Spring Intermediate Python Series starts May 25
Spring Intermediate Python Series starts May 25! All spring workshops will be held online and there is no cost to attend.
Looking for an introductory workshop? Check out our Spring 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.
Intermediate Python Series Schedule
May 2022
| Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|
|
23
|
24
|
25
9 am–12 noon
|
26
|
27
|
|
30
|
31
|
June 2022
| Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|
|
1
9 am–12 noon
|
2
|
3
|
||
|
6
|
7
|
8
|
9
|
10
|
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, May 25, 2022
Time: 9 am–12 noon
Location: Online
Facilitator: Chris Want
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 your operating system here: https://ualberta-rcg.github.io/python-intro/setup/ (or use a cloud-based Jupyter notebook platform, like Google Colab).
Intermediate Python: Parallelism
Date: Wednesday, June 1, 2022
Time: 9 am–12 noon
Location: Online
Facilitator: Chris Want
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 your operating system here: https://ualberta-rcg.github.io/python-intro/setup/ (or use a cloud-based Jupyter notebook platform, like Google Colab).
Intermediate Python: Introduction to Machine Learning
Date: Monday, June 6; Wednesday, June 8; Friday, June 10, 2022
Time: 9 am–12 noon
Location: Online
Facilitator: Chris Want
This hands-on workshop (three half-days) will introduce students to central concepts in machine learning, and provide an introduction to tools for doing predictive data science with Python. It includes an introduction to supervised learning (classification and regression), unsupervised learning (clustering), and basic neural networks.
Students should know some Python and Pandas (e.g., via the Introduction to Python course), but no previous experience with machine learning is required.
If you do not have a version of Python installed and are not sure where to start, then consider following the instructions for your operating system here: https://ualberta-rcg.github.io/python-intro/setup/ (or use a cloud-based Jupyter notebook platform, like Google Colab).
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