python-mastery
curio
| python-mastery | curio | |
|---|---|---|
| 7 | 3 | |
| 10,379 | 3,998 | |
| 1.5% | - | |
| 5.7 | 4.9 | |
| 3 months ago | about 1 month ago | |
| Python | Python | |
| Creative Commons Attribution Share Alike 4.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
curio
- Ask HN: How can I get better at writing production-level Python?
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Piper: A proposal for a graphy pipe-based build system
Graph re-computation frameworks are all the rage! You could whip something up using itertools and curio.
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asyncio and concurrent.futures
If you are doing heavy IO (1k or more tasks), then it makes sense to use asyncio. There is controversy over asyncio so there are alternatives, but they work fundamentally the same, just with different interfaces. Some argue that you're better off with curio or gevent (my preference).
What are some alternatives?
glom - ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
trio - Trio – a friendly Python library for async concurrency and I/O
funcy - A fancy and practical functional tools
asyncio
blog - David Beazley's blog.
uvloop - Ultra fast asyncio event loop.
example-code-2e - Example code for Fluent Python, 2nd edition (O'Reilly 2022)
Twisted - Event-driven networking engine written in Python.
Toolz - A functional standard library for Python.
pyzmq - PyZMQ: Python bindings for zeromq
attrs - Python Classes Without Boilerplate
pulsar