phpinspectionsea
black
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phpinspectionsea | black | |
---|---|---|
5 | 314 | |
1,416 | 35,547 | |
- | 3.9% | |
0.0 | 9.3 | |
7 months ago | 6 days ago | |
Java | Python | |
GNU General Public License v3.0 or later | 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.
phpinspectionsea
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PHP RFC: Deprecations for PHP 8.3
(I actually held the same opinion as you until recently: https://github.com/kalessil/phpinspectionsea/issues/1718 tl;dr the performance impact is negligible)
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7 Laravel Packages to Improve Coding Standards and Reduce Bugs
PHP Inspections is a static code analyzer and code review tool for PhpStorm IDE.
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What are those micro-optimizations that you can't forget?
The PHP-EA Extended static analysis plugin for PHPStorm has a number of Performance rules which has some of the same items as this list, although they're not all in the performance category, the single quotes inspection is under code style.
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Ask HN: What are some “10x” softiware product innovations you have experienced?
PHP Inspections (EA Extended)[1] by Vladimir Reznichenko, a PHP language static analysis plugin for PHPStorm / JetBrains. I've coded in PHP for many years now, but there are many helpful reminders and checks that come standard with it. Some of the small performance quirks are game changers in long running processes, or intensive methods.
black
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Releasing my Python Project
1. LICENSE: This file contains information about the rights and permissions granted to users regarding the use, modification, distribution, and sharing of the software. I already had an MIT License in my project. 2. pyproject.toml: It is a configuration file typically used for specifying build requirements and backend build systems for Python projects. I was already using this file for Black code formatter configuration. 3. README.md: Used as a documentation file for your project, typically includes project overview, installation instructions and optionally, contribution instructions. 4. example_package_YOUR_USERNAME_HERE: One big change I had to face was restructuring my project, essentially packaging all files in this directory. The name of this directory should be what you want to name your package and shoud not conflict with any of the existing packages. Of course, since its a Python Package, it needs to have an __init__.py. 5. tests/: This is where you put all your unit and integration tests, I think its optional as not all projects will have tests. The rest of the project remains as is.
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Lute v3 - installed software for learning foreign languages through reading
using pylint and black ("the uncompromising code formatter")
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Testing Python Code Using UnitTest
It was with this test that I made that I was able to test my parse_md function, previously called check_md_and_write, and locate a bug that I uncovered a last week. I noticed this bug when I was using the linter, Ruff, and formatter, Black, I set up for my project. If you're interested in reading about the linter and formatter I chose and the setup process you can read last week's blog. Essentially the problem was that I could not parse any Markdown in my program. I wasn't sure what the problem was, but I think it had something to do with when I refactored my code and tried to clean things up. Luckily, I still has the branches where I worked on improved the function to parse markdown and the refactoring branch. To make note of it, I made an issue for myself and specified which branches to take a look at.
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FastAPI Production Setup Guide 🏁⚡️🚀
Whenever I start a new project I like to maintain quality standards and using automated quality tools makes it easy. Lets go ahead and install mypy for static type checking, black for formatting, and ruff for linting. Add these to the dev dependencies.
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Django Code Formatting and Linting Made Easy: A Step-by-Step Pre-commit Hook Tutorial
Black is a Python code formatter that automatically formats Python code to comply with its style guide called PEP 8. PEP 8 is the official style guide for Python code, and it provides recommendations on how to format code for better readability and consistency.
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Packaging Python projects in 2023 from scratch
Uses a uniform line width of 100 for both black (my preferred auto-formatter) and flake8.
- Automate Python Linting and Code Style Enforcement with Ruff and GitHub Actions
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Setting Up Pre-Commit Hooks in GitHub: Ensuring Code Quality and Consistency
repos: - repo: https://github.com/psf/black rev: hooks: - id: black
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Conversion from the f-string literals to format method in python
In addition, you should use black or shed (uses black and other tools)
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Visual Selection Range Formatting Support for Python files using black formatter
Btw there are tools to do this already but you should also read the reasoning here: https://github.com/psf/black/issues/134
What are some alternatives?
autopep8 - A tool that automatically formats Python code to conform to the PEP 8 style guide.
prettier - Prettier is an opinionated code formatter.
yapf - A formatter for Python files
Pylint - It's not just a linter that annoys you!
ruff - An extremely fast Python linter and code formatter, written in Rust.
isort - A Python utility / library to sort imports.
Flake8 - flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.
autoflake - Removes unused imports and unused variables as reported by pyflakes
pycodestyle - Simple Python style checker in one Python file
mypy - Optional static typing for Python
google-java-format - Reformats Java source code to comply with Google Java Style.
awesome-python-typing - Collection of awesome Python types, stubs, plugins, and tools to work with them.