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Jupyter notebook: An Introduction to Interactive Reproducible Research [Online]

 

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SFU graduate students are encouraged to book consultations with the Research Commons staff and partners. Consultations are available by phone, via email, or through online video-conference.

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A Jupyter notebook is an application which can be used to produce interactive computational narratives containing code (e.g., R, Python, Julia) and formatted text (e.g., paragraphs, formulas). Jupyter notebooks are a powerful open source tool for scientific computing and can be used to clean, visualize and analyze data as well as showcase models and simulations, while also facilitating sharing results with the scientific community.

By the end of this workshop you will be familiar with the Jupyter environment and will be able to define, test and run functions, run a Python-based simulation and create an interactive narrative which can be shared with colleagues.  

Setup & Software Installation

Participants will need to install the following on their device.

We will be using Python 3.7 and Jupyter notebooks throughout the workshop. The easiest way to install is via Anaconda https://docs.anaconda.com/anaconda/install/. We will also explore incorporating an IDE such as PyCharm https://www.jetbrains.com/pycharm/, please ensure you install this. 

In addition to this, please make sure you install the following Python dependencies:

Matplotlib (Instructions https://matplotlib.org/3.1.1/users/installing.html  )
Numpy (Instructions https://scipy.org/install.html  )
Pandas (Instructions https://pandas.pydata.org/pandas-docs/stable/install.html)
Plotly  (Instructions https://pypi.org/project/plotly/)

 
Prerequisites
 
Comfort with Python programming language, or any other programming language. If you are not familiar with Python and want to participate in this workshop, we encourage you to attend our workshop on Python programming.

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