The third in the series of Python Pandas tutorials. In this session we look at setting values, performing operations on data frames and histogramming.

In the previous post we worked with a custom data set we had created for the purposes of demonstration. This time we are going to work with the gapminder dataset. Viewing the gapminder dataset To initialise the gapminder dataset in my project I will use the below import statements to ...

The pypyodbc is the library you need to drive the connection to a SQL server database. If, like me, you struggle with connection strings, then please navigate to this site for help with all types of connection string: https://www.connectionstrings.com/. Installing with pip install To install the relevant ...