python-mastery
ebook-1
| python-mastery | ebook-1 | |
|---|---|---|
| 7 | 1 | |
| 10,379 | 3,512 | |
| 1.5% | - | |
| 5.7 | 10.0 | |
| 3 months ago | over 8 years ago | |
| Python | ||
| Creative Commons Attribution Share Alike 4.0 | - |
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python-mastery
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Ask HN: Programming Courses for Experienced Coders?
I came here to mention Dave Beazley's courses and talks.
In particular, I recently prepped/ran a week-long, in-house training session of Dave's Python-Mastery[1] course at my day job. We had a group of 8 with a mix of junior and senior Software Engineers and while the juniors were generally able to follow along, it really benefited the senior SEs most. It covers the whole language in such depth and detail that you really feel like you've explored every nook and cranny by the time you're done.
[1] https://github.com/dabeaz-course/python-mastery/
(I enjoyed teaching the class so much that I've considered offering my services teaching it on a consulting basis to other orgs. If that interests anyone, feel free to reach out to the email in my profile.)
- Advanced Python Mastery
- Advanced Python Mastery – A Course by David Beazley
- is there a ruby equivalent of this?
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Ask HN: How can I get better at writing production-level Python?
Another great course is David Beazley's Advanced Python Mastery; he just put it all up on github (PDF of all slides + exercises) https://github.com/dabeaz-course/python-mastery
It's designed as a four-day workshop. Lots of material around 'mature' Python code
ebook-1
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Ask HN: Programming Courses for Experienced Coders?
Hello, recently I've enjoyed Casey Muratori's Performance-Aware Programming course[0]. You could read Algorithms for Modern Hardware[1] to learn similar set of stuff though. Casey's course is aimed at bringing beginners all the way to a nearly-industry-leading understanding of performance issues while the book assumes a bit more knowledge, but I think a lot of people have trouble getting into this stuff using a book if they don't have related experience.
I've also found Hacker's Delight Second Edition[2] to be a useful reference, and I really wish that I would get around to reading What Every Programmer Should Know About Memory[3] in full, because I end up reading a bunch of other things[4] to learn stuff that's surely in there.
[0]: https://www.computerenhance.com/p/welcome-to-the-performance...
[1]: https://en.algorithmica.org/hpc/
[2]: https://github.com/lancetw/ebook-1/blob/80eccb7f59bf102586ba...
[3]: https://people.freebsd.org/~lstewart/articles/cpumemory.pdf
[4]: https://danluu.com/3c-conflict/
What are some alternatives?
glom - ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
funcy - A fancy and practical functional tools
amh-code - Complete implementations from "Algorithms for Modern Hardware"
blog - David Beazley's blog.
example-code-2e - Example code for Fluent Python, 2nd edition (O'Reilly 2022)
curio - Good Curio!
Toolz - A functional standard library for Python.
attrs - Python Classes Without Boilerplate
ruff - An extremely fast Python linter and code formatter, written in Rust.
advent-of-code-jq - Solving Advent of Code with jq
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!