Introduction to Python for Science and Engineering
eBook - ePub

Introduction to Python for Science and Engineering

  1. 490 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Introduction to Python for Science and Engineering

About this book

Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and "bottom up," which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed.

Readers will learn the basics of Python syntax, data structures, input and output, conditionals and loops, user-defined functions, plotting, animation, and visualization. They will also learn how to use Python for numerical analysis, including curve fitting, random numbers, linear algebra, solutions to nonlinear equations, numerical integration, solutions to differential equations, and fast Fourier transforms.

Readers learn how to interact and program with Python using JupyterLab and Spyder, two simple and widely used integrated development environments.

All the major Python libraries for science and engineering are covered, including NumPy, SciPy, Matplotlib, and Pandas. Other packages are also introduced, including Numba, which can render Python numerical calculations as fast as compiled computer languages such as C but without their complex overhead.

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Yes, you can access Introduction to Python for Science and Engineering by David J. Pine in PDF and/or ePUB format, as well as other popular books in Computer Science & CAD-CAM. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2024
Print ISBN
9781032650333
eBook ISBN
9781040119631

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 to First Edition
  9. Preface to Second Edition
  10. About the Author
  11. Chapter 1 â–ª Introduction
  12. Chapter 2 â–ª Launching Python
  13. Chapter 3 â–ª Integrated Development Environments
  14. Chapter 4 â–ª Strings, Lists, Arrays, and Dictionaries
  15. Chapter 5 â–ª Input and Output
  16. Chapter 6 â–ª Conditionals and Loops
  17. Chapter 7 â–ª Functions
  18. Chapter 8 â–ª Plotting
  19. Chapter 9 â–ª Numerical Routines: SciPy and NumPy
  20. Chapter 10 â–ª Python Classes: Encapsulation
  21. Chapter 11 â–ª Data Manipulation and Analysis: Pandas
  22. Chapter 12 â–ª Animation
  23. Chapter 13 â–ª Speeding Up Numerical Calculations
  24. Appendix A â–ª Maintaining Your Python Installation
  25. Appendix B â–ª Glossary
  26. Appendix C â–ª Python Resources
  27. Index