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Home > Python Bytes > #270 Can errors really be beautiful?


	Podcast:		Python Bytes
	Episode:		#270 Can errors really be beautiful?
	Category:		Technology
	Duration:		00:47:25
	Publish Date:		2022-02-10 08:00:00
	Description:		Watch the live stream: Watch on YouTube About the show Sponsored by Datadog: pythonbytes.fm/datadog Special guest: Dean Langsam Brian #1: A Better Pygame Mainloop Glyph Doing some game programming is a great way to work on coding for early devs (and experienced devs). pygame is a popular package for writing games in Python But… the normal example of a main loop, which listens for events and dispatches actions based on events, has some problems: it’s got a `while 1:` that wastes power, too much busy waiting looks bad, due to “screen tearing” which is writing to a screen while your in the middle of drawing it This post discusses the problems, and walks through to an async main loop that creates a better gaming experience. Michael #2: awesome sqlalchemy A few notable ones SQLAlchemy-Continuum: Versioning and auditing extension for SQLAlchemy. SQLAlchemy-Utc: SQLAlchemy type to store aware `datetime.datetime` values. SQLAlchemy-Utils: Various utility functions, new data types and helpers for SQLAlchemy filedepot: DEPOT is a framework for easily storing and serving files in web applications. SQLAlchemy-ImageAttach: SQLAlchemy-ImageAttach is a SQLAlchemy extension for attaching images to entity objects. SQLAlchemy-Searchable: Full-text searchable models for SQLAlchemy. sqlalchemy_schemadisplay: This module generates images from SQLAlchemy models. Can we also get a shoutout to SQLModel? Dean #3: ThreadPoolExecutor in Python: The Complete Guide Long, but worth it (80-120 minutes). Could be consumed in parts. It’s mostly a collection of other blogposts on superfastpython Many examples LifeCycle Usage patterns Map and was as_completed vs sequentially callbacks IO-Bound vs CPU-bound Common Questions Comparison vs. ProcessPoolExecutor vs. threading.Thread vs. AsyncIO Brian #4: Chaining comparison operators Rodrigo Girão Serrão I use chained expressions all the time, mostly with ranges: `min <= x <= max`, which is like `(min <=x) and (x <= max)` There are lots of chained expressions available, and some not so obvious. `a == b == c` all are equal, no prob what abut `a != b != c` ? This actually can return `True` if `a == c` Lots of other issues with chaining discussed in the article, like non-constant expressions and side effects Michael #5: Create Beautiful Tracebacks with Python’s Exception Hooks `def exception_hook(exc_type, exc_value, tb): ... sys.excepthook = exception_hook` Libraries rich.traceback better-exceptions Pretty Errors IPython.core.ultratb stackprinter Dean#6: Ways I Use Testing as a Data Scientist The importance of knowing what to test for using `assert` in code on ad-hoc things. Do it while coding. Us numpy `np.isclose` to test “almost equal” on entire arrays. also `[assert_frame_equal](https://pandas.pydata.org/docs/reference/api/pandas.testing.assert_frame_equal.html)` Use hypothesis for bombarding the function with smart tests. Pandera and Great Expectations tests are documentation! Work with Arrange-Act-Assert Even if we’re not sure what to assert, writing a test that executes the code is still valuable. Extras Dean: Deprecate urllib out of stdlib? IPython 8 is out It’s less code! 37,500 LOC across 348 files → 36,100 across 294 files “I’m sorry I wrote you such a long letter. I didn’t have time to write you a short one.” – Blaise Pascal This was all done thanks to a developer hired through Small Development Grants coloring exceptions Michael: Python Shorts New videos Beyond the List Comprehension Combining dictionaries, the Python 3.10 way `/` on pypi.org Joke: Spelling
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