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Python Bytes - A podcast by Michael Kennedy and Brian Okken - Lunedì

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Watch the live stream: Watch on YouTube About the show Sponsored by us: Check out the courses over at Talk Python And Brian’s book too! Special guest: Al Sweigart Brian #1: just From a tweet by Jeff Triplett “just is a handy way to save and run project-specific commands. Commands, called recipes, are stored in a file called justfile with syntax inspired by make Just is a command runner, not a build system, so it avoids much of Make’s complexity and idiosyncrasies. No need for .PHONY recipes! Linux, MacOS, and Windows are supported with no additional dependencies.” It’s written in Rust. My favorite differences: a couple spaces is fine, no need for tabs Recipes can accept command line arguments Recipes can be listed from the command line. Recipes can be written in arbitrary languages, like Python hello: echo "Hello World!" pyhello: #!/usr/bin/env python3 print('Hello from python!') Michael #2: Strong Typing via Roman Right (Beanie) Decorator which checks whether the function is called with the correct type of parameters. Decorator which checks at Runtime whether the function is called with the correct type of parameters. Raises TypeMisMatch if the used parameters in a function call where invalid. Al #3: New book: “The Big Book of Small Python Projects” New book: “Beyond the Basic Stuff with Python” Brian #4: testbook Suggested by David Nicholson Write conventional unit tests for Jupyter Notebooks Execute all or some specific cells before unit test Share kernel context across multiple tests (using pytest fixtures) Support for patching objects Inject code into Jupyter notebooks Works with any unit testing library, unittest, pytest, etc. example foo.ipynb: def foo(a, b): return a + b test_foo.py: from testbook import testbook @testbook('foo.ipynb', execute=True) def test_foo(tb): foo = tb.ref("foo") assert foo(1, 2) == 3 Michael #5: auto-all Automatically manage the __all__ variable in Python modules. Easily populate the __all__ variable in modules. Easily exclude imported objects Clearly differentiate between internal and external facing objects. Use simple, intuitive code. Never worry about forgetting to add new objects to __all__. Help Python IDE's differentiate between internal and external facing objects. Can use “regions” via start_all() and end_all() I prefer the decorator (functions only, seems ripe for a PR for classes) @public def a_public_function(): pass Al #6: Next book: Untitled Recursion Book Extras Michael: OhMyPosh + auto env A scalable method of determining physiological endotypes of sleep apnea from a polysomnographic sleep study Email, inbox woes, and catching up Microsoft unveils Windows 365 Facebook and its advertisers are ‘panicking’ as the majority of iPhone users opt out of tracking Al GitHub repo for PyAutoGUI

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