Python has become one of the most popular programming languages in the data analysis field due to its simplicity, flexibility, and powerful libraries which make it an excellent tool for analyzing data, creating visualizations, and performing complex analyses.
Whether you’re just starting as a data analyst or are looking to expand your toolkit, knowing the right Python libraries can significantly enhance your productivity in Python.
In this article, we’ll explore 10 Python libraries every data analyst should know, breaking them down into simple terms and examples of how you can use them to solve data analysis problems.