NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities

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Terezija Semenski

1:12:46

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01 - Introduction

01 - Introduction.mp4

00:52

02 - What you should know.mp4

00:57

02 - 1. Plotting with Matplotlib

01 - Why should you use Matplotlib.mp4

02:28

02 - Matplotlib basics.mp4

05:08

03 - Understanding figures.mp4

04:33

04 - Matplotlib subplots functionality.mp4

02:53

05 - Understanding legends.mp4

03:00

06 - Challenge Implementing a figure.mp4

01:08

07 - Solution Implementing a figure.mp4

02:12

03 - 2. Matplotlib Styling and Advanced Plots

01 - Colors and styles.mp4

04:32

02 - Advanced Matplotlib commands.mp4

05:25

03 - Adding annotations.mp4

03:01

04 - Creating pie charts and bar charts.mp4

03:23

05 - Advanced plots.mp4

03:14

04 - 3. From Beginner to Advanced NumPy

01 - Universal functions.mp4

02:58

02 - Introducing strides.mp4

03:23

03 - Structured arrays.mp4

02:14

04 - Dates and time in NumPy.mp4

03:29

05 - 4. Linear Algebra in NumPy

01 - Linear algebra capabilities in NumPy.mp4

05:08

02 - Decomposition.mp4

04:32

03 - Polynomial mathematics.mp4

03:54

04 - Application Linear regression.mp4

03:27

06 - Conclusion

01 - Next steps.mp4

00:55

Description

NumPy provides the numerical backend for nearly every scientific or technical library for Python. Many advanced data science and machine learning libraries require data to be in the form of NumPy arrays before it can be processed. In this course, instructor Terezija Semenski gives you a closer look at advanced features in NumPy and Matplotlib. Matplotlib is the most popular library for plotting with NumPy. Terezija steps you through the basics of plotting functions and implementing figures with Matplotlib, then goes over advanced commands and plots. She introduces universal functions in NumPy, as well as strides, structure arrays, dates, and times. Terezija also covers basic linear algebra capabilities that you can apply in NumPy, including decomposition, polynomial mathematics, and linear regression.

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Python

NumPy

Terezija Semenski

Instructor's Courses

I help busy people learn to code without spending hours on searching Google and Stackoverflow. Mathematician and Software Developer with a business mind, a learning mindset, and a passion for people. Currently working as a freelance Educator and Software Developer. I’m also preparing my 8th online course. My previous experience includes working as Software Developer and QA in startup on educational, financial and banking app development projects and in the education sector as IT and Mathematics Teacher.

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