9781783986989-1783986980-Learning IPython for Interactive Computing and Data Visualization: Started With Python for Data Analysis and Numerical Computing in the Jupyter Notebook

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

ISBN-13: 9781783986989
ISBN-10: 1783986980
Edition: 2
Author: Cyrille Rossant
Publication date: 2015
Publisher: Packt Pub Ltd
Format: Paperback 178 pages
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Book details

ISBN-13: 9781783986989
ISBN-10: 1783986980
Edition: 2
Author: Cyrille Rossant
Publication date: 2015
Publisher: Packt Pub Ltd
Format: Paperback 178 pages

Summary

Learning IPython for Interactive Computing and Data Visualization: Started With Python for Data Analysis and Numerical Computing in the Jupyter Notebook (ISBN-13: 9781783986989 and ISBN-10: 1783986980), written by authors Cyrille Rossant, was published by Packt Pub Ltd in 2015. With an overall rating of 4.3 stars, it's a notable title among other Data Processing (Databases & Big Data) books. You can easily purchase or rent Learning IPython for Interactive Computing and Data Visualization: Started With Python for Data Analysis and Numerical Computing in the Jupyter Notebook (Paperback, Used) from BooksRun, along with many other new and used Data Processing books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Get started with Python for data analysis and numerical computing in the Jupyter notebookAbout This BookLearn the basics of Python in the Jupyter NotebookAnalyze and visualize data with pandas, NumPy, matplotlib, and seabornPerform highly-efficient numerical computations with Numba, Cython, and ipyparallelWho This Book Is ForThis 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 NotebookLoad and explore datasets inter

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