python-cheatsheet
sportsipy
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python-cheatsheet | sportsipy | |
---|---|---|
10 | 3 | |
35,404 | 472 | |
- | - | |
9.0 | 0.0 | |
8 days ago | 5 months ago | |
Python | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
python-cheatsheet
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Python Cheatsheet
- Comprehensive Python “Cheatsheet”
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This Week in Python
python-cheatsheet – Comprehensive Python Cheatsheet
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Java, C, C++ and Python cheat sheets
I like this one on GitHub for Python: https://github.com/gto76/python-cheatsheet
- Comprehensive Python Cheatsheet - It's HUGE
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sportsipy
- I’ve been struggling with organizing projects and utilizing classes so I’ve been looking for public projects I can study
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Some data exports to xlsx, other data does not
Unfortunately I don't think you're doing anything wrong, I think the sportsipy package is just a wee bit broken. There's a bunch of related (ongoing) issues on the repo about Boxscore failing to pull data from sports-reference.
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Is there any baseball website that won't get pissed at me scraping it often?
I have used this for my own projects: https://github.com/roclark/sportsipy
What are some alternatives?
perflint - Python Linter for performance anti patterns
lazystream - Easily get LazyMan stream links, output directly or to m3u / xmltv formats. Streams can also be recorded or casted.
UltraDict - Sychronized, streaming Python dictionary that uses shared memory as a backend
hoopR - An R package to quickly obtain clean and tidy men's basketball play by play data.
gdscript-docs-maker - Create documentation and class references from your Godot GDScript code
Basketball_Analytics - Repository which contains various scripts and work with various basketball statistics
programming-with-ada - A guide for learning about the Ada Programming Language.
krita-plugin-reference - A temporary Reference Docker for Krita 4.0.0
recommenders - Best Practices on Recommendation Systems
pydfs-lineup-optimizer - Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
py-dynacli - DynaCLI is a cloud-friendly Python library for converting pure Python functions into Linux Shell commands.
kodi-gamepass - NFL Game Pass add-on for Kodi