Learning IPython for Interactive Computing and Data Visualization: Started With Python for Data Analysis and Numerical Computing in the Jupyter Notebook

Rossant, Cyrille

ISBN 10: 1783986980 / ISBN 13: 9781783986989

Edité par Packt Pub Ltd, 2015

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Ships in a BOX from Central Missouri! Like Brand NEW. No tears, highlighting or writing because it's never been used! May have minor shelf wear. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). N° de réf. du vendeur 006052411N

Détails bibliographiques

Titre : Learning IPython for Interactive Computing ...

Éditeur : Packt Pub Ltd

Date d'édition : 2015

Reliure : paperback

Etat : Like New

Edition : 2nd Edition.

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Présentation de l'éditeur:

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.