Using Python with your Database

While SQL has a breadth of functionality, many data scientists and data analysts are starting to use Python too. This is because Python is a high-level language that can be easily used to process data. While the functionality of SQL covers most of the daily needs of data scientists, Python is growing fast and has generally become one of the most important data analytics tools in recent polls. A lot of Python's functionality is also fast, in part because so much of it is written in C, a low-level programming language.

The other large advantage that Python has is that it is versatile. While SQL is generally only used in the data science and statistical analysis communities, Python can be used to do anything from statistical analysis to building a web application. As a result, the developer community is much larger for Python. A larger developer community is a big advantage because there is better community support (for example, on Stack Overflow...