data_engineering_project_template
Flake8
data_engineering_project_template | Flake8 | |
---|---|---|
3 | 33 | |
176 | 3,263 | |
- | 0.8% | |
2.2 | 7.3 | |
10 months ago | 3 days ago | |
HCL | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
data_engineering_project_template
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Cloud services for small projects?
SCPs your code into EC2
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Data engineering projects with template: Airflow, dbt, Docker, Terraform (IAC), Github actions (CI/CD) & more
Docker is used to containerize your application. For e.g. this Dockerfile is used to create a container and it specifies what OS it is, etc. You can run docker on any machine and you can think of it as running a separate os (not exactly, but close enough) on the machine. What Docker provides is the ability to replicate OS & its packages (e.g. python modules) across machines so that you don't run into "hey that worked on my computer" type issues.
Flake8
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To Review or Not to Review: The Debate on Mandatory Code Reviews
Automating code checks with static code analysis allows us to enforce code styling effectively. By integrating tools into our workflow, we can identify errors at an early stage, while coding instead of blocking us at the end. For instance, flake8 checks Python code for style and errors, eslint performs similar checks for JavaScript, and prettier automatically formats code to maintain consistency.
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Enhance Your Project Quality with These Top Python Libraries
Flake8. This library is a wrapper around pycodestyle (PEP8), pyflakes, and Ned Batchelder’s McCabe script. It is a great toolkit for checking your code base against coding style (PEP8), programming errors (like SyntaxError, NameError, etc) and to check cyclomatic complexity.
- Django Code Formatting and Linting Made Easy: A Step-by-Step Pre-commit Hook Tutorial
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Enhancing Python Code Quality: A Comprehensive Guide to Linting with Ruff
Flake8 combines the functionalities of the PyFlakes, pycodestyle, and McCabe libraries. It provides a streamlined approach to code linting by detecting coding errors, enforcing style conventions, and measuring code complexity.
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Which is your favourite or go-to YouTube channel for being up-to-date on Python?
He made yesqa and pyupgrade (among others), and also works on flake8. His main job is for https://sentry.io/.
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The Power of Pre-Commit for Python Developers: Tips and Best Practices
repos: - repo: https://github.com/psf/black rev: 21.7b0 hooks: - id: black language_version: python3.8 - repo: https://github.com/PyCQA/flake8 rev: 3.9.2 hooks: - id: flake8
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Is it considered rude to completely change the formatting of someone else's code when making a PR?
https://github.com/psf/black it’s a PEP8 compliant formatter for Python codebases. If you don’t like auto formatting files you can use https://github.com/PyCQA/flake8 it just lists out all of the style issues so you can fix them manually.
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Ruff: one Python linter to rule them all
I have no stake in that, but my observation is that the actual discussion appears to have both supporters and detractors rather than overwhelming support. Either way, it has nothing to do with whether or not it is realistic to say that Ruff is the "one Python linter to rule them all".
- Improve your Django Code with pre-commit
What are some alternatives?
public-api-lists - A collective list of free APIs for use in software and web development 🚀
Pylint - It's not just a linter that annoys you!
Docker Compose - Define and run multi-container applications with Docker
black - The uncompromising Python code formatter [Moved to: https://github.com/psf/black]
black - The uncompromising Python code formatter
autopep8 - A tool that automatically formats Python code to conform to the PEP 8 style guide.
isort - A Python utility / library to sort imports.
pylama - Code audit tool for python.
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
autoflake - Removes unused imports and unused variables as reported by pyflakes
prospector - Inspects Python source files and provides information about type and location of classes, methods etc