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Beam Profiler

Simple examples that demonstrate Monte Carlo simulation techniques.

A genetic algorithm for finding a Pareto front in two dimensions. This is a simple algorithm, that could be generalised to functions with many return parameters.

Tracking code, requirements, BOM and so on, for delivering the hardware solution

An introduction to Python web services.

A project to generate PDF files from input caption files.

Simple exercises that introduce deploying software to the Azure cloud.

A basic Logo interpreter written in Python that provides interactive and batch processing of Logo commands.

A project to explore genetic algorithms that can be used to find a global minimum or maximum within limits. The genetic algorithm expects a function that returns a fitness value.

Object relational mapping and object document mapping exercises.

Discussion of deploying containers on the Azure cloud platform.

Introductory Kubernetes exercises.

Examples that demonstrate how to use a cloud database from an on premises environment.

Exercises in using Azure Functions.