Launched in 1991, Python is a high-level programming language. It is very popular among information technology professionals because of its large number of applications and because it is open source and developed in a community way . It is managed by the Python Software Foundation, a non-profit organization.

With fast language, great potential for scalability, structure and efficient and intuitive syntax , Python’s participation in projects involving Analysis and Data Science has been growing a lot in recent years. Among the various possible applications themselves, libraries related to Data Analysis have reached an important degree of maturity.

Resources related to data visualization are present in Python, allowing users to create interactive dashboards and graphs. As a result, the company’s data becomes much more accessible and democratic, allowing professionals from different sectors to start making data-based decisions and devising strategies. In addition, the use of Python allows the professional, for example, to mine and model data, use Machine Learning and develop web systems . These are necessary and fundamental actions in data science projects.