We offer specialist courses in Python for science and engineering. These include the core concepts and types of Python (day 1) and specific help on manipulating data for scientific and engineering applications (days 3-4).
Some familiarity with programming concepts (in any language) is assumed.
By the end of the course, you will have all the knowledge you need to use Python to solve problems involving the use of various scientific data sets. You will know what's available with Python, how to structure your code, and how to use Python's data structures competently to write clean, efficient code. You will have had experience with using Python for various scripting and data manipulation tasks, including easily creating beautiful plots, performing Monte Carlo simulations and image analysis, analysing time-series data, constructing statistical models, and scaling up to handling medium-sized (sub-terabyte) data.
Day 1 covers the basics of using Python for general programming tasks, including tips and tricks for making this easy. The syllabus is as follows:
Day 2 teaches the use of Python for numerical and scientific computing. It covers array and matrix manipulation, working with labelled and tabular data, an overview of available scientific routines, and creating simple but beautiful 2D plots, with the packages NumPy, SciPy, Matplotlib, and Pandas. The syllabus is:
Day 3 gives a comprehensive introduction to reading and writing the most important data formats in science and engineering and how to visualize statistical data easily. The syllabus is:
Day 4 focuses on techniques for scaling from small problems and small datasets to big ones that require special techniques for handling them. These include speeding up computational code, interfacing with existing code in other languages, and distributing processing over moderate-sized clusters.
We will supply you with printed course notes and a USB stick containing a complete Python environment based on VirtualBox. This saves time in the course and allows us to focus on using Python rather than installing it. The USB stick also contains kitchen-sink Python installers for multiple platforms, solutions to the programming exercises, several written tutorials, and reference documentation on Python and the third-party packages covered in the course.
We also offer custom courses on-site for teams within organisations. These are particularly appropriate if your team uses particular tools or data sources in its workflow. Please contact us to discuss your requirements.