Pyrsistent
Toolz
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| Pyrsistent | Toolz | |
|---|---|---|
| 6 | 23 | |
| 1,977 | 4,508 | |
| - | 0.8% | |
| 7.2 | 4.2 | |
| 3 months ago | 28 days ago | |
| Python | Python | |
| MIT License | 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Pyrsistent
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Text Parsing: Now You Have Three Problems (David Beazley)
There are python libraries that implement Clojure style functional data types. Have you tried pyrsistent - https://github.com/tobgu/pyrsistent
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What are some amazing, great python external modules, libraries to explore?
Hissp is really interesting. Read through the docs and you'll understand Python more deeply. It works well with Toolz and Pyrsistent.
- When you discover deepcopy in python
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What is the proper way to create a new copy for list, dictionary, tuples, and array
This is normal for some functional languages, since by definition they should prohibit assignment and hence mutation. But you can also achieve a similar (not the same) effect in python, using libraries like pyrsistent (https://github.com/tobgu/pyrsistent/)
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Hello, HPy
It still is, and Cython is great for accelerating critical Python code.
A C extension is far preferable when you want to code in C, either to write a new data type[1], or write a Python frontend to a C library[2] that is too complex to be well supported by simple FFI.
I think people use Cython more internally when they value the maintainability of "mostly Python" over the fact that it's slower than what native C would get them.
[1]: https://github.com/tobgu/pyrsistent
[2]: https://github.com/libgit2/pygit2
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Toolz: A functional standard library for Python
There's Pyrsistent[1], which provides persistent data structures.
[1] https://github.com/tobgu/pyrsistent
Toolz
- Ask HN: How can I get better at writing production-level Python?
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[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
My favourite lib would probably be toolz, it's just so elegant and fun to use. But it's more functional approach is not always the best fit for the time, so in practice I mostly use it in research, prototyping, console and notebooks.
- REBL
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What are the best ways to learn Python and Pyspark for ML engineering?
I am not new to Python but only used it to write scripts. Should I start a Python book and then a PySpark book or go directly to PySpark? When reading the legacy code, I found there are usages like GitHub - pytoolz/toolz: A functional standard library for Python. I never heard of.
- Toolz: A Functional Standard Library For Python
- Functional python for data process
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Top python libraries/ frameworks that you suggest every one
toolz is wildly useful https://github.com/pytoolz/toolz
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Show HN: Koda, a Typesafe Functional Toolkit for Python
Maybe the toolz[0] family would cover your use cases? There is also a Cython implementation if you need better performance.
[0] https://github.com/pytoolz/toolz/
- What're the cleanest, most beautifully written projects in Github that are worth studying the code?
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Functional programming beyond itertools
You'll probably enjoy toolz.
What are some alternatives?
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
funcy - A fancy and practical functional tools
Coconut - Simple, elegant, Pythonic functional programming.
CyToolz - Cython implementation of Toolz: High performance functional utilities
Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
returns - Make your functions return something meaningful, typed, and safe!
effect - effect isolation in Python, to facilitate more purely functional code