Python#
This page is devoted to the Python programming language, including references to tutorials and particular, use of Python in programming robot control systems.
Below is some rough notes. This needs to be edited into proper wiki text.
Python Module Index https://docs.python.org/3/py-modindex.html igraph is a collection of network analysis tools with the emphasis on efficiency, portability and ease of use. https://igraph.org/ iGraph Getting Started https://igraph.org/python/ python-igraph https://github.com/igraph/python-igraph NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. http://networkx.github.io/ https://github.com/networkx/networkx Arduino-Powered Robot Solves a Maze Using Subsumption Architecture in C http://www.codingnaked.com/post/arduino-powered-robot-solves-a-maze-using-subsumption-architecture-in-c/ check out: http://www.soerenwalls.com/ who built the robot and wrote the above article Multi-Threading in Python ...................................... Python - Multithreaded Programming (TutorialsPoint) https://www.tutorialspoint.com/python/python_multithreading.htm An Intro to Threading in Python (Real Python) https://realpython.com/intro-to-python-threading/ How can I use threading in Python? https://stackoverflow.com/questions/2846653/how-to-use-threading-in-python On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore and Gerardo Aragon-Camarasa (Python) https://github.com/cvas-ug/simple-reactive-nn A subsumption-architecture based robot built using the lejos ev3 API. (Java) https://github.com/GitPaulo/lego-robot-A1 Robot Subsumption Controller (alexander-svendsen/ev3-python on github) https://github.com/alexander-svendsen/ev3-python Parallelism in One Line (multiprocessing in Python, how to avoid boilerplate producer-consumer-queueing code by injecting parallelism into the code using Map, a functional programming concept) https://chriskiehl.com/article/parallelism-in-one-line Threading — Thread-based parallelism (Python documentation) https://docs.python.org/3/library/threading.html Multi-threading vs multi-processing https://medium.com/contentsquare-engineering-blog/multithreading-vs-multiprocessing-in-python-ece023ad55a Multithreading vs Multiprocessing in Python https://blog.usejournal.com/multithreading-vs-multiprocessing-in-python-c7dc88b50b5b Lab 7: Subsumption architecture, Due April 16 https://www.cs.swarthmore.edu/~meeden/cs63/s15/subsumption.html Playful: Reactive Programming for Orchestrating Robotic Behavior https://www.researchgate.net/publication/325077049_Playful_Reactive_Programming_for_Orchestrating_Robotic_Behavior source: Lisa Meeden, Neil R. Grabois Professor in Natural Sciences and Engineering and Department Chair Swarthmore College, PA https://www.cs.swarthmore.edu/~meeden/ A Developmental Robotics Manifest (Blank, Marshall, Meeden) https://www.cs.swarthmore.edu/~meeden/papers/Manifesto2017.pdf Towards Planning: Incremental Investigations into Adaptive Robot Control Lisa A. Meeden, doctoral thesis https://www.cs.swarthmore.edu/~meeden/papers/meeden.thesis.pdf Emergent Control and Planning in an Autonomous Vehicle Appeared in Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society Lisa Meeden and Gary McGraw and Douglas Blank https://www.cs.swarthmore.edu/~meeden/papers/meeden.cogsci93.pdf which references: https://www.cs.swarthmore.edu/~meeden/cs63/s15/pyrobot.php which references: CS63 Artificial Intelligence Spring 2015 https://www.cs.swarthmore.edu/~meeden/cs63/s15/index.php which references online book: Artificial Intelligence: A Modern Approach http://aima.cs.berkeley.edu/ (online ToC of book, with related resources) https://www.pearsonhighered.com/assets/preface/0/1/3/6/0136042597.pdf (ToC) https://www.cin.ufpe.br/~tfl2/artificial-intelligence-modern-approach.9780131038059.25368.pdf (1995 edition, scanned full text) p.411 subsumption architecture, also discussed in Chapter 25 online code repository: http://aima.cs.berkeley.edu/code.html AIMA Python implementations (with an index of algorithms on that page) https://github.com/aimacode/aima-python