Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

You rarely need to parse just a math expression and even if you did, there are many tools to help do that now. But you might just learn something about how interpreters and compilers digest text ...

Under the hood, MathJax and SymPy do a lot of the heavy lifting. In fact, we imagine a lot of the program’s intended audience would wind up using Jupyter notebooks with Python underneath.

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in ...

The MKL libraries for accelerating math operations debuted in Intel's own Python distribution, but now other Pythons are following suit Last year Intel became a Python distributor, offering its ...