Introduction to Python
eBook - ePub

Introduction to Python

With Applications in Optimization, Image and Video Processing, and Machine Learning

  1. 452 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Introduction to Python

With Applications in Optimization, Image and Video Processing, and Machine Learning

About this book

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

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Yes, you can access Introduction to Python by David Báez-López,David Alfredo Báez Villegas in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. Preface
  9. Author Biography
  10. 1 Introduction to Python
  11. 2 Conditionals and Loops
  12. 3 Data Structures: Strings, Lists, Tuples, and Dictionaries
  13. 4 Arrays
  14. 5 Functions
  15. 6 Object-Oriented Programming
  16. 7 Reading and Writing to Files
  17. 8 Plotting in Python
  18. 9 Optimization
  19. 10 Image Processing with OpenCV
  20. 11 Machine Learning
  21. 12 Neural Networks
  22. A Installation of Libraries and Packages and Running the 000000 Scripts
  23. Index