What you would learn in NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities course?
NumPy is the backend for numerical computation for almost every technical or scientific library that runs on Python. Many advanced machine learning and data science library applications require that data be presented in NumPy arrays before processing. In this class, the instructor Terezija Semenski will provide you with an overview of the advanced functions of NumPy along with Matplotlib. Matplotlib is the most extensive and most used library that plots using NumPy. Terezija walks you through the fundamentals of plotting functions and creating figures using Matplotlib. She then discusses advanced plotting commands and plots. She will introduce universal functions in NumPy and strides structures arrays dates, time, and structure arrays. Terezija also explains the basic linear algebra abilities which you can use within NumPy, including polynomial math, decomposition as well as linear regression.
Course Content:
- Introduction
- 1. Plotting with Matplotlib
- 2. Matplotlib Styling and Advanced Plots
- 3. From Beginner to Advanced NumPy
- 4. Linear Algebra in NumPy
- Conclusion
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