Back in May we discussed using Python, R, and Octave as data analysis tools, and compared the relative strength of each. One point of contention was whether Python could be considered a legitimate tool for such work. Now, Bei Lu writes while Python on its own may be lacking, Python with packages is very much up to the task: "My passion with Python started with its natural language processing capability when paired with the Natural Language Toolkit (NLTK). Considering the growing need for text mining to extract content themes and reader sentiments (just to name a few functions), I believe Python+packages will serve as more mainstream analytical tools beyond the academic arena." She also discusses an emerging set of solutions for R which let it better handle big data.
DEAL: For $25 - Add A Second Phone Number To Your Smartphone for life! Use promo code SLASHDOT25. Also, Slashdot's Facebook page has a chat bot now. Message it for stories and more. Check out the new SourceForge HTML5 internet speed test! ×