Python, pandas and matplot can be used to create a waterfall chart.
Pandas can be used to create a diff tool that compares two similar Excel spreadsheets.
Pandas and IPython allow you to quickly and easily manipulate data and create useful graphs.
There are many useful python tools to quickly and easily analyze large volumes of data.
Python’s standard library includes a sets module which can support some complex analysis with a very compact and simple form.
This article describes the process I used to configure the pleican blog engine for pbpython.
This article is a brief overview of the technology behind this blog and why I have chosen the approach described in the article.