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.
Requirements
- Bring your own laptop
- Comfort with Python programming language (or other programming languages)
- Install Python 3.7 and Jupyter notebooks (the easiest way is via Anaconda)
Required libraries
- pandas
- numpy
- matplotlib