NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 projects.Mastering a mix of data, AI, and web-focuse ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

The annual Python Developers Survey shows a programming environment in transition. Data science accounts for more than half ...

M icrosoft just announced new feature for Python in Excel that lets you analyze images in your spreadsheets. You no longer need outside tools—you can manipulate, analyze, and pull information from ...

Dask: Parallelizes Python data science libraries such as NumPy, Pandas, and Scikit-learn. Dispy: Executes computations in parallel across multiple processors or machines.

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.