Visualization with Python: Matplotlib All In One
Visualization with Python: Matplotlib All In One, available at $64.99, has an average rating of 4.25, with 33 lectures, based on 13 reviews, and has 60 subscribers.
You will learn about Matplotlib Interfaces Learn and Understand pyplot Understanding Matplotlib Architecture Configuring Matplotlib Advanced use of Matplotlib This course is ideal for individuals who are Programmers or Anyone interested in Data Visualization It is particularly useful for Programmers or Anyone interested in Data Visualization.
Enroll now: Visualization with Python: Matplotlib All In One
Summary
Title: Visualization with Python: Matplotlib All In One
Price: $64.99
Average Rating: 4.25
Number of Lectures: 33
Number of Published Lectures: 33
Number of Curriculum Items: 33
Number of Published Curriculum Objects: 33
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Matplotlib Interfaces
- Learn and Understand pyplot
- Understanding Matplotlib Architecture
- Configuring Matplotlib
- Advanced use of Matplotlib
Who Should Attend
- Programmers
- Anyone interested in Data Visualization
Target Audiences
- Programmers
- Anyone interested in Data Visualization
Welcome aboard to the journey of creating good data visuals. Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. It provides a large library of customizable plots, along with a comprehensive set of backends. This is a practical course to help you visualize data with Python using the Matplotlib library.
This course will teach you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. With the help of this course, you’ll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this course. Once you’ve familiarized yourself with the fundamentals, you’ll move on to developing professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D. You’ll annotate and add rich text to the plots, enabling the creation of a business storyline. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. In addition to this, you’ll learn how to save figures and animations in various formats for downstream deployment, followed by extending the functionality offered by various internal and third-party toolkits.
By the end of this course, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib and leveraging its power to build attractive, insightful, and powerful visualizations.
Course Curriculum
Chapter 1: Welcome
Lecture 1: Introduction
Chapter 2: Getting started
Lecture 1: Learn How to Install Matplotlib – 1
Lecture 2: Learn How to Install Matplotlib – 2
Lecture 3: Matplotlib – Exploring Data using Python
Lecture 4: Learn to Use Matplotlib with Jupyter
Lecture 5: Learning Pylab, pyplot & OO API
Chapter 3: Learn and Understand pyplot
Lecture 1: Introduction
Lecture 2: Understanding the Plot Function
Lecture 3: Learn More About Plotting
Lecture 4: Understanding Parallel Coordinates
Lecture 5: Understanding Subplots
Lecture 6: Learn How to Adjust Subplot Parameters
Lecture 7: Understanding Scatterplot Matrix
Lecture 8: Understanding Complex Subplots
Chapter 4: Learn and Understand Matplotlib Architecture
Lecture 1: Introduction
Lecture 2: Matplotlib – Anatomy of A Graphic
Lecture 3: Learn How to pyplot Works
Lecture 4: Troubleshooting pyplot Issues
Chapter 5: Learn How to Configure Matplotlib
Lecture 1: Introduction
Lecture 2: Learn About Style Sheets
Lecture 3: Learn About Custom Style Sheets
Chapter 6: Learn and Understand Interactivity
Lecture 1: Handling Event
Lecture 2: Learn How to Create An Interface With ipywidgets
Lecture 3: Learn How to Refine An ipywidgets Interface
Chapter 7: Maps In Matplotlib
Lecture 1: Introduction
Lecture 2: Learn About Basemap
Lecture 3: Learn How to Create a Choropleth With Matplotlib
Lecture 4: Learn How to Create a Dot Density Map
Chapter 8: Understanding the Matplotlib Ecosystem
Lecture 1: Learn About Seaborn
Lecture 2: Learn About Pandas
Lecture 3: Learn About the Web
Chapter 9: Course Summary
Lecture 1: Summary
Lecture 2: Course Material & Source Code
Instructors
-
Chris Jimerson
Passionate and Creative Software Engineer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 0 votes
- 4 stars: 1 votes
- 5 stars: 10 votes
Frequently Asked Questions
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Can I take my courses with me wherever I go?
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