As good as a desktop OS may be, at some point it has to feature accelerated 3D graphics. This has been a bit of a sticking ...

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

The New York Public Library has filled its top floor with a bold account of contemporary artists coming to terms with the state of our nation. Robert Longo’s “Untitled (Falling Flag),” sits behind a ...

Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...

Pyclipr is a Python library offering the functionality of the Clipper2 polygon clipping and offsetting library and are built upon pybind. The underlying Clipper2 library performs intersection, union, ...

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 ...

ReportLab and fpdf2 are the top choices for flexible and efficient Python PDF generation. HTML-to-PDF tools like WeasyPrint and PDFKit simplify web-to-document workflows. Python PDF generator ...

pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the index of a DataFrame On a ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...