Interactive Data Visualization with Python - Second Edition: Present your data as an effective and compelling story/Abha Belorkar

Descriere YEO:

Interactive Data Visualization with Python - Disponibil la elefant.ro

Pe YEO găsești Interactive Data Visualization with Python de la Packt Publishing, în categoria Foreign Books.

Indiferent de nevoile tale, Interactive Data Visualization with Python - Second Edition: Present your data as an effective and compelling story/Abha Belorkar din categoria Foreign Books îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 422.99 Lei

Caracteristicile produsului Interactive Data Visualization with Python

• Brand: Packt Publishing
• Categoria: Foreign Books
• Magazin: elefant.ro
• Ultima actualizare: 02-06-2026 00:26:10

Comandă Interactive Data Visualization with Python Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda Interactive Data Visualization with Python de la elefant.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features Study and use Python interactive libraries, such as Bokeh and Plotly Explore different visualization principles and understand when to use which one Create interactive data visualizations with real-world data Book Description With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python. You\'ll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You\'ll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you\'ll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You\'ll also gain insight into how interactive data and model visualization can optimize the performance of a regression model. By the end of the course, you\'ll have a new skill set that\'ll make you the go-to person for transforming data visualizations into engaging and interesting stories. What you will learn Explore and apply different interactive data visualization techniques Manipulate plotting parameters and styles to create appealing plots Customize data visualization for different audiences Design data visualizations using interactive libraries Use Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plots Customize data visualization for different scenarios Who this book is for This book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user\'s attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.