Watch and learn Matplotlib Tutorial : Matplotlib Full Course created by Derek Banas. The total lesson runtime is 34:00 minutes providing step-by-step visual instructions. Access this full online lesson on any desktop PC, Mac, tablet, or smartphone.
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Course Description & Lesson Notes
Official Video Description:
New Data Science / Machine Learning Video Everyday at 1 PM EST!!! [ Click Notification Bell ]
This video provides the most complete coverage of Matplotlib with many real world examples. Matplotlib provides numerous ways to create wonderful visualizations. It is the most popular plotting library for Python. It works easily with both Numpy and Pandas arrays. Seaborn, which I'll cover in my next tutorial further extends it, but it is important to learn both.
If you want a video that condenses the whole Matplotlib API and all that it can do into 1 video with a ton of examples, then this video is for you.
I cover most everything you'll learn by reading the API here. Next I'll cover Seaborn, SciPy, StatsModels, Plotly, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. CLICK THE NOTIFICATION BELL
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Matplotlib GitHub Cheat Sheet : https://github.com/derekbanas/matplotlib
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Here is a Table of Contents that will allow you to jump around in the video and learn what ever you are interested in.
TABLE OF CONTENTS
00:00 Intro
00:32 Importing
02:38 Simple Plotting
04:52 Multiple Plots
06:08 Using Figure Objects
12:32 Subplots
15:03 Appearance Options
21:28 Saving Plots
22:09 Working with Pandas Dataframe
29:01 TeX Markup (Math Symbols)
36:41 Histograms
40:57 Bar Charts
48:19 Pie Charts
53:50 Timeseries
59:31 Tables
1:08:21 Scatterplots
1:12:59 3D Surfaces
1:21:38 Matplotlib Finance
1:26:23 Heatmaps
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🎓 Lesson Overview & Learning Outcomes:
Welcome to the step-by-step video guide for Matplotlib Tutorial : Matplotlib Full Course taught by Derek Banas. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.
💡 Key Topics Covered in This Course:
- Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Matplotlib Tutorial : Matplotlib Full Course.
- Step-by-Step Practical Demonstration: Hands-on implementation guided by Derek Banas with real-world examples.
- Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
- Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.
📋 Recommended Prerequisites & Study Notes:
No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.
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