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feat: major Jekyll upgrade and modernization
- Upgrade theme from minimal to Cayman - Add responsive design and mobile optimization - Implement dual-language support (EN/CN) - Add comprehensive SEO optimization - Create professional project structure - Add custom CSS with 350+ lines of enhancements - Implement automatic ToC generation - Add contribution and deployment guides - Update all content with modern resources - Fix 21 broken links and add 25+ new resources
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‎.gitignore

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# Jekyll
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_site/
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.sass-cache/
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.jekyll-cache/
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.jekyll-metadata
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# Ruby
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Gemfile.lock
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.bundle/
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vendor/
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# OS
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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# Editor
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# Logs
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*.log
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# Runtime data
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pids
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*.pid
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*.seed
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# Environment variables
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.env
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.env.local
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.env.development.local
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.env.test.local
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.env.production.local
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# Temporary files
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tmp/
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temp/
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.tmp/

‎404.md

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---
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title: "404 - Page Not Found"
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description: "The page you're looking for doesn't exist."
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layout: default
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permalink: /404.html
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---
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# 🔍 404 - 页面未找到 / Page Not Found
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## 😅 抱歉，您要访问的页面不存在！
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### 🏠 您可以：
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* [返回首页 / Go Home]({{ '/' | relative_url }}) 🐍
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* [查看中文版 / View Chinese Version]({{ '/README_cn.html' | relative_url }}) 🇨🇳
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* [访问 GitHub 仓库 / Visit GitHub Repository]({{ site.github.repository_url }}) 📁
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### 📚 或者浏览我们的资源：
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* **🎓 学习教程** - Python从基础到高级
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* **📖 推荐书籍** - 精选Python学习书籍
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* **🔧 实用工具** - 开发必备工具
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* **🤖 AI/ML资源** - 人工智能和机器学习
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### 💡 可能的原因：
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* 链接已更新或移动
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* 输入了错误的URL
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* 页面正在维护中
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---
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**🚀 FlyPython** - 让Python学习飞起来！
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如果您认为这是一个错误，请在 [GitHub Issues]({{ site.github.repository_url }}/issues) 中报告。

‎Gemfile

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source "https://rubygems.org"
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# Hello! This is where you manage which Jekyll version is used to run.
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# When you want to use a different version, change it below, save the
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# file and run `bundle install`. Run Jekyll with `bundle exec`, like this:
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#
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# bundle exec jekyll serve
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#
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# This will help ensure the proper Jekyll version is running.
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# Happy Jekylling!
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gem "jekyll", "~> 4.3.2"
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# This is the default theme for new Jekyll sites.
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gem "jekyll-theme-cayman", "~> 0.2.0"
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# If you want to use GitHub Pages, remove the "gem "jekyll"" above and
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# uncomment the line below. To upgrade, run `bundle update github-pages`.
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# gem "github-pages", group: :jekyll_plugins
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# If you have any plugins, put them here!
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group :jekyll_plugins do
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gem "jekyll-feed", "~> 0.12"
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gem "jekyll-sitemap", "~> 1.4"
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gem "jekyll-seo-tag", "~> 2.8"
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gem "jekyll-optional-front-matter", "~> 0.3.2"
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gem "jekyll-readme-index", "~> 0.3.0"
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end
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# Windows and JRuby does not include zoneinfo files, so bundle the tzinfo-data gem
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# and associated library.
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platforms :mingw, :x64_mingw, :mswin, :jruby do
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gem "tzinfo", ">= 1", "< 3"
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gem "tzinfo-data"
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end
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# Performance-booster for watching directories on Windows
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gem "wdm", "~> 0.1.1", :platforms => [:mingw, :x64_mingw, :mswin]
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# Lock `http_parser.rb` gem to `v0.6.x` on JRuby builds since newer versions of the gem
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# do not have a Java counterpart.
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gem "http_parser.rb", "~> 0.6.0", :platforms => [:jruby]

‎README.md

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# FlyPython
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---
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title: "FlyPython - Python Learning Resources"
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description: "A curated collection of Python learning resources including tutorials, books, courses, and best practices for developers at all levels."
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layout: default
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lang: en
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permalink: /
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---
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# 🐍 FlyPython
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[python.flypython.com](https://python.flypython.com )
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## Python for LLM
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- [Python for AI and Machine Learning](https://realpython.com/learning-paths/machine-learning-python/)
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- [LangChain Python Documentation](https://python.langchain.com/docs/get_started/introduction/)
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- [OpenAI Python Library](https://github.com/openai/openai-python)
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- [Building LLM Applications with Python](https://www.deeplearning.ai/short-courses/)
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## Python Books
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#### Beginner
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- 《Python Crash Course: A Hands-On, Project-Based Introduction to Programming for begainners》
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- 《Python Crash Course: A Hands-On, Project-Based Introduction to Programming for begainners》 (3rd Edition, 2023)
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- ※※※※※
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- [Amazon](https://www.amazon.com/Python-Crash-Course-Hands-Project-Based/dp/1593276036)
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- [Amazon](https://www.amazon.com/Python-Crash-Course-Hands-Project-Based/dp/1718502702)
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- 《STARTING OUT WITH PYTHON (4TH EDITION)》
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- ※※※※※
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- [Amazon](https://www.amazon.com/Starting-Out-Python-Tony-Gaddis/dp/0134444329)
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- 《Automate the Boring Stuff with Python: Practical Programming for Total Beginners 》
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- 《Automate the Boring Stuff with Python: Practical Programming for Total Beginners》 (2nd Edition)
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- ※※※※※
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- [Amazon](https://www.amazon.com/Automate-Boring-Stuff-Python-Programming/dp/1593275994)
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- [Free Online](https://automatetheboringstuff.com/) | [Amazon](https://www.amazon.com/Automate-Boring-Stuff-Python-Programming/dp/1593279922)
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- 《Python Cookbook: Recipes for Mastering Python 3 Paperback 》
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- 《Python Cookbook: Recipes for Mastering Python 3》
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- ※※※※※
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- [Amazon](https://www.amazon.co.uk/Python-Cookbook-David-Beazley/dp/1449340377)
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#### Modern Python (2023-2024)
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- 《Effective Python: 90 Specific Ways to Write Better Python》 (2nd Edition)
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- ※※※※※
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- [Amazon](https://www.amazon.com/Effective-Python-Specific-Software-Development/dp/0134853989)
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- 《Clean Code in Python》
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- ※※※※※
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- [Amazon](https://www.amazon.com/Clean-Code-Python-maintainable-efficient/dp/1788835832)
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### Recommended Learning
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A) REST APIs: [Build professional REST APIs with Python, Flask, Flask-RESTful, and Flask-SQLAlchemy.](http://bit.ly/2nktytU) [12,602 recommends, 4.6/5 stars]
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A) REST APIs: [REST APIs with Flask and Python in 2024 - Complete Course](https://www.coursera.org/learn/packt-rest-apis-with-flask-and-python-in-2024-i01az) [Professional Flask Development with Modern Tools]
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B) Algorithmic Trading: [Python for Financial Analysis and Algorithmic Trading: Learn numpy , pandas , matplotlib , quantopian , finance.](http://bit.ly/2FfVW8G) [18,077 recommends, 4.6/5 stars]
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B) Financial Analysis: [The 2024 Guide to Using YFinance with Python for Stock Analysis](https://kritjunsree.medium.com/the-2024-guide-to-using-yfinance-with-python-for-effective-stock-analysis-668a4a26ee3a) [Modern Python Finance Tools]
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### Structure
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* [Alice in Python projectland: A comprehensive guide for how to go from Python scripts to a packaged project.](http://veekaybee.github.io/2017/09/26/python-packaging?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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* [Python Packaging User Guide: Creating a Project](https://packaging.python.org/en/latest/tutorials/packaging-projects/)
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* [Real Python: Python Modules and Packages](https://realpython.com/python-modules-packages/)
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### List
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* [Python List Comprehension Tutorial](http://www.datacamp.com/community/tutorials/python-list-comprehension?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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* [Python List Comprehension Tutorial](https://realpython.com/list-comprehension-python/)
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* [Beginner's Guide To List Comprehensions In Python](https://zerotomastery.io/blog/list-comprehension-python/)
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### Spreasheet
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* [Python Excel Tutorial: The Definitive Guide - Karlijn Willems](http://www.datacamp.com/community/tutorials/python-excel-tutorial?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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### Spreadsheet
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* [Python Excel Tutorial: The Definitive Guide](https://hackernoon.com/python-excel-tutorial-the-definitive-guide-934ee6dd15b0)
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* [Data Analysis with Python in Excel](https://learning.anaconda.cloud/anaconda-certified-data-analysis-with-python-in-excel)
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* [Google Sheets and Python](https://www.youtube.com/watch?v=vISRn5qFrkM?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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### Finance
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* [Python For Finance: Algorithmic Trading](https://www.datacamp.com/community/tutorials/finance-python-trading?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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* [The 2024 Guide to Using YFinance with Python for Stock Analysis](https://kritjunsree.medium.com/the-2024-guide-to-using-yfinance-with-python-for-effective-stock-analysis-668a4a26ee3a)
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* [Quantitative Trading with Python: Analyzing Financial Data](https://medium.com/@deepml1818/quantitative-trading-with-python-analyzing-financial-data-7c829d447e0a)
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* [Navigating Financial Data with Python and Alpha Vantage in 2024](https://medium.com/@datavisiondallas/navigating-financial-data-with-python-and-alpha-vantage-in-2024-a-beginners-guide-ca005bb1a6c2)
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* [Intro and Getting Stock Price Data - Python Programming for Finance p.1 - Sentdex](https://www.youtube.com/watch?v=2BrpKpWwT2A?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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* [Analyzing Cryptocurrency Markets Using Python](https://blog.patricktriest.com/analyzing-cryptocurrencies-python?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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### Flake
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* [The Big Ol' List of Rules](https://lintlyci.github.io/Flake8Rules?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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### Flask & Code Quality
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* [Flake8 Error Codes Documentation](https://flake8.pycqa.org/en/latest/user/error-codes.html)
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* [REST APIs with Flask and Python in 2024](https://www.coursera.org/learn/packt-rest-apis-with-flask-and-python-in-2024-i01az)
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* [Developing RESTful APIs with Python and Flask](https://auth0.com/blog/developing-restful-apis-with-python-and-flask?utm_source=mybridge&utm_medium=email&utm_campaign=read_more)
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* [REST APIs with Flask and Python - Complete Guide](https://rest-apis-flask.teclado.com/)
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‎README_cn.md

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# FlyPython
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---
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title: "FlyPython - Python 学习资源"
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description: "精心策划的 Python 学习资源集合，包含教程、书籍、课程和各级别开发者的最佳实践。"
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layout: default
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lang: zh-CN
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permalink: /README_cn.html
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---
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# 🐍 FlyPython
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## Python书籍列表
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- 《Python编程从入门到实践》
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- 《Python编程快速上手-让繁琐工作自动化》
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- 《Python学习手册》
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- 《Python编程从入门到实践》（第3版，2023年）
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- 《Python编程快速上手-让繁琐工作自动化》（第2版）
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- 《Python学习手册》（第5版）
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- 《流畅的Python》
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- 《Python Ticks: A Buufect of Awesome》
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- 《Effective Python: 59 Specific ways to 》
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-
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- 《流畅的Python》（第2版）
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- 《Python技巧：充分利用Python的特性》
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- 《Effective Python: 编写高质量Python代码的90个建议》（第2版）
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#### 实践
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- 《Python编程》
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- 《Python编程：从入门到实践》
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- 《Python极客项目编程》
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- 《Python核心编程》
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- 《Python核心编程》（第3版）
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#### 高级
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- 《Python Cookbook》
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- 《Python Cookbook》（第3版）
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- 《Python高性能编程》
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- 《架构整洁之道：Python编程》
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#### 现代Python（2023-2024）
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- 《Python数据科学手册》（第2版）
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- 《Python机器学习实战》
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- 《深度学习入门：基于Python的理论与实现》
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## Python课程列表
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#### 初学者
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- [Python for Everybody](https://www.coursera.org/specializations/python)
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- [Python基础教程 - 菜鸟教程](https://www.runoob.com/python/python-tutorial.html)
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- [廖雪峰Python教程](https://www.liaoxuefeng.com/wiki/1016959663602400)
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#### 进阶课程
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- [Python数据科学实战](https://www.coursera.org/specializations/python-data-science-university-of-michigan)
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- [Python机器学习课程](https://www.coursera.org/learn/machine-learning-with-python)
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## Github Top 45
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#### 专业领域
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- [Python Web开发](https://www.coursera.org/learn/django-web-framework)
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- [Python自动化测试](https://testdriven.io/courses/)
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- [Python爬虫开发](https://realpython.com/web-scraping-with-scrapy-and-mongodb/)
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REST API：使用 Python，Flask，Flask-RESTful 和 Flask-SQLAlchemy 构建专业的 REST API ［12,602 个推荐，4.6 / 5 星］
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链接：https://www.udemy.com/rest-api-flask-and-python/
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## Github Top 45
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**现代化REST API开发：**使用 Python 和 Flask 构建2024年专业级 REST API ［现代工具和最佳实践］
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链接：https://www.coursera.org/learn/packt-rest-apis-with-flask-and-python-in-2024-i01az
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算法交易：用于财务分析和算法交易的 Python，主要学习包括 numpy，pandas，matplotlib，quantopian，finance ［8,077 个推荐，4.6 / 5 星］
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**Python金融分析：**2024年使用YFinance进行股票分析的完整指南 ［现代Python金融工具］
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链接：https://www.udemy.com/python-for-finance-and-trading-algorithms/
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链接：https://kritjunsree.medium.com/the-2024-guide-to-using-yfinance-with-python-for-effective-stock-analysis-668a4a26ee3a
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6. Python 列表生成器的教程
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6. Python 列表推导式完整指南
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Real Python提供的深入教程，详细介绍如何在Python中有效使用列表推导式。包含条件逻辑、性能优化、最佳实践等高级主题。
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在这份教程中，你将能够学习到如何在 Python 中有效地使用列表生成器来创建列表，替换 (嵌套) for 循环以及使用 map (), filter (), reduce () 函数等。
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链接：https://realpython.com/list-comprehension-python/
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文章首先简单回顾了 Python 中列表的基本概念，并与 Python 中其他的数据结构进行比较。接着讲解了列表生成器的学习。文章还讲解了 Python 列表背后的数学知识，创建列表生成器的方法，以及如何在 for 循环或 lambda 隐函数中重写它们。
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7. Python 列表推导式初学者指南
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Zero to Mastery提供的实用教程，通过6个真实案例展示列表推导式的强大功能，包括数据过滤、转换和生成等常见用例。
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链接：https://www.datacamp.com/community/tutorials/python-list-comprehension
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链接：https://zerotomastery.io/blog/list-comprehension-python/
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Python 中的网页抓取
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8. Python Excel 数据分析完整指南
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HackerNoon提供的详细教程，展示如何使用Python处理Excel文件，包括pandas、openpyxl等主要库的使用方法。
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8. 如何使用 Python 中的 Scrapy、SQL 和 Matplotlib 等库进行网页抓取，并获取网页数据分析
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链接：https://hackernoon.com/python-excel-tutorial-the-definitive-guide-934ee6dd15b0
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你可以通过这篇文章学习到网页爬取知识，并用于实践中。
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9. Python 在 Excel 中的数据分析认证课程
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作者：ScrapingAuthority
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Anaconda官方认证课程，学习如何在Excel中使用Python进行专业级数据分析。
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链接：http://www.scrapingauthority.com/python-scrapy-mysql-and-matplotlib-to-gain-web-data-insights/
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链接：https://learning.anaconda.cloud/anaconda-certified-data-analysis-with-python-in-excel
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