April 2018
Beginner to intermediate
300 pages
7h 34m
English
Content preview from Matplotlib for Python Developers - Second Edition
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Setting up Jupyter Notebook
To create our plots, we need a user-friendly development environment.
Jupyter Notebook provides an interactive coding ground to edit and run your code, display the results, and document them neatly. Data and methods can be loaded to the memory for reuse within a session. As each notebook is hosted as a web server, you can connect to notebook instances running at a remote server on a browser.
If you are excited to try it out before installing, you may go to https://try.jupyter.org and open a Python 3 notebook.
To install Jupyter, type this in your console:
python3 -m pip install jupyter
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