#134: Python proves Mercury is the closest planet to Earth
Sponsored by DigitalOcean: pythonbytes.fm/digitalocean
contributed by, and explained by, listener Andrew Diederich.
“This is from the March 19th, 2019 Strange Maps article. Which planet is, on average, closest to the Earth? Answer: Mercury. Actually, Mercury is, on average, the closest to all other planets, because it’s closest to the sun.”
Michael #2: Github semantics
- Parsing, analyzing, and comparing source code across many languages
- Written in a Haskell, it’s a library and command line tool for parsing, analyzing, and comparing source code.
- It’s still early days yet, but semantic can do a lot of cool things, and is powering public-facing GitHub features. I’m tremendously excited as to see how it’ll evolve now that it’s a community-facing project.
- here are some cool things inside it:
- A flow-sensitive, caching, generalized interpreter for imperative languages
- An abstract interpreter that generates scope graphs for a given program text
- A strategic rewriting system based on recursion schemes for open syntax terms
Brian #3: flake8-black
- Contributed by Nathan Clayton
- “The point of this plugin is to be able to run
black --check ...from within the flake8 plugin ecosystem.”
- I like to run flake8 during development both to keep things neat, and to train myself to just write code in a more standard way. This is a way to run
blackwith no surprises.
- You write Python code (script style mostly), it creates an object-visualization
- Think of a picture your first year C++ CS prof might draw. This extension does that automatically as you write Python code
- Looks to be based (conceptually) on Philip Guo’s Python Tutor site.
- John Franey
- Walks through creating a package, customizing the
pyproject.toml, and talks about the different settings in the toml and what it means.
- Then using the testpypi, and finally publish.
Michael #6: Pointers in Python: What's the Point?
- by Logan Jones
- Quick question: Does Python have pointers (outside of C-extensions, etc of course)?
- Yet Python is more pointer heavy than most languages (more so than C# more so than even C++)!
- In Python, everything is an object, even numbers and booleans.
- Each object contains at least three pieces of data:
- Reference count
- Check that you have the same object
- Python variables are pointers, just safe ones.
- Interesting little tidbit from the article:
- Interning strings is useful to gain a little performance on dictionary lookup—if the keys in a dictionary are interned, and the lookup key is interned, the key comparisons (after hashing) can be done by a pointer compare instead of a string compare. (Source)
- But like we have inline-assembly in C++ and unsafe mode in C#, we can use pointers in Cython or more fine-grained with ctypes.
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- “Contributions help fund workshops, conferences, pay meetup fees, support fiscal sponsorships, PyCon financial aid, and development sprints. ”
via Jay Miller
What did the developer name his newborn boy? JSON