Winter Intermediate Python Series starts February 2

Winter Intermediate Python Series starts February 2nd! All winter workshops will be held online and there is no cost to attend.

Looking for an introductory workshop? Check out our Winter Research Computing Bootcamp:

Winter Research Computing Workshops

Are you unable to attend a workshop date but are interested in research computing resources? Check out our Research Computing page to see our list of services and to access video recordings from past bootcamps.

Winter 2022 Intermediate Python Series Schedule

Monday Tuesday Wednesday Thursday Friday
31
FEB 1
2
3
6
7
8
9
10
11
14
15
16
17
18

See something you like? Register below! Please only sign up for a bootcamp if you are confident you can attend.


Intermediate Python: Plotting
Date: Wednesday, Feb. 2, 2022
Time: 9:00am - 12:00pm
Location: Online
Facilitator: Chris Want

Register now!

This half-day session will look at the Plotly library for creating interactive plots. Students should know some Python and Pandas.

If you do not have a version of Python installed and are not sure where to start, then consider following the instructions for you operating system here: https://swcarpentry.github.io/python-novice-gapminder/setup (Or use a cloud-based Jupyter notebook platform, like Google Colab).


Intermediate Python: Parallelism
Date: Wednesday, Feb 9, 2022
Time: 9:00am - 12:00pm
Location: Online
Facilitator: Chris Want

Register now!

This half-day session will focus on writing parallel programs with Python (via the DASK library). Students should know some Python and Pandas.

If you do not have a version of Python installed and are not sure where to start, then consider following the instructions for you operating system here: https://swcarpentry.github.io/python-novice-gapminder/setup (Or use a cloud-based Jupyter notebook platform, like Google Colab).


Intermediate Python: Introduction to Machine Learning
Date: Monday, Feb. 14; Wednesday Feb. 16; Friday, Feb.18, 2022
Time: 9:00am - 12:00pm
Location: Online
Facilitator: Chris Want

Register now!

This hands-on workshop (three half-days) will introduce students to central concepts in machine learning, and an introduction to some tools for doing predictive data science with Python. Students should know some Python and Pandas (e.g., via the Introduction to Python course). It includes an introduction to supervised learning (classification and regression), unsupervised learning (clustering) and basic neural networks.

If you do not have a version of Python installed and are not sure where to start, then consider following the instructions for you operating system here: https://swcarpentry.github.io/python-novice-gapminder/setup/ (Or use a cloud-based Jupyter notebook platform, like Google Colab).


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