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Asked: 2026-05-23T00:55:06+00:00

I am learning python and django. I need to do extensive stuff for data

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I am learning python and django. I need to do extensive stuff for data parsing , stats , AI and data mining. There are many libraries available. so I want to know which SET I should learn. Currently I have the following SET in My Mind.

  • Parsing: Beautiful Soup
  • Search Engine: Whoosh (Will it crawl and index the website or not??)
  • AI: PyBrain
  • Data Mining: orange (I am not sure bout this, Anything else)

So I want to know is there anything else which I need to learn for that fields.
Or Some libraries which someone has tried. basically I want libraries which i can use from inside Django , I don’t want different frameworks for those.

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1 Answer

  1. Editorial Team

    In addition to the scikit cited by @aix, you might want to take a look at the following libraries:

    • mlpy, an ML library for preprocessing, clustering, predictive classification, regression and feature selection.
    • PyML, yet another ML library.
    • pandas (Pythonic cross-section, time series, and statistical analysis), is a set of fast NumPy-based data structures optimized for panel, time series, and cross-sectional data analysis, with an emphasis on econometric applications.
    • scikits.statsmodels, implements common statistical model (OLS/GLS, GLM, M-estimators, etc.). I really like this package, the syntax is clean and it feels like we didn’t leave R.

    I’ll really second investigating orange capabilities which is a full-featured application for data mining, but you can call it from external scripts, see e.g. the Beginning with Orange tutorial to get an idea.

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