data collection and analysis: wrangling data and process of cleaned data to assure quality and usefulness of data. and transforming data to answer an analytical question. Using Python and its libraries, I can gather data, assess its quality and tidiness, then clean it. Important tools and package in python library are the most advantage of this software which we can find almost everything about data analysis due to the huge number of programmer and expertise that continuously enhance these tools. For example, the panda’s library that considered one of the most used tools in data analysis.