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Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition

Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition

Claus Führer, Jan Erik Solem, Olivier Verdier

E-book
Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.
This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.
By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.
  • 1. Getting Started
  • 2. Variables and Basic Types
  • 3. Container Types
  • 4. Linear Algebra – Arrays
  • 5. Advanced Array Concepts
  • 6. Plotting
  • 7. Functions
  • 8. Classes
  • 9. Iterating
  • 10. Series and Dataframes - Working With Pandas
  • 11. Communication by a Graphical User Interface
  • 12. Error and Exception Handling
  • 13. Namespaces, Scopes, and Modules
  • 14. Input and Output
  • 15. Testing
  • 16. Symbolic Computations - SymPy
  • 17. Interacting with the Operating System
  • 18. Python for Parallel Computing
  • 19. Comprehensive Examples
  • Titel: Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition
  • Autor: Claus Führer, Jan Erik Solem, Olivier Verdier
  • Originaler Titel: Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition
  • ISBN: 9781838825102, 9781838825102
  • Veröffentlichungsdatum: 2021-07-23
  • Format: E-book
  • Artikelkennung: e_2a64
  • Verleger: Packt Publishing