Pyrsistent
hissp
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| Pyrsistent | hissp | |
|---|---|---|
| 6 | 29 | |
| 1,980 | 331 | |
| - | - | |
| 7.2 | 9.1 | |
| 3 months ago | 3 months ago | |
| Python | Python | |
| MIT License | Apache 2.0 |
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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.
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
hissp
- Hissp
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2 line tic tac toe
Hissp is a Python library that can compile a whole program into one Python expression.
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What's the most hilarious use of operator overloading you've seen?
If you want Python to be as customizable as Lissp, check out Hissp (and Hebigo).
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Pythoneers here, what are some of the best python tricks you guys use when progrmming with python
Hissp is really cool for metaprogramming Python. There's also macropy, but it's harder to use.
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Lush – Lisp-like language for deep learning designed by Yann LeCun
I prefer https://github.com/gilch/hissp, where Hy has to use shims to pretend statements are expressions, Hissp just targets the expression subset in the first place. (though as you mentioned, hy has a lot of literature and support around it, where as you're going to have to find your own way around hissp)
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A Python-compatible statically typed language erg-lang/erg
No shortage of options, e.g. Dg, Mochi, Coconut, and Hebigo (based on Hissp[1]).
[1]: https://github.com/gilch/hissp
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Other than having a wider range of libraries and beingthus being more "general purpose" and "practical" is there anything that makes Python an intrinsically better programming language than Lisp?
If you want Lisp metaprogramming plus Python ecosystem, check out Hissp
- Lisp.py
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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.
- Why Hy?
What are some alternatives?
Toolz - A functional standard library for Python.
hy - A dialect of Lisp that's embedded in Python
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
hy-lisp-python - examples for my book "A Lisp Programmer Living in Python-Land: The Hy Programming Language"
funcy - A fancy and practical functional tools
libpython-clj - Python bindings for Clojure
Coconut - Simple, elegant, Pythonic functional programming.
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
CyToolz - Cython implementation of Toolz: High performance functional utilities
femtolisp - a lightweight, robust, scheme-like lisp implementation
Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
incanter - Clojure-based, R-like statistical computing and graphics environment for the JVM