What you'll learn
- Matplotlib
- Python graphing
- Jupyter Notebooks
- Matplotlib Artist API
Course content
- Preview00:39
- 00:08Download Course Jupyter Notebooks
Requirements
- Basic Python
- Numpy
Description
You just took a course on Python or are working on your data analytics skills. However, creating visualizations was skimmed over and you were left feeling that there's more to learn. How can you feel confident in creating the kind of graphs that your instructor was making?
This course gets granular about using Matplotlib with Python. It shows you how to access, use, and understand the Artist class to get you going on your Python journey. It's frustrating to have an understanding on Numpy, Pandas, and Scipy but are unable to visualize the data the way you want.
I've been in that place, so I went out and taught it to myself. Now, I want to share the step-by-step approach I took, so we can all stop struggling with Python visualizations.
Who this course is for:
- Python developers curious about data analytics
- Intermediate Python users learning to graph data
- Data sciences learning to graph data
Instructor
![Jarrett Retz](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.6 Instructor Rating
- 7 Reviews
- 2,508 Students
- 2 Courses
I am a freelance developer and writer. I love building projects that help me or others in life or business.
I mainly program with Python and Javascript. I spend half my time learning new things with software and technology and am excited about the future of programming!
I've written over 30+ articles on building applications and using APIs with React and Python. I enjoyed that so much, I started creating tutorial videos focusing on similar topics.
You can find out more about what I do by looking for me on Github or Upwork!