In this tutorial, you will learn about the concept behind variable names or naming in computer programming and how to work with different data types in Python.

Functions in Python allow you to write codes and reuse them over and over again, and in this post, you will learn how to write or call functions.

An exception is an event that happens during program execution that disrupts the normal execution of the program.

In this article, we will be learning how to work with numerical data types in Python. Like every other programming language, python provides support for working with different types of numerical data types including integers, floats and complex numbers. Numerical Types in Python In Python, there are three distinct numeric data types and they include:

The standard installation comes with the Python datetime module that allows you to work with dates and times. This module is shipped with classes that enable you to manipulate dates and times, including:

Python pickle is a module used for serializing and deserializing objects in Python. It provides a mechanism for converting objects to binary streams and vice versa.

Working with databases in Python is easy with the vast support for so many databases including MySQL, Oracle, PostgreSQL, SQLite and so many others.

CSV stands for comma-separated values and CSV files are files with comma-separated values. It is a plain text-based file with data items delimited with commas.

Python openpyxl is a third-party library for creating and manipulating Microsoft Excel files. Excel is one of the leading spreadsheet programs, mainly employed in performing arithmetic calculations and data analysis.