Computer Scienceの学位を取るために学費無料のオンライン大学UoPeopleに入ってもうすぐ1年 - えんぴつぶろぐ
この記事は社会人学生 Advent Calendar 2020 7日目の記事です。 米国のオンライン大学University of the People（以下、UoPeople）に入って約1年経った振り返り記事となります。 これまでのUoPeople関連の記事はこちら 自分について University of the Peopleとは 動機 入学するには 授業について 卒業までの所要期間 Computer Science専攻はどんなコースが受けられるのか これまでの進捗 これまでにかかった金額 課題がめっちゃ出る どうやって勉強時間を確保しているか よかったところ 学習内容への満足度は高い 英語のライティングスキルは多分あがった 日英両方でインプットするメリット 毎日強制的にアウトプットできる。 GPAのためなら頑張れる よくなかったところ National Accreditationなの
はじめにこの記事は、放送大学の（主に情報コースを中心とする）学生さん向けに、私の履修済み科目の感想と主観的評価を共有して、履修計画の参考にしていただくことを目的に作成しました。下記の記事の通り、2019年-2020年の2年間で情報コースの科目を8割方履修したのでそれなりの網羅性があるかと思います。 （2023年2月追記）その後、選科履修生として履修した他コースの科目や大学院科目などを追加して112科目掲載しています。試験難易度については履修時期によって会場試験・在宅ペーパー試験・在宅Web試験が混在しているので参考程度でお願いします。 タイトルは私が現役生の時に通っていた大学の似たような評価システムから拝借しました。 以下の科目は基本的にナンバリングが低い順に並べています。閉講済みの科目も混じっていますが、記録と後継科目の参考のために残しておきます。あくまで全て（上記の記事にある通り、文系
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,
OpenAIのBatch APIを使ってお得にプロンプトを一括処理してみる - Taste of Tech Topics
はじめに こんにちは。データサイエンスチームYAMALEXのSsk1029Takashiです。 最近はOpenAIに日本支社が出来て、日本語対応が加速するというニュースにわくわくしています。 今回はそんなOpenAIから発表されたBatch APIという機能が便利、かつお得な機能だったのでどのように使えるのか試してみます。 Introducing the Batch API: save costs and get higher rate limits on async tasks (such as summarization, translation, and image classification). Just upload a file of bulk requests, receive results within 24 hours, and get 50% off API pri
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
I left OpenAI three weeks ago. I had joined the company back in May 2024. I wanted to share my reflections because there's a lot of smoke and noise around what OpenAI is doing, but not a lot of first-hand accounts of what the culture of working there actually feels like. Nabeel Qureshi has an amazing post called Reflections on Palantir, where he ruminates on what made Palantir special. I wanted 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
Mojo may be the biggest programming language advance in decades – fast.ai
I remember the first time I used the v1.0 of Visual Basic. Back then, it was a program for DOS. Before it, writing programs was extremely complex and I’d never managed to make much progress beyond the most basic toy applications. But with VB, I drew a button on the screen, typed in a single line of code that I wanted to run when that button was clicked, and I had a complete application I could now
In an interview with Evrone, Ryan Dahl speaks about the main challenges in Deno, the future of JavaScript and TypeScript, and tells how he would have changed his approach to Node.js if he could travel back in time. We met with Ryan Dahl, the creator of Node.js, to discuss the origins of the platform, its impact on JavaScript, and his thoughts on its future. In the interview he also reflected on hi
Python open source libraries for scaling time series forecasting solutions
By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley. In the first and second articles in this series, I showed how to perform feature engineering on time series data with Python and how to automate the Machine Learning lifecycle for time series forecasting. In this third and concluding article,
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
Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro
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
I first learned Kubernetes ("k8s" for short) in 2018, when my manager sat me down and said "Cloudflare is migrating to Kubernetes, and you're handling our team's migration." This was slightly terrifying to me, because I was a good programmer and a mediocre engineer. I knew how to write code, but I didn't know how to deploy it, or monitor it in production. My computer science degree had taught me a
Beyond the 70%: Maximizing the human 30% of AI-assisted coding
This is a follow-up to my article “The 70% problem: Hard truths about AI-assisted coding” AI coding assistants like Cursor, Cline, Copilot and WindSurf have transformed how software is built, shouldering much of the grunt work and boilerplate. Yet, as experienced developers and industry leaders note, there remains a crucial portion of software engineering that AI does not handle well – roughly tha
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
文系学部卒でも無条件で不合格にならないアメリカのオンラインコンピューターサイエンス修士コースを調べ、出願校を決めた｜Toshinori Sugita
出願校最初の出願校は、ジョージア工科大学のOMSCSになりそうだ。履修できる授業の種類、オンラインコースの懐の深さ（合格率の高さ）（、費用）が主な理由だ。 前回の記事を書いた時点では、ペンシルバニア大学のMCITがベストではないかと考えていた。 しかし、他の選択肢を十分検討していなかったので、候補になり得るコースをリストアップして比較した。特に気にしたのは、つぎの点だ。 ・文系学士が無条件でNGにならない ・CS推奨であっても、テストやMOOCs受講、業務経験などでなんとかなる ・アメリカ（最初の候補として。イギリスやオーストラリアがダメというわけでは全然ないが、英語で学ぶことを前提としたい） ・授業（基礎、分散システム、その他機械学習、データサイエンスなど共通理解になり得るものが選択できる） ・出願要件の具体的な数字（英語テスト、書類、出願期限） ・合格率（オンラインはオンキャンパスと比
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
The Andrej Karpathy episode. Andrej explains why reinforcement learning is terrible (but everything else is much worse), why model collapse prevents LLMs from learning the way humans do, why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education. Watch on YouTube; listen on Apple Podcasts or Spotify
Deep Research再現実装をDeep Research以上に詳しく検証してみた - AKARI Tech Blog
はじめに こんばんは！ 今週のAKARI Tech Blogは、DX Solution 事業本部 Dev の許が担当いたします。 先日OpenAIが「Deep Research」を公開し、その驚異的な文献調査能力が話題となりましたね！ 皆様使っていますでしょうか。 これまでひいこら言いながらインターネット検索していた時代と比べると、「Deep Research お願いします！」で、それなりの分析レポートが出てくることに隔世の感を感じますね。 これだけ性能の良いものが出てきた以上、仕組みが気になるところ。できることなら、自分たちでも再現実装してみたい！ しかし例によってOpenAIは実装をオープンにはしてくれない……。 そこで登場するのが、Deep ResearchのOSS再現プロジェクトたち！ まずは Deep ResearchにOpenな再現実装について聞いてみましょうか。 ChatGP
In "Software Engineering - The Soft Parts" Addy Osmani shares lessons from his first 10 years at Google on the "soft skills" that can help engineers become effective and scale their effectiveness. This guidance should help junior, mid-career and even senior developers move forward, deal with changing technology, and navigate building non-trivial systems. Today I'll share some of the software engin
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
Fantastic Learning Resources Aug 6, 2023 People sometimes ask me: “Alex, how do I learn X?”. This article is a compilation of advice I usually give. This is “things that worked for me” rather than “the most awesome things on earth”. I do consider every item on the list to be fantastic though, and I am forever grateful to people putting these resources together. Learning to Code I don’t think I hav
Manuel Cerón
Last year I finally decided to learn some Rust. The official book by Steve Klabnik and Carol Nichols is excellent, but even after reading it and working on some small code exercises, I felt that I needed more to really understand the language. I wanted to work on a small project to get some hands-on experience, but most of my ideas didn’t feel very well suited for Rust. Then I started reading the
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
Obtain, Scrub, Explore, and Model Data with Unix Power Tools Welcome to the website of the second edition of Data Science at the Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. This website is free to use. The contents is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. You can order a physical copy at Amazon. If y
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
This article is a translation, the original version is available here. I started using the OCaml language regularly around 2012, and since then, my interest and enthusiasm for this language have only grown. It has become my preferred choice for almost all my personal projects, and it has also influenced my professional choices. Since 2014, I have been actively participating in public conferences d
Preparing Yourself for OMSCS | Online Master of Science in Computer Science (OMSCS)
Preferred qualifications for admitted OMSCS students are an undergraduate degree in computer science or related field (typically mathematics, computer engineering or electrical engineering) with a cumulative GPA of 3.0 or higher. Applicants who do not meet these criteria will be evaluated on a case-by-case basis. In these cases, the Admissions Committee is looking for a demonstrated, objectively d
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
Recently, Shopify’s CEO Tobi Lütke shared his thoughts on AI’s role in coding, stating that “reflexive AI usage is now a baseline expectation at Shopify.” The gist of his message was that AI is revolutionizing how we work, and everybody should jump on board this train or risk being left behind. I’m paraphrasing a bit, but not much – check out the post for complete context and content. This struck
Database Fundamentals
About a year ago, I tried thinking which database I should choose for my next project, and came to the realization that I don't really know the differences of databases enough. I went to different database websites and saw mostly marketing and words I don't understand. This is when I decided to read the excellent books Database Internals by Alex Petrov and Designing Data-Intensive Applications by
Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics Michael Armbrust1, Ali Ghodsi1,2, Reynold Xin1, Matei Zaharia1,3 1Databricks, 2UC Berkeley, 3Stanford University Abstract This paper argues that the data warehouse architecture as we know it today will wither in the coming years and be replaced by a new architectural pattern, the Lakehouse, which will
Large Text Compression Benchmark Matt Mahoney Last update: July 3, 2025. history This competition ranks lossless data compression programs by the compressed size (including the size of the decompression program) of the first 109 bytes of the XML text dump of the English version of Wikipedia on Mar. 3, 2006. About the test data. The goal of this benchmark is not to find the best overall compressi
From Common Lisp to Julia
This post explains my reasoning for migrating from Common Lisp to Julia as my primary programming language, after a few people have asked me to elaborate. This article is the product of my experiences and opinions, and may not reflect your own. Both languages are very well designed, and work well, so I encourage you to do your own research and form your own opinions about which programming languag
This post is based on my RustNationUK ‘24 talk with the same title. The talk video is on youtube, the slides are served from here. Also, here’s the lyrics of the song I introduced the talk with (sung to the tune of Bob Dylan’s “The times, they are a-changin’”): Come gather Rustaceans wherever you roam and admit that our numbers have steadily grown. The community’s awesomeness ain’t set in stone, s
Expert Generalists
As computer systems get more sophisticated we've seen a growing trend to value deep specialists. But we've found that our most effective colleagues have a skill in spanning many specialties. We are thus starting to explicitly recognize this as a first-class skill of “Expert Generalist”. We can identify the key characteristics of people with this skill - and thus recruit and promote based on it. We
エンジニア転職して一年経つので自宅学習で使った技術書&Udemyをジャンル別に評価してみた - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? はじめに 2021年7月でエンジニアになって1年経ちました。 エンジニア転職直後に年収が300万くらい下がり、爆速で市場価値をあげなければ！！というモチベーションで一年間いろいろ勉強してきました。 これまでその内容を振りかえることもなかったので、この機会に自宅学習で使った技術書とUdemyをまとめてみることにしました。 参考資料選びに悩んでいる方の助けになれば幸いです。 ちなみに、転職して半年間は学習の成果も市場価値の向上も全く感じられなかったのですが、最近になってようやくそれらを感じられるような出来事が増えてきています。 Wanted
Press ← or → to navigate between chapters Press S or / to search in the book Press ? to show this help Press Esc to hide this help The PyO3 user guide Welcome to the PyO3 user guide! This book is a companion to PyO3's API docs. It contains examples and documentation to explain all of PyO3's use cases in detail. The rough order of material in this user guide is as follows: Getting started Wrapping
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
放送大学マイルストーン('23)｜lumpsucker
Reflections on OpenAI
The End of Programming – Communications of the ACM
Interview with Ryan Dahl, Node.js & Deno creator by Evrone
Kalyn: a self-hosting compiler for x86-64
Rust: A Critical Retrospective « bunnie's blog
Solving common problems with Kubernetes
Manus tools and prompts
Andrej Karpathy — AGI is still a decade away
Software Engineering - The Soft Parts
Digital, digital and digital
Fantastic Learning Resources
Hacker News folk wisdom on visual programming
Welcome | Data Science at the Command Line, 2e
xvw.lol - Why I chose OCaml as my primary language
Why We Use Julia, 10 Years Later
Coding as Craft: Going Back to the Old Gym
What's New in Emacs 28.1?
Large Text Compression Benchmark
Easy Mode Rust — Llogiq on stuff
Introduction - PyO3 user guide