Because of its simplicity and ease of learning, Python has become very popular these days. It is used for various activities such as data science, machine learning, web development, scripting, automation, etc. Python is one of the most demanding skills for data scientists. The simplicity of Python is the first of several advantages in data science. Although some data scientists have a background in computer science or know other programming languages, many data scientists come from statistics, mathematics, or other technical disciplines and may not have as much programming knowledge when they enter the industry. Python syntax is easy to understand and write, which makes it a fast and easy to learn programming language. In this article, I will introduce more than 40 ideas and methods that can help you speed up your data science activities on a regular basis.