In this Nylon Calculus 101 post, Savvas Tjortjoglou introduces web scraping with Python to grab data for all draftees from the 1966 to 2014 NBA drafts. U.S. OPEN NFL ...

The best parallel processing libraries for Python. Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.; Dask: Parallelizes Python data science ...

Even when one is not using Python for the data analysis part itself, we oftentimes see the web scraping part being handled by Python regardless. That’s not to say that Python is your only option. In ...

Eventually he located the data feed for a tanker ship and wired his dial to display the ship’s speed. He uses a Python script to interface with the Pachube API, which is fed to his Netduino board.

However, Python’s methods for parallelizing operations often require data to be serialized and deserialized between threads or nodes, while Julia’s parallelization is more refined.

These libraries address various topics, including scientific computing, web development, graphical user interfaces (GUI), data manipulation and machine learning.