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2021-01-07 14:50:15
30-Day Money-Back Guarantee

This course includes:

  • 3.5 hours on-demand video
  • 1 article
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Matplotlib

Stop Struggling With Matplotlib!

Beginner's Guide to Python Visualizations
Rating: 0.0 out of 50.0 (0 ratings)
1 student
Created by Jarrett Retz
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Matplotlib
  • Python graphing
  • Jupyter Notebooks
  • Matplotlib Artist API
  • Plotly

Course content

9 sections • 35 lectures • 3h 25m total length

  • Preview00:39
  • Download Course Jupyter Notebooks
    00:08

  • What is a Jupyter Notebook?
    05:05
  • Anaconda
    02:07
  • Download on Mac
    02:36
  • Download on Windows
    03:14
  • Virtual Environment
    03:28

  • What is Object Oriented Programming?
    03:12
  • Defining a Class
    03:02
  • Instances
    06:40
  • Methods & Properties
    13:51
  • Inheritance
    05:50
  • OOP and Defining Classes in Python
    9 questions

  • Creating Visualizations
    00:48
  • Look, no axes!
    07:56

  • Preview00:50
  • Primitives
    09:27
  • Containers
    11:05
  • Artist Properties
    07:04
  • Patch
    06:38
  • Line
    07:46
  • Artist Class Quiz
    6 questions

  • Axes Container
    00:18
  • Preview12:00
  • Bar (Including Stacked and Horizontal)
    12:02
  • Annotate
    05:28
  • Text
    05:32
  • Arrow
    03:15
  • Legend
    04:54
  • Axes Container Quiz
    7 questions

  • Axis
    02:46
  • Tick Markers
    11:12
  • Tick Labels
    09:11
  • Labels and Ticks Quiz
    6 questions

  • Basic Visualizations
    00:23
  • Histogram
    14:30
  • Preview08:49
  • Line
    12:54

  • Congrats!
    00:20

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
Curious developer, learner, writer, and course creator.
Jarrett Retz
  • 4.7 Instructor Rating
  • 8 Reviews
  • 2,511 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!

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