About this course
Learn the skills you need to create your NumPy analytical modules successfully and build professional analytical applications.
Introduction
52sWhat you should know
57sWhy should you use Matplotlib?
2m 28sMatplotlib basics
5m 8sUnderstanding figures
4m 33sMatplotlib subplots functionality
2m 53sUnderstanding legends
3mChallenge: Implementing a figure
1m 8sSolution: Implementing a figure
2m 12sColors and styles
4m 32sAdvanced Matplotlib commands
5m 25sAdding annotations
3m 1sCreating pie charts and bar charts
3m 23sAdvanced plots
3m 14sUniversal functions
2m 58sIntroducing strides
3m 23sStructured arrays
2m 14sDates and time in NumPy
3m 29sLinear algebra capabilities in NumPy
5m 8sDecomposition
4m 32sPolynomial mathematics
3m 54sApplication: Linear regression
3m 27sNext steps
55s