Deal
Pyrsistent
Our great sponsors
Deal | Pyrsistent | |
---|---|---|
9 | 6 | |
690 | 1,977 | |
4.3% | - | |
4.7 | 7.2 | |
about 1 month ago | 3 months ago | |
Python | Python | |
MIT License | MIT License |
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.
Deal
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What features would you want in a new programming language?
I started using a design by contract library for a Python project this year and it made my code safer and easier to use.
- deal: Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
- GitHub - life4/deal: Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
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Design By Contract
Have you used Design by Contract in Python projects before? I know that it isn't a first class feature of the language but I see some libraries out there (this one seems potentially promising). Just wondering what the pros and cons are when it comes to gluing DBC onto Python and if anyone can give a yea or nay to it.
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Make tests a part of your app
deal is a library for Design-by-Contract.
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
What are some alternatives?
returns - Make your functions return something meaningful, typed, and safe!
Toolz - A functional standard library for Python.
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.
classes - Smart, pythonic, ad-hoc, typed polymorphism for Python
CyToolz - Cython implementation of Toolz: High performance functional utilities
effect - effect isolation in Python, to facilitate more purely functional code