Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Scientific Computing with Python 3

Buy

Key Features

  • Your ultimate resource for getting up and running with Python numerical computations
  • Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
  • A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts

Book Description

Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.

What you will learn

  • The principal syntactical elements of Python
  • The most important and basic types in Python
  • The essential building blocks of computational mathematics, linear algebra, and related Python objects
  • Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results
  • Define and use functions and learn to treat them as objects
  • How and when to correctly apply object-oriented programming for scientific computing in Python
  • Handle exceptions, which are an important part of writing reliable and usable code
  • Two aspects of testing for scientific programming: Manual and Automatic

About the Author

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University’s Faculty of Engineering Best Teacher Award in 2016.

Jan Erik Solem is a Python enthusiast, former associate professor, and currently the CEO of Mapillary, a street imagery computer vision company. He has previously worked as a face recognition expert, founder and CTO of Polar Rose, and computer vision team leader at Apple. Jan is a World Economic Forum technology pioneer and won the Best Nordic Thesis Award 2005-2006 for his dissertation on image analysis and pattern recognition. He is also the author of "Programming Computer Vision with Python" (O'Reilly 2012).

Olivier Verdier began using Python for scientific computing back in 2007 and received a PhD in mathematics from Lund University in 2009. He has held post-doctoral positions in Cologne, Trondheim, Bergen, and Umeå and is now an associate professor of mathematics at Bergen University College, Norway.

Table of Contents

  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. Error Handling
  11. Namespaces, Scopes, and Modules
  12. Input and Output
  13. Testing
  14. Comprehensive Examples
  15. Symbolic Computations - SymPy
  16. References
(HTML tags aren't allowed.)

The Concise Encyclopedia of Communication
The Concise Encyclopedia of Communication

This concise volume presents key concepts and entries from the twelve-volume ICA International Encyclopedia of Communication (2008), condensing leading scholarship into a practical and valuable single volume.

  • Based on the definitive twelve-volume IEC, this new concise edition presents key concepts and the most...
PHP Development in the Cloud
PHP Development in the Cloud
This book is the result of two people’s interest in both PHP and cloud computing. It explains to PHP developerswhat they need to knowto not only understand the cloud concept, but to be able to put it to good use.To accomplish this, wemix explanations of cloud concepts with practical examples. All of the code snippets in this...
Introduction to Computation and Programming Using Python
Introduction to Computation and Programming Using Python

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of "data...


Real World Haskell
Real World Haskell

Haskell is a deep language; we think learning it is a hugely rewarding experience. We will focus on three elements as we explain why. The first is novelty: we invite you to think about programming from a different and valuable perspective. The second is power: we’ll show you how to create software that is short, fast, and safe....

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.

The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data...
GWT in Practice
GWT in Practice
If you're a web developer, you know that you can use Ajax to add rich, user-friendly, dynamic features to your applications. With the Google Web Toolkit (GWT), a new Ajax tool from Google that automatically converts Java to JavaScript, you can build Ajax applications using the Java language.

GWT in Practice is an example-driven,...

©2020 LearnIT (support@pdfchm.net) - Privacy Policy