These are my go-to libraries for Python data crunching.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

When comparing tourism spending in two regions or price trends for two items in university seminars or reports, are you satisfied with looking only at the 'average'? Let me state the conclusion: in ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

The PyGSP is a Python package to ease Signal Processing on Graphs. The documentation is available on Read the Docs and development takes place on GitHub. A (mostly unmaintained) Matlab version exists.

This program was built using pyinstaller. Therefore, you do not need to have python installed to run this program. All of the neccessary libraries can be found in ...

Matplotlib is a versatile 2D plotting library that provides an array of visualization options. Whether it's line plots, scatter plots, bar plots, or even 3D plots, Matplotlib has you covered. Its ...

Power BI is a popular business intelligence tool that allows you to create interactive dashboards and reports from various data sources. Power BI also supports Python, a versatile and powerful ...