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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
5
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

IPython magics

Magics are special instructions to the IPython interpreter that perform specialized actions. There are two types of magics:

  • Line-oriented: This type of magics start with a single percent (%) sign
  • Cell-oriented: This type of magics start with double percent (%%) signs

We are already familiar with one of the magic command, that is, %pylab inline. This particular magic does two of the following things: it imports NumPy and matplotlib, and sets up the notebook for inline plots. To see one of the other options, change the cell to %pylab.

Run this cell and then run the cell that produces the plot again. Instead of drawing the graph inline, IPython will now open a new window with the plot as shown in the following screenshot:

IPython magics

This window is interactive and you can resize the graph, move it, and save it to a file from here.

Another useful magic is %timeit, which records the time it takes to run a line of Python code. Run the following code in a new cell in the notebook:

%timeit return_on_investment...
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Tech Concepts
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Programming languages
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IPython Notebook Essentials
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