Python is one of the most popular programming languages in research. The structure of the language and its object-oriented approach help programmers to write logical and clear code for small and large projects. Python libraries (packages) effectively simplify many important processes such as analysing and visualizing data, retrieving unstructured data from the web, image processing, building machine learning models, and textual information [1-4]. In this article, some of the most important and popular libraries and packages in Python are described. 1-Pandas Pandas is a fast, powerful, flexible, and easy-to-use open source data analysis and manipulation tool built on the Python programming language. Pandas is being used for data wrangling and analysis and provides simple ways for cleaning, manipulating, and transforming data. If you are dealing with a large amount of data, Pandas make it easier to work with them. Top features in Pandas can be categorized as: