Introduction Currently, the world of Data Science is changing fast, and Python is ahead and also offering innovation with modern tools that are pushing the limits of what’s possible. Some of the old players, such as NumPy and Pandas, are still key players in the market, but a new wave of libraries is emerging to tackle the latest challenges in machine learning, data visualization, and big data processing. These modern tools are offering the best performance, user-friendliness