2. The Notebook Interface | IPython Notebook Essentials

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Table Of Contents

IPython Notebook Essentials

By : Martins

3.7 (3)

IPython Notebook Essentials

3.7 (3)

By: Martins

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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. A Tour of the IPython Notebook

1. A Tour of the IPython Notebook

Getting started with Anaconda or Wakari

Running the notebook

Example – the coffee cooling problem

Exercises

Summary

2. The Notebook Interface

2. The Notebook Interface

Editing and navigating a notebook

IPython magics

Interacting with the operating system

Running scripts, loading data, and saving data

The rich display system

Summary

3. Graphics with matplotlib

3. Graphics with matplotlib

The plot function

Three-dimensional plots

Animations

Summary

4. Handling Data with pandas

4. Handling Data with pandas

The Series class

The DataFrame class

Computational and graphics tools

An example with a realistic dataset

Summary

5. Advanced Computing with SciPy, Numba, and NumbaPro

5. Advanced Computing with SciPy, Numba, and NumbaPro

Overview of SciPy

Advanced mathematical algorithms with SciPy

Accelerating computations with Numba and NumbaPro

Summary

A. IPython Notebook Reference Card

Starting the notebook

Keyboard shortcuts

Importing modules

Getting help

B. A Brief Review of Python

Introduction

Basic types, expressions, and variables and their assignment

Sequence types

Dictionaries

Control structures

Summary

C. NumPy Arrays

Introduction

Array creation and member access

Indexing and Slicing

Index

Index

Editing and navigating a notebook

When we open a notebook (by either clicking on its name in the dashboard or creating a new notebook), we see the following in the browser window:

In the preceding screenshot, from the top to the bottom, we see the following components:

The Title bar (area marked 1) that contains the name of the notebook (in the preceding example, we can see Chapter 2) and information about the notebook version
The Menu bar (area marked 2) looks like a regular application menu
The Toolbar (area marked 3) is used for quick access to the most frequently used functionality
In the area marked 4, an empty computation cell is shown

Starting with IPython Version 2.0, the notebook has two modes of operation:

Edit: In this mode, a single cell comes into focus and we can enter text, execute code, and perform tasks related to that single cell. The Edit mode is activated by clicking on a cell or pressing the Enter key.
Command: In this mode, we perform tasks related to the whole notebook...

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83

Tech Concepts

36

Programming languages

73

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