PyPlot Lab
Master Data Visualisation
EGP 399.99
Master data visualisation through 14 comprehensive learning units! Learn by doing with hands-on coding exercises.
PyPlot Lab: Master Data Visualisation in Python
Transform your data into compelling visual stories with PyPlot Lab – a comprehensive learning platform for Python visualisation mastery with Matplotlib, Pyplot, and Seaborn.
PyPlot Lab delivers a hands-on approach to mastering data visualisation in Python. From basic charts to advanced interactive graphics, the structured curriculum guides you through key aspects of creating professional-grade visualisations using industry-standard libraries including Matplotlib, Pyplot, and Seaborn.
What You'll Learn
* Create effective visualisations using Matplotlib's flexible framework and Seaborn's statistical tools
* Design custom plot styles and colour palettes with Pyplot's streamlined interface
* Apply data visualisation best practices across multiple visualisation libraries
* Build publication-ready figures and charts with Matplotlib's precise controls
* Develop interactive and animated graphics through advanced Python visualisation techniques
* Master essential visualisation techniques for data analysis using the right library for each task
Curriculum Highlights (14 Modules)
1. Introduction to Data Visualisation - Core concepts and principles of visual data representation
2. Environment Setup - Configure your Python visualisation toolset with Matplotlib, Pyplot, and Seaborn
3. Matplotlib Fundamentals - Master the essential plotting library that powers Python visualisation
4. Pyplot Essentials - Leverage Matplotlib's user-friendly interface for efficient plotting workflows
5. Styles and Themes - Enhance visual appeal with custom designs using Matplotlib's style system
6. Essential Plot Types - Create line, scatter, bar charts and more with Pyplot's intuitive functions
7. Advanced Techniques - Build complex visualisations with Matplotlib's subplots and grids
8. Seaborn for Statistical Visualisation - Unlock powerful statistical graphics with minimal code
9. Distribution Visualisation - Create histograms, KDE plots, and boxplots with Seaborn's specialised tools
10. Categorical Data Analysis - Master bar plots, count plots, and more with Seaborn's categorical functions
11. Relationship Visualisation - Design insightful heatmaps and correlation matrices using Seaborn
12. Custom Colour Systems - Create beautiful visualisation palettes with Matplotlib and Seaborn
13. Library Integration - Combine Matplotlib, Pyplot, and Seaborn capabilities for advanced visualisations
14. Interactive Visualisations - Build dynamic, responsive graphics with Matplotlib's interactive features
Key Features
* 70+ hands-on coding exercises per module covering Matplotlib, Pyplot, and Seaborn
* Daily Python visualisation challenges across all three libraries
* Progress tracking with personal visualisation portfolio showcasing your skills
* Complete offline access to examples and tutorials for each visualisation library
* No adverts or subscriptions required
* 100 Data Visualisation Programming Units covering core topics with comprehensive content
* 12 custom themes to personalise your interface
* 15 interface languages supported for global accessibility
* All content unlocked - No in-app purchases
Perfect For
* Data Scientists and Analysts working with Python visualisation libraries
* Python Developers looking to enhance their data presentation skills
* Research Scientists needing publication-quality visualisations
* STEM Students learning modern data visualisation techniques
* Technical Writers creating documentation with informative graphics
* Anyone working with data presentation using Python's visualisation ecosystem
From foundational concepts to advanced visualisation techniques, PyPlot Lab provides comprehensive resources to help you master Matplotlib, Pyplot, and Seaborn, transforming raw data into meaningful visual insights with 100% offline access and no interruptions from adverts or subscription requirements.
Ratings & Reviews
This app has not received enough ratings or reviews to display an overview.
* Added Python syntax highlighting to the Notes module.
* Performance improvements and bug fixes.
* Updated UI for better user experience.
The developer, SimTeCon GmbH, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
- Provider
- SimTeCon GmbH
- Size
- 61.2 MB
- Category
- Education
- Compatibility
Requires iOS 15.1 or later.
- iPhone
Requires iOS 15.1 or later. - iPad
Requires iPadOS 15.1 or later. - iPod touch
Requires iOS 15.1 or later.
- Languages
- English
- Age Rating
4+
- 4+
- Copyright
- © 2024 SimTeCon GmbH
