Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.

Unlike R, Python has no clear “winning” IDE. We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, ...

Pandas 1.0 can be installed directly within Python by way of the Pip package manager, by typing pip install pandas. Pandas 1.0 is also available as part of the Anaconda Python distribution for ...