flask-parameter-validation
Deal
flask-parameter-validation | Deal | |
---|---|---|
3 | 9 | |
29 | 691 | |
- | 3.0% | |
8.7 | 6.4 | |
2 months ago | about 1 month ago | |
Python | Python | |
- | MIT License |
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flask-parameter-validation
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.
What are some alternatives?
typeshed - Collection of library stubs for Python, with static types
returns - Make your functions return something meaningful, typed, and safe!
webargs - A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.
Pyrsistent - Persistent/Immutable/Functional data structures for Python
pytype - A static type analyzer for Python code
Toolz - A functional standard library for Python.
typing - Python static typing home. Hosts the documentation and a user help forum.
funcy - A fancy and practical functional tools
mypy - Optional static typing for Python
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
classes - Smart, pythonic, ad-hoc, typed polymorphism for Python
CyToolz - Cython implementation of Toolz: High performance functional utilities