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

JFrog found malicious npm packages that deploy a Windows RAT to steal Chrome credentials, run commands, and transfer files.

Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, ...

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 ...

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 ...

OpenAI has finally added Code Interpreter to ChatGPT, the most anticipated feature that opens the door for so many possibilities. After ChatGPT Plugins, people have been waiting for Code Interpreter, ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

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.

Hey everyone! I recently passed the NVIDIA Data Science Professional Certification, and I'm thrilled to share some insights to help you on your journey. This is part of a series where I'll break down ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...