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Bibliographic Details

Title: Learning IPython for Interactive Computing and Data Visualization: Started With Python for Data Analysis and Numerical Computing in the Jupyter Notebook
Publisher: Packt Pub Ltd
Publication Date: 2015
Language: English
ISBN 10: 1783986980
ISBN 13: 9781783986989
Binding: paperback
Edition: 2nd Edition
Condition: Very Good

About this title

Synopsis

Get started with Python for data analysis and numerical computing in the Jupyter notebook

About This Book

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

Who This Book Is 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

In Detail

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.

Style and approach

This is a hands-on beginner-friendly guide to analyze and visualize data on real-world examples with Python and the Jupyter Notebook.

About the Author

Cyrille Rossant

Cyrille Rossant is a researcher in neuroinformatics, and is a graduate of Ecole Normale Superieure, Paris, where he studied mathematics and computer science. He has worked at Princeton University, University College London, and College de France. As part of his data science and software engineering projects, he gained experience in machine learning, high-performance computing, parallel computing, and big data visualization. He is one of the main developers of VisPy, a high-performance visualization package in Python. He is the author of the IPython Interactive Computing and Visualization Cookbook, Packt Publishing, an advanced-level guide to data science and numerical computing with Python, and the sequel of this book.

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