The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems. Have a go now! Try out the examples in the examples folder ...

Python’s development team chose defaults that reflect the most common real-world scenarios. But if you do need to tweak the way garbage collection works, you can use Python’s gc module .

Learn some of the best ways to optimize your Python code in control engineering, such as using built-in functions, vectorizing operations, profiling and benchmarking, and more.

More deprecated Python modules. These modules are far less likely to be in use in any programs you’re writing or maintaining, but it’s worth knowing they have been deprecated.

Abstract: This article discusses the creation of a python module for object-oriented modeling and control design of flexible robots using the transfer matrix method (TMM). The authors overcame several ...

A new Python-based remote access Trojan (RAT) known as PylangGhost is being deployed in cyber campaigns attributed to the ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

The easiest way to get started with the Control Systems library is using Conda.. The Control Systems library has packages available using the conda-forge Conda channel, and as of Slycot version 0.3.4, ...