Visualization with Python: Matplotlib All In One
Visualization with Python: Matplotlib All In One
Duration: 4h 51m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.18 GB
Genre: eLearning | Language: English
Duration: 4h 51m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.18 GB
Genre: eLearning | Language: English
Leverage the power of Matplotlib using Python to visualize and understand your data more effectively.
What you'll learn:
Matplotlib Interfaces
Learn and Understand pyplot
Understanding Matplotlib Architecture
Configuring Matplotlib
Advanced use of Matplotlib
Requirements:
Access to a computer with an internet connection.
Description:
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.
Who this course is for:
Programmers
Anyone interested in Data Visualization
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