This 4-part workshop
series provides an introduction to using the Python programming language for
reproducible data analysis and scientific computing. The focus of this workshop
is programming basics and working with tabular data. Along the way, we’ll
discuss how to break down programming problems and organize computational code
and projects for clarity and reproducibility.
No prior programming
experience is necessary. All learners will need access to an internet-connected
computer and the latest version of Anaconda and JupyterLab installed on their
local machine prior to the start of the first workshop. Learners should commit
to attending all four sessions of this series.
Before the first
workshop, learners must install the latest versions of the Anaconda and
JupyterLab software. Follow the DataLab Python Install Guide at https://ucdavisdatalab.github.io/install_guides/python-and-python-tools.html#python-and-python-tools.
https://datalab.ucdavis.edu/eventscalendar/python-basics-introduction-to-programming-for-researchers-4-part-series-part-1-of-4/
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and is licensed for reuse under the Creative Commons Attribution 4.0
International (CC BY 4.0) License.
