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  • Book Overview & Buying IPython Notebook Essentials
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IPython Notebook Essentials

IPython Notebook Essentials

By : Martins
3.7 (3)
Buy this Book
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IPython Notebook Essentials

IPython Notebook Essentials

3.7 (3)
By: Martins
Buy this Book

Overview of this book

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.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. A Tour of the IPython Notebook
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1. A Tour of the IPython Notebook
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Getting started with Anaconda or Wakari
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Running the notebook
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Example – the coffee cooling problem
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Exercises
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Summary
2
2. The Notebook Interface
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2. The Notebook Interface
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Editing and navigating a notebook
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IPython magics
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Interacting with the operating system
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Running scripts, loading data, and saving data
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The rich display system
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Summary
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3. Graphics with matplotlib
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3. Graphics with matplotlib
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The plot function
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Three-dimensional plots
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Animations
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Summary
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4. Handling Data with pandas
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4. Handling Data with pandas
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The Series class
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The DataFrame class
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Computational and graphics tools
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An example with a realistic dataset
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Summary
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5. Advanced Computing with SciPy, Numba, and NumbaPro
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5. Advanced Computing with SciPy, Numba, and NumbaPro
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Overview of SciPy
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Advanced mathematical algorithms with SciPy
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Accelerating computations with Numba and NumbaPro
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Summary
6
A. IPython Notebook Reference Card
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Starting the notebook
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Keyboard shortcuts
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Importing modules
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Getting help
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B. A Brief Review of Python
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Introduction
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Basic types, expressions, and variables and their assignment
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Sequence types
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Dictionaries
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Control structures
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Summary
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C. NumPy Arrays
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Introduction
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Array creation and member access
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Indexing and Slicing
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Index
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Index

Interacting with the operating system

Any code with some degree of complexity will interact with the computer's operating system when files must be opened and closed, scripts must be run, or online data must be accessed. Plain Python already has a lot of tools to access these facilities, and IPython and the notebook add another level of functionality and convenience.

Saving the notebook

The notebook is autosaved in periodic intervals. The default interval is 2 minutes, but this can be changed in the configuration files or using the %autosave magic. For example, to change the autosave interval to 5 minutes, run the following command:

%autosave 300

Notice that the time is entered in seconds. To disable the autosave feature, run the following command:

%autosave 0

We can also save the notebook using the File menu or by clicking on the disk icon on the toolbar. This creates a checkpoint. Checkpoints are stored in a hidden folder and can be restored from the File menu. Notice that only the latest...

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Tech Concepts
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Programming languages
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IPython Notebook Essentials
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