black VS Travis CI.com

$ git commit -m "add pre-commit configuration" [INFO] Initializing environment for https://github.com/psf/black. [INFO] Installing environment for https://github.com/psf/black. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... black................................................(no files to check)Skipped [main 6e21eab] add pre-commit configuration 1 file changed, 7 insertions(+)

Black: Known as “The Uncompromising Code Formatter”, Black automatically formats your Python code to conform to the PEP 8 style guide. It takes away the hassle of having to manually adjust your code style.

black @ git+https://github.com/psf/black

In the realm of Python development, there is a multitude of code formatters that adhere to PEP 8 guidelines. Today, we will briefly discuss how to install and utilize black.

Perfect, that worked, thank you!

I thought this could be solved by changing the directory to src/ and then executing that command, but this didn't work.

This also seems to be an issue with the web app, e.g. the repository for the formatter black is only one white dot https://dep-tree-explorer.vercel.app/api?repo=https://github...

Ruff is not only much faster, but it is also very convenient to have an all-in-one solution that replaces multiple other widely used tools: Flake8 (linter), isort (imports sorting), Black (code formatter), autoflake, many Flake8 plugins and more. And it has drop-in parity with these tools, so it is really straightforward to migrate from them to Ruff.

What I am looking for is something like Black for Python, which is opinionated, with reasonable defaults, and auto-fixes most/all issues.

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.

using pylint and black ("the uncompromising code formatter")

Travis CI: This hosted CI/CD service can seamlessly integrate with code hosting platforms like GitHub.

TRAVIS: With the help of Travis CI, you can easily synchronize your GITHUB projects. Travis offers more language support than circleCI and also you can run test on linux and mac OS at the same time. For more info: https://travis-ci.org/

Automation is a critical tool for improving DevOps efficiency. Many cloud platforms offer enhanced automation solutions for DevOps activities, such as CI/CD. CircleCI, Jenkins, GitLab, and Travis CI are all examples of such tools used for continuous integration. These technologies provide uniformity and speed while requiring minimal human intervention.

And finally, the engineers need to be able to easily deploy to Kubernetes, which can either be done with the same tools or with specialized CI/CD tools, such as Jenkins, Circle CI, or Travis CI.

To deploy an application to production, more complex continuous integration and deployment solutions exist. Since Kubernetes is so common now that almost all CI/CD tools support it, it does not really matter if these solutions are particularly specialized on Kubernetes or not. You should rather compare different solutions again and see which best fits your needs. A good starting point are these tools: Jenkins, Codefresh, Travis CI, and Circle CI.

And it became quite a good conversation like, well, I wish that it would also update my GitHub Actions tree because of my Travis CI tree because I wish it did this, I wish it did that. I think the biggest users were the WG, the browser rendering engine people. They had some requirements they couldn't use until they were fixed. So we had a really good conversation there. But yeah, tech is never the hard part; it's always the people.

This tool is written in Golang and still used travis-ci as CI. Furthermore, some parts of the release process were still manually, such as uploading the assets to a GitHub release and generating the release notes. We wanted to have this automated.

You should use a service like Travis CI. Much easier than the route you are taking.

https://fastlane.tools https://danger.systems https://www.sonarqube.org https://codemagic.io/ https://travis-ci.org

Datree has really good integration with CicleCi, TravisCi, GitHub Actions, GitLab also.