Skip main navigation

Week 1 summary

Short summary of week one.
© CC-BY-NC-SA 4.0 by CSC - IT Center for Science Ltd.

We hope that you have enjoyed the first week of Python in High Performance Computing!

This week, we have discussed various performance challenges in Python programs and have set up the programming environment for the course. We have also introduced various ways of investigating the performance of Python programs. We hope that you remember the number one rule in performance optimization:

Measure before you optimize!

By now, you should know how to use the cProfile profiling tool which is included in the Python standard library.

Next week, we will look into how to use fixed size, uniformly typed NumPy arrays to get more performance in Python.

© CC-BY-NC-SA 4.0 by CSC - IT Center for Science Ltd.
This article is from the free online

Python in High Performance Computing

Created by
FutureLearn - Learning For Life

Our purpose is to transform access to education.

We offer a diverse selection of courses from leading universities and cultural institutions from around the world. These are delivered one step at a time, and are accessible on mobile, tablet and desktop, so you can fit learning around your life.

We believe learning should be an enjoyable, social experience, so our courses offer the opportunity to discuss what you’re learning with others as you go, helping you make fresh discoveries and form new ideas.
You can unlock new opportunities with unlimited access to hundreds of online short courses for a year by subscribing to our Unlimited package. Build your knowledge with top universities and organisations.

Learn more about how FutureLearn is transforming access to education