public-api-lists VS Flake8

I have a few e2e projects, if that might help. While they can be deployed to AWS via the included terraform file (costs money) you can run them locally with docker. I list the projects from simplest to more complicated 1. I’d recommend starting at https://www.startdataengineering.com/post/data-engineering-project-to-impress-hiring-managers/ this is the simplest. 2. Once you have it running, and get an overview of the components( docker, ec2, Postgres), then I’d recommend looking at this article https://www.startdataengineering.com/post/data-engineering-projects-with-free-template/ to understand how the components work together. 3. Try out the pipeline with a data source if your choosing. I use https://github.com/public-api-lists/public-api-lists to get some data API. 4. Once you get a good understanding of how data is pulled and loaded along with how it’s scheduled, then I’d recommend looking at this airflow project https://www.startdataengineering.com/post/data-engineering-project-for-beginners-batch-edition/ I posted about this a while back https://www.reddit.com/r/dataengineering/comments/ygieh8/data\_engineering\_projects\_with\_template\_airflow/ Hope this helps. LMK if you have any questions.

And then try out the pipeline with a data source if your choosing. I use https://github.com/public-api-lists/public-api-lists to get some data API.

Suggest to take a look through https://github.com/public-api-lists/public-api-lists

Sounds like you're stuck in tutorial purgatory. It's time to drop the training wheels and apply the knowledge you've learned to some personal projects. Pickup pygame, or build a web scraper. Here's a list of free public api's. This might get you started. https://github.com/public-api-lists/public-api-lists

Public-api-lists (fork of original one I linked)

public-api-lists Another great repository to find good APIs for development. It has more than 4K stars on GitHub. These APIs are more inclined towards the development side. It is also organized into suitable categories.

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.

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.

He made yesqa and pyupgrade (among others), and also works on flake8. His main job is for https://sentry.io/.

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

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.

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".

https://github.com/PyCQA/flake8/issues/234