1. Python Data Visualization Essentials Guide
Author: Kalilur Rahman
Price: $20.95
If you aspire to become an expert in data visualization, “Python Data Visualization Essentials Guide” is a comprehensive resource that not only provides foundational knowledge but also deep dives into essential libraries such as Pandas, Matplotlib, Seaborn, Plotly, Numpy, and Bokeh. This guide takes you through practical examples to develop your skills and transform data into meaningful visual storytelling. With each chapter, readers gain insights into crafting compelling visual narratives, making it a must-read for anyone in data science.
2. Pythonインタラクティブデータ可視化入門
Author: @driller
Price: $69.21
This unique book provides a deep understanding of advanced data visualization techniques using Plotly and Dash. As a gateway into the world of interactive web applications, it guides practitioners on leveraging the full potential of Python for creating interactive dashboards. This book is perfect for both developers and data scientists looking to take their visual analytics to the next level.
3. Getting Started with DuckDB
Authors: Simon Aubury, Ned Letcher
Price: $43.99
Data professionals constantly seek efficient methods to streamline their workflows, and “Getting Started with DuckDB” is an indispensable resource in this regard. It offers a practical approach to accelerate your data science, analytics, and engineering tasks. Readers will appreciate the step-by-step insights that help to familiarize them with DuckDB’s powerful functionalities. This book is a game changer for anyone serious about optimizing their data-driven projects.
4. 35 Ejercicios para aprender Plotly
Author: Reinventors Republic
Price: $8.99
This Spanish edition book makes learning Plotly engaging and interactive through 35 carefully designed exercises. Each exercise is geared toward establishing a strong foundation in creating data visualizations with Plotly from scratch. This resource is invaluable for both beginners and professionals who are looking to refresh their knowledge and skills in an accessible manner.
5. Python For Data Visualization
Author: Declan Ashford
Price: $6.99
This book serves as an excellent introduction to Python’s visualization libraries, including Matplotlib, Seaborn, Plotly, and Bokeh. Readers will find numerous examples that illustrate how to create stunning visualizations and extract actionable insights from their datasets. Whether you’re a beginner or looking to deepen your understanding, this book is a crucial addition to your learning library.
6. Python interactive 3D data visualization tips
Author: r
Price: $3.02
Delving into the exciting world of 3D data visualization, this book offers innovative tips for utilizing Matplotlib and Plotly. By exploring different ways to visualize complex datasets in three dimensions, readers can discover valuable techniques to enhance their data presentation skills. An excellent choice for those interested in pushing the boundaries of traditional data visualization.
7. Data Visualization in R and Python
Author: Marco Cremonini
Price: $116.00
This authoritative book bridges the gap between R and Python for data visualization. It discusses best practices in crafting visualizations that effectively communicate data insights. This comprehensive resource is ideal for data scientists who wish to leverage both programming languages to become adept at visual storytelling.
8. Python smart analytics dashboard tricks
Author: r
Price: $3.10
Focused on Bokeh and Plotly, this book presents savvy techniques for building analytics dashboards. The reader will learn tricks to create dynamic data-driven interfaces that enhance user experience. This resource is particularly useful for web developers and data analysts aiming to make robust data visualizations.
9. Data Visualization Lies
Authors: Suraj Jha, Suraj Jha
Price: $10.00
This thought-provoking book takes a critical look at common misconceptions in data visualization. It addresses the prevalent misunderstandings that can lead to misleading interpretations of data and offers strategies to correct them. A must-read for anyone interested in data integrity and effective communication through visuals.
10. Tips for interactive data visualization in Python
Author: r
Price: $3.05
This Japanese edition serves as a practical guide for developing dynamic data analysis applications through Plotly and Dash. Providing tips for creating interactive visualizations, it is essential reading for those looking to engage users in their data explorations effectively.
