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Astronomical Python

Regular price £60.00
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Over the past two decades, Python has become the de facto standard language of data science both in industry and astronomy (with the exception of simulations and other extreme scale computing probl...
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  • 17 May 2024
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Over the past two decades, Python has become the de facto standard language of data science both in industry and astronomy (with the exception of simulations and other extreme scale computing problems). This course text is a full introduction to programming in Python with an explicit focus on astrophysical applications. The book covers the fundamentals of Python, including the native data types and operations, and how the language, interpreter, and operating system work together. Leaning heavily on standard packages used in astronomy, the book covers the installation and basic structure of the language and libraries; script writing, conditional statements, loops, and other code structures that allow for complex outcome management; the creation and use of functions and classes within Python; the creation of packages and the methods for re-using, importing, and otherwise standardizing code; and plotting. Finally, the book contains several higher level chapters that carry students from the beginner stage of programming into the intermediate.

Key Features

  • Provides a comprehensive but accessible introduction to astronomy with Python for beginner undergraduate students
  • Includes modern, worked out examples using real astronomical data
  • Includes interactivity, including with various coding examples
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Price: £60.00
Pages: 400
Publisher: Institute of Physics Publishing
Imprint: Institute of Physics Publishing
Publication Date: 17 May 2024
ISBN: 9780750351478
Format: eBook
BISACs:

SCIENCE / Space Science / Astronomy, Astronomical observation: observatories, equipment and methods, SCIENCE / Physics / Mathematical & Computational, Mathematical physics

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1 Introduction

Part I Unix and Basic Python

2 Essential Unix Skills

3 Installing Python and the Astronomy Stack

4 Introduction to Python

Part II Core Research Libraries

5 Visualization with Matplotlib

6 Numpy

7 SciPy

8 Astropy and Associated Packages

Part III Intermediate Applications and Patterns

9 Functions and Functional Programming

10 Classes and Object Oriented Programming

11 Data Science with Astronomical Catalogs

12 Vectorization and Runtime Improvements

13 Astronomical Inference

14 Software Development

15 Conclusions and Next Steps