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Key benefits

• Learn the basics of Python in the Jupyter Notebook

• Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn

• Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel

Description

Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data.

Who is this book for?

This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know.

What you will learn

• Install Anaconda and code in Python in the Jupyter Notebook

• Load and explore datasets interactively

• Perform complex data manipulations effectively with pandas

• Create engaging data visualizations with matplotlib and seaborn

• Simulate mathematical models with NumPy

• Visualize and process images interactively in the Jupyter Notebook with scikit-image

• Accelerate your code with Numba, Cython, and IPython.parallel

• Extend the Notebook interface with HTML, JavaScript, and D3

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

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Frequently bought together

IPython Interactive Computing and Visualization Cookbook

$54.99

Learning IPython for Interactive Computing and Data Visualization, Second Edition

$44.99

$48.99

Total $ 148.97

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Amazon verified reviews

Leif C. Ulstrup Nov 29, 2015

This is a great introduction to using the latest version of iPython (aka jupyter notebook). It is well written with a wide range of examples. The examples are at just the right level to get you started and nudge you in the right direction to explore more. I intend to purchase the author's iPython Cookbook with more in depth examples based on the quality of this book.

Amazon Verified review

J. Rice Feb 15, 2018

This is a good read. Many good concise examples.

David E. May 02, 2018

Good primer on Jupyter, IPython, and data science learning.

Jerry Moore Jan 10, 2017

Fun and easy to read. A tutorial.

ruben Dec 26, 2015

This is a great introduction to using the latest version of iPython. It has many examples all of them start from the beginning to the most dificult ones. The book has a great content very easy to understand. I got this information beause it has the most important thing to apply in development programming and data presentation software.Ruben.

Learning IPython for Interactive Computing and Data Visualization, Second Edition: Get started with Python for data analysis and numerical computing in the Jupyter notebook

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