Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.
Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.
Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.
Explores the monitoring of a new VM and the use of Icinga2 for critical alerts and incident management.
Introduces cellular arrays in Matlab and Octave, explaining how to define and access elements within them.
Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
