In this article, we will see some python examples to get help for python codes for making the program more optimized in terms of speed and performance. Don't you get tired of lengthy programs that take a long time to run? No problem readers, because this article will help you guide how to write your python codes efficiently without affecting its performance. Optimizing your Python code is an absolute necessity that makes your program much more efficient, saving the system memory and leading to faster results. Some of the ways to optimize your code; are list comprehensions, built-in functions, and libraries, etc. As a new learners in programming, people are choosing Python as their first language because the language is easy to learn and has been used in multiple applications.

Hypothesis testing is a statistical approach that assists researchers in determining the validity of their theories. It is frequently used in statistics and data science to determine whether an event has occurred or will occur based on previous happenings. Let's understand Hypothesis Testing with an example. There is one Pharma Company which produces Vaccine A and you need to take 2 doses of that vaccine to get fully immune to the virus. Millions of people have already taken 2 doses of Vaccine A. After a few days the same company comes up with a Vaccine B which gives faster results, they claim that only 1 dose of this vaccine is enough to get fully immune to the virus.