本列表汇总了程序设计、数据科学及生物信息学的学习书籍、优质博客、官方技术手册、技术问答以及广受好评的开发者交流论坛与学术社区。
- 📚 R 语言学习书籍 (R Books)
- 📚 Python 语言学习书籍 (Python Books)
- 📚 Go 语言学习书籍 (Go Books)
- 📚 生物统计与生物信息学书籍 (Bioinformatics Books)
- 📚 计算机与数据科学综合书籍 (General Books)
- 🎓 精选在线课程 (Online Courses)
- ✍️ 优质个人与团队技术博客 (Tech Blogs)
- 📖 官方开发文档与参考手册 (Documentations)
- 📋 资源汇总与精选项目列表 (Curated Lists)
- 🌐 实用技术网站与门户 (Tech Portals)
- 💬 技术问答社区与经典解答 (Q&A)
- 🐧 Linux 经典博文与实用技巧 (Linux Articles)
- 🥼 R 语言技巧与精选博文 (R Articles)
- 🐍 Python 编程技巧与博文 (Python Articles)
- 🧬 生物信息学分析实战博文 (Bioinfo Articles)
- 📊 统计学与数学建模博文 (Statistics Articles)
- 🐳 Docker 与容器化运维博文 (Docker Articles)
- 🧠 核心科学与技术概念解析 (Concepts)
- 📝 其他技术与学术博文 (Other Articles)
- 📝 编程小抄与速查表 (Cheat Sheets)
- 💬 开发者与学术论坛社区 (Developer Forums)
- 💻 编程学习与刷题练习 (Programming Practice)
- 🔍 实用搜索引擎与技术导航 (Search Engines & Portals)
- Advanced R Solutions
- Applied Causal Analysis (with R)
- Beyond Multiple Linear Regression
- Big Book of R
- Biology 723: Statistical Computing for Biologists
- Chapter 1 Preamble | HTTP testing in R
- Companion to BER 642: Advanced Regression Methods
- ComplexHeatmap Complete Reference
- Data Science Live Book
- dgrtwo/tidy-text-mining: Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
- djnavarro/rbook: Source files for "Learning Statistics with R"
- Doing Meta-Analysis in R
- Efficient R programming
- Engineering Production-Grade Shiny Apps
- Exploratory Data Analysis with R
- Exploring, Visualizing, and Modeling Big Data with R
- Foreword | Outstanding User Interfaces with Shiny
- ggplot2: Elegant Graphics for Data Analysis
- Hands-On Machine Learning with R
- jcheng5/shiny-book
- johnmyleswhite/ML_for_Hackers: Code accompanying the book "Machine Learning for Hackers"
- Mastering Shiny
- Mastering Software Development in R
- Modern R with the tidyverse
- Overview | Applied Data Skills
- Preface | Beginning Computer Science with R
- R (BGU course)
- R for Data Science
- R Graphics Cookbook, 2nd edition
- R Manuals :: Writing R Extensions ¶
- R Markdown: The Definitive Guide
- R Packages
- rmcelreath/statrethinking_winter2019: Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
- R语言忍者秘笈
- R语言教程
- Simon Ejdemyr - R Tutorials (Archive)
- STAT 545
- Statistical Inference via Data Science
- Text Mining with R
- The tidyverse style guide
- Tidy design principles
- Tidy Modeling with R
- tidymodels/TMwR: Code and content for "Tidy Modeling with R"
- Welcome | Advanced R
- Welcome | Data Science in a Box
- Welcome | Mastering Shiny
- Welcome! | R for Clinical Study Reports and Submission
- What They Forgot to Teach You About R
- XiangyunHuang/MSG-Book: 现代统计图形 Modern Statistical Graphics
- YaRrr! The Pirate’s Guide to R
- 前言 | 数据科学中的 R 语言
- 庄闪闪的可视化
- 数据分析残卷
- 欢迎 | 现代应用统计与 R 语言
- eastlakeside/interpy-zh: 📘《Python进阶》（Intermediate Python 中文版）
- Introduction — Coding for Economists
- Making Games with Python & Pygame
- Principles and Techniques of Data Science
- Python & OpenGL for Scientific Visualization
- Python Cookbook 3rd Edition Documentation — python3-cookbook 2.0.0
- Python Data Science Handbook | Python Data Science Handbook
- Python教程
- rougier/scientific-visualization-book: An open access book on scientific visualization using python and matplotlib
- selfteaching/the-craft-of-selfteaching: One has no future if one couldn't teach themself.
- 使用Python进行数据分析（第二版）——简书
- Algorithms to Go · YourBasic
- chai2010/go2-book: 《Go2编程指南》开源图书，重点讲解Go2新特性，以及Go1教程中较少涉及的特性
- changkun/go-under-the-hood: 📚 Go Under The Hood: A Source Code Study of Go (1.14, WIP)
- Go by Example 中文版
- Go 语言设计与实现 | Go 语言设计与实现
- Go语言101 - Go语言101（通俗版白皮书）
- hoanhan101/ultimate-go: The Ultimate Go Study Guide
- Introduction · Go语言高级编程
- polaris1119/The-Golang-Standard-Library-by-Example: Golang标准库。对于程序员而言，标准库与语言本身同样重要，它好比一个百宝箱，能为各种常见的任务提供完美的解决方案。以示例驱动的方式讲解Golang
- the-way-to-go_ZH_CN/directory.md at master · unknwon/the-way-to-go_ZH_CN
- 《Go 简易教程》 | Go 技术论坛
- 《Go 语言编程之旅：一起用 Go 做项目》
- 前言 | Go语言圣经
- 成为 Go 高手的 8 个 GitHub 开源项目
- 简介 · Go语言标准库
- An Introduction to Statistical Learning
- Analysis of single cell RNA-seq data
- Assigning cell types with SingleR
- Bayesian Data Analysis course
- Bioinformatics Tutorial - Bioinformatics Tutorial
- Biomedical Knowledge Mining using GOSemSim and clusterProfiler
- Biopython 教程与手册 — Biopython-cn 0.1
- Book contents | Orchestrating Single-Cell Analysis with Bioconductor
- clusterProfiler: universal enrichment tool for functional and comparative study
- Computational Genomics with R
- CSAMA 2022: Data Analysis for Genome Scale Biology
- Data Science for Biological, Medical and Health Research: Notes for 432
- Data Science for High-Throughput Sequencing
- ESL CN
- Genome-Scale Algorithm Design
- harvardx
- hemberg-lab/scRNA.seq.course: Analysis of single cell RNA-seq data course
- Home | Modern Statistics for Modern Biology
- Human Genome Variation Lab
- Interactive Linear Algebra
- Introduction to Bioinformatics and Computational Biology
- Mixed Models with R
- Operations on Genomic Intervals with GenomicRanges package | Notes on Computational Genomics with R
- Orchestrating Single-Cell Analysis with Bioconductor
- Preamble | Bioinformatics
- Single Cell Multi-Omics Data Analysis
- Single-cell best practices — Single-cell best practices
- The RBioc Book
- Welcome | Causal Inference
- 封面 · 生物信息学生R入门教程
- 开篇词 - labuladong 的算法教程
- 生物学概念与途径 课件下载_RAOLAB
- 0voice/expert_readed_books: 2020年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍
- A Minimal rTorch Tutorial
- Another Book on Data Science
- Build Your Own X From Scratch Books
- changkun/modern-cpp-tutorial: 📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
- chenyuntc/pytorch-book: PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
- Computer Networks: A Systems Approach — Computer Networks: A Systems Approach Version 6.2-dev
- Data Science at the Command Line
- Dive into Deep Learning — Dive into Deep Learning 0.15.1
- dlab-berkeley/Machine-Learning-in-R: Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
- Docker教程_w3cschool
- free-programming-books/free-programming-books.md at master · EbookFoundation/free-programming-books
- h-Klok/StatsWithJuliaBook
- Introduction - Rust By Example
- Introduction - The Rust Reference
- Introduction · Pytorch 中文
- Introduction · sklearn 中文
- johnmyleswhite/MLNotes: Very concise notes on machine learning and statistics.
- Learn C++
- Linux工具快速教程 — Linux Tools Quick Tutorial
- Makefile Tutorial By Example
- mlr3 manual
- modern-cpp-tutorial/README-zh-cn.md at master · changkun/modern-cpp-tutorial
- Pro Git 简体中文版
- Programming in Emacs Lisp
- PyTorch简介 - PyTorch教程™
- Read LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World | Leanpub
- Rust 程序设计语言 - Rust 程序设计语言 简体中文版
- Rust-101: main.rs
- Rust-101: part01.rs
- R的极客理想系列文章 | 粉丝日志
- The Rust Programming Language - The Rust Programming Language
- The Unix Workbench
- TypeScript 教程 - 网道
- xiaolai/time-as-a-friend: 《把时间当作朋友》
- yikeke/tao-of-programming: 《编程之道》 (Tao of Programming, 1987) 最新中英双语版
- 《动手学深度学习》：面向中文读者、能运行、可讨论
- 提示工程指南 | Prompt Engineering Guide
- 神经网络与深度学习
- 神经网络与深度学习
- 第一章 序章 | LeetCode Cookbook
- 统计因果推断 PRIMER
- 计算机专业学习路线 | HackWay技术学习路线
- 说明 - Just 用户指南
- adw96/biostat561: Course materials for BIOST561
- alsotang/node-lessons: 《Node.js 包教不包会》 by alsotang
- berkeley-stat-157/slides-zh at master · d2l-ai/berkeley-stat-157
- Bios221 / Stats 366 Labs
- Course Guide | MIT Learning Modules
- Current Topics in Genome Analysis 2016 Course Syllabus, Handouts and Videos - National Human Genome Research Institute (NHGRI)
- fengdu78/deeplearning_ai_books: deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
- jackfrued/Python-100-Days: Python - 100天从新手到大师
- Learn R, Python & Data Science Online | DataCamp
- Lecture Slides | Foundations of Computational and Systems Biology | Biology | MIT OpenCourseWare
- rmcelreath/stat_rethinking_2023: Statistical Rethinking Course for Jan-Mar 2023
- rstudio/bigdataclass: Course materials for the Big Data workshop taught at rstudio::conf
- 中国大学MOOC(慕课)_最好的在线课程学习平台
- 免费学习编程 - Python、JavaScript、Java、Git 等
- 哔哩哔哩 ( ゜- ゜)
- 浏览 | Coursera
- 网易公开课
- Dean Attali - R-Shiny Consultant
- Jupyter Notebook的27个窍门，技巧和快捷键
- Linux中国
- Python内置的字符串处理函数整理_python_脚本之家
- R bookdown 快速入门和语法速查 » 大鹏志
- The Go Programming Language Blog
- The Ultimate Guide to Writing & Publishing with Markdown
- wsdjeg/vim-galore-zh_cn: Vim 从入门到精通
- 只需十四步：从零开始掌握Python机器学习（附资源）
- 521xueweihan/git-tips: Git的奇技淫巧
- Bash 的基本语法 - Bash 脚本教程 - 网道
- Biopython
- Biopython Tutorial and Cookbook
- Biopython教程™
- BLAST® Command Line Applications User Manual - NCBI Bookshelf
- Home · Rdatatable/data.table Wiki
- Home · xitu/gold-miner Wiki
- koalaverse/hands-on-machine-learning-with-r: Hands-on Machine Learning with R: An applied book covering the fundamentals of machine learning with R.
- Matplotlib教程™
- openai/spinningup: An educational resource to help anyone learn deep reinforcement learning.
- Python中文
- Reproducible workflows at scale with drake
- rstudio/cheatsheets: RStudio Cheat Sheets
- soulmachine/machine-learning-cheat-sheet: Classical equations and diagrams in machine learning
- storopoli/Bayesian-Statistics: This repository holds slides and code for a full Bayesian statistics graduate course.
- The Leanpub Manual
- The Python Tutorial — Python 3.7.0
- the-art-of-command-line/README-zh.md at master · jlevy/the-art-of-command-line
- Using Bioconda — Bioconda
- Visual R Markdown
- wlandau/drake-examples: Example workflows for the drake R package
- wlandau/learndrake: An R package that teaches drake
- wzchen/probability_cheatsheet: A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
- 前言 - Docker —— 从入门到实践
- 数据可视化入门教程（beta） · 语雀
- ApacheCN
- bradleyboehmke/data-science-learning-resources: A collection of machine learning resources that I've found helpful (I only post what I've read!)
- BTEP Video Archive of Past Classes
- collabnix/dockerlabs: Docker - Beginners | Intermediate | Advanced
- crazyhottommy/scRNAseq-analysis-notes: scRNAseq analysis notes from Ming Tang
- ctjhoa/rust-learning: A bunch of links to blog posts, articles, videos, etc for learning Rust
- daattali/addinslist: Discover and install useful RStudio addins
- Deep Learning - book
- eugeneyan/applied-ml: 📚 Curated papers, articles & videos on data science & machine learning applied in production, with results.
- jobbole/awesome-c-cn: C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。
- mcanouil/awesome-quarto: A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
- MisterBooo/LeetCodeAnimation: Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
- ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
- Nathaniel E. Helwig
- polaris1119/awesome-cheatsheets-cn: 🔥🔥🔥专为国人开发者打造的 Cheat Sheet — 操作系统、数据库、编程语言、框架和开发工具等速查表。通过一个文件快速掌握或查找你所需的关键知识。🚀🚀项目上榜靠你了，觉得不错点个 Star 吧！🚀🚀
- rstudio/RStartHere: A guide to some of the most useful R Packages that we know about
- ruanyf/free-books: 互联网上的免费书籍
- sindresorhus/awesome: Curated list of awesome lists
- Teaching
- Teaching materials at the Harvard Chan Bioinformatics Core
- theislab/sc-pert: Models and datasets for perturbational single-cell omics
- TwoWater/Python: 最良心的 Python 教程：
- zhoushengisnoob/DeepClustering: Methods and Implements of Deep Clustering
- 为什么这么设计系列文章 - 面向信仰编程
- A Gentle Guide to the Grammar of Graphics with ggplot2
- ahmadawais/Emoji-Log: 🚀Emoji-Log — An Emoji Git commit log messages spec standard. [ 📦👌🐛📖🚀✅ ]
- AI写作助手
- algorithm-visualizer/algorithm-visualizer: Interactive Online Platform that Visualizes Algorithms from Code
- An Introduction to the GenomicRanges Package
- Anaconda Cloud
- Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding
- BAI Chat
- Bazel
- Beautiful Free Images & Pictures | Unsplash
- Bioinformatics – Genomics Core at NYU CGSB
- Biostar
- BioTreasury
- BioTreasury
- bookdown
- cdnjs - The #1 free and open source CDN built to make life easier for developers
- ChatGPT-OpenAI
- Cheatsheet | Font Awesome
- chefyuan/algorithm-base: 专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！
- Coding Club: A Positive Peer-Learning Community
- commitizen/cz-cli: The commitizen command line utility. #BlackLivesMatter
- Cookbook for R
- Crx搜搜 | 搜索并获取Chrome，Edge，Firefox，Opera浏览器扩展离线安装包
- Deep Learning with PyTorch | PyTorch
- DeepSeek - 探索未至之境
- DevDocs API
- Diving into Genetics and Genomics
- elder-frog/OpenCourseCatalog: Bilibili 公开课目录
- Electronic library. Download books free. Finding books
- Element | hiplot-org/dev
- fchollet/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"
- feddelegrand7/ralger: ralger makes it easy to scrape a website. Built on the shoulders of titans: rvest, xml2.
- Focus on Peer Review: Your role as a peer reviewer
- Free Icons
- Free On-Line English Dictionary | Thesaurus | Children's, Intermediate Dictionary | Wordsmyth
- Free to Use Clip Art Images & Vector Illustrations | ManyPixels
- Galaxy Training!
- GeeksforGeeks | Your All-in-One Learning Portal
- gGnome.js
- git -- git emoji列表（github commit 前面的小icon） - 积少成多
- GitHub
- GitHub Classroom
- GoDaddy
- Godot Engine - 免费开源的 2D 与 3D 游戏引擎
- goinaction/code: Source Code for Go In Action examples
- google/codesearch: Fast, indexed regexp search over large file trees
- Greasy Fork - 安全、实用的用户脚本大全
- Gridea
- Grok
- GZzzhsmart/development-document: 国家标准的软件开发
- HelloGitHub 分享 GitHub 上入门级、有趣的开源项目
- Heroicons
- HF-Mirror
- Hiplot (ORG) | Cloud-based biomedical data visualization system
- Hiplot | Visualization of Scientific Data
- HiPPTER | PPT资源导航 | PPT模板下载
- Home | Modern Statistics for Modern Biology
- Home | Nature Masterclasses China
- https://colab.research.google.com
- iBiology — Bringing the world's best biology to you, for free!
- iconfont-阿里巴巴矢量图标库
- Introduction to Julia | Julia Academy
- Jiumo Search 鸠摩搜索 - 文档搜索引擎
- juba/shinyglide: Glide.js component for Shiny apps
- Julia Computing
- Julia Interop
- Julia 语言入门指引 - 综合讨论区 / Julia入门 - Julia中文社区
- JuliaInterop/RCall.jl: Embedded R within Julia
- JuliaPy/PyCall.jl: Package to call Python functions from the Julia language
- Julia中文社区
- Kimi.ai - 帮你看更大的世界
- kitasuke/monkey-go: "Writing An Interpreter in Go" and "Wring A Compiler in Go"
- kon9chunkit/GitHub-Chinese-Top-Charts: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！（武汉加油！中国加油！世界加油！）
- Le Chat - Mistral AI
- Learn Git Branching
- LEARN R 💻 [Introduction, Data Structures, Data Manipulation, Plots, ...]
- Learn TV | Microsoft Docs
- Learn X in Y Minutes: Scenic Programming Language Tours
- Learning Julia
- Lession template: carpentries-incubator/template: A blank starting point for new lessons in The Carpentries Incubator
- Mathlets : MIT Mathlets
- MIT OpenCourseWare | Free Online Course Materials
- Nature Careers Podcast | Nature
- OncoHarmony Open WebUI
- Online Picture Dictionary
- Openly Licensed Images, Audio and More | Openverse
- ossu/bioinformatics: Path to a free self-taught education in Bioinformatics!
- PH525x series -必学-R基因组学
- Practically Science - conceptual info-graphics for interdiscipinary scientists
- Quick Intro to Parallel Computing in R
- Quick-R: Home Page
- quinlan-lab/applied-computational-genomics: Applied Computational Genomics Course at UU: Spring 2020
- R for Data Science (2e)
- R Manuals - The R Manuals
- R Packages – RStudio
- README - 方糖全栈路线图
- realYurkOfGitHub/translation-Introduction-to-HPC: 为 Eijhout 教授的Introduction to HPC提供中文翻译、 PPT和Lab。
- RePORT ⟩ RePORTER
- rstudio-conf-2020/dl-keras-tf: rstudio::conf(2020) deep learning workshop
- ruanyf/jstraining: 全栈工程师培训材料
- ruanyf/wechat-miniprogram-demos: 微信小程序教程库
- Rust Language Cheat Sheet
- Rust Playground
- R博文收纳|STHDA
- sandbox.bio
- SciDraw | Scientific Drawings
- Signatures of copy number alterations in human cancer - PMC
- Single-cell Workshop 2021
- Singularity Container Services | Home
- Sync Pragmas · shanalikhan/code-settings-sync Wiki
- The Bioconductor 2018 Workshop Compilation
- The FreeBSD Project
- theb.ai
- ToDesk远程桌面软件-免费安全流畅的远程连接电脑手机
- trekhleb/learn-python: 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
- Tutorials on Advanced Stats and Machine Learning With R
- Vue.js challenges | Vue.js challenges
- vuejs-challenges/README.zh-CN.md at main · webfansplz/vuejs-challenges
- Welcome to Rcpp Note! — Rcpp Note 0.11.3
- Welcome | ggplot2
- whatchanged-community/whatchanged: 📖 优雅的变更日志生成器 Elegant changelog generator
- wikiHow - 您可以编辑的指导
- woai3c/MIT6.828: 实现一个操作系统内核
- xx025/carrot: Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点，当前100+站点
- yihui/xfun: Yihui Xie's miscellaneous R functions
- yonicd/carbonate: carbon.js for R
- Z-Library Project - Electronic library Z. Download books free
- Z-Library. The world's largest ebook library.
- zboyco/bililive: bilibili哔哩哔哩 直播弹幕和礼物获取SDK（非官方）
- » RFC Editor
- 《零基础入门学习Web开发》（HTML5&CSS3）配套学习资源|课后作业|教学素材|扩展阅读|案例课件-鱼C工作室
- 主页 · Julia中文
- 介绍 | RSSHub
- 使用 Gemini API 进行构建 | Google AI for Developers
- 免费正版高清图片素材库 超过2.5百万张优质图片和视频素材可供免费使用和下载
- 博士招聘,高校教师招聘,高校人才招聘-博士人才网（官方站）立足中国 面向海外
- 吾爱破解 - LCG - LSG|安卓破解|病毒分析|www.52pojie.cn
- 基本操作
- 复杂热图实用
- 天工
- 工具类型及开发说明 | Hiplot
- 开发者手册 - 云+社区
- 微信搜索
- 易百教程™ - 专注于IT教程和实例
- 机器学习简介 (Introduction to Machine Learning) | 机器学习速成课程 | Google Developers
- 机器学习速成课程 | Google Developers
- 生信技能树-jimmy的个人空间 - 哔哩哔哩 ( ゜- ゜)つロ 乾杯~ Bilibili
- 科学网—如何成为顶级生物信息学家 - 薛宇的博文
- 第 9 频道：由创建 Microsoft 产品和服务的人员提供的适用于开发人员的视频
- 粉丝日志 | 跨界的IT博客|Hadoop家族, R, RHadoop, Nodejs, AngularJS, NoSQL, IT金融
- 维基百科，自由的百科全书
- 网站首页 | 程序厨
- 网道 - 互联网开发
- 网页红井-联机对战平台
- 腾讯元宝 - 我的
- 莫烦Python
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