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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
  • async
  • 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 YOUR_CMD
• or termshot --show-cmd -- python program.py
• Even termshot /bin/zsh for 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.

Extras

Michael:

• Python 3.11.0 beta 1 is out
  • Test with GitHub Actions against Python 3.11

Joke:Finding my family