Getting ready for the School
Perfilado de sección
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Each week, we will release a set of notebooks for you to go through ahead of the Joint Dust Training School. This material is optional, but it will be very helpful for those who may be new to programming or for those who are new to the data types we will be using.
We will answer any questions during the optional clinic on 16th February 2023 at 13:00 (CET). Selected participants will receive the Zoom link. The clinic agenda is below:
13:00 - 14:00: Python 101
14:00 - 15:00: Intro to Jupyter
15:00 - 16:00: Data Access & Workflows
Practical materials
- Python - Preparatory Material (link opens in a new tab)
This notebook will introduce you to the Python programming language and useful Python libraries for processing and visualising data that we will use during this training school.
- Introduction to Project Jupyter (link opens in a new tab)
Project Jupyter offers different tools to facilitate interactive computing, either with a web-based application (Jupyter Notebooks), an interactive development environment (JupyterLab) or via a JupyterHub that brings interactive computing to groups of us.
- JupyterLab (link opens in a new tab)
JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. This notebook will introduce you to a JupyterLab training platform that will be used in this training.
- Jupyter Notebook (link opens in a new tab)
The Jupyter Notebook is a web-based application that records your data processing workflow from describing the steps, executing your code and visualising the results. It is similar to a writing a recipe or lab notebook. This notebook will introduce you to what Jupyter Notebooks can do and how you can use them effectively. - Data access (link opens in a new tab)
This notebook will introduce you to the data sources that we will be working on during this training school. - Troubleshooting (link opens in a new tab)
This notebook gives some hints about what you can do if your notebook or a code cell does not react as expected, or you think something isn't working in your Jupyter Notebook.
Replicating the JupyterLab environment locally (link opens in a new tab)
This notebook will provide guidance on how to replicate the JupyterLab environment we used during the training school on your local machine (your laptop or desktop).
Data Workflows for Model Data - Python - Preparatory Material (link opens in a new tab)