1 option
Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / Claus Führer, Jan Erik Solem, Olivier Verdier.
- Format:
- Book
- Author/Creator:
- Führer, Claus.
- Language:
- English
- Subjects (All):
- Application software--Development.
- Application software.
- Python (Computer program language).
- Physical Description:
- 1 online resource (ix, 375 p.) : ill.
- Edition:
- 2nd ed.
- Place of Publication:
- Birmingham : Packt, 2021.
- Summary:
- 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.
- Contents:
- Chapter 1: Getting Started
- Chapter 2: Variables and Basic Types
- Chapter 3: Container Types
- Chapter 4: Linear Algebra - Arrays
- Chapter 5: Advanced Array Concepts
- Chapter 6: Plotting
- Chapter 7: Functions
- Chapter 8: Classes
- Chapter 9: Iterating
- Chapter 10: Series and Dataframes - Working with Pandas
- Chapter 11: Communication by a Graphical User Interface
- Chapter 12: Error and Exception Handling
- Chapter 13: Namespaces, Scopes, and Modules
- Chapter 14: Input and Output
- Chapter 15: Testing
- Chapter 16: Symbolic Computations - SymPy
- Chapter 17: Interacting with the Operating System
- Chapter 18: Python for Parallel Computing
- Chapter 19: Comprehensive Examples
- References
- Index.
- Notes:
- First published December 2016.
- ISBN:
- 9781838825102 (e-book)
- 9781838822323 (pbk.)
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.