发帖
雷达卡
Dimitry Foures, Giuseppe Vettigli, Igor Milovanović
Create attractive visualizations using Python’s most popular libraries
Effective visualization can help you get better insights from your data, and help you make better and more informed business decisions.
This video starts by showing you how to set up matplotlib and other Python libraries that are required for most parts of the course, before moving on to discuss various widely used diagrams and charts such as Gantt Charts. As you will go through the course, you will get to know about various 3D diagrams and animations. As maps are irreplaceable to display geo-spatial data, this course will show you how to build them. In the last section, we’ll take you on a thorough walkthrough of incorporating matplotlib into various environments and how to create Gantt charts using Python.
With practical, precise, and reproducible videos, you will get a better understanding of the data visualization concepts, how to apply them, and how you can overcome any challenge while implementing them.
Style and Approach
This course follows a step-by-step, recipe-based approach so you understand various aspects of data visualization. The topics are explained sequentially through a code snippet and the resulting visualization.
What You Will Learn
• Explore your data using the capabilities of standard Python Data Library
• Draw your first chart and customize it
• Use the most popular data visualization Python libraries
• Make 3D visualizations mainly using mplot3d
• Create charts with images and maps
• Understand the most appropriate charts to describe your data
• Get to know the matplotlib’s hidden gems
Table of Contents
KNOWING YOUR DATA
DRAWING YOUR FIRST PLOTS AND CUSTOMIZING THEM
MORE PLOTS AND CUSTOMIZATIONS
MAKING 3D VISUALIZATIONS
PLOTTING CHARTS WITH IMAGES AND MAPS
USING RIGHT PLOTS TO UNDERSTAND DATA
MORE ON MATPLOTLIB GEMS
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 03:27:23 | English: AAC, 128 kb/s (2 ch) | 687 MB
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