#283: The sports episode
Published Thu, May 12, 2022, recorded Tue, May 10, 2022
About the show
Sponsored: RedHat: Compiler Podcast
Special guest: Tonya Sims
Michael #1: Pathy: a Path interface for local and cloud bucket storage
- via Spencer
- Pathy is a python package (with type annotations) for working with Cloud Bucket storage providers using a pathlib interface.
- It provides an easy-to-use API bundled with a CLI app for basic file operations between local files and remote buckets.
- It enables a smooth developer experience by letting developers work against the local file system during development and only switch over to live APIs for deployment.
- Also has optional local file caching.
- From Spenser
- The really cool function is "Pathy.fluid" which can take any type of local, GCS, or S3 path string and then just give you back a Path object that you can interact with agnostic of what platform it was. So this has worked amazingly for me in local testing since i can just change the file path from the "s3://bucket/path" that i use in prod to a local "test_dir/path" and it works automatically.
Brian #2: Robyn
- “Robyn is a fast, high-performance Python web framework with a Rust runtime.”
- Hello, Robyn! - intro article
- docs, repo
- Neat things
- doesn’t need WSGI or ASGI
- very Flask-like
- Early, so still needs some TLC
- docs, etc. getting started and demo apps would be good.
Tonya #3: Python package 'nba_api' is a package to access data for NBA.com
- This package is maintained by Swar Patel
- API Client package for NBA.com, more accessible endpoints, and better documentation
- The NBA.com API's are not well documented and change frequently (player traded, injured, retired, points per game, stats, etc)
- The nba_api package has tons of features:
- The nba_api starts with static data on players and teams (Full name, team name, etc). Each player and Team has an id.
- Can get game data from the playergamelog API endpoint
- The package also has many different API endpoints that it can hit by passing in features from the static data to the API endpoints as parameters
Michael #4: Termshot
- From Jay Miller
- Creates screenshots based on terminal command output
- Just run
termshot --show-cmd -- python program.py
termshot /bin/zshfor full interactive “recording”
- Example I made:
Brian #5: When Python can’t thread: a deep-dive into the GIL’s impact
- Itamar Turner-Trauring
- Building a mental model of the GIL using profiler graphs of simple two thread applications.
- The graphs really help a lot to see when the CPU is active or waiting on each thread.
Tonya #6: Sportsipy: A free sports API written for python
- Free python API that pulls the stats from www.sports-reference.com
- sports-reference.com - great website for getting sports stats for professional sports(NBA, NFL, NHL, MLB, college sports)
- Looks like an HTML website for the 90s - great for scraping (email site owners)
- You can get API queries for every sport (North American sports) like the list of teams for that sport, the date and time of a game, the total number of wins for a team during the season, and many more team-related metrics.
- You can also get stats from players and box scores - so you can build cool stuff around how a team performed during a game or during a season.
Joke: Finding my family