It’s Time to Say Goodbye to These Obsolete Python Libraries

John Vastola
4 min readMar 1, 2023
Photo by Alex Chumak on Unsplash

As Python continues to evolve, certain libraries that were once widely used are becoming obsolete. These outdated libraries can cause compatibility issues, security vulnerabilities, and hinder performance. It is essential to stay up-to-date with the latest and most efficient libraries to ensure that your code is optimized and secure.

In this article, we will explore five obsolete Python libraries and recommend their alternatives. We will provide a comprehensive overview of each obsolete library, introduce its replacement, and compare their features. We will also provide code examples demonstrating the transition from the old library to the new one.

What to Expect:

  • An explanation of why staying up-to-date with Python libraries is crucial
  • An overview of five obsolete Python libraries and their replacements
  • Comparisons of features between the old and new libraries
  • Code examples demonstrating the transition from the old library to the new one

Without further ado, let’s dive into the obsolete libraries and their modern replacements.

NumPy — Upgrade to Dask

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John Vastola

Data scientist, AI enthusiast, and self-help writer sharing insights on using data science and AI for good. johnvastola.medium.com/membership