常用資源

Python & JS 的基礎語法題目以及教學，每個基礎概念都有影片和文字講解，很適合初學者學習。這也是我剛開始學習 Python 所使用的網站～

作為 機器學習 與 資料探勘 的工程師，不可能不知道的網站之一！對於 Python, ML, DL 都有詳盡的教學，也有實作，其上有雲端環境可直接在遠端主機上運行，不用吃到本機的資源。另外有很多競賽，像是數據預測、辨識等等，附有獎金與面試等機會。

有各種程式語言、數據分析套件和資料庫等教學，先是基礎概念講解，而後有填空、互動練習。

CTF (Capture The Flag) 奪旗賽，又稱資安攻防賽。該網站係美國提供給高中生練習 CTF 的網站，以 RPG 方式進行，非常容易上手，值得一試！

由 台大教授 Wush Wu 所建置的網站，其目的在於能夠在 R 語言的編譯器中同時使用教學系統，學習與實作都在本機上進行。個人以往上課時有使用過，難度由淺入深，很適合學習。

主題式的 線上評測系統 (Online Judge)，包含演算法、資料結構、人工智慧和不同語言，個人感想是蠻像 Leetcode 的，亦可以爭取排名。

平台上有很多款不同的遊戲，每個遊戲係由程式所控制，你會控制你的角色和其他玩家對決，其中有不同階段，木頭3, 2, 1, 銅牌, 銀牌, 金牌和傳說七種階段，成為該階段的第一名並打敗 Boss 後才可升到下一階段。每季還有特別的遊戲，非常好玩，可以嘗試看看用程式玩遊戲的學習方式～

以實務的方式學習 Node.js，按照文章學習與實作後，便能建立一個可實際應用的網站，是一個很詳盡概念很清晰的網站，非常推薦！

師大資工的學長姊撰寫的，講解各式各樣的演算法與資料結構，內容蠻清楚好懂的，可以來這裡喚醒你過往的記憶～

師大資工紀博文老師的教學網站，課程包括 C、資訊安全和軟體工程等等，課程教材都是公開的，包括了講義、教學影片和考卷，很適合想扎實建立程式設計基礎的初學者。

按進度與主題編排長達 100 天的筆記，除了詳細筆記外也有實作的程式檔～

提供許多免費且完整的課程，每一系列皆為 300 小時，包括了資料分析、資訊安全、機器學習和網頁應用等等，完成課程後還可拿到證書～

大神的 Online Judge 解題部落格，會分析題目，講解如何破題～

大神的部落格，發表 CS 相關的網站，包括了解題、網頁設計和工作應用等等，很值得一逛。

文章都很優質！很多軟體業職涯上的建議與思考的文章、技術文章，講述概念時淺顯易懂，看他的文章真的是種享受，很推薦！

中正資工教授 吳邦一 針對 APCS 寫的書籍，預設給實作三級以上的學生強化概念使用，不過書籍撰寫由淺入深，還包括了 APCS 題目詳解，蠻適合新手觀看的～

這是一份由善心人士彙整的筆記，是有關程式設計競賽相關的學習資源彙整～

以臺灣高中生視角彙整的有關資訊培訓相關的學習資源～

臺大資工系固定會辦「資訊之芽」的營隊，講授演算法與程式設計，其會公開所有授課教材，內容淺顯易懂很適合初學演算法的人觀看～

程式相關的學習資源彙整，包括了影片、課程網站等等。

人稱「官神」按照類別、難度標記的 Leetcode 題目們

網站主要是以「軟體工程師」求職的演算法試題為主，但卻是很有效的建立演算法觀念的步驟與練習 :P

預測你參與 Leetcode Contest 後預計的 elo 分數為何，通常蠻準的，體感認為他是以較「悲觀」的角度去預估的

幫你排 Leetcode 寫題計畫的網站

這篇文章蠻推的，作者是名學霸，也擔任區塊鏈共同創辦人，這篇文章說明了以他的視角而言，「為什麼學習程式？」、「為什麼喜歡？」以及「如何學習」，對於程式這塊領域感到迷茫的同學，不妨看看，也許能讓你看清自己的迷茫。當時看完後我的感觸也蠻深的。

這網站你可以輸入你想閱讀的論文，接著他會利用知識圖譜等等的技巧去找出最佳閱讀路線，每篇論文可能都需要具備某些基礎知識才能了解，而他能夠透過引用論文資料的相互關係，進而推測最佳的閱讀路線，這工具很不錯用！

能用 LaTeX 共編的平台，拯救了我無數課程的書面報告！

Markdown 語法教學，以概念輔以實際操作的方式學習，是我認為能最快學會 MD 的網站。

除 Markdown 外，也有 Git 的教學，我認為比較偏向重點條列式的方式，比較適合學過一段時間，但忘記想恢復記憶的人類。

貫徹使用 Markdown 目前用起來最順暢的線上共編平台，由台灣人開發的，總之非常之推薦，從大學到現在同學全部都在用啊～

這是 Git 可視化的工具，將 git 相關檔案丟入後，會將 Commit 狀況視覺化，還蠻不錯的，也有提供編輯器。過度使用的話可能要付費購買～

這是 IT 邦幫忙 鐵人賽 30 天系列的文章，概念清晰且寫的好懂，同時是平台上的熱門文章，無論是學習還是學過想強化概念，我都覺得這系列文章很值得一看。

由 Google 設計的一系列 Android 開發課程

Unity 本身就是做遊戲的引擎，也因此這網站上有很多熱心的人以「目標」導向，你能夠選擇想做的主題、類型，去選出一個 Tutorial，還會幫你安排時程學習關鍵概念，當你學習完後，就能夠完成一款遊戲。

這是我們系上一位老師最愛用的網站，原因是我們可以在這網站上選取不同平台的題目，還能自己建立比賽、建立題目清單去練習與模擬正式比賽。唯一的缺點是平台有時會炸掉，主因也是因為使用者人數不少啦～

求職時的傳統是：「你刷過 LC 嗎？」LeetCode 上很多面試時經典的白板題，求職前可以來這邊攢蹙累積一下，或許面試時剛好就會問出來了！！

類似 LeetCode 的網站，身為大佬的你刷完 LeetCode 也可以來這邊練個手感～

學生自發性發起的 OJ，且又是少見的中文資源，題目也適合初學者～

同為少見的 中文 OJ，非常多基本題，但要難題也不少。很多初學者都會先來這邊練習～

俄羅斯的 OJ，系統蠻穩定的、介面也很乾淨。有比賽以及排名系統，想練習比賽可以來這邊～

很有名的題目網站，大學生程式能力檢定 (CPE) 就是以該網站的題目為題庫抽選的，網站最大的缺點就是系統遲緩，較建議去 Virtual Judge 練習 Uva 的題目可能比較省事。

如果你選擇 Uva 的題目練習，你一定很喜歡這網站。他翻譯了許多 Uva 的題目～

身為半出社會人士的我，之後很喜歡的比賽。它是由 Google 舉辦的，有好幾階段的比賽，重點是題目的品質非常好，如果你對程式已經有一定程度的自信，我會很建議來這邊試試。

很詳盡的 Vim 教學文章，文章名為「精通 vim，此文就夠了」，不過其實你還有 Plugin 和其他的內容需要研究探討XD

我個人很喜歡的教學，講的清楚且逗趣，教的也很精華能學會實際上最慣用的技巧，推推！

這是一款使你能用 Vim 的方式控制瀏覽器的工具。目前 cvim 已經壞掉了，而因不錯用，後續有人 fork 出 "vb4c" 持續維護～

• 影片著重在 最新 的 LLM 發展，講的超淺顯易懂。而且作業精心設計，像是 Hw2，我記得是讓你寫一個 LLM Agents，他能夠依照你給定的機器學習任務敘述、資料集等等，不斷自我修正產生能應用於你給定的機器學習任務的程式碼，這幾乎是可以當一個 side project 等級了，還有很多很多，可以在這邊挖寶！

非常用心且厲害的投影片，助教本身實力也超群，說是「厲害的學者」也不爲過，錄影可參考 2023 機器學習 的網站 :)

李老師是在語音領域的大師，講課清楚且有智慧，課程作業也蠻有趣的，如：發音分類、中文數字發音分類、注音句子糾正 (e.g. ㄓ教作業ㄏ難 --> 助教作業好難)，是入門語音相當好的課程。

史丹佛大學的公開課程，課程紮實甚至許多公司作為面試的考題。

臺大教授 aka 寶可夢大師，授課淺顯易懂，以較為實用生活的角度教課，課程一直都很熱門，修課人數屢屢突破臺大選課系統的限制。

老師專長是和自然語言處理 (NLP) 相關，因此授課會以 NLP 相關的 DL 為中心講述，包括作業 (意圖分類、問答檢索和文章摘要) 也都以 NLP 為主。

由趨勢科技主辦的 人工智慧相關競賽，在這舉辦的比賽大多都有獎金、獎狀，從自然語言處理、語音到影像不同領域都有。

由工業技術研究院負責的競賽網站，有很多人工智慧相關的主題可以嘗試，題目比 TBrain 多很多，但不一定會有獎金，蠻適合當作練功坊的！

行列輸入法學習網站，學習、查碼和打字練習都有，行列輸入法一直以來資源都很少，這是近年來熱心人士所撰寫的網站，若不想記部首位置，又想學一種拆字系統的輸入法還蠻推薦的。

線上平台提供 ubuntu shell 介面操作，因此可用來寫程式，還可連結到 github，是我過去的愛用平台～

由中正資工所學生開發的「論文」利器，按照你查詢的論文，會幫你由淺入深推薦建議的論文閱讀順序，有關介紹可詳見作者的說明文

疫情世代下討論的利器！線上共用白板，很像 Jamboard，但好用很多XD

提供影片各種處理功能的平台，無論操作還是流暢度都很不錯。

作者高見龍架設的網站，除了觀念教學外，也有練習場可以實際操作練習。

強者的 Medium，多半是分享區塊鏈的內容，但也有像 GRE 329 這類的準備歷程。

同為神人的 Medium，個人很喜歡他的文筆，在教學以及心路歷程上都寫得很詳盡清楚，作者品質一直都很好，很喜歡看他的文章。(github)

一位數學系學生將 LaTeX 與 Vim 用到極致，能同步上課做筆記，兼顧速度與精美。這篇文章記載了他如何配置 Vim 以達到「神的境界」。

Huli 寫的文章都很淺顯易懂相當推薦，這篇主要是在鼓勵你乖乖寫心得受用無窮這樣XD

Beginner-friendly Python and JavaScript exercises and tutorials, with video and written explanations of the basics. This is where I started learning Python!

A useful starting point for machine learning and data mining, with detailed Python, ML, and DL tutorials and practical exercises. Cloud notebooks let you run code without using your own computer's resources. There are also competitions in prediction, recognition, and other areas, some offering prizes or interview opportunities.

Tutorials on programming languages, data analysis libraries, and databases. Explanations of the basics are followed by fill-in-the-blank and interactive exercises.

A U.S.-based site for high school students to practice Capture the Flag (CTF) cybersecurity challenges. Its RPG-style approach makes it easy to get started—give it a try!

Created by NTU's Wush Wu, this resource lets you learn and practice directly in a local R environment. I used it in class and liked how the exercises build gradually from the basics.

An online judge with exercises organized by topic, including algorithms, data structures, AI, and programming languages. It feels similar to LeetCode to me, with rankings to compete for too.

Write code to control your character and compete against other players. The leagues progress through Wood 3, 2, 1, Bronze, Silver, Gold, and Legend; reaching the top of a league and defeating its boss lets you advance. Seasonal games add variety. It's a fun way to learn by programming games!

A practical introduction to Node.js that walks you through building a working website. The explanations are detailed and clear—I highly recommend it!

Notes by NTNU Computer Science students explaining algorithms and data structures. Clear explanations make this a good place to refresh what you've learned.

NTNU Computer Science Professor Chi Po-Wen's teaching site, covering C, information security, software engineering, and more. Public materials include handouts, lecture videos, and exams—a useful resource for building solid programming fundamentals.

A 100-day learning plan organized by topic, with detailed notes and code to practice with.

Free, structured courses covering data analysis, information security, machine learning, web applications, and more. The 300-hour course series include certificates on completion.

An experienced programmer's online judge solution blog, with problem analysis and explanations of how to approach each solution.

A blog by an experienced programmer, covering problem solving, web design, and practical software applications. Well worth a visit.

Technical articles alongside career advice and reflections on the software industry. Huli explains concepts clearly, and I always enjoy reading his work.

An APCS book by Chung Cheng University Computer Science Professor Wu Bang-Yi, aimed at students at practical level 3 or above. It builds concepts gradually and includes detailed problem solutions, so beginners can also find it useful.

A community-compiled collection of learning resources for programming contests.

Computer science training resources compiled from the perspective of Taiwanese high school students.

NTU's Computer Science department runs "Sprout" classes on algorithms and programming. The public course materials are clear and accessible for beginners.

A collection of programming resources, including videos and course websites.

LeetCode problems organized by topic and difficulty by wisdompeak, also known as "官神" in the community.

Focused on algorithm questions for software engineering interviews, with a structured approach that also helps build algorithmic thinking through practice :P

Predicts your rating after a LeetCode contest. I've found it fairly accurate, though the estimates tend to be a little conservative.

A tool for planning your LeetCode practice schedule.

A strong student and blockchain co-founder shares why he learns programming, what he enjoys about it, and how he approaches learning. If you're unsure about your direction, this may help you find some clarity. It resonated with me when I read it.

Enter a paper you want to read, and the site uses knowledge graphs and citation relationships to suggest a reading order. It helps you work through the background knowledge you may need before tackling the paper.

A collaborative LaTeX platform that has helped me through countless course reports!

An interactive Markdown tutorial that combines explanations with practice. I think it's one of the quickest ways to learn.

Covers Git as well as Markdown. Its concise notes are useful when you've learned the basics and need a refresher.

A Markdown collaboration platform developed in Taiwan. It's the smoothest one I've used, and it has been a favorite among my classmates since university.

A visual Git tool that displays a repository's commit history and includes an editor. I like its interface; some features may require a paid plan.

A popular 30-day series from the iT Help Iron Man Contest, with clear explanations of Git. I recommend it for both learning and reviewing the concepts.

A series of Android development courses from Google.

Unity's learning site offers tutorials organized around what you want to build. Pick a game type or topic and follow a learning path through the key concepts to a finished game.

A favorite of one of our department's teachers. It brings together problems from different platforms and lets you create contests and practice sets. It's useful for simulating a competition, though it can occasionally become unstable when busy.

"Have you practiced LeetCode?" is a familiar question when preparing for engineering interviews. It has many classic interview problems, making it a useful place to practice before applying for jobs.

Similar to LeetCode—another place to practice when you want more problems to keep your skills sharp.

A student-run online judge with Chinese-language problems suitable for beginners.

A Chinese-language online judge with plenty of basic exercises and harder problems too. Many beginners start practicing here.

An online judge from Russia with a clean interface, contests, and a rating system. A good place to practice competitive programming.

A well-known problem archive used as a question bank for the Collegiate Programming Examination (CPE). I've found the site slow, so practicing its problems through Virtual Judge can be more convenient.

A helpful companion for practicing UVa problems, with many problem statements translated into Chinese.

One of my favorite competitions as I moved from university into working life. Google's multi-stage contest had excellent problems. If you're comfortable with programming, I recommend trying the archived problems.

A detailed tutorial titled "Master Vim, This Article Is Enough"—though there's still a whole world of plugins and other features to explore XD

One of my favorite tutorials: clear, funny, and focused on practical skills you'll use often. Highly recommended!

A tool for controlling your browser with Vim-style commands. cVim had stopped working when I wrote this, but a fork called "vb4c" continued its development.

• Clear explanations of the latest LLM developments covered in the course, with thoughtfully designed assignments. As I recall, Hw2 asked you to build an LLM agent that generates and iteratively corrects code for a machine learning task, using its description and dataset. That's substantial enough to be a side project, and there's plenty more to explore!

Carefully prepared slides by a very capable teaching assistant. For the recordings, see the 2023 Machine Learning course website :)

Professor Lee brings extensive expertise in speech processing and explains it clearly. Assignments include pronunciation classification, spoken Chinese digit classification, and correcting sentences with phonetic symbols (e.g. ㄓ教作業ㄏ難 --> 助教作業好難). It's an excellent introduction to speech processing.

A solid open course from Stanford, covering concepts that also come up in technical interviews.

NTU's "Pokémon Master" explains concepts through practical, everyday examples. The course is very popular, with enrollment repeatedly exceeding NTU's course registration limits.

Professor Chen specializes in natural language processing (NLP), so the course focuses on deep learning for NLP. Assignments include intent classification, question answering and retrieval, and text summarization.

AI competitions hosted by Trend Micro, covering natural language processing, speech, and image processing. Most offer prizes and certificates.

A competition platform run by the Industrial Technology Research Institute, with a wide range of AI tasks to try. I've found more tasks here than on T-Brain, though prizes aren't always offered. A good place to practice!

A site for learning the Array input method, with code lookup and typing practice. Resources for Array can be hard to find, so this community-built site is helpful if you want a Chinese input method based on character components without memorizing radical positions.

An online development platform with an Ubuntu shell for writing code and connecting to GitHub. It used to be one of my favorites!

A paper-reading tool developed by Computer Science graduate students at Chung Cheng University. Given a paper, it recommends a reading order from background material to more advanced work. See the author's introduction for details.

An online shared whiteboard that was useful for remote discussions during the pandemic. Similar to Jamboard, but I found it much easier to use XD

A collection of video processing tools with a smooth, straightforward interface.

Will Kuo's site explains Git concepts and includes exercises for hands-on practice.

Jeff writes mainly about blockchain, but also shares experiences such as preparing for a GRE score of 329.

I enjoy Tina's writing: both her tutorials and accounts of her learning journey are detailed and clear. Her articles are consistently a pleasure to read. (github)

A mathematics student uses LaTeX and Vim to take polished notes in real time during lectures. This article explains how he configured Vim to balance speed and presentation.

Another clear, approachable article from Huli, encouraging beginners to write about what they learn and reflect on their experiences.