Kirthi Raman (16 results)

Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. 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.…

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Digital. Condition: New. No detailed description available for "Python: Data Analytics and Visualization".

Paperback. Condition: New. 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.…

Digital. Condition: New. No detailed description available for "Python: Data Analytics and Visualization".

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnKirthi Raman is currently working as a lead data engineer with Neustar Inc, based in Mclean, Virginia USA. Kirthi has worked on data visualization, with a focus on JavaScript, Python, R, and Java, and is a distinguished en.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explore various tools and their strengths for building meaningful representations for effective data visualization. This book will help you to understand data packed with computational methods and algorithms in diverse fields of science.…

Taschenbuch. Condition: Neu. Mastering Python Data Visualization | Generate effective results in a variety of visually appealing charts using the plotting packages in Python | Kirthi Raman | Taschenbuch | Kartoniert / Broschiert | Englisch | 2015 | Packt Publishing | EAN 9781783988327 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…