ARCHER2 - Data analytics using Python
Data Analytics refers to the manipulation, processing and analysis of data. In recent years, this area has undergone a revolution in which HPC has been a key driver. This one-day intermediate course provides an overview of data science and the analytical techniques that form its basis as well as exploring how HPC provides the power that has driven their adoption.
Course timetable
Wednesday, 11th Nov 2020
- 09:45 - Course setup
- 10:00 - Data Analytics using Python
- 11:00 - Morning break
- 11:15 - Data Analytics using Python (cont.)
- 12:15 - Lunch break
- 13:15 - Data Analytics using Python (cont.)
- 14:15 - Afternoon break
- 14:30 - Data Analytics using Python (cont.)
- 16:00 - END
Course requirements
To attend, you must have some experience of writing code and/or scripts and be familiar with programming concepts including conditionals, loops, arrays and functions. You should also have some basic knowledge of the Python language. For an introduction to Python, please see Code Academy’s Python tutorial or the Software Carpentry’s lesson on Python.
You should also be comfortable with using the bash shell. For an introduction to the shell, please see, for example Software Carpentry’s lessons on Unix Shell.
We strongly recommend you download, before the course, Anaconda Python version 3 from https://www.anaconda.com/download/
Participants must have a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
They are also required to abide by the ARCHER2 Training Code of Conduct.
Course material
- Data Analysis and Visualization in Python
- ARCHER2 User Documentation - Using Python
- numpy Jupyter notebook
- mpi4py Jupyter notebook
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
