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It does not provide automatic numbering however. This way, the equation can be properly referenced in the ipython notebook using eq1 as the reference handle and eq1text as the reference text. Any python code that is within double curly brackets
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Out of the box, the notebook unfortunately can't display the content of python variables. However I mostly use it to give each cell a comment at the beginning to describe its content and fold away on that first line, so that I can quickly scroll through the notebook.
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This small plugin allows code to be folded away at function definitions etc. After that you can simply add /nbextensions/ to the url of your IPython/Jupyter notebook server (instead of /tree/) and simply activate the plugins that suit you. For installation simply clone the repository and run python setup.py install. This tutorial is part one of a two-part tutorial series. You can then use the notebook as a template to train your own machine learning model with your own data. You'll use the training and deployment workflow for Azure Machine Learning in a Python Jupyter Notebook. Most of the plugins are available from a central repository. In this tutorial, you train a machine learning model on remote compute resources. In the following I will present the plugins I find useful when I write my notebooks. Useful packages and matplotlib preambleĪlthough the IPython/Jupyter notebook is pretty nice, it supports plugins to add some nice features that are useful when writing a scientific article within the notebook.
JUPYTER NOTEBOOK TUTORIAL PDF PDF
The idea is to create a straightforward workflow to fetch data for a specific city using a Python API called PyOWM, execute the data wrangling, create some plots and organize the information on a pdf report. In the following I will present my choices to create almost publication ready reports from within IPython/Jupyter notebook. We are going to use a Jupyter Notebook to perform weather forecast data analysis. However in the standard configuration, the pdf export of the Python notebook is somewhat ugly and unpractical. The notebook functionality of Python provides a really amazing way of analyzing data and writing reports in one place.