Learning IPython for Interactive Computing and Data Visualization - Softcover

Rossant, Cyrille

  • 3.63 out of 5 stars
    67 ratings by Goodreads
 
9781782169932: Learning IPython for Interactive Computing and Data Visualization
Softcover
ISBN 10: 1782169938 ISBN 13: 9781782169932
Publisher: Packt Publishing, 2013

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.

"synopsis" may belong to another edition of this title.

About the Author

Cyrille Rossant

Cyrille Rossant is a French researcher in quantitative neuroscience. A graduate of the Ecole Normale Supérieure, Paris, he holds a Master's degree and a Ph.D. in Mathematics and Computer Science. He uses IPython every day to model and simulate the brain and to analyze experimental data. He is the creator of a few scientific Python packages, including Playdoh (parallel computing) and Galry (high-performance interactive visualization).

"About this title" may belong to another edition of this title.

Publisher
Packt Publishing
Publication date
2013
Language
English
ISBN 10 
1782169938
ISBN 13 
9781782169932
Binding
Paperback
Number of pages
138
Rating
  • 3.63 out of 5 stars
    67 ratings by Goodreads

Other Popular Editions of the Same Title

9789351103721: Learning IPython for Interactive Computing and Data Visualization

Featured Edition

ISBN 10:  9351103722 ISBN 13:  9789351103721
Publisher: Shroff Publishers & Distribu..., 2013
Softcover