From the course: Python in Excel: Data Outputs in Custom Data Visualizations and Algorithms

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Importing Python libraries into Excel

Importing Python libraries into Excel

From the course: Python in Excel: Data Outputs in Custom Data Visualizations and Algorithms

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Importing Python libraries into Excel

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- [Instructor] Python has existing functions that we can tap into for writing and running Python code. However, in order to maximize what the language should do, we want to tap into Python packages and libraries and their functions. There's some debate about what's a library and what's a package, but I'm just going to call them all libraries for simplicity. This includes functionalities for data science and data visualization like pandas, numpy scipy, sklearn, and matplotlib. We find them in commonly used Python IDs and notebook environments, so they're already vetted quite well for general use. Here in this text file are the libraries that we're going to import for this course. I've already divided them based on how we're going to use them in the course. We'll copy all these imported libraries from the text file and the Excel file, we'll navigate to the libraries tab and let's import our libraries in C4 in this page. We can import our Python libraries on each worksheet or altogether…

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