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Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.
Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.
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XDA Developers on MSNForget Python in Excel, this Jupyter extension has taken over my workflowOpen Excel, and you will see a new tab in the ribbon at the top that says PyXLL.
We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, matplotlib, etc.) are supported. If you ...
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DIY AI Part 3: Setting up your environment and installing librariesSet up your AI project! In Part 3 of DIY AI, learn how to install VS Code, create a virtual environment, and prepare essential libraries for success.
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