Pandas is emerging as the defacto data manipulation tool in the Python world, thanks to its richness and speed. This tutorial covers:
– Loading data from files, databases and the web
– Performing simple analysis (e.g. top 10, most common, etc) with data
– Working with Pandas like you’d work in Excel
– Plotting the data
The tutorial was conducted by S. Anand, Chief Data Scientist at Gramener. The data visualization tutorials and hacknight were held on 29th and 30th June, 2013, as a run-up to The Fifth Elephant 2013. The Fifth Elephant is an annual conference on big data and analytics. This tutorial is beneficial for programmers and analysts who want to get started with Python Pandas to analyze their data and produce visualizations.