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Effective computation in physics /
More physicists today are taking on the role of software developer as part of their research, but software development isn{u2019}t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of r...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
2015.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Scopatz, Anthony, |e author. | |
| 245 | 1 | 0 | |a Effective computation in physics / |c Anthony Scopatz and Kathryn D. Huff. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, |c 2015. | |
| 300 | |a 1 online resource | ||
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| 500 | |a "Field guide to research with Python"--Cover. | ||
| 504 | |a Includes bibliographical references and index. | ||
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| 505 | 0 | |a Copyright; Table of Contents; Foreword; Preface; What Is This Book?; Who This Book Is For; Who This Book Is Not For; Case Study on How to Use This Book: Radioactive Decay Constants; Accessing Data and Libraries; Creating a Simple Program; Automating Data Collection; Analyzing and Plotting the Data; Keeping Track of Changes; Testing the Code; Documenting the Code; Publishing; What to Do While Reading This Book; Conventions Used in This Book; Using Code Examples; Installation and Setup; Step 1: Download and Install Miniconda (or Anaconda); Step 2: Install the Packages; Safari® Books Online. | |
| 505 | 8 | |a How to Contact UsAcknowledgments; Part I. Getting Started; Chapter 1. Introduction to the Command Line; Navigating the Shell; The Shell Is a Programming Language; Paths and pwd; Home Directory ()̃; Listing the Contents (ls); Changing Directories (cd); File Inspection (head and tail); Manipulating Files and Directories; Creating Files (nano, emacs, vi, cat,>, and touch); Copying and Renaming Files (cp and mv); Making Directories (mkdir); Deleting Files and Directories (rm); Flags and Wildcards; Getting Help; Reading the Manual (man); Finding the Right Hammer (apropos). | |
| 505 | 8 | |a String ConcatenationString Literals; String Methods; Modules; Importing Modules; Importing Variables from a Module; Aliasing Imports; Aliasing Variables on Import; Packages; The Standard Library and the Python Ecosystem; Python Wrap-up; Chapter 3. Essential Containers; Lists; Tuples; Sets; Dictionaries; Containers Wrap-up; Chapter 4. Flow Control and Logic; Conditionals; if-else Statements; if-elif-else Statements; if-else Expression; Exceptions; Raising Exceptions; Loops; while Loops; for Loops; Comprehensions; Flow Control and Logic Wrap-up; Chapter 5. Operating with Functions. | |
| 505 | 8 | |a Functions in PythonKeyword Arguments; Variable Number of Arguments; Multiple Return Values; Scope; Recursion; Lambdas; Generators; Decorators; Function Wrap-up; Chapter 6. Classes and Objects; Object Orientation; Objects; Classes; Class Variables; Instance Variables; Constructors; Methods; Static Methods; Duck Typing; Polymorphism; Decorators and Metaclasses; Object Orientation Wrap-up; Part II. Getting It Done; Chapter 7. Analysis and Visualization; Preparing Data; Experimental Data; Simulation Data; Metadata; Loading Data; NumPy; PyTables; Pandas; Blaze; Cleaning and Munging Data. | |
| 520 | |a More physicists today are taking on the role of software developer as part of their research, but software development isn{u2019}t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You{u2019}ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures. | ||
| 542 | |f Copyright © O'Reilly Media, Inc. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 700 | 1 | |a Huff, Kathryn D., |e author. | |
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