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5 Best Practices for Versioning Your Python Packages

Posted on February 1st, 2022.

Versioning in Python is tricky due to its range of complex versioning schemes. Follow these best practices to speed up the development process, keep things organized, and avoid future headaches. 

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Python

How to Escape Python Script Hell with Modules & Packages

Posted on January 28th, 2022.

Bad scripting practices will eventually land you in script hell. This article will teach you how to make Python packages that keep you out of script hell and on the road to Python mastery.

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Python

How to Vet and Approve PyPI Packages

Posted on January 25th, 2022.

Creating a package approval pipeline is your codebase’s biggest defense against vulnerabilities, unacceptable licenses, and low-quality PyPI packages.

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Python

Three Jobs Where Python is Vital

Posted on January 24th, 2022.

Python fluency is sought in multiple non-tech industries. It's useful skill, especially as a Data Scientist, Web Developer, or Network Engineer. Read More.

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Python

Python Environment Management Best Practices

Posted on January 23rd, 2022.

There are a number of choices to make when cultivating the best environment for your Python project. This article will explain best practices to follow and common mistakes to avoid when cultivating your Python environment.

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Python

Python Package Managers Explained

Posted on January 22nd, 2022.

Python has become one of the most popular programming languages, thanks to its ease of use and extreme versatility. In this article, I'll explain where all these great packages can be found, how Python's standard package manager works, and some challenges and solutions you'll encounter when using Python.

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Best Authoring Practices for Creating Python Packages

Posted on January 21st, 2022.

Creating Python Packages for private use is much easier than packages bound for open-source sites. Follow these authoring best practices for your packages.

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Python

8 Tips to Improve Your Python Scripts Immediately

Posted on January 20th, 2022.

Here are 8 tips and tricks you and your team can use to immediately improve your Python scripts.