Links¶
Todo
Sort these by topic and target audience
Transforming Code into Beautiful, Idiomatic Python. Raymond Hettinger, reiterating his favorite phrase: “There must be a better way”. (Hettinger is a “Python Core Developer”.)
Python Tutorial: Duck Typing and Asking Forgiveness, Not Permission (EAFP). Corey Schafer about Duck Typing, and the word Pythonic. Corey Schafer has a number of very good Tutorials; he manages to keep those short and to the point, and rarely exceeds 15 minutes.
Python Tutorial: Unit Testing Your Code with the unittest Module. Our project was guided by unit tests; here’s Corey Schafer about the
unittestmodule.Python Tutorial: Decorators - Dynamically Alter The Functionality Of Your Functions. Corey Schafer about decorators. Mine was better :-)
Built in Super Heroes. David Beazley in an entertaining keynote to the “PyData Chicago 2016” conference. He has a number of very good and entertaining (and very advanced) videos. You have to spend an entire evening with him though.
Concurrency: Raymond Hettinger covering most if not all aspects and possiblities of concurrency. Very informative, very concise, covering
Multithreading
Multiprocessing
Async; I didn’t even mention that. asyncio. Me big fan.
Understanding the Python GIL: David Beazley dissecting the Global Interpreter Lock, explaining why multiprocessing is better. At around minute 45, in the questions/answers, there a mention that using NumPy operations in multiple threads is truly parallel.
Modules and Packages. David Beazley has a three hour (!) really cool and in-depth look into the seemingly simple
importmechanism.Virtual Environments Tutorial: Corey Schafer again. Virtual environments are kind of an isolated development sandbox, solving a similar problem as containers do, but much more lightweight and Python only.
Packaging, Deployment, PyPI, and pip: Chris Wilcox (of Google) talking about packaging and deployment, and related topics
Generators: The Final Frontier: David Beazley, again a bit (a whopping four hours) more precise on that topic.
NumPy Tutorial: Keith Galli has a number of good data science tutorials.