Python becomes a fully fledged data analysis tool when equipped with its data analysis libraries such as pandas. For many, Python easily overtakes traditional tools such as R and Matlab. Basically, all you have to do to start handling your data with Python is install Python and the pandas library and you can then import, process, analyze and export data back to various data formats by simply using the Python shell. You can then use a library such as the old matplotlib, seaborn, or the trending bokeh.
In this tutorial, you will get quickly up and running with Python for data analysis. You will learn how to read CSV data in Python, clean them, extract portions, apply statistics and generate image graphs.