Python Data Visualization Solutions
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 03:27:23 | English: AAC, 128 kb/s (2 ch) | 687 MB
Genre: Development / Programming
Create attractive visualizations using Pythons most popular libraries.





-Set up an optimal Python environment for data visualization
-Import, organize, and visualize your data with the popular open source Python libraries such as matDescriptionlib, NumPy, Description.ly and more
-A practical tutorial to help you determine different approaches to data visualization, and how to choose the most appropriate one for your needs

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 matDescriptionlib 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, well take you on a thorough walkthrough of incorporating matDescriptionlib 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.


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