Interactive Applications Using Matplotlib
Book Details
| Author | Benjamin V. Root |
|---|---|
| Publisher | Packt Publishing |
| Published Year | 2015 |
| Pages | 174 |
| Language | English |
| ISBN-10 | 1783988843 |
| ISBN-13 | 978-1783988846 |
Interactive Applications Using Matplotlib by Benjamin V. Root is a practical guide that explores how to create dynamic and responsive data visualizations using the Matplotlib library in Python. It covers interactive plotting techniques, embedding plots in GUIs, event handling, and integrating with tools like Jupyter and web frameworks. Aimed at developers, analysts, and scientists, this book helps transform static charts into interactive applications for better data exploration and presentation.
Add to Bookmark
Recommended Books For You
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
Tutorials
Follow us on Linkedin
Random Blogs
- The Ultimate Guide to Artificial Intelligence (AI) for Beginners
- Understanding LLMs (Large Language Models): The Ultimate Guide for 2025
- Datasets for Natural Language Processing
- What Is SEO and Why Is It Important?
- The Beginner’s Guide to Normalization and Denormalization in Databases
- Convert RBG Image to Gray Scale Image Using CV2
- How Multimodal Generative AI Will Change Content Creation Forever
- Python Challenging Programming Exercises Part 1
- Datasets for analyze in Tableau
- Quantum AI – The Future of AI Powered by Quantum Computing
- Downlaod Youtube Video in Any Format Using Python Pytube Library
- Datasets for Speech Recognition Analysis
- SQL Joins Explained: A Complete Guide with Examples
- String Operations in Python
- 5 Ways Use Jupyter Notebook Online Free of Cost
- Internet of Things (IoT) & AI – Smart Devices and AI Working Together
Datasets for Machine Learning
- Awesome-ChatGPT-Prompts
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset