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Getting Started |
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To work on the assignments and project, you will need to have a proper setup for development environment. If you do not already have Python and Jupyter Notebook installed, you will need to configure conda environment. Think of Jupyter Notebook as a playground where we can write code, instantly view output, embed images and markdown, and easily share our work. The following guide will help you install and setup your environment properly.
Both Python2 and Python3 work well with Jupyter Notebook and Machine Learning libraries, but for this course, we will use Python3. Any version of Python above 3.5.x will work with the course. You can verify the Python version by running the following command on your terminal:
$ python --version$ brew install python