CS50x 2021
This is CS50x 2021, an older version of the course. See cs50.harvard.edu/x for the latest! Welcome Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engine
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ãŠçŸ¥ã‚‰ã›: 2022/9/1 CS50 を活用ã—ãŸéžå–¶åˆ©ï¼å”è³›ä¼æ¥ã«ã‚ˆã‚‹ã€Œã‚³ãƒãƒŠå¦ç”Ÿæ”¯æ´ã€ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚’å®Ÿæ–½ä¸ â–¼ å¦ç”Ÿã®æ–¹ã¸ï¼šCS50 ã®å¦ç¿’（履修証明書ã®å–得）を一緒ã«å–り組むプãƒã‚¸ã‚§ã‚¯ãƒˆ CS50日本語版ã®ç¿»è¨³ã‚³ãƒ³ãƒˆãƒªãƒ“ューターã§ã‚ã‚‹ CODEGYM ãŒä¸»å‚¬ã™ã‚‹ã€éžå–¶åˆ©ï¼ç„¡å„Ÿã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã€ŒCODEGYM Academy (外部リンク)ã€ã¯ã€æ˜¨å¹´ã«ç¶šã2022年度（春/秋）もã€ã‚ャリアé¸æŠžã‚’控ãˆãŸå¦ç”Ÿã«å¯¾ã—ã€ä»¥ä¸‹ã®ä¼æ¥ã®å”è³›ã«ã‚ˆã‚Šç„¡å„Ÿã§17週間ã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°æ•™è‚²ã‚«ãƒªã‚ュラムをæä¾›ã—ã¾ã™ã€‚ CODEGYM Academy å”è³›ä¼æ¥ï¼ˆ2022年） https://codegym.jp/academy/ 今年度ã®ã‚¨ãƒ³ãƒˆãƒªãƒ¼ã¯ç· ã‚切りã¾ã—㟠— よã†ã“ãï¼ ã“ã®ãƒšãƒ¼ã‚¸ã¯ã€ãƒãƒ¼ãƒãƒ¼ãƒ‰å¤§å¦ CS50 ã®æ—¥æœ¬èªžç‰ˆç¿»è¨³ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ãƒšãƒ¼ã‚¸ã§ã™ã€‚当サイトã®ãƒ‰ãƒ¡ã‚¤ãƒ³ã«æŽ²è¼‰ã•ã‚Œã¦ã„るコンテンツã¯ã€Cre
Requests-HTML: HTML Parsing for Humans (writing Python 3)! — requests-HTML v0.3.4 documentation
>>> r.html.links {'//docs.python.org/3/tutorial/', '/about/apps/', 'https://github.com/python/pythondotorg/issues', '/accounts/login/', '/dev/peps/', '/about/legal/', '//docs.python.org/3/tutorial/introduction.html#lists', '/download/alternatives', 'http://feedproxy.google.com/~r/PythonInsider/~3/kihd2DW98YY/python-370a4-is-available-for-testing.html', '/download/other/', '/downloads/windows/', 'h
Atom Flight Manual
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
ウェブアプリケーションフレームワーク Flask を使ã£ã¦ã¿ã‚‹ - Qiita
Ruby ã¯æŸ”軟ãªãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã§ã‚ã‚Š Sinatra ã®ã‚ˆã†ãªæ‰‹è»½ã§è»½é‡ãªã‚¦ã‚§ãƒ–アプリケーションフレームワークãŒã‚ã‚Šã¾ã™ã€‚ã„ã¾ã¾ã§åˆ†æžç”¨ã®è¨€èªžã¨ã—ã¦ä¸»ã« Python ã§çµ±è¨ˆã‚„データã®å¯è¦–化をãŠã“ãªã£ã¦ãã¾ã—ãŸãŒã€ã‚‚ã¡ã‚ã‚“ Python ã«ã‚‚多種多様ãªã‚¦ã‚§ãƒ–アプリケーションフレームワークãŒã‚ã‚Šã¾ã™ã€‚ 数値計算ãªã©ã‚’ Python ã§ãŠã“ãªã†ä»•çµ„ã¿ã‚’ウェブシステムã¨ã—ã¦æä¾›ã—ãŸã„å ´åˆã€ã‚ã–ã‚ã–別ã®è¨€èªžã‚’利用ã™ã‚‹ã‚ˆã‚Šã‚¦ã‚§ãƒ–ã®éƒ¨åˆ†ã‚‚åŒã˜è¨€èªžã§ä½œã£ã¦ã—ã¾ã£ãŸã»ã†ãŒä¸€è²«æ€§ãŒã‚ã‚Šã¾ã™ã€‚ ãã“ã§ä»Šå›žã¯ Flask ã¨ã„ㆠPython ã®å°è¦æ¨¡ãªãƒ•ãƒ¬ãƒ¼ãƒ ワークを利用ã—ã€ã”ãç°¡å˜ãªã‚¦ã‚§ãƒ–アプリケーションを作ã£ã¦ã¿ã¾ã™ã€‚ Flask ã«ã¯æ—¥æœ¬èªžè¨³ã•ã‚ŒãŸè¦ªåˆ‡ãªãƒ¦ãƒ¼ã‚¶ãƒ¼ã‚¬ã‚¤ãƒ‰ãŒã‚ã‚Šã¾ã™ã€‚ https://a2c.bitbucket.io/flask/ ã¨ã¦ã‚‚ä¸å¯§ã«æ›¸ã‹ã‚Œã¦ã„ã‚‹ã®ã§ã€åŸºæœ¬çš„ã«ã¯ã“ã®ãƒ‰ã‚ュメン
htmlPy · HTML5-CSS3-Javascript based GUI library in Python
htmlPy is a wrapper around PySide's QtWebKit library. It helps with creating beautiful GUIs using HTML5, CSS3 and Javascript for standalone Python applications. It is built on Qt which makes it highly customizable and cross-platform. htmlPy is compatible with both Python2 and Python3. It can be used with any python library or environment like django, flask, scipy, virtualenv etc. You can use front
Atom Flight Manual
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
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GitHub - google/styleguide: Style guides for Google-originated open-source projects
Every major open-source project has its own style guide: a set of conventions (sometimes arbitrary) about how to write code for that project. It is much easier to understand a large codebase when all the code in it is in a consistent style. “Style†covers a lot of ground, from “use camelCase for variable names†to “never use global variables†to “never use exceptions.†This project (google/stylegu
lxml - Processing XML and HTML with Python
lxml is the most feature-rich and easy-to-use library for processing XML and HTML in the Python language. Introduction The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt. It is unique in that it combines the speed and XML feature completeness of these libraries with the simplicity of a native Python API, mostly compatible but superior to the well-known ElementTree A
Jonas Wagner
C2PA Photo Forensics in Forensically I have added support for reading C2PA metadata to my photo forensics tool Forensically. C2PA is the Coalition for Content Provenance and Authenticity. In their own words: The Coalition for Content Provenance and Authenticity (C2PA) addresses the prevalence of misleading information online through the development of technical standards for certifying the source
Beautiful Soup: We called him Tortoise because he taught us.
You didn't write that awful page. You're just trying to get some data out of it. Beautiful Soup is here to help. Since 2004, it's been saving programmers hours or days of work on quick-turnaround screen scraping projects. Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. Three features make it powerful: Beautiful Soup provides a few simple methods and
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GitHub - psf/requests-html: Pythonic HTML Parsing for Humansâ„¢
https://dipikabansal.com/%E0%B8%97%E0%B8%94%E0%B8%A5%E0%B8%AD%E0%B8%87%E0%B9%80%E0%B8%A5%E0%B9%88%E0%B8%99/
GitHub - google/gumbo-parser: An HTML5 parsing library in pure C99
Welcome to Kajiki’s documentation! — Kajiki 0.4.0 documentation
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