python data visualization cookbook di giuseppe vettigli (14 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Digital. Condizione: New. Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualizationAbout This Book. Learn how to set up an optimal Python environment for data visualization. Understand how to import, clean and organize your data. Determine different approaches to data visualization and how to choose the most appropriate for your needsWho This Book Is ForIf you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data then this book is for you.What You Will Learn. Introduce yourself to the essential tooling to set up your working environment. Explore your data using the capabilities of standard Python Data Library and Panda Library. Draw your first chart and customize it. Use the most popular data visualization Python libraries. Make 3D visualizations mainly using mplot3d. Create charts with images and maps. Understand the most appropriate charts to describe your data. Know the matplotlib hidden gems. Use plot.ly to share your visualization onlineIn DetailPython Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts.Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.Style and approachA step-by-step recipe based approach to data visualization. The topics are explained sequentially as cookbook recipes consisting of a code snippet and the resulting visualization.

Condizione: New. pp. 302.

Condizione: New. In.

Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: Used; Very Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.

Condizione: As New. Unread book in perfect condition.

Digital. Condizione: New. Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualizationAbout This Book. Learn how to set up an optimal Python environment for data visualization. Understand how to import, clean and organize your data. Determine different approaches to data visualization and how to choose the most appropriate for your needsWho This Book Is ForIf you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data then this book is for you.What You Will Learn. Introduce yourself to the essential tooling to set up your working environment. Explore your data using the capabilities of standard Python Data Library and Panda Library. Draw your first chart and customize it. Use the most popular data visualization Python libraries. Make 3D visualizations mainly using mplot3d. Create charts with images and maps. Understand the most appropriate charts to describe your data. Know the matplotlib hidden gems. Use plot.ly to share your visualization onlineIn DetailPython Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts.Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.Style and approachA step-by-step recipe based approach to data visualization. The topics are explained sequentially as cookbook recipes consisting of a code snippet and the resulting visualization.

Condizione: New. Print on Demand pp. 302.

Condizione: New. PRINT ON DEMAND pp. 302.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.