This includes basic control structures in Python: conditional branches, for loops and recursion; functions: defining and calling functions, and recursion; in-built data structures: lists and ...

Graphs and charts need to be drawn and labelled correctly. Use patterns in the data to reach a conclusion in an experiment. Many people find graphs or charts much easier to understand. They can ...

As the volume and complexity of data continues to increase, organizations are looking for more efficient and agile solutions to extract meaningful insights. This is where graph databases and NoSQL ...

Before we can use data it needs to be collected. A computer can quickly create a chart or graph from our data. It can create a chart or graph much quicker than a human can. It's more difficult to ...