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Past Events related to Python
Below are the events that have been offered though the CMG in the past.
April 2018
16th April
9:00 a.m.
PyTorch: Neural Networks in Python
March 2018
13th March
3:00 p.m.
Introduction to OpenCV
February 2018
28th February
6:00 p.m.
Visualising data interactively
November 2017
29th November
6:00 p.m.
Python testing with pytest: motivation, demonstration, and practices
October 2017
5th October
6:00 p.m.
Sustainable Scientific Software Development
May 2017
3rd May
6:00 p.m.
Detect clickbait with machine learning
April 2017
24th April
9:00 a.m.
Introduction to Machine Learning in Python
March 2017
23rd March
9:00 a.m.
Imperative vs. Declarative Programming
20th March
9:00 a.m.
Heterogeneous Computing with OpenCL
13th March
9:00 a.m.
Jupyter Notebook tools workshop
2nd March
6:00 p.m.
Superfast Python - how to accelerate Python for your research
October 2016
3rd October
6:00 p.m.
Snakes on a Boat: Robotic sailing with Python
August 2016
4th August
6:00 p.m.
Continuous Integration with CircleCI
July 2016
5th July
6:00 p.m.
Writing Python to process millions of row of mobile data - in a weekend
June 2016
21st June
9:00 a.m.
NGCM Summer Academy - Days 2 to 5
20th June
9:00 a.m.
NGCM Summer Academy - Basics
May 2016
27th May
4:00 p.m.
Beginner Python Programming Workshop
4:00 p.m.
Object Orientation in Python Workshop
19th May
6:00 p.m.
Matplotlib 2.0
April 2016
28th April
3:00 p.m.
Workshop: Metaprogramming in Python
25th April
4:00 p.m.
Python Pandas workshop
21st April
3:00 p.m.
D3 Data-Driven Document
March 2016
10th March
3:00 p.m.
Presenting with Reveal.js
February 2016
29th February
4:00 p.m.
Computing with units
22nd February
4:00 p.m.
An Introduction to Continuous Integration Services in Scientific Programming
December 2015
11th December
12:00 p.m.
Software Engineering for Computational Science
June 2015
21st June
9:00 a.m.
NGCM Summer Academy
May 2015
11th May
2:00 p.m.
Introduction to the HDF5 file format
April 2015
30th April
4:00 p.m.
FORTRAN programming language
20th April
9:00 a.m.
Python for Life Scientists