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Introduction to Python

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About

Introduction to Python Synopsis

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

About This Edition

ISBN: 9781032119106
Publication date:
Author: David BáezLópez, David Alfredo Báez Villegas
Publisher: Chapman & Hall/CRC an imprint of CRC Press
Format: Paperback
Pagination: 436 pages
Series: Chapman & Hall/CRC the Python Series
Genres: Programming and scripting languages: general
Machine learning
Image processing

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