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Contains the material for the Introduction to Data Analysis in Python taught at Harvard and Northwestern in Spring 2021.

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Tools of the Trade

Contains the material for the introduction to data analysis in Python taught at Harvard and Northwestern in Spring 2021. It provides a crash-course about numpy (scipy), pandas and matplotlib.

Running the Notebooks Locally

If you would like to run the code on your local machine, the easiest way is to create a conda environment for this workshop. After installing conda, you can download the notebooks (or git pull this repository) and, then, type in your terminal:

   conda install -n tools -c conda-forge numpy scipy matplotlib pandas jupyter
   conda activate tools
   jupyter notebook

Running the Notebooks Online

You can run the notebooks online. To run the notebooks on Google Colab:

  1. Click on this badge for the first notebook: Open In Colab
  2. Click on this badge for the second notebook: Open In Colab

To open the entire repository on an online instance of Jupyter Notebook you can clik on the Binder badge: Binder

Exercises

You can find the solutions to the exercises in the following links:

  1. Solution Exercises Part 1
  2. Solution Exercises Part 2

To see how the solutions work, you will have to copy paste the code in the original notebooks of the first / second part.

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Contains the material for the Introduction to Data Analysis in Python taught at Harvard and Northwestern in Spring 2021.

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