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Jupyter notebook

Jupyter is a clear example of a successful Python-based project, and it's also one of the most powerful devices we will employ to explore and understand data through code.

Jupyter notebooks are documents consisting of intertwined cells of code, graphics, or formatted text, resulting in a very versatile and powerful research environment. All these elements are wrapped in a convenient web interface that interacts with the IPython interactive interpreter.

Once a Jupyter notebook is loaded, the whole environment and all the variables are in memory and can be changed and redefined, allowing research and experimentation, as shown in the following screenshot:

Jupyter notebook

This tool will be an important part of this book's teaching process, because most of the Python examples will be provided in this format. In the last chapter of the book, you will find the full installation instructions.

After installing, you can cd into the directory where your notebooks reside, and then call Jupyter by typing jupyter notebook
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