IPython notebook essentials : compute scientific data and execute code interactively with NumPy and SciPy / L. Felipe Martins ; cover image by Duraid Fatouhi.

Format:

Book

Author/Creator:

Martins, L. Felipe, author.

Contributor:

Fatouhi, Duraid, cover designer.

Series:

Community experience distilled.

Community Experience Distilled

Language:

English

Subjects (All):

Python (Computer program language).

Command languages (Computer science).

Physical Description:

1 online resource (190 p.)

Edition:

1st ed.

Place of Publication:

Birmingham, England : Packt Publishing, 2014.

Language Note:

English

Summary:

If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.

Contents:

Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: A Tour of the IPython Notebook; Getting started with Anaconda or Wakari; Installing Anaconda; Running the notebook; Creating a Wakari account; Creating your first notebook; Example - the coffee cooling problem; Exercises; Summary; Chapter 2: The Notebook Interface; Editing and navigating a notebook; Getting help and interrupting computations; The Edit mode; The Command mode; Cell types; IPython magics; Interacting with the operating system; Saving the notebook

Converting the notebook to other formatsRunning shell commands; Running scripts, loading data, and saving data; Running Python scripts; Running scripts in other languages; Loading and saving data; The rich display system; Images and YouTube videos; HTML; Summary; Chapter 3: Graphics with Matplotlib; The plot function; Adding a title, labels, and a legend; Text and annotations; Three-dimensional plots; Animations; Summary; Chapter 4: Handling Data with pandas; The Series class; The DataFrame class; Computational and graphics tools; An example with a realistic dataset; Summary

Chapter 5: Advanced Computing with SciPy, Numba, and NumbaProOverview of SciPy; Advanced mathematical algorithms with SciPy; Solving equations and finding optimal values; Calculus and differential equations; Accelerating computations with Numba and NumbaPro; Summary; Appendix A: IPython Notebook Reference Card; Starting the notebook; Keyboard shortcuts; Shortcuts in the Edit mode; Shortcuts in the Command mode; Importing modules; Getting help; Appendix B: A Brief Review of Python; Introduction; Basic types, expressions, and variables and their assignment; Sequence types; Lists; Tuples

StringsDictionaries; Control structures; Functions, objects, and methods; Functions; Objects and methods; Summary; Appendix C: NumPy Arrays; Introduction; Array creation and member access; Indexing and Slicing; Index

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed December 16, 2014).

ISBN:

9781783988358

1783988355