An Introduction to Python Programming for Scientists and Engineers 1st Edition by Johnny Wei Bing Lin, Hannah Aizenman, Erin Manette Cartas Espinel, Kim Gunnerson, Joanne Liu ISBN 1108753485 9781108753487

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ISBN 10: 1108753485

ISBN 13: 978-1108753487

Author:  Johnny Wei-Bing Lin, Hannah Aizenman, Erin Manette Cartas Espinel, Kim Gunnerson, Joanne Liu 

An Introduction to Python Programming for Scientists and Engineers 1st Edition: 

An Introduction to Python Programming for Scientists and Engineers 1st Edition Table of contents:

Part I: Getting Basic Tasks Done

1. Prologue: Preparing to Program

   • 1.1 What Is a Program and Why Learn to Program?
   • 1.2 What Is Python and Why Learn This Language?
   • 1.3 Software We Will Need

2. Python as a Basic Calculator

   • 2.1 Example of Python as a Basic Calculator
   • 2.2 Python Programming Essentials
   • 2.3 Try This!
   • 2.4 More Discipline-Specific Practice
   • 2.5 Chapter Review

3. Python as a Scientific Calculator

   • 3.1 Example of Python as a Scientific Calculator
   • 3.2 Python Programming Essentials
   • 3.3 Try This!
   • 3.4 More Discipline-Specific Practice
   • 3.5 Chapter Review

4. Basic Line and Scatter Plots

   • 4.1 Example of Making Basic Line and Scatter Plots
   • 4.2 Python Programming Essentials
   • 4.3 Try This!
   • 4.4 More Discipline-Specific Practice
   • 4.5 Chapter Review

5. Customized Line and Scatter Plots

   • 5.1 Example of Customizing Line Plots
   • 5.2 Python Programming Essentials
   • 5.3 Try This!
   • 5.4 More Discipline-Specific Practice
   • 5.5 Chapter Review

6. Basic Diagnostic Data Analysis

   • 6.1 Example of Basic Diagnostic Data Analysis
   • 6.2 Python Programming Essentials
   • 6.3 Try This!
   • 6.4 More Discipline-Specific Practice
   • 6.5 Chapter Review

7. Two-Dimensional Diagnostic Data Analysis

   • 7.1 Example of Two-Dimensional Diagnostic Data Analysis
   • 7.2 Python Programming Essentials
   • 7.3 Try This!
   • 7.4 More Discipline-Specific Practice
   • 7.5 Chapter Review

8. Basic Prognostic Modeling

   • 8.1 Example of a Basic Prognostic Model
   • 8.2 Python Programming Essentials
   • 8.3 Try This!
   • 8.4 More Discipline-Specific Practice
   • 8.5 Chapter Review

9. Reading In and Writing Out Text Data

   • 9.1 Example of Reading In and Writing Out Text Data
   • 9.2 Python Programming Essentials
   • 9.3 Try This!
   • 9.4 More Discipline-Specific Practice
   • 9.5 Chapter Review

10. Managing Files, Directories, and Programs

    • 10.1 Example of Managing Files, Directories, and Programs
    • 10.2 Python Programming Essentials
    • 10.3 Try This!
    • 10.4 More Discipline-Specific Practice
    • 10.5 Chapter Review

Part II: Doing More Complex Tasks

11. Segue: How to Write Programs

    • 11.1 From Blank Screen to Program: A Process to Follow
    • 11.2 The Importance of Testing
    • 11.3 The Importance of Style Conventions

12. n-Dimensional Diagnostic Data Analysis

    • 12.1 Example of n-Dimensional Diagnostic Data Analysis
    • 12.2 Python Programming Essentials
    • 12.3 Try This!
    • 12.4 More Discipline-Specific Practice
    • 12.5 Chapter Review

13. Basic Image Processing

    • 13.1 Example of Image Processing
    • 13.2 Python Programming Essentials
    • 13.3 Try This!
    • 13.4 More Discipline-Specific Practice
    • 13.5 Chapter Review

14. Contour Plots and Animation

    • 14.1 Example of Making Contour Plots and Animations
    • 14.2 Python Programming Essentials
    • 14.3 Try This!
    • 14.4 More Discipline-Specific Practice
    • 14.5 Chapter Review

15. Handling Missing Data

    • 15.1 Example of Handling Missing Data
    • 15.2 Python Programming Essentials
    • 15.3 Try This!
    • 15.4 More Discipline-Specific Practice
    • 15.5 Chapter Review

Part III: Advanced Programming Concepts

1. More Data and Execution Structures
   • 16.1 Example of Using More Advanced Data and Execution Structures
   • 16.2 Python Programming Essentials
   • 16.3 Try This!
   • 16.4 More Discipline-Specific Practice
   • 16.5 Chapter Review
2. Classes and Inheritance

• • 17.1 Examples of Classes and Inheritance
  • 17.2 Python Programming Essentials
  • 17.3 Try This!
  • 17.4 More Discipline-Specific Practice
  • 17.5 Chapter Review

1.  More Ways of Storing Information in Files

• • 18.1 Examples of Using Other File Formats
  • 18.2 Python Programming Essentials
  • 18.3 Try This!
  • 18.4 More Discipline-Specific Practice
  • 18.5 Chapter Review

1.  Basic Searching and Sorting

• • 19.1 Examples of Searching and Sorting
  • 19.2 Python Programming Essentials
  • 19.3 Try This!
  • 19.4 More Discipline-Specific Practice
  • 19.5 Chapter Review

20. Recursion

• • 20.1 Example of Recursion
  • 20.2 Python Programming Essentials
  • 20.3 Try This!
  • 20.4 More Discipline-Specific Practice
  • 20.5 Chapter Review

Part IV: Going from a Program Working to Working Well

21. Make It Usable to Others: Documentation and Sphinx

• • 21.1 Introduction
  • 21.2 Principles of Documenting
  • 21.3 General Convention for Docstrings: The NumPy Format
  • 21.4 The Sphinx Documentation Generator

22. Make It Fast: Performance

• • 22.1 Introduction
  • 22.2 Preliminaries
  • 22.3 Finding the Bottlenecks Using Profilers
  • 22.4 Fixing the Bottlenecks
  • 22.5 Pitfalls When Trying to Improve Performance

23. Make It Correct: Linting and Unit Testing

• • 23.1 Introduction
  • 23.2 Linting
  • 23.3 Unit Testing
  • 23.4 The “Test-Driven Development” Process

24. Make It Manageable: Version Control and Build Management

• • 24.1 Introduction
  • 24.2 Version Control
  • 24.3 Packaging
  • 24.4 Build Management and Continuous Integration

25. Make It Talk to Other Languages

• • 25.1 Introduction
  • 25.2 Talking with Fortran Programs
  • 25.3 Talking with C/C++ Programs

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