0.4.0 introduces parallel file uploads using Python's multiprocessing module. This enables huge speed-ups for first time uploads. Using testdata with 50 files at 500kb each upload finished in 1m9s using 0.3.1 and in just 10s using 0.4.0.

In this tutorial we'll dive in Topic Mining. We'll analyze a dataset of newsfeed extracted from more than 60 sources. We'll show how to process it, analyze it and extract visual clusters from it. We'll be using great python tools for interactive visualiza... (more…)

Continuing analysis from last year: Top 20 Python Machine Learning Open Source Projects, this year KDnuggets bring you latest top 20 Python Machine Learning Open Source Projects on Github. Strangely, some of the most active projects of last year have beco... (more…)

By default, numbers having a decimal point are represented as floating point numbers.

Essays about data, building products and bootstrapping businesses.