Description: Learning IPython for Interactive Computing and Data Visualization : Started With Python for Data Analysis and Numerical Computing in the Jupyter Not, Paperback by Rossant, Cyrille, ISBN 1783986980, ISBN-13 9781783986989, Like New Used, Free shipping in the US Get started with Python for data analysis and numerical computing in the Jupyter notAbout This BookLearn the basics of Python in the Jupyter NotAnalyze and visualize data with pandas, NumPy, matplotlib, and seabornPerform highly-efficient numerical computations with Numba, Cython, and ipyparallelWho 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 LearnInstall Anaconda and code in Python in the Jupyter NotLoad and explore datasets interactivelyPerform complex data manipulations effectively with pandasCreate engaging data visualizations with matplotlib and seabornSimulate mathematical models with NumPyVisualize and process images interactively in the Jupyter Not with scikit-imageAccelerate your code with Numba, Cython, and Extend the Not interface with HTML, JavaScript, and D3In 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 Not 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 Not, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Not, 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 Not.
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Book Title: Learning IPython for Interactive Computing and Data Visualization
Publisher: Packt Publishing, The Limited
Publication Year: 2015
Subject: Computer Graphics, Data Visualization, Databases / Data Mining, Programming Languages / Python
Number of Pages: 200 Pages
Language: English
Publication Name: Learning Ipython for Interactive Computing and Data Visualization-Second Edition
Type: Textbook
Subject Area: Computers
Author: Cyrille Rossant
Format: Trade Paperback
