Mastering Python Data Visualization

Langue : anglais

Edité par Packt Publishing Limited, GB, 2015

1783988320 / 9781783988327

Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK

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Generate effective results in a variety of visually appealing charts using the plotting packages in PythonAbout This Book. Explore various tools and their strengths while building meaningful representations that can make it easier to understand data. Packed with computational methods and algorithms in diverse fields of science. Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuseWho This Book Is ForIf you are a Python developer who performs data visualization and wants to develop existing knowledge about Python to build analytical results and produce some amazing visual display, then this book is for you. A basic knowledge level and understanding of Python libraries is assumed.What You Will Learn. Gather, cleanse, access, and map data to a visual framework. Recognize which visualization method is applicable and learn best practices for data visualization. Get acquainted with reader-driven narratives and author-driven narratives and the principles of perception. Understand why Python is an effective tool to be used for numerical computation much like MATLAB, and explore some interesting data structures that come with it. Explore with various visualization choices how Python can be very useful in computation in the field of finance and statistics. Get to know why Python is the second choice after Java, and is used frequently in the field of machine learning. Compare Python with other visualization approaches using Julia and a JavaScript-based framework such as D3.js. Discover how Python can be used in conjunction with NoSQL such as Hive to produce results efficiently in a distributed environmentIn DetailPython has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, biological sciences, social science, health care, and many more. The variety of tools and approaches available within Python community is stunning, and can bolster and enhance visual story experiences.This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, which explains the transformation of data into information and eventually knowledge, this book subsequently covers the complete visualization process using the most popular Python libraries with working examples. You will learn the usage of Numpy, Scipy, IPython, MatPlotLib, Pandas, Patsy, and Scikit-Learn with a focus on generating results that can be visualized in many different ways. Further chapters are aimed at not only showing advanced techniques such as interactive plotting; numerical, graphical.…

N° de réf. du vendeur LU-9781783988327

Titre
Mastering Python Data Visualization
Auteur
Kirthi Raman
Éditeur
Packt Publishing Limited, GB
Année de publication
2015
État de l'article
New
Reliure
Paperback
Langue
anglais
ISBN à 10 chiffres
1783988320
ISBN à 13 chiffres
9781783988327
Dimensions
23.5 x 19.1 x 1.97 cm

Rarewaves.com UK

London, Royaume-Uni

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 11 juin 2025

Frais d'expédition de Royaume-Uni vers Etats-Unis

Article60 à 60 jours ouvrés60 à 60 jours ouvrés
Premier articleEUR 75,57EUR 116,26
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