This is The Entire Computer Science Curriculum in 1000 YouTube Videos
This is The Entire Computer Science Curriculum in 1000 YouTube Videos In this article, we are going to create an entire Computer Science curriculum using only YouTube videos. The Computer Science curriculum is going to cover every skill essential for a Computer Science Engineer that has expertise in Artificial Intelligence and its subfields, like: Machine Learning, Deep Learning, Computer Vision,
00:00 - Introduction 01:45 - The Battleship 02:49 - NP-Complete Problems 06:24 - Building SQLite V1 07:54 - Motorola Phones 09:40 - America Online Phones 11:12 - Symbian OS and Nokia 13:01 - The Bus Factor and the Consortium 15:11 - Enter Android 17:05 - Guys, This Is Important 18:18 - Testing and Aviation Standards 21:29 - Billions of Tests 25:30 - Building From First Principles 28:05 - B-Trees a
GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in
An Interview With Linus Torvalds: Linux and Git - Part 1 30 Years Of Linux
Jeremy founded Tag1 Consulting in 2007. He has been a contributing core Drupal developer since 2002, and helped establish Drupal as a successful CMS through the early popularity of his personal blog, KernelTrap.org. Over the years, he authored and maintained the core statistics module and throttle module, as well as the pager logic and the initial Drupal 5 installer. He continues to contribute to
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems View the Project on GitHub View On GitHub An updated and organized reading list for illustrating the patterns of scalable, reliable, and performant large-scale systems. Concepts are explained in the articles of prominent engineers and credible references. Case studies are taken from battle-tested systems that serve millions to
The end of classical computer science is coming, and most of us are dinosaurs waiting for the meteor to hit. I came of age in the 1980s, programming personal computers such as the Commodore VIC-20 and Apple ][e at home. Going on to study computer science (CS) in college and ultimately getting a Ph.D. at Berkeley, the bulk of my professional training was rooted in what I will call “classical” CS: p
With pen and paper, anyone can write a journal entry, draw a diagram, perform a calculation, or sketch a cartoon. Digital tablets like the iPad or reMarkable can adapt pen and paper into the world of digital media. In doing so, they trade away some of paper’s advantages like cheapness and tangibility. In exchange, we get new computational powers like nondestructive editing and ease of transmission
The Development of the C Language* Dennis M. Ritchie Bell Labs/Lucent Technologies Murray Hill, NJ 07974 USA dmr@bell-labs.com ABSTRACT The C programming language was devised in the early 1970s as a system implementation language for the nascent Unix operating system. Derived from the typeless language BCPL, it evolved a type structure; created on a tiny machine as a tool to improve a meager progr
Machine Learning Trends You Need to Know - Gradient Flow
Insights and trends that will help you navigate the AI landscape. By Assaf Araki and Ben Lorica. Automation and democratization are on the rise AutoML tools are designed to automate the process of training and deploying machine learning. Such tools have progressed to the point where they can produce adequate models for many use cases. Moreover, in domains where model hubs and foundation models (e.
What We Learned from a Year of Building with LLMs (Part I)
It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. The pace of improvements in LLMs, coupled with a parade of demos on social media, will fuel an estimated $200B investment in AI by 2025. LLMs are also broadly accessible, allowing everyone, not just ML engineers and scientists, to build intelligence into
There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper
This is an upcoming high performance computing book titled “Algorithms for Modern Hardware” by Sergey Slotin. Its intended audience is everyone from performance engineers and practical algorithm researchers to undergraduate computer science students who have just finished an advanced algorithms course and want to learn more practical ways to speed up a program than by going from O(nlogn)O(n \log
TL;DR; We are changing std::sort in LLVM’s libcxx. That’s a long story of what it took us to get there and all possible consequences, bugs you might encounter with examples from open source. We provide some benchmarks, perspective, why we did this in the first place and what it cost us with exciting ideas from Hyrum’s Law to reinforcement learning. All changes went into open source and thus I can
This is a card game for teaching kids how to combine unix commands through pipes. This game assumes the parent knows the basic unix commands: cat, grep, tail, head, wc, sort, uniq. The parent should show also show those commands in action the computer as well, if you do not have any UNIX system you can use jslinux in your browser. Buy now: €5,00 EUR print it yourself: unix-pipe-cards.pdf, unix-pip
Internet Engineering Task Force (IETF) K. Davis Request for Comments: 9562 Cisco Systems Obsoletes: 4122 B. Peabody Category: Standards Track Uncloud ISSN: 2070-1721 P. Leach University of Washington May 2024 Universally Unique IDentifiers (UUIDs) Abstract This specification defines UUIDs (Universally Unique IDentifiers) -- also known as GUIDs (Globally Unique IDentifiers) -- and a Uniform Resou
Golang Mini Reference 2022: A Quick Guide to the Modern Go Programming Language (REVIEW COPY)
Golang Mini Reference 2022 A Quick Guide to the Modern Go Programming Language (REVIEW COPY) Harry Yoon Version 0.9.0, 2022-08-24 REVIEW COPY This is review copy, not to be shared or distributed to others. Please forward any feedback or comments to the author. • feedback@codingbookspress.com The book is tentatively scheduled to be published on September 14th, 2022. We hope that when the release da
CRDTs go brrr
5000x faster CRDTs: An Adventure in Optimization July 31 2021 A few years ago I was really bothered by an academic paper. Some researchers in France put together a comparison showing lots of ways you could implement realtime collaborative editing (like Google Docs). They implemented lots of algorithms - CRDTs and OT algorithms and stuff. And they benchmarked them all to see how they perform. (Cool
Regexide
Why XML Comments matter XML is a popular format for storing and sharing data. It was explicitly designed for people and programs to read and write data.[1] From spreadsheets to save states, most modern software and games parse and write XML. XML comments are special notes that parsers should not treat as data. XML comments start with <!-- and end with -->. Technically XML comments must not contain
Since I was unable to travel for a couple of years during the pandemic, I decided to take my new-found time and really lean into Rust. After writing over 100k lines of Rust code, I think I am starting to get a feel for the language and like every cranky engineer I have developed opinions and because this is the Internet I’m going to share them. The reason I learned Rust was to flesh out parts of t
See the discussion of this post on Hacker News. My wife and I decided to make an 8-bit, top-down, Zelda-like game written for the PPU466 (from CMU 15-466 Computer Game Programming course). The PPU466 is a graphics API kind of like the PICO-8 fantasy console, in the sense that it’s restricted to 8-bit graphics, 4 colors per tile, fixed backgrounds, and a low number of sprites. As a part of the game
I’ve become convinced that “little languages”—small languages designed to solve very specific problems—are the future of programming, particularly after reading Gabriella Gonzalez’s The end of history for programming and watching Alan Kay’s Programming and Scaling talk. You should go check them out because they’re both excellent, but if you stick around I’ll explain just what I mean by “little lan
Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b
research!rsc: Hardware Memory Models (Memory Models, Part 1)
Introduction: A Fairy Tale, Ending A long time ago, when everyone wrote single-threaded programs, one of the most effective ways to make a program run faster was to sit back and do nothing. Optimizations in the next generation of hardware and the next generation of compilers would make the program run exactly as before, just faster. During this fairy-tale period, there was an easy test for whether
agent loop �� �p�� You are Manus, an AI agent created by the Manus team. You excel at the following tasks: 1. Information gathering, fact-checking, and documentation 2. Data processing, analysis, and visualization 3. Writing multi-chapter articles and in-depth research reports 4. Creating websites, applications, and tools 5. Using programming to solve various problems beyond development 6. Variou
A Lisp Interpreter Implemented in Conway’s Game of Life
Lisp in Life is a Lisp interpreter implemented in Conway’s Game of Life. The entire pattern is viewable on the browser here. To the best of my knowledge, this is the first time a high-level programming language was interpreted in Conway’s Game of Life. Running Lisp on the Game of Life Lisp is a language with a simple and elegant design, having an extensive ability to express sophisticated ideas as
Happy New Year: GPT in 500 lines of SQL - EXPLAIN EXTENDED
Translations: Russian This year, the talk of the town was AI and how it can do everything for you. I like it when someone or something does everything for me. To this end, I decided to ask ChatGPT to write my New Year's post: "Hey ChatGPT. Can you implement a large language model in SQL?" "No, SQL is not suitable for implementing large language models. SQL is a language for managing and querying d
Annotated history of modern AI and deep neural networks
For a while, DanNet enjoyed a monopoly. From 2011 to 2012 it won every contest it entered, winning four of them in a row (15 May 2011, 6 Aug 2011, 1 Mar 2012, 10 Sep 2012).[GPUCNN5] In particular, at IJCNN 2011 in Silicon Valley, DanNet blew away the competition and achieved the first superhuman visual pattern recognition[DAN1] in an international contest. DanNet was also the first deep CNN to win
This year’s Advent of Code has been brutal (compare the stats of 2023 with that of 2022, especially day 1 part 1 vs. day 1 part 2). It included a problem to solve with dynamic programming as soon as day 12, which discouraged some people I know. This specific problem was particularly gnarly for Advent of Code, with multiple special cases to take into account, making it basically intractable if you
戦略ファーム時代に読んだ700冊程度の本をまとめています*随時更新 戦略ファーム時代に読んだ700冊程度の本をまとめています I. 戦略 企業参謀 https://amzn.to/44iKVxM 当初、いまいち戦略というものが掴めきれず迷子になっていた時に「大前研一はこれだけ読め」と教わった本。大量に出ている他の大前本を読まなくて済むのが見過ごせない大きな価値 戦略サファリ 第2版 https://amzn.to/3csZg0t 経営戦略の本を読み漁るも、実プロジェクトの方が全くもって学びになるという普通の感想をもち、俯瞰での戦略論を求めるようになる。いやあ懐かしい 企業戦略論【上】基本編 競争優位の構築と持続 Jay Barney https://amzn.to/3dJjVxB 任天堂の戦略の妙に気が付きはじめ、ベースか似通ったものはないだろうかと思うようになった時にJay Barney
The Junior Developer Extinction: We’re All Building the Next Programming Dark Age
“I have not failed. I’ve just found 10,000 ways that won’t work.” — Thomas Edison Though to be fair, Edison never had to explain to his manager why the AI-generated light bulb stopped working, and nobody on the team understood the filament design. Picture this scene, familiar to anyone who’s conducted code reviews in the past year: A junior developer presents their pull request with the quiet conf
I’m a fairly frequent Hacker News lurker, especially when I have some other important task that I’m avoiding. I normally head to the Active page (lots of comments, good for procrastination) and pick a nice long discussion thread to browse. So over time I’ve ended up with a good sense of what topics come up a lot. “The Bay Area is too expensive.” “There are too many JavaScript frameworks.” “Bootcam
How Machine Learning Uses Linear Algebra to Solve Data Problems
Machines or computers only understand numbers. And these numbers need to be represented and processed in a way that lets machines solve problems by learning from the data instead of learning from predefined instructions (as in the case of programming). All types of programming use mathematics at some level. Machine learning involves programming data to learn the function that best describes the da
What We’ve Learned From A Year of Building with LLMs – Applied LLMs
A practical guide to building successful LLM products, covering the tactical, operational, and strategic. It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. And they’re getting better and cheaper every year. Coupled with a parade of demos on social media, there will be an estimated $200B investment in AI
prompts.chat
Welcome to the “Awesome ChatGPT Prompts” repository! While this collection was originally created for ChatGPT, these prompts work great with other AI models like Claude, Gemini, Hugging Face Chat, Llama, Mistral, and more. ChatGPT is a web interface created by OpenAI that provides access to their GPT (Generative Pre-trained Transformer) language models. The underlying models, like GPT-4o and GPT-o
One of the key benefits of open-source software is that anyone can read the source code and inspect what it does. And yet most software, even open-source software, is downloaded in the form of compiled binaries, which are much more difficult to inspect. If an attacker wanted to run a supply chain attack on an open-source project, the least visible way would be to replace the binaries being served
Local-first software: You own your data, in spite of the cloud
Cloud apps like Google Docs and Trello are popular because they enable real-time collaboration with colleagues, and they make it easy for us to access our work from all of our devices. However, by centralizing data storage on servers, cloud apps also take away ownership and agency from users. If a service shuts down, the software stops functioning, and data created with that software is lost. In t
The 7 Most Influential Papers in Computer Science History
Before we begin, let me be clear: yes, this is a subjective list. It’s not meant to end the debate — but to start it. These seven papers (sorted by date) stand out to me mostly because of their impact in today’s world. Honestly, each one deserves a blog post (or even a book!) of its own — but let’s keep it short for now. If your favorite doesn’t show up here, don’t worry, stick around for the bonu
Welcome …# Welcome to the Physics-based Deep Learning Book (v0.2) 👋 TL;DR: This document contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations. As much as possible, all topics come with hands-on code examples in the form of Jupyter notebooks to quickly get started. Beyond standard supervised learning from data, we’ll look
Reading the excellent article by JeanHeyd Meneide on how broken string encoding in C/C++ is made me realise that Unicode is a topic that is often overlooked by a large number of developers. In my experience, there’s a lot of confusion and wrong expectations on what Unicode is, and what best practices to follow when dealing with strings that may contain characters outside of the ASCII range. This a
Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me
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The Untold Story of SQLite - CoRecursive Podcast
The End of Programming – Communications of the ACM
Inkbase: Programmable Ink
The Development of the C Language
100+ Best GitHub Repositories For Machine Learning
Algorithms for Modern Hardware - Algorithmica
Changing std::sort at Google’s Scale and Beyond
The UNIX Pipe Card Game
RFC 9562: Universally Unique IDentifiers (UUIDs)
Rust: A Critical Retrospective « bunnie's blog
A* Tricks for Videogame Path Finding | Tim Mastny
Little Languages Are The Future Of Programming
Manus tools and prompts
Dynamic Programming is not Black Magic - Quentin Santos
Digital, digital and digital
Hacker News folk wisdom on visual programming
Perfectly Reproducible, Verified Go Toolchains - The Go Programming Language
Welcome … — Physics-based Deep Learning
Unicode is harder than you think · mcilloni's blog
Why We Use Julia, 10 Years Later