"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. 583101 Bellari IN
Kendriya Vidyalaya Ballari
"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. Bellari, IN
+918050151380 https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/ms.settings/5256837ccc4abf1d39000001/5b928defbda50e15d4c76434-480x480.png" [email protected]
9789391030070- 63f9e42a354814c049a90609 Python Data Visualization Essentials Guide https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/64df4633af1d4c406425cf24/python-data-visualization-essentials-guide-original-imag87phdjsj48jk.jpg Exciting coverage on loads of Python libraries, including Matplotlib, Seaborn, Pandas, and Plotly. Tons of examples, illustrations, and use-cases to demonstrate visual storytelling of varied datasets. Covers a strong fundamental understanding of exploratory data analysis (EDA), statistical modeling, and data mining. DESCRIPTION Data visualization plays a major role in solving data science challenges with various capabilities it offers. This book aims to equip you with a sound knowledge of Python in conjunction with the concepts you need to master to succeed as a data visualization expert. The book starts with a brief introduction to the world of data visualization and talks about why it is important, the history of visualization, and the capabilities it offers. You will learn how to do simple Python-based visualization with examples with progressive complexity of key features. The book starts with Matplotlib and explores the power of data visualization with over 50 examples. It then explores the power of data visualization using one of the popular exploratory data analysis-oriented libraries, Pandas. The book talks about statistically inclined data visualization libraries such as Seaborn. The book also teaches how we can leverage bokeh and Plotly for interactive data visualization. Each chapter is enriched and loaded with 30+ examples that will guide you in learning everything about data visualization and storytelling of mixed datasets. WHAT YOU WILL LEARN Learn to work with popular Python libraries and frameworks, including Seaborn, Bokeh, and Plotly. Relevant Links: Organic Chemistry For Joint Entrance Examination Jee Advanced Part 2 Books OnlineTop Telemarketing Techniques Books OnlineThe Lord God Made Them All Books OnlineComputer Shabdkosh Books OnlineWorld Is What It Is Books OnlineBroken Wings Robin Readers Level 6 Books OnlineMorphology Of Reproductive Organs Of Angiosperms Part I Books OnlineVyakaran Sambodh 4 Books OnlineThe Wish Books Online 9789391030070-
in stock INR 599
BPB Publications
1 5

Python Data Visualization Essentials Guide

Author: Kalilur Rahman

Brand: BPB Publications

₹599


Sold By: trendypaper

Description of product

Exciting coverage on loads of Python libraries, including Matplotlib, Seaborn, Pandas, and Plotly. Tons of examples, illustrations, and use-cases to demonstrate visual storytelling of varied datasets. Covers a strong fundamental understanding of exploratory data analysis (EDA), statistical modeling, and data mining. DESCRIPTION Data visualization plays a major role in solving data science challenges with various capabilities it offers. This book aims to equip you with a sound knowledge of Python in conjunction with the concepts you need to master to succeed as a data visualization expert. The book starts with a brief introduction to the world of data visualization and talks about why it is important, the history of visualization, and the capabilities it offers. You will learn how to do simple Python-based visualization with examples with progressive complexity of key features. The book starts with Matplotlib and explores the power of data visualization with over 50 examples. It then explores the power of data visualization using one of the popular exploratory data analysis-oriented libraries, Pandas. The book talks about statistically inclined data visualization libraries such as Seaborn. The book also teaches how we can leverage bokeh and Plotly for interactive data visualization. Each chapter is enriched and loaded with 30+ examples that will guide you in learning everything about data visualization and storytelling of mixed datasets. WHAT YOU WILL LEARN Learn to work with popular Python libraries and frameworks, including Seaborn, Bokeh, and Plotly. Relevant Links: Organic Chemistry For Joint Entrance Examination Jee Advanced Part 2 Books OnlineTop Telemarketing Techniques Books OnlineThe Lord God Made Them All Books OnlineComputer Shabdkosh Books OnlineWorld Is What It Is Books OnlineBroken Wings Robin Readers Level 6 Books OnlineMorphology Of Reproductive Organs Of Angiosperms Part I Books OnlineVyakaran Sambodh 4 Books OnlineThe Wish Books Online

Renting Guidelines

Specification of Products

Brand BPB Publications

User reviews

  0/5

1 Review

userimage
Engaging and informative guide on Python data visualization. Clear explanations and useful examples make it a must-read for beginners.
Jul 31, 2023 9:36:49 AM