python-mastery
nanobind
| python-mastery | nanobind | |
|---|---|---|
| 7 | 11 | |
| 10,379 | 2,071 | |
| 1.5% | - | |
| 5.7 | 9.6 | |
| 3 months ago | 12 days ago | |
| Python | C++ | |
| Creative Commons Attribution Share Alike 4.0 | BSD 3-clause "New" or "Revised" License |
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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
nanobind
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Progress on No-GIL CPython
Take a look at https://github.com/wjakob/nanobind
> More concretely, benchmarks show up to ~4× faster compile time, ~5× smaller binaries, and ~10× lower runtime overheads compared to pybind11.
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Advanced Python Mastery – A Course by David Beazley
People should not take that an endorsement of Swig.
Please use ctypes, cffi or https://github.com/wjakob/nanobind
Beazley himself is amazed that it (Swig) is still in use.
- Swig – Connect C/C++ programs with high-level programming languages
- Nanobind: Tiny and efficient C++/Python bindings
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Create Python bindings for my C++ code with PyBind11
Nanobind made by the creator of PyBind11, it has a similar interface, but it takes leverage of C++17 and it aims to have more efficient bindings in space and speed.
- Nanobind – Seamless operability between C++17 and Python
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Cython Is 20
I would recommend using NanoBind, the follow up of PyBind11 by the same author (Wensel Jakob), and move as much performance critical code to C or C++. https://github.com/wjakob/nanobind
If you really care about performance called from Python, consider something like NVIDIA Warp (Preview). Warp jits and runs your code on CUDA or CPU. Although Warp targets physics simulation, geometry processing, and procedural animation, it can be used for other tasks as well. https://github.com/NVIDIA/warp
Jax is another option, by Google, jitting and vectorizing code for TPU, GPU or CPU. https://github.com/google/jax
- GitHub - wjakob/nanobind: nanobind — Seamless operability between C++17 and Python
What are some alternatives?
glom - ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
pybind11 - Seamless operability between C++11 and Python
funcy - A fancy and practical functional tools
awesome-cython - A curated list of awesome Cython resources. Just a draft for now.
blog - David Beazley's blog.
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
example-code-2e - Example code for Fluent Python, 2nd edition (O'Reilly 2022)
matplotlibcpp17 - Alternative to matplotlibcpp with better syntax, based on pybind
curio - Good Curio!
epython - EPython is a typed-subset of the Python for extending the language new builtin types and methods
Toolz - A functional standard library for Python.
avendish - declarative polyamorous cross-system intermedia objects