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.

As Python’s popularity rises, its limitations are becoming more clear. For one thing, it can be very hard to write a Python application and distribute it to people who don’t have Python installed. The ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

With lazy imports, JIT compilation, Python-generated C, or the Python-esque Mojo, it has never been easier to make Python go ...

More often than not, an IoT master device uses the SPI (serial peripheral interface) and I 2 C (inter-integrated circuit) protocols to exchange data with EEPROMs or sensors that are operating in slave ...

Community driven content discussing all aspects of software development from DevOps to design patterns. I recently recently compared Java’s REPL scripting environment to Python’s. Many detractors felt ...

I work in a lab where laptops are pervasive. They pushed out calculators, which decades earlier did the same to slide rules. As calculators become more powerful, for some jobs the Prime could be more ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...