MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 925 MB | Duration: 2h 39m
A course on matplotlib from basics to beyond.
What you'll learn
Anatomy of the Matplotlib figure
2D Data Visualization with Matplotlib
3D Data Visualization with Matplotlib
Image Manipulation with Matplotlib
Basic python knowledge needed. Knowledge of numpy would be a plus but not mandatory.
This is a course on the matplotlib library of python which is one of the most popular tools for data visualization in python . The course aims to teach all the necessary tools required to start working with the matplotlib library. It starts off with the installation and configuring of the environment and basic plotting. We then move on to study the anatomy of the matplotlib figure. We learn about the building blocks of a matplotlib figure. We will learn to add and manipulate titles, x and y labels, ticks, markers, annotations, various styling to the layout, styling of the plots inside the axes and many more. We will be using numpy for creating our input datas for visualization. We will also learn to configure the reconfiguration file to add custom layout and styling to our figure and axes. The course also aims to teach various plots, and diagrams such as line plots, scatter plots, bar diagrams, pie charts, histograms and so on. We will also learn to plot from the external files with the help of the pandas library and as well as save our plotted figure. It also touches on the topics of image manipulation and 3d plotting with matplotlib.
Who this course is for
Beginner to Intermediate python developers curious about Data Visualization
Data Scientist or Software developers trying to learn Matplotlib library of Python