lizhen-dlut/StarterLearningPython
Learning Python: from Starter to Master. http://www.itdiffer.com
Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.
This repository is cataloged as part of our automated global GitHub synchronization. Full telemetry, velocity snapshots, and code summaries are scheduled for continuous enrichment.
Learning Python: from Starter to Master. http://www.itdiffer.com
Distributed Evolutionary Algorithms in Python
Pyevolve
Statistical data visualization using matplotlib