awesome-flake8-extensions
python-patterns
awesome-flake8-extensions | python-patterns | |
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4 | 31 | |
1,193 | 39,439 | |
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6.4 | 0.0 | |
about 1 month ago | 27 days ago | |
Python | ||
GNU General Public License v3.0 or later | - |
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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.
awesome-flake8-extensions
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Ultimately we want to test our code with Flake8 and plugins to enforce a more consistent code style and to encourage best practices. When you first introduce flake8 or a new plug-in commonly you have a lot of violations that you can silence with a #noqa comment. When you first introduce a new flake8 plugin, you will likely have a lot of violations, which you silence with #noqa comments. Over time these comments will become obsolete because you fixed the. yesqa will automatically remove these unnecessary #noqa comments.
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Python toolkits
flake8 for linting along with following plugin (list of awesome plugin can be found here, but me and my teammates have selected the below one. Have linting but don't make it too hard.) flake8-black which uses black for code formatting check. flake8-isort which uses isort for separation of import in section and formatting them alphabetically. flake8-bandit which uses bandit for security linting. flake8-bugbear for finding likely bugs and design problems in your program. flake8-bugbear - Finding likely bugs and design problems in your program. pep8-naming for checking the PEP-8 naming conventions. mccabe for Ned’s script to check McCabe complexity flake8-comprehensions for writing better list/set/dict comprehensions.
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Write better Python - with some help!
In addition to this out of the box -linting, there are loads of flake8 extensions that can help you with for example switching from .format() to using f-strings or checking that your naming follows the PEP8 guidelines. For example, adding flake8-length adds line length checking to the linting.
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Standards to be aware of
And if you're using flake8, make sure to check out its plugins. Here's a good list: https://github.com/DmytroLitvinov/awesome-flake8-extensions
python-patterns
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Any good resource on design patterns with examples in Python?
GitHub: Collection of design patterns and idioms
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Python Patterns
- How to improve design
- How to design Python scripts for sensitivity analysis of portfolios?
- They still scare me
- Out of curiosity: what is the python project structure you usually go gor?
- For those of you in industry, are there any resources that discuss best practices and whatnot?
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100+ Must Know Github Repositories For Any Programmer
4. Python Patterns
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Python toolkits
Your post has so many good elements that I've saved them for study and prompted feedback about the applications in Natural Language Processing and ML in Finance/BioTech. Most of my work lately has been NLP analysis research so devops and other GOF software concepts in your repo https://github.com/faif/python-patterns has been challenging.
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[Free Resource] Python Design Patterns
GitHub: Collection of design patterns and idioms
What are some alternatives?
black - The uncompromising Python code formatter
PyPattyrn - A simple library for implementing common design patterns.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
TheAlgorithms - All Algorithms implemented in Python
unimport - :rocket: The ultimate linter and formatter for removing unused import statements in your code. [Moved to: https://github.com/hakancelikdev/unimport]
sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
pep8-naming - Naming Convention checker for Python
algorithms
pyre-check - Performant type-checking for python.
more-itertools - More routines for operating on iterables, beyond itertools
flakes - list of flake8 plugins and their codes
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.