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/)