Introduction to Python: with Applications in Optimization Image and Video Processing and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics computer science and engineering. In addition to this the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance IT and many other industries where programming is a useful or essential tool. The book is written to be accessible and useful to those with no prior experience of Python but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book. Features Covers introductory and advanced material. Advanced material includes lists dictionaries tuples arrays plotting using Matplotlib object-oriented programming Suitable as a textbook for advanced undergraduates or postgraduates or as a reference for researchers and professionals Solutions manual code and additional examples are available for download |Introduction to Python With Applications in Optimization Image and Video Processing and Machine Learning | Mathematics
