Python is very accessible, it is new to many users. This makes the individuals clean up data and perform advanced operation. The functionality such as enabling the row-and-column datasets import as CSV files and beyond makes Python a widely used tool for data analysis. Pandas is one such tool built based on Python for data analysis and manipulation tool. Also, there are numerous other specialized libraries which are all used for the same purpose such as SymPy for statistical applications, matplotlib which is for plotting and visualization. These and a couple of other libraries support in machine learning to data processing to neural networks. As already mentioned, Python is accessible and flexible in nature that hugely encourages data scientists to use the tool.