Monthly Archives: March 2016

Making Pandas perform

I found that cleaning a time-series was taking longer than expected, the data being stored in a Python Pandas dataframe. With a few alterations to the way I was manipulating the data I was able to improve the performance so … Continue reading

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Sentiment analysis of Guardian articles

I’ve created an online tool for applying sentiment analysis to articles published in the Guardian newspaper based on the reader comments. You can jump in and try using it here, or find a short explanation here. Below I’ll discuss what … Continue reading

Posted in Data science, Python, Web | 2 Comments

Quick parallelism in Python

This post gives a demonstration of how parallelism can be introduced to a Python program to increase performance, and in particular how this can be done in very few lines of code. Introduction I’ve been working on a project involves … Continue reading

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