Avoiding Repetition

We all know that the duplication or repetition of code is not a good practice. It becomes difficult to handle bugs, and the length of code increases. Different versions of the same code can lead to difficulty after a point, in terms of understanding which version is correct. For debugging, a change in one position needs to be reflected across the code. To avoid bad practices and write and maintain high-level code, let's learn about some best practices in the following sections.

Using Functions and Loops for Optimizing Code

A function confines a task which requires a set of steps that from a single of multiple inputs to single or multiple outputs and loops are used for repetitive tasks on the same block of code for a different set of sample or subsetted data. Functions can be written for a single variable, multiple variables, a DataFrame, or a multiple set of parameter inputs.

For example, let's say you need to carry out some kind of transformation for only numeric variables...