It is not always easy to generate insight and conclusions from data. Data can be: poorly structured, hard to find, archived in difficult to use formats…

Building an application from scratch has often been seen as a daunting task, a web of intricate code, functions, and dependencies traditionally best left to the programmers. These programmers are required to have an in-depth knowledge of their language of choice, as well as the peculiarities of development environments, deployment processes, and then their approach to testing…

Python is a very popular programming language used in a significant number of different applications. Python is usually shipped with "IDLE Python" on Windows but this interface can lack some handy tools…

When you think of creating a webform for getting user input from and into a locally hosted SQL database, the last thing you might think of is using Python.

As a data analyst early in my career, I haven’t had a chance to work with many programming languages. Most of the work I have done has been using SAS, so when given the chance to have a go with Python I jumped at the opportunity.