllDocuments(),
  ]);

  console.log(`Raindrop Links`);
  console.log(JSON.stringify(raindropBookmarks[0], null, 2));
  console.log(`Readwise Links`);
  console.log(JSON.stringify(readwiseDocuments[0], null, 2));

  const raindropLinks: UnifiedLink[] = raindropBookmarks.map((bookmark) => ({
    id: bookmark._id.toString(),
    originalUrl: bookmark.link,
    summary: bookmark.excerpt,
    author: bookmark.domain,
    title: bookmark.title,
    url: bookmark.link,
    createdAt: new Date(bookmark.created),
    bookmarkSource: "Raindrop",
    tags: bookmark.tags,
    imageUrl: bookmark.cover,
  }));

  const readwiseLinks: UnifiedLink[] = readwiseDocuments.map((document) => ({
    id: document.id.toString(),
    originalUrl: document.url,
    title: document.title,
    url: document.url,
    createdAt: new Date(document.saved_at),
    bookmarkSource: "ReadwiseReader",
    summary: document.summary,
    author: document.author.startsWith("By") ? document.author.slice(2) : document.author,
    imageUrl: document.image_url,
  }));

  const allLinks = [...readwiseLinks, ...raindropLinks];

// Sort by most recent
  allLinks.sort((a, b) => b.createdAt.getTime() - a.createdAt.getTime());
  writeFileSync("all-bookmarks.json", JSON.stringify(allLinks, null, 2));

  return allLinks;
}

// Example usage
async function main() {
  try {
    const allLinks = await getAllLinks();
    console.log(`Found ${allLinks.length} links:\n`);
    allLinks.forEach((link) => {
// Console output logic here
    });
  } catch (error) {
    console.error("Error:", error instanceof Error ? error.message : error);
  }
}

main();

Continuous Deployments

I have a cron job running hourly on my server that pulls them and stores them to a local JSON file hosted on a webserver. If the file changes, it does a POST HTTP call to my cloudflare pages webhook, triggering a new deployment.

Hacker News Favorite Books of 2024

Wed, 08 Jan 2025 02:59:00 GMT

You might be thinking this is a cheap plug to get you to buy books through a referral link, and you’d be absolutely right. But the current internet plumbing situation may surface this to the top of the search results, so… here’s all the books that Hacker News users mentioned the most.

List of Books

List is sorted by title. Sourced from this topic - Show HN: I mapped HN’s favorite books with GPT-4.

I may receive a commission from purchases made via these URLs.

Author	Title	URL
Jordan Peterson	12 Rules for Life	Amazon
Charles C. Mann	1491	Amazon
Charles C. Mann	1493	Amazon
Eric Flint	1632	Amazon
David McCullough	1776	Amazon
George Orwell	1984	Amazon
Haruki Murakami	1Q84	Amazon
Arthur C. Clarke	2001	Amazon
Yuval Noah Harari	21 Lessons for the 21st Century	Amazon
Roberto Bolaño	2666	Amazon
Charles Pinter	A Book of Abstract Algebra	Amazon
Stephen Hawking	A Brief History of Time	Amazon
Walter M. Miller Jr.	A Canticle for Leibowitz	Amazon
George R.R. Martin	A Clash of Kings	Amazon
John Kennedy Toole	A Confederacy of Dunces	Amazon
Vernor Vinge	A Deepness in the Sky	Amazon
Edsger W. Dijkstra	A Discipline of Programming	Amazon
Vernor Vinge	A Fire Upon the Deep	Amazon
George R.R. Martin	A Game of Thrones	Amazon
C.S. Lewis	A Grief Observed	Amazon
William B. Irvine	A Guide to the Good Life	Amazon
Bertrand Russell	A History of Western Philosophy	Amazon
Edward O. Thorp	A Man for All Markets	Amazon
G.H. Hardy	A Mathematician’s Apology	Amazon
Paul Lockhart	A Mathematician’s Lament	Amazon
Elbert Hubbard	A Message to Garcia	Amazon
Barbara Oakley	A Mind for Numbers	Amazon
Stephen Wolfram	A New Kind of Science	Amazon
Christopher Alexander	A Pattern Language	Amazon
Howard Zinn	A People’s History of the United States	Amazon
Orlando Figes	A People’s Tragedy	Amazon
John Ousterhout	A Philosophy of Software Design	Amazon
Burton G. Malkiel	A Random Walk Down Wall Street	Amazon
Philip K. Dick	A Scanner Darkly	Amazon
Bill Bryson	A Short History of Nearly Everything	Amazon
George R.R. Martin	A Song of Ice and Fire	Amazon
Ursula K. Le Guin	A Wizard of Earthsea	Amazon
Alan Cooper	About Face	Amazon
Richard M. Foote	Abstract Algebra	Amazon
David S. Dummit	Abstract Algebra	Amazon
Steven Kotler	Abundance	Amazon
Peter H. Diamandis	Abundance	Amazon
Charles Stross	Accelerando	Amazon
Nicole Forsgren	Accelerate	Amazon
Gene Kim	Accelerate	Amazon
Jez Humble	Accelerate	Amazon
Erwin Kreyszig	Advanced Engineering Mathematics	Amazon
Stephen A. Rago	Advanced Programming in the UNIX Environment	Amazon
W. Richard Stevens	Advanced Programming in the UNIX Environment	Amazon
Haruki Murakami	After Dark	Amazon
Andrew Hodges	Alan Turing	Amazon
Pat Frank	Alas, Babylon	Amazon
Robert Sedgewick	Algorithms	Amazon
Kevin Wayne	Algorithms	Amazon
Niklaus Wirth	Algorithms + Data Structures = Programs	Amazon
Tom Griffiths	Algorithms to Live By	Amazon
Brian Christian	Algorithms to Live By	Amazon
Lewis Carroll	Alice’s Adventures in Wonderland	Amazon
Erich Maria Remarque	All Quiet on the Western Front	Amazon
Richard K. Morgan	Altered Carbon	Amazon
Neil Gaiman	American Gods	Amazon
Colin Woodard	American Nations	Amazon
Neil Postman	Amusing Ourselves to Death	Amazon
Hank Green	An Absolutely Remarkable Thing	Amazon
Will Larson	An Elegant Puzzle	Amazon
Gerald Weinberg	An Introduction to General Systems Thinking	Amazon
Daniela Witten	An Introduction to Statistical Learning	Amazon
Robert Tibshirani	An Introduction to Statistical Learning	Amazon
Gareth James	An Introduction to Statistical Learning	Amazon
Trevor Hastie	An Introduction to Statistical Learning	Amazon
Neal Stephenson	Anathem	Amazon
Ann Leckie	Ancillary Justice	Amazon
George Orwell	Animal Farm	Amazon
Leo Tolstoy	Anna Karenina	Amazon
Ayn Rand	Anthem	Amazon
Nassim Nicholas Taleb	Antifragile	Amazon
Derek Sivers	Anything You Want	Amazon
Plato	Apology	Amazon
Bruce Schneier	Applied Cryptography	Amazon
Ernest Cline	Armada	Amazon
Ted Orland	Art and Fear	Amazon
David Bayles	Art and Fear	Amazon
Andy Weir	Artemis	Amazon
Stuart Russell	Artificial Intelligence	Amazon
Peter Norvig	Artificial Intelligence	Amazon
Bill Bryson	At Home	Amazon
Ayn Rand	Atlas Shrugged	Amazon
James Clear	Atomic Habits	Amazon
Paramahansa Yogananda	Autobiography of a Yogi	Amazon
Al Sweigart	Automate the Boring Stuff with Python	Amazon
Tony Robbins	Awaken the Giant Within	Amazon
Anthony DeMello	Awareness	Amazon
John Carreyrou	Bad Blood	Amazon
Thomas Sowell	Basic Economics	Amazon
James M. McPherson	Battle Cry of Freedom	Amazon
Ram Dass	Be Here Now	Amazon
Gerald Weinberg	Becoming a Technical Leader	Amazon
Robert Sapolsky	Behave	Amazon
Martin Heidegger	Being and Time	Amazon
Atul Gawande	Being Mortal	Amazon
Ta-Nehisi Coates	Between the World and Me	Amazon
Friedrich Nietzsche	Beyond Good and Evil	Amazon
Vyasa	Bhagavad Gita	Amazon
Nathan Marz	Big Data	Amazon
Anne Lamott	Bird by Bird	Amazon
Peter Watts	Blindsight	Amazon
Malcolm Gladwell	Blink	Amazon
Cormac McCarthy	Blood Meridian	Amazon
Renée Mauborgne	Blue Ocean Strategy	Amazon
W. Chan Kim	Blue Ocean Strategy	Amazon
Richard Hammack	Book of Proof	Amazon
Trevor Noah	Born a Crime	Amazon
Christopher McDougall	Born to Run	Amazon
Robert Coram	Boyd	Amazon
John Medina	Brain Rules	Amazon
Aldous Huxley	Brave New World	Amazon
Kurt Vonnegut	Breakfast of Champions	Amazon
Roger Lowenstein	Buffett	Amazon
John Warrillow	Built to Sell	Amazon
David Graeber	Bullshit Jobs	Amazon
Alexander Osterwalder	Business Model Generation	Amazon
Yves Pigneur	Business Model Generation	Amazon
David R. Hanson	C Interfaces and Implementations	Amazon
Michael Spivak	Calculus	Amazon
Silvanus P. Thompson	Calculus Made Easy	Amazon
Michael Spivak	Calculus on Manifolds	Amazon
Bill Watterson	Calvin and Hobbes	Amazon
David Goggins	Can’t Hurt Me	Amazon
Voltaire	Candide	Amazon
John Steinbeck	Cannery Row	Amazon
Karl Marx	Capital	Amazon
Thomas Piketty	Capital in the Twenty-First Century	Amazon
Milton Friedman	Capitalism and Freedom	Amazon
Kurt Vonnegut	Cat’s Cradle	Amazon
Joseph Heller	Catch-22	Amazon
James Gleick	Chaos	Amazon
Antonio García Martínez	Chaos Monkeys	Amazon
Frank Herbert	Chapterhouse	Amazon
Johann Hari	Chasing the Scream	Amazon
Arthur C. Clarke	Childhood’s End	Amazon
Frank Herbert	Children of Dune	Amazon
Adrian Tchaikovsky	Children of Time	Amazon
Chris Miller	Chip War	Amazon
James Altucher	Choose Yourself	Amazon
Robert C. Martin	Clean Architecture	Amazon
David Mitchell	Cloud Atlas	Amazon
Charles Petzold	Code	Amazon
Steve McConnell	Code Complete	Amazon
Peter Seibel	Coders at Work	Amazon
Jared Diamond	Collapse	Amazon
Jorge Luis Borges	Collected Fictions	Amazon
Haruki Murakami	Colorless Tsukuru Tazaki and His Years of Pilgrimage	Amazon
Philip A. Fisher	Common Stocks and Uncommon Profits	Amazon
Jeffrey D. Ullman	Compilers	Amazon
Alfred V. Aho	Compilers	Amazon
Monica S. Lam	Compilers	Amazon
Ravi Sethi	Compilers	Amazon
Melanie Mitchell	Complexity	Amazon
David A. Patterson	Computer Architecture	Amazon
John L. Hennessy	Computer Architecture	Amazon
Keith Ross	Computer Networking	Amazon
James Kurose	Computer Networking	Amazon
Andrew S. Tanenbaum	Computer Networks	Amazon
Randal E. Bryant	Computer Systems	Amazon
David R. O’Hallaron	Computer Systems	Amazon
Peter Van Roy	Concepts, Techniques, and Models of Computer Programming	Amazon
Seif Haridi	Concepts, Techniques, and Models of Computer Programming	Amazon
F. William Lawvere	Conceptual Mathematics	Amazon
Stephen Hoel Schanuel	Conceptual Mathematics	Amazon
Oren Patashnik	Concrete Mathematics	Amazon
Ronald L. Graham	Concrete Mathematics	Amazon
Donald E. Knuth	Concrete Mathematics	Amazon
Saint Augustine	Confessions	Amazon
John Perkins	Confessions of an Economic Hit Man	Amazon
Iain M. Banks	Consider Phlebas	Amazon
Jonah Berger	Contagious	Amazon
Carl Sagan	Cosmos	Amazon
Kim Zetter	Countdown to Zero Day	Amazon
Gayle Laakmann McDowell	Cracking the Coding Interview	Amazon
Robert Nystrom	Crafting Interpreters	Amazon
Ed Catmull	Creativity, Inc.	Amazon
Fyodor Dostoevsky	Crime and Punishment	Amazon
Eliyahu M. Goldratt	Critical Chain	Amazon
Immanuel Kant	Critique of Pure Reason	Amazon
Geoffrey A. Moore	Crossing the Chasm	Amazon
Ron McMillan	Crucial Conversations	Amazon
Kerry Patterson	Crucial Conversations	Amazon
Al Switzler	Crucial Conversations	Amazon
Joseph Grenny	Crucial Conversations	Amazon
Neal Stephenson	Cryptonomicon	Amazon
Eric A. Meyer	CSS	Amazon
Estelle Weyl	CSS	Amazon
Daniel Suarez	Daemon	Amazon
Brené Brown	Dare to Lead	Amazon
Brené Brown	Daring Greatly	Amazon
Blake Crouch	Dark Matter	Amazon
Daniel Dennett	Darwin’s Dangerous Idea	Amazon
Karl Marx	Das Kapital	Amazon
Alex Petrov	Database Internals	Amazon
Edward Yourdon	Death March	Amazon
Liu Cixin	Death’s End	Amazon
David Graeber	Debt	Amazon
Yoshua Bengio	Deep Learning	Amazon
Aaron Courville	Deep Learning	Amazon
Ian Goodfellow	Deep Learning	Amazon
Cal Newport	Deep Work	Amazon
Tony Hsieh	Delivering Happiness	Amazon
David Kadavy	Design for Hackers	Amazon
Ralph Johnson	Design Patterns	Amazon
Richard Helm	Design Patterns	Amazon
John Vlissides	Design Patterns	Amazon
Erich Gamma	Design Patterns	Amazon
Martin Kleppmann	Designing Data-Intensive Applications	Amazon
Unknown	Dhammapada	Amazon
Greg Egan	Diaspora	Amazon
Sheila Heen	Difficult Conversations	Amazon
Douglas Stone	Difficult Conversations	Amazon
Bruce Patton	Difficult Conversations	Amazon
Cal Newport	Digital Minimalism	Amazon
Douglas Adams	Dirk Gently’s Holistic Detective Agency	Amazon
Epictetus	Discourses	Amazon
Richard Epp	Discrete Mathematics	Amazon
Kenneth H. Rosen	Discrete Mathematics and Its Applications	Amazon
Susanna Epp	Discrete Mathematics with Applications	Amazon
Terry Pratchett	Discworld	Amazon
Terry Pratchett	Discworld Series	Amazon
Dan Lyons	Disrupted	Amazon
Andrew S. Tanenbaum	Distributed Systems	Amazon
Philip K. Dick	Do Androids Dream of Electric Sheep?	Amazon
Scott Wlaschin	Domain Modeling Made Functional	Amazon
Eric Evans	Domain-Driven Design	Amazon
Miguel de Cervantes	Don Quixote	Amazon
Steve Krug	Don’t Make Me Think	Amazon
Betty Edwards	Drawing on the Right Side of the Brain	Amazon
Scott Rosenberg	Dreaming in Code	Amazon
Daniel H. Pink	Drive	Amazon
Frank Herbert	Dune	Amazon
Frank Herbert	Dune Messiah	Amazon
John Steinbeck	East of Eden	Amazon
Brian Tracy	Eat That Frog!	Amazon
Paul Samuelson	Economics	Amazon
Henry Hazlitt	Economics in One Lesson	Amazon
Tara Westover	Educated	Amazon
Scott Meyers	Effective C++	Amazon
Joshua Bloch	Effective Java	Amazon
David Herman	Effective JavaScript	Amazon
Scott Meyers	Effective Modern C++	Amazon
Brett Slatkin	Effective Python	Amazon
Ryan Holiday	Ego is the Enemy	Amazon
Walter Isaacson	Einstein	Amazon
Alan Lightman	Einstein’s Dreams	Amazon
Søren Kierkegaard	Either/Or	Amazon
Euclid	Elements	Amazon
Ashlee Vance	Elon Musk	Amazon
Marijn Haverbeke	Eloquent JavaScript	Amazon
Daniel Goleman	Emotional Intelligence	Amazon
Orson Scott Card	Ender’s Game	Amazon
Orson Scott Card	Ender’s Shadow	Amazon
Alfred Lansing	Endurance	Amazon
Dan Simmons	Endymion	Amazon
Steven Pinker	Enlightenment Now	Amazon
Michel de Montaigne	Essays	Amazon
Greg McKeown	Essentialism	Amazon
Matthew Desmond	Evicted	Amazon
Iain M. Banks	Excession	Amazon
Ted Chiang	Exhalation	Amazon
Peter van der Linden	Expert C Programming	Amazon
Phil Lapsley	Exploding the Phone	Amazon
Jocko Willink	Extreme Ownership	Amazon
Leif Babin	Extreme Ownership	Amazon
Hans Rosling	Factfulness	Amazon
Robert L. Glass	Facts and Fallacies of Software Engineering	Amazon
Ray Bradbury	Fahrenheit 451	Amazon
Johann Wolfgang von Goethe	Faust	Amazon
Thich Nhat Hanh	Fear	Amazon
David D. Burns	Feeling Good	Amazon
Simon Singh	Fermat’s Enigma	Amazon
Simon Singh	Fermat’s Last Theorem	Amazon
Jorge Luis Borges	Ficciones	Amazon
Mihaly Csikszentmihalyi	Finding Flow	Amazon
James P. Carse	Finite and Infinite Games	Amazon
James Joyce	Finnegans Wake	Amazon
Marcus Buckingham	First, Break All the Rules	Amazon
Curt Coffman	First, Break All the Rules	Amazon
Michael Lewis	Flash Boys	Amazon
Edwin A. Abbott	Flatland	Amazon
Mihaly Csikszentmihalyi	Flow	Amazon
Daniel Keyes	Flowers for Algernon	Amazon
Luciano Ramalho	Fluent Python	Amazon
Nassim Nicholas Taleb	Fooled by Randomness	Amazon
Umberto Eco	Foucault’s Pendulum	Amazon
Isaac Asimov	Foundation	Amazon
Isaac Asimov	Foundation and Empire	Amazon
Isaac Asimov	Foundation’s Edge	Amazon
Jessica Livingston	Founders at Work	Amazon
Oliver Burkeman	Four Thousand Weeks	Amazon
Mary Shelley	Frankenstein	Amazon
Steven D. Levitt	Freakonomics	Amazon
Stephen J. Dubner	Freakonomics	Amazon
Sam Harris	Free Will	Amazon
Daniel Suarez	Freedom	Amazon
J. Krishnamurti	Freedom from the Known	Amazon
Rúnar Bjarnason	Functional Programming in Scala	Amazon
Paul Chiusano	Functional Programming in Scala	Amazon
Jearl Walker	Fundamentals of Physics	Amazon
Robert Resnick	Fundamentals of Physics	Amazon
David Halliday	Fundamentals of Physics	Amazon
Robert Nystrom	Game Programming Patterns	Amazon
Sudhir Venkatesh	Gang Leader for a Day	Amazon
37signals	Getting Real	Amazon
David Allen	Getting Things Done	Amazon
William Ury	Getting to Yes	Amazon
Roger Fisher	Getting to Yes	Amazon
Kevin Mitnick	Ghost in the Wires	Amazon
John Bowe	Gig	Amazon
Adam Grant	Give and Take	Amazon
Charles Stross	Glasshouse	Amazon
Frank Herbert	God Emperor of Dune	Amazon
Douglas Hofstadter	Gödel, Escher, Bach	Amazon
Terry Pratchett	Going Postal	Amazon
Gary Taubes	Good Calories, Bad Calories	Amazon
Terry Pratchett	Good Omens	Amazon
Neil Gaiman	Good Omens	Amazon
Richard Rumelt	Good Strategy Bad Strategy	Amazon
Jim Collins	Good to Great	Amazon
Charles W. Misner	Gravitation	Amazon
Kip S. Thorne	Gravitation	Amazon
John Archibald Wheeler	Gravitation	Amazon
Thomas Pynchon	Gravity’s Rainbow	Amazon
Angela Duckworth	Grit	Amazon
Aditya Bhargava	Grokking Algorithms	Amazon
Jonathan Swift	Gulliver’s Travels	Amazon
Jared Diamond	Guns, Germs, and Steel	Amazon
Henry S. Warren Jr.	Hacker’s Delight	Amazon
Steven Levy	Hackers	Amazon
Paul Graham	Hackers and Painters	Amazon
Jim Erickson	Hard Drive	Amazon
James Wallace	Hard Drive	Amazon
Haruki Murakami	Hard-Boiled Wonderland and the End of the World	Amazon
J.K. Rowling	Harry Potter	Amazon
Eliezer Yudkowsky	Harry Potter and the Methods of Rationality	Amazon
Nick Bilton	Hatching Twitter	Amazon
Kathy Sierra	Head First Design Patterns	Amazon
Eric Freeman	Head First Design Patterns	Amazon
Bert Bates	Head First Design Patterns	Amazon
Elisabeth Robson	Head First Design Patterns	Amazon
Joseph Conrad	Heart of Darkness	Amazon
Frank Herbert	Heretics of Dune	Amazon
Andrew S. Grove	High Output Management	Amazon
Ilya Grigorik	High Performance Browser Networking	Amazon
Thucydides	History of the Peloponnesian War	Amazon
George Orwell	Homage to Catalonia	Amazon
Yuval Noah Harari	Homo Deus	Amazon
Nir Eyal	Hooked	Amazon
Mark Z. Danielewski	House of Leaves	Amazon
Joe Studwell	How Asia Works	Amazon
Eric Schmidt	How Google Works	Amazon
Jonathan Rosenberg	How Google Works	Amazon
Harry Browne	How I Found Freedom in an Unfree World	Amazon
Jordan Ellenberg	How Not to Be Wrong	Amazon
Michael Pollan	How to Change Your Mind	Amazon
Ray Kurzweil	How to Create a Mind	Amazon
Robert Bruce Findler	How to Design Programs	Amazon
Sharon A. Edwards	How to Design Programs	Amazon
Matthew Flatt	How to Design Programs	Amazon
Matthias Felleisen	How to Design Programs	Amazon
Scott Adams	How to Fail at Almost Everything and Still Win Big	Amazon
Felix Dennis	How to Get Rich	Amazon
Darrell Huff	How to Lie with Statistics	Amazon
Douglas W. Hubbard	How to Measure Anything	Amazon
Daniel J. Velleman	How to Prove It	Amazon
Mortimer J. Adler	How to Read a Book	Amazon
George Pólya	How to Solve It	Amazon
Elaine Mazlish	How to Talk So Kids Will Listen & Listen So Kids Will Talk	Amazon
Adele Faber	How to Talk So Kids Will Listen & Listen So Kids Will Talk	Amazon
Dale Carnegie	How to Win Friends and Influence People	Amazon
Clayton Christensen	How Will You Measure Your Life?	Amazon
Jon Duckett	HTML and CSS	Amazon
Dan Simmons	Hyperion	Amazon
Michio Kaku	Hyperspace	Amazon
Douglas Hofstadter	I Am a Strange Loop	Amazon
Nisargadatta Maharaj	I Am That	Amazon
Ramit Sethi	I Will Teach You to Be Rich	Amazon
Isaac Asimov	I, Robot	Amazon
Richard Bach	Illusions	Amazon
Benedict Anderson	Imagined Communities	Amazon
Keith Johnstone	Impro	Amazon
Marcel Proust	In Search of Lost Time	Amazon
Nassim Nicholas Taleb	Incerto	Amazon
David Eagleman	Incognito	Amazon
Ramachandra Guha	India After Gandhi	Amazon
David Foster Wallace	Infinite Jest	Amazon
Steven Strogatz	Infinite Powers	Amazon
Robert B. Cialdini	Influence	Amazon
David J.C. MacKay	Information Theory, Inference, and Learning Algorithms	Amazon
Marty Cagan	Inspired	Amazon
Jon Krakauer	Into Thin Air	Amazon
Charles E. Leiserson	Introduction to Algorithms	Amazon
Ronald L. Rivest	Introduction to Algorithms	Amazon
Clifford Stein	Introduction to Algorithms	Amazon
Thomas H. Cormen	Introduction to Algorithms	Amazon
Rajeev Motwani	Introduction to Automata Theory, Languages, and Computation	Amazon
Jeffrey D. Ullman	Introduction to Automata Theory, Languages, and Computation	Amazon
John E. Hopcroft	Introduction to Automata Theory, Languages, and Computation	Amazon
Jonathan Katz	Introduction to Modern Cryptography	Amazon
Yehuda Lindell	Introduction to Modern Cryptography	Amazon
Dimitri P. Bertsekas	Introduction to Probability	Amazon
John N. Tsitsiklis	Introduction to Probability	Amazon
Michael Sipser	Introduction to the Theory of Computation	Amazon
Daniel Dennett	Intuition Pumps and Other Tools for Thinking	Amazon
Italo Calvino	Invisible Cities	Amazon
Ralph Ellison	Invisible Man	Amazon
Daniel Quinn	Ishmael	Amazon
Steve Wozniak	iWoz	Amazon
Brian Goetz	Java Concurrency in Practice	Amazon
Douglas Crockford	JavaScript	Amazon
Joel Spolsky	Joel on Software	Amazon
Richard Bach	Jonathan Livingston Seagull	Amazon
William Dunham	Journey Through Genius	Amazon
Douglas Coupland	JPod	Amazon
Michael Crichton	Jurassic Park	Amazon
Haruki Murakami	Kafka on the Shore	Amazon
Anthony Bourdain	Kitchen Confidential	Amazon
Conrad Barski	Land of Lisp	Amazon
S.I. Hayakawa	Language in Thought and Action	Amazon
Douglas Hofstadter	Le Ton beau de Marot	Amazon
Simon Sinek	Leaders Eat Last	Amazon
Cindy Alvarez	Lean Customer Development	Amazon
Zed A. Shaw	Learn Python the Hard Way	Amazon
Miran Lipovača	Learn You a Haskell for Great Good!	Amazon
Walter Isaacson	Leonardo da Vinci	Amazon
Victor Hugo	Les Misérables	Amazon
Seneca	Letters from a Stoic	Amazon
Rainer Maria Rilke	Letters to a Young Poet	Amazon
Seneca	Letters to Lucilius	Amazon
James S.A. Corey	Leviathan Wakes	Amazon
Michael Lewis	Liar’s Poker	Amazon
James W. Loewen	Lies My Teacher Told Me	Amazon
Yann Martel	Life of Pi	Amazon
Robert M. Pirsig	Lila	Amazon
Seth Godin	Linchpin	Amazon
A.O. Morris	Linear Algebra	Amazon
Sheldon Axler	Linear Algebra Done Right	Amazon
Cory Doctorow	Little Brother	Amazon
Apostolos Doxiadis	Logicomix	Amazon
Christos H. Papadimitriou	Logicomix	Amazon
Vladimir Nabokov	Lolita	Amazon
Larry McMurtry	Lonesome Dove	Amazon
Dava Sobel	Longitude	Amazon
Roger Zelazny	Lord of Light	Amazon
William Golding	Lord of the Flies	Amazon
Irvin D. Yalom	Love’s Executioner	Amazon
Doug Cutting	Lucene in Action	Amazon
Lucene in Action	Lucene in Action	Amazon
Gustave Flaubert	Madame Bovary	Amazon
Chip Heath	Made to Stick	Amazon
Dan Heath	Made to Stick	Amazon
Charles Platt	Make	Amazon
Scott Berkun	Making Things Happen	Amazon
Steven Erikson	Malazan Book of the Fallen	Amazon
Viktor Frankl	Man’s Search for Meaning	Amazon
Michael Lopp	Managing Humans	Amazon
Edward S. Herman	Manufacturing Consent	Amazon
Noam Chomsky	Manufacturing Consent	Amazon
Jordan Peterson	Maps of Meaning	Amazon
Jack London	Martin Eden	Amazon
Patrick O’Brian	Master and Commander	Amazon
Robert A. Caro	Master of the Senate	Amazon
Jeff Thull	Mastering the Complex Sale	Amazon
David Kushner	Masters of Doom	Amazon
Robert Greene	Mastery	Amazon
Walter Rudin	Mathematical Analysis	Amazon
Jan Gullberg	Mathematics	Amazon
Lancelot Hogben	Mathematics for the Million	Amazon
John Doerr	Measure What Matters	Amazon
Paul Lockhart	Measurement	Amazon
Marcus Aurelius	Meditations	Amazon
Adolf Hitler	Mein Kampf	Amazon
E.T. Bell	Men of Mathematics	Amazon
C.S. Lewis	Mere Christianity	Amazon
Douglas Hofstadter	Metamagical Themas	Amazon
Mark Johnson	Metaphors We Live By	Amazon
George Lakoff	Metaphors We Live By	Amazon
Douglas Coupland	Microserfs	Amazon
Salman Rushdie	Midnight’s Children	Amazon
Bhante Henepola Gunaratana	Mindfulness in Plain English	Amazon
Carol S. Dweck	Mindset	Amazon
Seymour Papert	Mindstorms	Amazon
Stephen Guise	Mini Habits	Amazon
Brandon Sanderson	Mistborn	Amazon
Herman Melville	Moby Dick	Amazon
Mark Manson	Models	Amazon
Jens Gustedt	Modern C	Amazon
Bruce Alberts	Molecular Biology of the Cell	Amazon
John Kenneth Galbraith	Money	Amazon
Michael Lewis	Moneyball	Amazon
Joshua Foer	Moonwalking with Einstein	Amazon
Robert Jackall	Moral Mazes	Amazon
Sebastian Mallaby	More Money Than God	Amazon
Kurt Vonnegut	Mother Night	Amazon
Eiji Yoshikawa	Musashi	Amazon
Paul Halmos	Naive Set Theory	Amazon
Charles Wheelan	Naked Economics	Amazon
Hermann Hesse	Narcissus and Goldmund	Amazon
William Gibson	Neuromancer	Amazon
R. Scott Bakker	Neuropath	Amazon
Keith Ferrazzi	Never Eat Alone	Amazon
Kazuo Ishiguro	Never Let Me Go	Amazon
Chris Voss	Never Split the Difference	Amazon
Neil Gaiman	Neverwhere	Amazon
Ramez Naam	Nexus	Amazon
Aristotle	Nicomachean Ethics	Amazon
Elie Wiesel	Night	Amazon
George Orwell	Nineteen Eighty-Four	Amazon
Robert A. Glover	No More Mr. Nice Guy	Amazon
Glenn Greenwald	No Place to Hide	Amazon
Steven Strogatz	Nonlinear Dynamics and Chaos	Amazon
Marshall B. Rosenberg	Nonviolent Communication	Amazon
Charles Perrow	Normal Accidents	Amazon
Haruki Murakami	Norwegian Wood	Amazon
Christopher Alexander	Notes on the Synthesis of Form	Amazon
William H. Press	Numerical Recipes	Amazon
William T. Vetterling	Numerical Recipes	Amazon
Saul A. Teukolsky	Numerical Recipes	Amazon
Brian P. Flannery	Numerical Recipes	Amazon
David West	Object Thinking	Amazon
Scott Meyer	Off to Be the Wizard	Amazon
John Scalzi	Old Man’s War	Amazon
Jeff Hawkins	On Intelligence	Amazon
Paul Graham	On Lisp	Amazon
Jack Kerouac	On the Road	Amazon
Seneca	On the Shortness of Life	Amazon
Carl von Clausewitz	On War	Amazon
Stephen King	On Writing	Amazon
William Zinsser	On Writing Well	Amazon
Gabriel García Márquez	One Hundred Years of Solitude	Amazon
John Rothchild	One Up on Wall Street	Amazon
Peter Lynch	One Up on Wall Street	Amazon
Andrew S. Grove	Only the Paranoid Survive	Amazon
Buckminster Fuller	Operating Manual for Spaceship Earth	Amazon
Andrea C. Arpaci-Dusseau	Operating Systems	Amazon
Remzi H. Arpaci-Dusseau	Operating Systems	Amazon
Gerald Teschl	Ordinary Differential Equations	Amazon
G.K. Chesterton	Orthodoxy	Amazon
Max Tegmark	Our Mathematical Universe	Amazon
W. Edwards Deming	Out of the Crisis	Amazon
Malcolm Gladwell	Outliers	Amazon
Peter Norvig	Paradigms of Artificial Intelligence Programming	Amazon
John Milton	Paradise Lost	Amazon
William Gibson	Pattern Recognition	Amazon
Christopher M. Bishop	Pattern Recognition and Machine Learning	Amazon
Martin Fowler	Patterns of Enterprise Application Architecture	Amazon
Robert Pool	Peak	Amazon
Anders Ericsson	Peak	Amazon
Timothy Lister	Peopleware	Amazon
Tom DeMarco	Peopleware	Amazon
Edward Snowden	Permanent Record	Amazon
Greg Egan	Permutation City	Amazon
Isaac Newton	Philosophiæ Naturalis Principia Mathematica	Amazon
Ludwig Wittgenstein	Philosophical Investigations	Amazon
Mark Johnson	Philosophy in the Flesh	Amazon
George Lakoff	Philosophy in the Flesh	Amazon
Oren Klaff	Pitch Anything	Amazon
Charles T. Munger	Poor Charlie’s Almanack	Amazon
Abhijit V. Banerjee	Poor Economics	Amazon
Esther Duflo	Poor Economics	Amazon
Jack Trout	Positioning	Amazon
Al Ries	Positioning	Amazon
Charles Bukowski	Post Office	Amazon
Jeffrey Pfeffer	Power	Amazon
Peter Seibel	Practical Common Lisp	Amazon
Andy Hunt	Pragmatic Thinking and Learning	Amazon
Aaron Ross	Predictable Revenue	Amazon
Dan Ariely	Predictably Irrational	Amazon
Jane Austen	Pride and Prejudice	Amazon
Ray Dalio	Principles	Amazon
N. Gregory Mankiw	Principles of Economics	Amazon
Walter Rudin	Principles of Mathematical Analysis	Amazon
Tim Marshall	Prisoners of Geography	Amazon
E. T. Jaynes	Probability Theory	Amazon
Roberto Ierusalimschy	Programming in Lua	Amazon
Jon Bentley	Programming Pearls	Amazon
Andy Weir	Project Hail Mary	Amazon
Robert Anton Wilson	Prometheus Rising	Amazon
Imre Lakatos	Proofs and Refutations	Amazon
Edward Bernays	Propaganda	Amazon
Maxwell Maltz	Psycho-Cybernetics	Amazon
Seth Godin	Purple Cow	Amazon
Eric Matthes	Python Crash Course	Amazon
Richard Feynman	QED	Amazon
Scott Aaronson	Quantum Computing Since Democritus	Amazon
Daniel V. Schroeder	Quantum Field Theory	Amazon
Michael E. Peskin	Quantum Field Theory	Amazon
Susan Cain	Quiet	Amazon
Kim Scott	Radical Candor	Amazon
Vernor Vinge	Rainbows End	Amazon
David Epstein	Range	Amazon
Eliezer Yudkowsky	Rationality	Amazon
Ernest Cline	Ready Player One	Amazon
Michael Masterson	Ready, Fire, Aim	Amazon
Don Stewart	Real World Haskell	Amazon
Bryan O’Sullivan	Real World Haskell	Amazon
John Goerzen	Real World Haskell	Amazon
Neal Stephenson	Reamde	Amazon
Blake Crouch	Recursion	Amazon
Kim Stanley Robinson	Red Mars	Amazon
Francis Spufford	Red Plenty	Amazon
Pierce Brown	Red Rising	Amazon
Martin Fowler	Refactoring	Amazon
Adam Wathan	Refactoring UI	Amazon
Steve Schoger	Refactoring UI	Amazon
Edwin Lefèvre	Reminiscences of a Stock Operator	Amazon
David Heinemeier Hansson	Remote	Amazon
Jason Fried	Remote	Amazon
Arthur C. Clarke	Rendezvous with Rama	Amazon
Alastair Reynolds	Revelation Space	Amazon
David Heinemeier Hansson	Rework	Amazon
Jason Fried	Rework	Amazon
Robert Kiyosaki	Rich Dad Poor Dad	Amazon
Larry Niven	Ringworld	Amazon
Boris Strugatsky	Roadside Picnic	Amazon
Arkady Strugatsky	Roadside Picnic	Amazon
Daniel Defoe	Robinson Crusoe	Amazon
Ash Maurya	Running Lean	Amazon
Yuval Noah Harari	Sapiens	Amazon
Jeff Sutherland	Scrum	Amazon
John Resig	Secrets of the JavaScript Ninja	Amazon
David Dodd	Security Analysis	Amazon
Benjamin Graham	Security Analysis	Amazon
James C. Scott	Seeing Like a State	Amazon
Peter Bevelin	Seeking Wisdom	Amazon
Ralph Waldo Emerson	Self-Reliance	Amazon
Jean-Philippe Aumasson	Serious Cryptography	Amazon
Carlo Rovelli	Seven Brief Lessons on Physics	Amazon
Bruce Tate	Seven Languages in Seven Weeks	Amazon
Neal Stephenson	Seveneves	Amazon
Gregory David Roberts	Shantaram	Amazon
Phil Knight	Shoe Dog	Amazon
James Clavell	Shogun	Amazon
Matthew B. Crawford	Shop Class as Soulcraft	Amazon
G. Pascal Zachary	Showstopper!	Amazon
Hermann Hesse	Siddhartha	Amazon
Jean Baudrillard	Simulacra and Simulation	Amazon
Jennifer Petoff	Site Reliability Engineering	Amazon
Niall Richard Murphy	Site Reliability Engineering	Amazon
Betsy Beyer	Site Reliability Engineering	Amazon
Chris Jones	Site Reliability Engineering	Amazon
Nassim Nicholas Taleb	Skin in the Game	Amazon
Ben Rich	Skunk Works	Amazon
Kurt Vonnegut	Slaughterhouse-Five	Amazon
Terry Pratchett	Small Gods	Amazon
Shane Snow	SmartCuts	Amazon
Neal Stephenson	Snow Crash	Amazon
Cal Newport	So Good They Can’t Ignore You	Amazon
Hyrum Wright	Software Engineering at Google	Amazon
Tom Manshreck	Software Engineering at Google	Amazon
Titus Winters	Software Engineering at Google	Amazon
Stanislaw Lem	Solaris	Amazon
Jostein Gaarder	Sophie’s World	Amazon
John J. Ratey	Spark	Amazon
Orson Scott Card	Speaker for the Dead	Amazon
Neil Rackham	SPIN Selling	Amazon
Jake Knapp	Sprint	Amazon
Robert A. Heinlein	Starship Troopers	Amazon
Rob Walling	Start Small, Stay Small	Amazon
Jim Camp	Start with No	Amazon
Simon Sinek	Start with Why	Amazon
Mark Rippetoe	Starting Strength	Amazon
Jerry Kaplan	Startup	Amazon
Emily St. John Mandel	Station Eleven	Amazon
A. Philip Davison	Statistical Models	Amazon
Richard McElreath	Statistical Rethinking	Amazon
David Freedman	Statistics	Amazon
Hermann Hesse	Steppenwolf	Amazon
Walter Isaacson	Steve Jobs	Amazon
John Williams	Stoner	Amazon
Ted Chiang	Stories of Your Life and Others	Amazon
Robert A. Heinlein	Stranger in a Strange Land	Amazon
Gerald Jay Sussman	Structure and Interpretation of Computer Programs	Amazon
Harold Abelson	Structure and Interpretation of Computer Programs	Amazon
J.E. Gordon	Structures	Amazon
Daniel Gilbert	Stumbling on Happiness	Amazon
Philip E. Tetlock	Superforecasting	Amazon
Steven D. Levitt	SuperFreakonomics	Amazon
Stephen J. Dubner	SuperFreakonomics	Amazon
Nick Bostrom	Superintelligence	Amazon
Richard P. Feynman	Surely You’re Joking, Mr. Feynman!	Amazon
Iain M. Banks	Surface Detail	Amazon
James Clavell	Tai-Pan	Amazon
Laozi	Tao Te Ching	Amazon
W. Richard Stevens	TCP/IP Illustrated	Amazon
General Stanley McChrystal	Team of Teams	Amazon
Neil Postman	Technopoly	Amazon
Nikole Hannah-Jones	The 1619 Project	Amazon
Al Ries	The 22 Immutable Laws of Marketing	Amazon
Jack Trout	The 22 Immutable Laws of Marketing	Amazon
Robert Greene	The 33 Strategies of War	Amazon
Tim Ferriss	The 4-Hour Body	Amazon
Timothy Ferriss	The 4-Hour Workweek	Amazon
Robert Greene	The 48 Laws of Power	Amazon
Gary Chapman	The 5 Love Languages	Amazon
Stephen R. Covey	The 7 Habits of Highly Effective People	Amazon
Mark Twain	The Adventures of Tom Sawyer	Amazon
Virgil	The Aeneid	Amazon
Paulo Coelho	The Alchemist	Amazon
Iain M. Banks	The Algebraist	Amazon
Steven Skiena	The Algorithm Design Manual	Amazon
Eric Jorgenson	The Almanack of Naval Ravikant	Amazon
Richard Dawkins	The Ancestor’s Tale	Amazon
Charles Petzold	The Annotated Turing	Amazon
Donald Knuth	The Art of Computer Programming	Amazon
Richard Hamming	The Art of Doing Science and Engineering	Amazon
Paul Horowitz	The Art of Electronics	Amazon
Winfield Hill	The Art of Electronics	Amazon
Jesse Schell	The Art of Game Design	Amazon
Dalai Lama	The Art of Happiness	Amazon
Josh Waitzkin	The Art of Learning	Amazon
Erich Fromm	The Art of Loving	Amazon
Richard Rusczyk	The Art of Problem Solving	Amazon
Adrian Slywotzky	The Art of Profitability	Amazon
Leon Sterling	The Art of Prolog	Amazon
Ehud Shapiro	The Art of Prolog	Amazon
Trevor Foucher	The Art of Readable Code	Amazon
Dustin Boswell	The Art of Readable Code	Amazon
Guy Kawasaki	The Art of the Start	Amazon
Rolf Dobelli	The Art of Thinking Clearly	Amazon
Eric S. Raymond	The Art of Unix Programming	Amazon
Sun Tzu	The Art of War	Amazon
Niall Ferguson	The Ascent of Money	Amazon
James Clavell	The Asian Saga	Amazon
Benjamin Franklin	The Autobiography of Benjamin Franklin	Amazon
Alex Haley	The Autobiography of Malcolm X	Amazon
Malcolm X	The Autobiography of Malcolm X	Amazon
Neal Stephenson	The Baroque Cycle	Amazon
Nassim Nicholas Taleb	The Bed of Procrustes	Amazon
David Deutsch	The Beginning of Infinity	Amazon
Golden Krishna	The Best Interface Is No Interface	Amazon
Steven Pinker	The Better Angels of Our Nature	Amazon
Michael Lewis	The Big Short	Amazon
Nassim Nicholas Taleb	The Black Swan	Amazon
Steven Pinker	The Blank Slate	Amazon
Richard Dawkins	The Blind Watchmaker	Amazon
Bill Bryson	The Body	Amazon
Bessel van der Kolk	The Body Keeps the Score	Amazon
Mel Lindauer	The Bogleheads’ Guide to Investing	Amazon
Laura F. Dogu	The Bogleheads’ Guide to Investing	Amazon
Taylor Larimore	The Bogleheads’ Guide to Investing	Amazon
Alan Watts	The Book	Amazon
Miyamoto Musashi	The Book of Five Rings	Amazon
Joseph Smith	The Book of Mormon	Amazon
Gene Wolfe	The Book of the New Sun	Amazon
Judea Pearl	The Book of Why	Amazon
Marc Levinson	The Box	Amazon
N.K. Jemisin	The Broken Earth Trilogy	Amazon
Fyodor Dostoevsky	The Brothers Karamazov	Amazon
Brian W. Kernighan	The C Programming Language	Amazon
Dennis M. Ritchie	The C Programming Language	Amazon
Dr. Seuss	The Cat in the Hat	Amazon
J.D. Salinger	The Catcher in the Rye	Amazon
Eric S. Raymond	The Cathedral and the Bazaar	Amazon
Brent Adamson	The Challenger Sale	Amazon
Matthew Dixon	The Challenger Sale	Amazon
Olivia Fox Cabane	The Charisma Myth	Amazon
Atul Gawande	The Checklist Manifesto	Amazon
Roger Zelazny	The Chronicles of Amber	Amazon
C.S. Lewis	The Chronicles of Narnia	Amazon
Dave Eggers	The Circle	Amazon
Robert C. Martin	The Clean Coder	Amazon
Jonathan Haidt	The Coddling of the American Mind	Amazon
Greg Lukianoff	The Coddling of the American Mind	Amazon
Simon Singh	The Code Book	Amazon
Gary William Flake	The Computational Beauty of Nature	Amazon
Bertrand Russell	The Conquest of Happiness	Amazon
Alexandre Dumas	The Count of Monte Cristo	Amazon
Ichiro Kishimi	The Courage to Be Disliked	Amazon
Fumitake Koga	The Courage to Be Disliked	Amazon
Rick Rubin	The Creative Act	Amazon
Clifford Stoll	The Cuckoo’s Egg	Amazon
Iain M. Banks	The Culture Series	Amazon
Mark Haddon	The Curious Incident of the Dog in the Night-Time	Amazon
Stephen Hanselman	The Daily Stoic	Amazon
Ryan Holiday	The Daily Stoic	Amazon
Liu Cixin	The Dark Forest	Amazon
Stephen King	The Dark Tower	Amazon
David Wengrow	The Dawn of Everything	Amazon
David Graeber	The Dawn of Everything	Amazon
Jane Jacobs	The Death and Life of Great American Cities	Amazon
Carl Sagan	The Demon-Haunted World	Amazon
Ernest Becker	The Denial of Death	Amazon
Frederick P. Brooks Jr.	The Design of Design	Amazon
Don Norman	The Design of Everyday Things	Amazon
Gene Kim	The DevOps Handbook	Amazon
John Willis	The DevOps Handbook	Amazon
Jez Humble	The DevOps Handbook	Amazon
Patrick Debois	The DevOps Handbook	Amazon
Neal Stephenson	The Diamond Age	Amazon
Anne Frank	The Diary of a Young Girl	Amazon
Bruce Bueno de Mesquita	The Dictator’s Handbook	Amazon
Alastair Smith	The Dictator’s Handbook	Amazon
Seth Godin	The Dip	Amazon
Michael Treacy	The Discipline of Market Leaders	Amazon
Fred Wiersema	The Discipline of Market Leaders	Amazon
Ursula K. Le Guin	The Dispossessed	Amazon
Dante Alighieri	The Divine Comedy	Amazon
Carl Sagan	The Dragons of Eden	Amazon
M. Mitchell Waldrop	The Dream Machine	Amazon
Michael E. Gerber	The E-Myth Revisited	Amazon
Allen Carr	The Easy Way to Stop Smoking	Amazon
Edmond Lau	The Effective Engineer	Amazon
Peter Drucker	The Effective Executive	Amazon
Brian Greene	The Elegant Universe	Amazon
Noam Nisan	The Elements of Computing Systems	Amazon
Shimon Schocken	The Elements of Computing Systems	Amazon
Robert Tibshirani	The Elements of Statistical Learning	Amazon
Jerome Friedman	The Elements of Statistical Learning	Amazon
Trevor Hastie	The Elements of Statistical Learning	Amazon
E.B. White	The Elements of Style	Amazon
William Strunk Jr.	The Elements of Style	Amazon
Robert Bringhurst	The Elements of Typographic Style	Amazon
Robin Hanson	The Elephant in the Brain	Amazon
Kevin Simler	The Elephant in the Brain	Amazon
Siddhartha Mukherjee	The Emperor of All Maladies	Amazon
Roger Penrose	The Emperor’s New Mind	Amazon
Epictetus	The Enchiridion	Amazon
Brad Stone	The Everything Store	Amazon
James S.A. Corey	The Expanse	Amazon
Richard Dawkins	The Extended Phenotype	Amazon
Brian Greene	The Fabric of the Cosmos	Amazon
Dan Simmons	The Fall of Hyperion	Amazon
Robin Hobb	The Farseer Trilogy	Amazon
J.R.R. Tolkien	The Fellowship of the Ring	Amazon
Richard P. Feynman	The Feynman Lectures on Physics	Amazon
Peter Senge	The Fifth Discipline	Amazon
Jiddu Krishnamurti	The First and Last Freedom	Amazon
Patrick Lencioni	The Five Dysfunctions of a Team	Amazon
Joe Haldeman	The Forever War	Amazon
Ayn Rand	The Fountainhead	Amazon
Don Miguel Ruiz	The Four Agreements	Amazon
Steve Blank	The Four Steps to the Epiphany	Amazon
Neil Strauss	The Game	Amazon
Siddhartha Mukherjee	The Gene	Amazon
John Maynard Keynes	The General Theory of Employment, Interest, and Money	Amazon
Stieg Larsson	The Girl with the Dragon Tattoo	Amazon
Hermann Hesse	The Glass Bead Game	Amazon
Brian W. Kernighan	The Go Programming Language	Amazon
Alan A. A. Donovan	The Go Programming Language	Amazon
Eliyahu M. Goldratt	The Goal	Amazon
Richard Dawkins	The God Delusion	Amazon
Mario Puzo	The Godfather	Amazon
Isaac Asimov	The Gods Themselves	Amazon
John Steinbeck	The Grapes of Wrath	Amazon
F. Scott Fitzgerald	The Great Gatsby	Amazon
Julia Donaldson	The Gruffalo	Amazon
Aleksandr Solzhenitsyn	The Gulag Archipelago	Amazon
Barbara W. Tuchman	The Guns of August	Amazon
Margaret Atwood	The Handmaid’s Tale	Amazon
Jonathan Haidt	The Happiness Hypothesis	Amazon
Ben Horowitz	The Hard Thing About Hard Things	Amazon
Andrew Huang	The Hardware Hacker	Amazon
Joseph Campbell	The Hero with a Thousand Faces	Amazon
Herodotus	The Histories	Amazon
Douglas Adams	The Hitchhiker’s Guide to the Galaxy	Amazon
J.R.R. Tolkien	The Hobbit	Amazon
Jon Gertner	The Idea Factory	Amazon
Fyodor Dostoevsky	The Idiot	Amazon
Homer	The Iliad	Amazon
Robert Anton Wilson	The Illuminatus! Trilogy	Amazon
Robert Shea	The Illuminatus! Trilogy	Amazon
James Gleick	The Information	Amazon
Alan Cooper	The Inmates Are Running the Asylum	Amazon
W. Timothy Gallwey	The Inner Game of Tennis	Amazon
Clayton M. Christensen	The Innovator’s Dilemma	Amazon
Walter Isaacson	The Innovators	Amazon
Benjamin Graham	The Intelligent Investor	Amazon
Andrea Wulf	The Invention of Nature	Amazon
Michael Fogus	The Joy of Clojure	Amazon
Chris Houser	The Joy of Clojure	Amazon
Leo Tolstoy	The Kingdom of God Is Within You	Amazon
Patrick Rothfuss	The Kingkiller Chronicle	Amazon
Lewis Dartnell	The Knowledge	Amazon
Steven Pinker	The Language Instinct	Amazon
Randy Pausch	The Last Lecture	Amazon
Isaac Asimov	The Last Question	Amazon
Eric Ries	The Lean Startup	Amazon
Ursula K. Le Guin	The Left Hand of Darkness	Amazon
Ariel Durant	The Lessons of History	Amazon
Will Durant	The Lessons of History	Amazon
Marie Kondo	The Life-Changing Magic of Tidying Up	Amazon
Michael Kerrisk	The Linux Programming Interface	Amazon
Antoine de Saint-Exupéry	The Little Prince	Amazon
Jeffrey Gitomer	The Little Red Book of Selling	Amazon
Daniel P. Friedman	The Little Schemer	Amazon
Matthias Felleisen	The Little Schemer	Amazon
J.R.R. Tolkien	The Lord of the Rings	Amazon
Thomas Mann	The Magic Mountain	Amazon
David J. Schwartz	The Magic of Thinking Big	Amazon
Lev Grossman	The Magicians	Amazon
Richard Rhodes	The Making of the Atomic Bomb	Amazon
Philip K. Dick	The Man in the High Castle	Amazon
Paul Hoffman	The Man Who Loved Only Numbers	Amazon
Oliver Sacks	The Man Who Mistook His Wife for a Hat	Amazon
Camille Fournier	The Manager’s Path	Amazon
Andy Weir	The Martian	Amazon
Pedro Domingos	The Master Algorithm	Amazon
Mikhail Bulgakov	The Master and Margarita	Amazon
Tim Wu	The Master Switch	Amazon
Franz Kafka	The Metamorphosis	Amazon
MJ DeMarco	The Millionaire Fastlane	Amazon
Thomas J. Stanley	The Millionaire Next Door	Amazon
William D. Danko	The Millionaire Next Door	Amazon
Culadasa (John Yates)	The Mind Illuminated	Amazon
Daniel Dennett	The Mind’s I	Amazon
Douglas Hofstadter	The Mind’s I	Amazon
Kim Stanley Robinson	The Ministry for the Future	Amazon
Stephen Jay Gould	The Mismeasure of Man	Amazon
Scott E. Page	The Model Thinker	Amazon
Rob Fitzpatrick	The Mom Test	Amazon
Robert A. Heinlein	The Moon is a Harsh Mistress	Amazon
Robert Wright	The Moral Animal	Amazon
Martha Wells	The Murderbot Diaries	Amazon
Jules Verne	The Mysterious Island	Amazon
Albert Camus	The Myth of Sisyphus	Amazon
Frederick P. Brooks Jr.	The Mythical Man-Month	Amazon
Desmond Morris	The Naked Ape	Amazon
Umberto Eco	The Name of the Rose	Amazon
Patrick Rothfuss	The Name of the Wind	Amazon
Michelle Alexander	The New Jim Crow	Amazon
Various	The New Testament	Amazon
Ryan Holiday	The Obstacle Is the Way	Amazon
Homer	The Odyssey	Amazon
Ernest Hemingway	The Old Man and the Sea	Amazon
Michael Pollan	The Omnivore’s Dilemma	Amazon
Spencer Johnson	The One Minute Manager	Amazon
Ken Blanchard	The One Minute Manager	Amazon
Karl Popper	The Open Society and Its Enemies	Amazon
Daniel J. Levitin	The Organized Mind	Amazon
Julian Jaynes	The Origin of Consciousness in the Breakdown of the Bicameral Mind	Amazon
Eric D. Beinhocker	The Origin of Wealth	Amazon
Francis Fukuyama	The Origins of Political Order	Amazon
Stephen King	The Outsider	Amazon
Chad Fowler	The Passionate Programmer	Amazon
Eric M. Jackson	The PayPal Wars	Amazon
Steven Watts	The People’s Tycoon	Amazon
Simon Winchester	The Perfectionists	Amazon
William Gibson	The Peripheral	Amazon
Josh Kaufman	The Personal MBA	Amazon
Norton Juster	The Phantom Tollbooth	Amazon
George Spafford	The Phoenix Project	Amazon
Kevin Behr	The Phoenix Project	Amazon
Gene Kim	The Phoenix Project	Amazon
Oscar Wilde	The Picture of Dorian Gray	Amazon
Iain M. Banks	The Player of Games	Amazon
Robert A. Caro	The Power Broker	Amazon
Tony Schwartz	The Power of Full Engagement	Amazon
Jim Loehr	The Power of Full Engagement	Amazon
Charles Duhigg	The Power of Habit	Amazon
Eckhart Tolle	The Power of Now	Amazon
Brené Brown	The Power of Vulnerability	Amazon
Rob Pike	The Practice of Programming	Amazon
Brian W. Kernighan	The Practice of Programming	Amazon
David Thomas	The Pragmatic Programmer	Amazon
Andrew Hunt	The Pragmatic Programmer	Amazon
Niccolò Machiavelli	The Prince	Amazon
Timothy Gowers	The Princeton Companion to Mathematics	Amazon
Donald G. Reinertsen	The Principles of Product Development Flow	Amazon
Daniel Yergin	The Prize	Amazon
Kahlil Gibran	The Prophet	Amazon
Gerald M. Weinberg	The Psychology of Computer Programming	Amazon
Morgan Housel	The Psychology of Money	Amazon
Barbara Minto	The Pyramid Principle	Amazon
Matt Ridley	The Rational Optimist	Amazon
Kazuo Ishiguro	The Remains of the Day	Amazon
Plato	The Republic	Amazon
George S. Clason	The Richest Man in Babylon	Amazon
Jonathan Haidt	The Righteous Mind	Amazon
William L. Shirer	The Rise and Fall of the Third Reich	Amazon
Edmund Morris	The Rise of Theodore Roosevelt	Amazon
Cormac McCarthy	The Road	Amazon
M. Scott Peck	The Road Less Traveled	Amazon
Roger Penrose	The Road to Reality	Amazon
Friedrich Hayek	The Road to Serfdom	Amazon
Graeme Simsion	The Rosie Project	Amazon
Carol Nichols	The Rust Programming Language	Amazon
Steve Klabnik	The Rust Programming Language	Amazon
Neil Gaiman	The Sandman	Amazon
Salman Rushdie	The Satanic Verses	Amazon
Bill Walsh	The Score Takes Care of Itself	Amazon
Gerald M. Weinberg	The Secrets of Consulting	Amazon
Richard Dawkins	The Selfish Gene	Amazon
Steven Pinker	The Sense of Style	Amazon
Carlos Ruiz Zafón	The Shadow of the Wind	Amazon
Nate Silver	The Signal and the Noise	Amazon
J.R.R. Tolkien	The Silmarillion	Amazon
JL Collins	The Simple Path to Wealth	Amazon
Ray Kurzweil	The Singularity Is Near	Amazon
Kurt Vonnegut	The Sirens of Titan	Amazon
Nathaniel Branden	The Six Pillars of Self-Esteem	Amazon
Christopher Clark	The Sleepwalkers	Amazon
Jeff Olson	The Slight Edge	Amazon
Alice Schroeder	The Snowball	Amazon
Marvin Minsky	The Society of Mind	Amazon
Tracy Kidder	The Soul of a New Machine	Amazon
Steve Blank	The Startup Owner’s Manual	Amazon
Brandon Sanderson	The Stormlight Archive	Amazon
Will Durant	The Story of Philosophy	Amazon
Albert Camus	The Stranger	Amazon
Thomas Kuhn	The Structure of Scientific Revolutions	Amazon
Mark Manson	The Subtle Art of Not Giving a F*ck	Amazon
Ernest Hemingway	The Sun Also Rises	Amazon
Fritjof Capra	The Tao of Physics	Amazon
Benjamin Hoff	The Tao of Pooh	Amazon
Tim O’Brien	The Things They Carried	Amazon
Alexandre Dumas	The Three Musketeers	Amazon
Liu Cixin	The Three-Body Problem	Amazon
Christopher Alexander	The Timeless Way of Building	Amazon
Malcolm Gladwell	The Tipping Point	Amazon
Jeffrey K. Liker	The Toyota Way	Amazon
Franz Kafka	The Trial	Amazon
Eric Hoffer	The True Believer	Amazon
Chet Holmes	The Ultimate Sales Machine	Amazon
Milan Kundera	The Unbearable Lightness of Being	Amazon
Tim Harford	The Undercover Economist	Amazon
Brian W. Kernighan	The Unix Programming Environment	Amazon
Rob Pike	The Unix Programming Environment	Amazon
Tom Standage	The Victorian Internet	Amazon
Edward Tufte	The Visual Display of Quantitative Information	Amazon
Nick Lane	The Vital Question	Amazon
Steven Pressfield	The War of Art	Amazon
Brandon Sanderson	The Way of Kings	Amazon
David Deida	The Way of the Superior Man	Amazon
Alan Watts	The Way of Zen	Amazon
Adam Smith	The Wealth of Nations	Amazon
Robert Jordan	The Wheel of Time	Amazon
Kelly McGonigal	The Willpower Instinct	Amazon
Haruki Murakami	The Wind-Up Bird Chronicle	Amazon
Alan Watts	The Wisdom of Insecurity	Amazon
Patrick Rothfuss	The Wise Man’s Fear	Amazon
Arthur Schopenhauer	The World as Will and Representation	Amazon
Robert Heilbroner	The Worldly Philosophers	Amazon
Robert A. Caro	The Years of Lyndon Johnson	Amazon
Chinua Achebe	Things Fall Apart	Amazon
Napoleon Hill	Think and Grow Rich	Amazon
Leo Brodie	Thinking Forth	Amazon
Annie Duke	Thinking in Bets	Amazon
Donella Meadows	Thinking in Systems	Amazon
Daniel Kahneman	Thinking, Fast and Slow	Amazon
David Foster Wallace	This Is Water	Amazon
Friedrich Nietzsche	Thus Spoke Zarathustra	Amazon
Robert A. Heinlein	Time Enough for Love	Amazon
Ron Chernow	Titan	Amazon
Henry Petroski	To Engineer is Human	Amazon
Harper Lee	To Kill a Mockingbird	Amazon
Daniel H. Pink	To Sell Is Human	Amazon
Virginia Woolf	To the Lighthouse	Amazon
Andrew Ross Sorkin	Too Big to Fail	Amazon
Tim Ferriss	Tools of Titans	Amazon
Ludwig Wittgenstein	Tractatus Logico-Philosophicus	Amazon
Gabriel Weinberg	Traction	Amazon
Justin Mares	Traction	Amazon
Larry Harris	Trading and Exchanges	Amazon
Michael Crichton	Travels	Amazon
Robert Louis Stevenson	Treasure Island	Amazon
John King	Tribal Leadership	Amazon
Dave Logan	Tribal Leadership	Amazon
Halee Fischer-Wright	Tribal Leadership	Amazon
Ryan Holiday	Trust Me, I’m Lying	Amazon
George Dyson	Turing’s Cathedral	Amazon
L. David Marquet	Turn the Ship Around!	Amazon
Benjamin C. Pierce	Types and Programming Languages	Amazon
Philip K. Dick	Ubik	Amazon
James Joyce	Ulysses	Amazon
Stephen Abbott	Understanding Analysis	Amazon
Scott McCloud	Understanding Comics	Amazon
Noam Chomsky	Understanding Power	Amazon
Iain M. Banks	Use of Weapons	Amazon
Alan Moore	V for Vendetta	Amazon
Rolf Potts	Vagabonding	Amazon
Philip K. Dick	VALIS	Amazon
Brad Feld	Venture Deals	Amazon
Jason Mendelson	Venture Deals	Amazon
Tristan Needham	Visual Complex Analysis	Amazon
Sam Harris	Waking Up	Amazon
Henry David Thoreau	Walden	Amazon
Leo Tolstoy	War and Peace	Amazon
Alan Moore	Watchmen	Amazon
John Berger	Ways of Seeing	Amazon
Yevgeny Zamyatin	We	Amazon
Dennis E. Taylor	We Are Legion (We Are Bob)	Amazon
Cathy O’Neil	Weapons of Math Destruction	Amazon
Richard Feynman	What Do You Care What Other People Think?	Amazon
Marshall Goldsmith	What Got You Here Won’t Get You There	Amazon
Haruki Murakami	What I Talk About When I Talk About Running	Amazon
Randall Munroe	What If?	Amazon
Herbert Robbins	What is Mathematics?	Amazon
Richard Courant	What is Mathematics?	Amazon
John Markoff	What the Dormouse Said	Amazon
Paul Kalanithi	When Breath Becomes Air	Amazon
Roger Lowenstein	When Genius Failed	Amazon
Matthew Lyon	Where Wizards Stay Up Late	Amazon
Katie Hafner	Where Wizards Stay Up Late	Amazon
Jon Kabat-Zinn	Wherever You Go, There You Are	Amazon
Spencer Johnson	Who Moved My Cheese?	Amazon
Robert Wright	Why Buddhism is True	Amazon
James A. Robinson	Why Nations Fail	Amazon
Daron Acemoglu	Why Nations Fail	Amazon
Matthew Walker	Why We Sleep	Amazon
Mark Russinovich	Windows Internals	Amazon
David Solomon	Windows Internals	Amazon
Alex Ionescu	Windows Internals	Amazon
A.A. Milne	Winnie-the-Pooh	Amazon
Hugh Howey	Wool	Amazon
Brandon Sanderson	Words of Radiance	Amazon
Studs Terkel	Working	Amazon
Orson Scott Card	Xenocide	Amazon
Joe Dominguez	Your Money or Your Life	Amazon
Robert M. Pirsig	Zen and the Art of Motorcycle Maintenance	Amazon
Paul Reps	Zen Flesh, Zen Bones	Amazon
Shunryu Suzuki	Zen Mind, Beginner’s Mind	Amazon
Peter Thiel	Zero to One	Amazon

Local Minimum

Sun, 09 Jun 2024 02:18:00 GMT

Well, it's been a little while since I've been back here writing, but been wanting to get some of these thoughts just for my own posterity if nothing else.

The original title for this post was "Rock. Bottom.", an homage to SpongeBob taking an unexpected bus trip to where else? But I felt that was a little dramatic, despite how it felt at the time.

A gut punch

About ten months ago I was laid off. I've been lucky enough to not have too many terrible days in my life that I can remember, but this one is definitely up there.

I remember it like it was yesterday. A Thursday. My son had been born barely a month prior. My mother-in-law had passed not 10 days ago. We had been through a tumultuous spring and summer after my wife was rear-ended during her third trimester. We were driving home from the park after finally feeling like things would settle down.

A “Team Sync” had been conditionally put on my calendar for 30 mins from now, with the CEO as the meeting organizer. Since I was on paternity leave, I messaged him saying as such, but I could jump on if urgent. Turns out, it was urgent, but it wouldn’t get that far. A nice woman from Human Resources called to inform me of the news. I'd been laid off.

I immediately launched into protest. "I'm on paternity leave! Is that even legal?!"

"It's legal so long as it's a mass firing," she calmly replied. My heart sank. My wife and kids were in the car with me, listening to their dad lose his job.

It took a day or two for everyone to get an alumni discord together, but it turns out that 75%+ of engineering had been laid off in a shock move to all of us. We'd been told 4 months prior that no further layoffs were planned after a 15% RIF.

We had to go home so that I could go absorb what had just happened. I went from being gainfully employed to seriously worried about paying bills in a literal instant. Sure we could have liquidated investments if needed, so maybe all my stress was ultimately unwarranted, but that's not really a course of action that you want to take.

It's obviously hard to not fixate on anything but what had just happened. I was nearly silent at dinner if memory serves. Bedtime with the kids was a blur. (Parenting generally feels like a blur sometimes, so maybe this isn't earth-shattering) But I eventually went to bed and boy was sleep the most impossible thing to come by for the next week. Considering my newborn was hardly a month old, this probably just compounded how bad everything felt at the time.

I toiled in bed, tossing and turning, combing over LinkedIn job postings I might be suited for, mentally re-calculating our runway (long enough to find a job, but not forever with 4 mouths to feed at home).

This was in the midst of a year-long cycle of layoffs in the tech industry, and there was a flood of candidates far more capable for every job that was seemingly out there. It was not going to be easy or pretty.

The next week was surreal. I'd start the day, trying to hang out with my kids and keep to some semblance of routine - make breakfast, play some outside, take the dog for a walk - but inside stress and anxiety loomed large. What would happen if I couldn't get a job? How long could we last? What would I say to my wife? How would I explain to my kids if the worst would happen.

Some leads came through in the next few days and into the following week. Nothing hugely promising, but jobs nonetheless. I was preparing for a slog. It was tough out there. Seemed like everywhere that expressed some interest could work out, but when you just want to know that you have A job, having to have the same conversation with recruiters over and over again, explaining what you're good/bad at, why you're on the market, what you're looking for, etc. just becomes exhausting, rather than invigorating as a job search can be when you're in control.

Days were spent leet-coding, pretending to my kids that everything was okay, taking the youngest for walking naps, and then back to leet-coding, interview prep, or side project building. Anything and everything to keep sharp or have something to show for myself. Focusing on my own health became a luxury. It's all work all the time when you're job hunting with kids at home. Sleep was terrible. No exercise or time to reflect. Pedal to the metal, because that was the only thing I knew how to do. Work every waking minute that could be spared on getting a job.

They don't tell you how much responsibility comes with being a parent, and maybe specifically a dad when you're the sole income earner, but boy do you feel the weight of it when you don't have a job. All of a sudden you have an all-consuming purpose in life: put food on the table and keep the roof over the heads.

I'm probably being a silly goose

It's not lost on me that I'm probably sounding all too dramatic in this stupid essay 10 months later, talking about how dire the straits were when I still had 8+ weeks of runway, investments I could fall back on, and plenty of family nearby if worst came to worst. But I don't think I've ever felt a fight or flight like response so strong in my life. The fatherly urge to ensure your clan is taken care of when you're no longer in control is like nothing else I've experienced.

Just a fool's hope

After 4 or 5 business days, a former co-worker connected. His firm was hiring. Despite plenty of initial phone calls with recruiters and hiring managers, nothing had really panned out yet, so having my foot in the door at a place, even if I hadn't heard of them was a relief.

The interview process was expedited, though as it turns out that's just how they roll with everything they do. 4 interviews in 2 days - a senior engineer, a director of software engineering, and chief engineer, followed by an HR phone call as well.

To this day I don't think I nailed any of them. I was fraziled, sleep deprived, and probably having low key panic/anxiety moments at least once a day. But somehow I talked my way through to a final round call with the CEO, I guess convincing people I knew what I was doing. Fake it till you make it am I right? I was fortunate to have the support of the internal referral, and some of his guidance along the way. (If you're reading this, Matt, you single-handedly changed the trajectory of my life and my family's)

For all my melodramatics about how hard this period was, and it was, the interview process with Dfinitiv was so quick and smooth that I really have no place to sit here and ramble and complain. I didn't have to code, I just had to talk and not seem like an idiot.

Thankfully, they saw something in me. Hardly know what it was at the time, but I'd like to think I've pulled my weight since being brought on.

Relief

To my genuine surprise, within 8 days I found myself with an offer in hand. Much sooner than I expected, and again, not really that long that I deserve to write some long ass blog post about how hard it was. But it felt hard. Felt hard as fuck. And scary. I was 31 years old with 2 kids, a wife and a mortgage we'd maybe over-extended ourselves into.

I cried when I was on the phone with HR when I got the news. Don't cry much these days, but the weight of the world (my world, at least) had been lifted. I knew we wouldn't be homeless. I knew I wouldn't have to tell my kids we couldn't afford necessities and we wouldn't have to move in with Pop-Pop. I called my parents and brother to tell them the news, still in shock of the miracle/life-line that was thrown my way.

Reflection

It was short but stressful, but dammit if I'm ever going to look down on folks who have lost their jobs again. I'd worked hard at my previous gig, just like countless others, but it was out of our control. But it also reinforced some things to me about putting myself in a position to not go through this again.

Be useful. I'm not the best engineer at this new place, I'm middle of the road at best. Frankly everyone there is a top notch guy or gal, but there's no resting on laurels - from me or anyone.

Ship shit. Provide value. Build things that move the business. Be irreplacable. Or at least work hard enough that they'd have to really be in a bad spot to get rid of you.
Diversify. I've never been the kind of guy that ships a profitable side project, but I've started to take the prospect more seriously so that funds don't run dry if stuff doesn't go to plan, and you can always lean into that full time if you needed to. It's hard to do with the workload of a fulltime job with 2 energizer-bunny kids, but a few sleepless nights here and there to ensure you've got cash coming in is probably worth it.
Network network network Follows on point 1, but if you work hard and are good at your craft, others will go to bat for you if they can help you. I'm hopeful to not find myself in this position again, but I'm even willing to pay it forward for someone else that's shown they care about their work than I was before.
Keep an emergency fund, more than you think you need. Our savings account was far too dry for someone with 2 kids. I'm now trying to keep 4 full months worth of an E-fund, even if it pains me to not have it in the market making money.

I try to steer clear of click-baity listicles, but I've wanted to get these out for some time. I could list 10 more silly things about "What getting fired taught me about B2B sales" or some stupid LinkedIn engagement-bait post, but I'll try to keep it to that.

Dfinitiv

Not a day goes by I don't think about how lucky I am to be where I am. Learning under a pair of co-founders with 3 successful exits (batting 1.000) and a top-notch team of people who care just as much as I do about doing good work. No more lazy contractors. Everyone rowing in the same direction. The floor is just so much higher here. We don't do ceremonies. Just a standup and get going with your work. We're trusted to do our best work and management gets out of our way. Better yet they actively support us.

Turns out, when everyone you hire is good, you don't need to micro-manage. You just ideate, get code written, shipped and iterate. That's literally it. WHO KNEW.

That's all folks?

Thanks for listening dear reader. There was no real point to any of this post, except to get some of these thoughts out of my brain and onto paper. Seriously this may be one of my dumbest blog posts ever. But if you happen to come across this and lost your job, hang in there mate. It sucks, but you will get through it. And once you're through to the other side, see who else you can throw a rope to. It's a big industry, but it's not that big. A little generousity and hard work goes a long way to helping make sure others are willing to help you when the time comes. You can be prepared on your own, but as a half-decent rock band once said,

"I get by with a little help from my friends"

Organizing ebook files with pythonIf you want to skip to the code snippets, click

Tue, 27 Sep 2022 22:05:00 GMT

Full python file available here on GitHub

The Problem

Over the years, I’ve accumulated many hundreds of ebooks. Some from buying digital copies from places like Gumroad, others free online like Software Engineering at Google, or a vast majority, torrenting digital copies of ones that sit on my physical bookshelf in my office (don’t sue me? I just want easy access to information!)

However as I became more and more busy, keeping a clean file structure to allow me to find what I’m looking for became harder and harder. The result was a hodgepodge of files without naming conventions, directories upon directories labeled “unorganized” as I tried to manually sift through hundreds of files, manually renaming them to the format I wanted, and placed inside of a single directory per book. It just became too much.

This was basically me when looking for anything:

What I Wanted the End to Look Like

Books Directory/
  title-author/
    title-author.epub
  title2-author2/
    title2-author.pdf

In wanting to self host a calibre instance with all of my files, ingesting them via 1 directory per book seemed like the best system. It was also incredibly necessary for just reading the files locally from my desktops via my NAS.

Why Python? 🐍

A quick overview of the parts needed to accomplish this. First and foremost, I decided to go with Python the language of choice for this project for a couple reasons.

While it does involve renaming files, which could be easily done with bash, the logic was going to be a little complicated in terms of passing data between functions to-and-fro, which means bash would get a little tough to read IMO.

Python also has a rich ecosystem of ebook parsing libraries, and fairly easily handles things like file renaming, extensions, environment variables on Linux machines, which is what my NAS box runs. And while my first language is typescript/javascript, so I could’ve utilized something like BASH + Google’s ZX, it felt like a good case to try to get some experience with Python, which I’ve never really used. Luckily VS Code’s intellisense (with some Python plugins), and Python’s relatively simple syntax made it quite easy to get from A→ B in terms of getting the pieces all put together.

The Individual Pieces of The Book Sorting Program

This was how I broke down the individual parts of this sorting library

Gather all files from my unorganized directory, ideally recursively
Parse metadata from any ebooks in my library.
1. EPUB files
2. PDF files
Organize books into their new location (<author-title>/<author-title>.<ext>
(Optional) Reading library paths for input, outputs and any issue files

Gathering All Unorganized Files

Grabbing all my files and putting them into one flat directory wasn’t too bad. I called this my BOOKSORT_INPUT_PATH variable. Currently it’s grabbed from the command line environment, but it could be refactored to take as CLI args, or just hard-coded defaults.

# Returns all files in a directory
def getAllFiles(path: string):
    files = []
    for r, d, f in os.walk(path): #r - root, d - dir, f - file
        for file in f:
            if file.endswith(".pdf") or file.endswith(".epub"):
                files.append(os.path.join(r, file))
    print(files)
    return files

This chunk is relatively straightforward hopefully. Given a directory, walk the directory and for each file path found that ends with .pdf or .epub add it to an array, and then return the array. This will give us a list of files to lookup the metadata for, and then eventually sort.

The array will look like this:

['/full/path/to/book/book.epub','/full/path/to/book2/book2.pdf',...]

This array gets returned from the function, so we can iterate over the list of book files to sort.

Parsing Metadata

Parsing the metadata was relatively straightforward: Find epub and pdf parsing libraries, implement and grab the correct fields.

For epub files we’re using epub_meta. Make sure you install with pip install epub_meta or pip3 install epub_meta

For pdf file we’re using pdfx. This also needs an install with pip install pdfx or pip3 install pdfx

For all the files in our array, we’re going to pass them to their respective parsing functions like so:

for file in files:
        TitleAndAuthorString = ""
        if file.endswith(".epub"):
            TitleAndAuthorString = getEpubTitleAndAuthorPath(file)
        if file.endswith(".pdf"):
            TitleAndAuthorString = getPdfTitleAndAuthorPath(file)

EPUB Files

# Returns the title and author of an epub file in the format "Title - Author"
def getEpubTitleAndAuthorPath(filepath: string):
    try:
        print("INFO: Getting metadata for: " + filepath)
        data = epub_meta.get_epub_metadata(filepath)
        title = data['title'] or "Unknown"
        authors =", ".join(data['authors']) or "Unknown"
        print("INFO: Got metadata for " + filepath + ": " + title + " - " + authors)
        return(title + " - " + authors)
    except epub_meta.EPubException as e:
        print(e)
        return None

EPUB_META allows us to grab the metadata with this line

data = epub_meta.get_epub_metadata(filepath)

and then specific fields like this:

title = data['title'] or "Unknown"
authors =", ".join(data['authors']) or "Unknown" (In this case, we’re doing a join with a comma in case there is more than 1 author.

Both of these will fallback to Unknown if we can’t parse the metadata for some reason.

PDF Files

def getPdfTitleAndAuthorPath(filepath: string):
    issuesPath = os.environ["BOOKSORT_ISSUES_PATH"]
    file = filepath
    try:
        print("INFO: Getting metadata for: " + filepath)
        pdf = pdfx.PDFx(filepath)
        metadata = pdf.get_metadata()
        title = metadata.get("Title") or "Unknown"
        authors = metadata.get("Author") or "Unknown"
        print("INFO: Got metadata for " + filepath + ": " + title + " - " + authors)
        return(title + " - " + authors)
    except pdfx.exceptions.PDFInvalidError as e:
        print(e)
        print("ERROR: Moving " + getFileName(file) + " to issues folder")
        os.rename(file, issuesPath + "/" + getFileName(file))
        return None
    except pdfx.exceptions.PDFExtractionError as e:
        print(e)
        print("ERROR: Moving " + getFileName(file) + " to issues folder")
        os.rename(file, issuesPath + "/" + getFileName(file))
        return None
    except pdfx.exceptions.FileNotFoundError as e:
        print(e)
        print("ERROR: Moving " + getFileName(file) + " to issues folder")
        os.rename(file, issuesPath + "/" + getFileName(file))
        return None

PDFX allows us to read metadata in a similar fashion.

After creating the pdf and parsing metadata with these two lines

pdf = pdfx.PDFx(filepath)
metadata = pdf.get_metadata()

We can read from the metadata with the .get(<fieldName>) method

title = metadata.get("Title") or "Unknown"
authors = metadata.get("Author") or "Unknown" 
# The Authors field is already comma delmited by PDFX, so no need to join here.
...
return(title + " - " + authors)

We’ll also create a function to return the file extension for proper renaming later.

# Returns the file extension of a file
def getFileExtension(file):
    return os.path.splitext(file)[1]

Organizing the Files to their Final Locations

Lastly, we do some os.makedirs and os.rename magic to move things around and create the needed directories if it doesn’t already exist.

extension = getFileExtension(file) # grab this so we can rename easily. 

if TitleAndAuthorString and "Unknown" not in TitleAndAuthorString:
    if not os.path.exists(outputPath + "/" + TitleAndAuthorString):
        os.makedirs(outputPath + "/" + TitleAndAuthorString)
    print("SUCCESS: Moving " + TitleAndAuthorString)
    os.rename(file, outputPath + "/" + TitleAndAuthorString + "/" + TitleAndAuthorString + extension)
    # My desired file output path is <BooksDir>/<Title> - <Author>/<Title> - <Author>.{pdf,epub,etc}
# There was an issue parsing the file, let's just move it to an `issues` folder to be manually looked at later
else:
    print("WARN: Moving " + getFileName(file) + " to issues folder")
    os.rename(file, issuesPath + "/" + getFileName(file))
    continue

os.makedirs(...) creates the directory if needed

os.rename(...) takes the existing file at the specified path, and then the final (absolute) path for the file. So in this case it’s <output-directory>/+ "/" + TitleAndAuthorString + "/" + TitleAndAuthorString + extension

Putting it All Together

def main():
    inputPath = os.environ["BOOKSORT_INPUT_PATH"] or "/Users/bvia/Development/Personal/booksort/issues"
    outputPath = os.environ["BOOKSORT_OUTPUT_PATH"] or "/Users/bvia/Development/Personal/booksort/outputs"
    issuesPath = os.environ["BOOKSORT_ISSUES_PATH"] or "/Users/bvia/Development/Personal/booksort/issues"
    sort_books(inputPath, outputPath, issuesPath)

Give it a whirl with a call to main() at the end of the file and you’re off.

This script isn’t perfect, sometimes the rename fails to write to the specified path for reason I can’t figure out, but it’s helped save me many hours of manual organization, and isn’t that one of our favorite parts of programming after all?

Thanks!

Thanks for reading. Hope this maybe made Python more accessible if you haven’t used it before, or you learned a new use case for it. Once again the full file is here: https://github.com/BrianVia/booksort/blob/main/book-sort.py

If you want to check out my self hosted blog for more it’s here.

You can follow me on Twitter and GitHub as well!

Hello, World

Wed, 24 Aug 2022 16:08:00 GMT

I’m not really a writer

But maybe I’ll get better at it — CHATGPT

So honestly, I’m not a big writer. I don’t have coherent, well thought out opinions on all things software just flowing out of my brain at all times. And moreover, having a 1 and a half year old at home, along with plenty of other hobbies, finding time to write often isn’t high on my priority list.

My opinions are mostly recycled and regurgitated from other devs much smarter than me; folks like Sarah Drasner, Shawn (@Swyx) Wang , Chris Coyier, the list goes on and on.

🧠 But what I do think in is memes or TV/movie references - often times ones from SpongeBob SquarePants S01-S04. Or sarcasm. Sometimes both.

But behind every joke or meme is a little nugget of truth. Maybe it’s a legitimate grievance with some piece of software or tooling. Maybe it’s a shortcoming of my own that I need to lean into in order to grow.

But regardless, there’s probably something more I could expand on, such as why this thing might be painful, or I attempted to solve this and here’s what I learned__, or maybe in rare cases, something I feel I have some expertise to share with the world, and I can use this as a vehicle for organizing that information in my head.

Trying to be authentic in today’s content environment

As I said, my brain works in jokes or media references. Constantly. Probably to a fault when I share these in my work slack and people probably just react with a 😐

But since I don’t want to be following the whole recycled twitter content grift that Is all too prevalent, this feels like the best way to write about topics I can speak to while not just shilling for engagement.

See below for an example:

Exporting all of my thoughts

With that said, I’m halfway excited as I’ve been writing this to feel like I have some ways to outlet the rumblings of my brain into something more structured. And maybe even build some things I probably wouldn’t have done otherwise.

I’d you’ve read this far, cheers and hopefully you enjoy some of the upcoming work! See you in the next one 🍻

https://file.notion.so/f/f/a906313e-59ee-454b-b2b6-e1c8b271da3b/556044f5-f03c-41f1-83c2-2f3e3c379c94/Untitled.png?table=block&id=7bcebc51-1941-4290-8313-1c49e44cc63f&spaceId=a906313e-59ee-454b-b2b6-e1c8b271da3b&expirationTimestamp=1736380800000&signature=1J7CgqtdD6LD9iS02GWvfsCoCsVTA34hcb68jO21Im8&downloadName=Untitled.png