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TORRENT DETAILS
Linkedin - NumPy Essential Training - 2 MatPlotlib And Linear Algebra Capabilities
TORRENT SUMMARY
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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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FILE LIST
Filename
Size
~Get Your Files Here !/01 - Introduction/01 - Introduction.mp4
4.3 MB
~Get Your Files Here !/01 - Introduction/01 - Introduction.srt
1.4 KB
~Get Your Files Here !/01 - Introduction/02 - What you should know.mp4
2.6 MB
~Get Your Files Here !/01 - Introduction/02 - What you should know.srt
1.6 KB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/01 - Why should you use Matplotlib.mp4
7.8 MB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/01 - Why should you use Matplotlib.srt
3.8 KB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/02 - Matplotlib basics.mp4
12.2 MB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/02 - Matplotlib basics.srt
6.2 KB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/03 - Understanding figures.mp4
11.4 MB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/03 - Understanding figures.srt
6.2 KB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/04 - Matplotlib subplots functionality.mp4
6.8 MB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/04 - Matplotlib subplots functionality.srt
3.8 KB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/05 - Understanding legends.mp4
7 MB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/05 - Understanding legends.srt
3.8 KB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/06 - Challenge Implementing a figure.mp4
2.8 MB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/06 - Challenge Implementing a figure.srt
1.7 KB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/07 - Solution Implementing a figure.mp4
5.8 MB
~Get Your Files Here !/02 - 1. Plotting with Matplotlib/07 - Solution Implementing a figure.srt
2.7 KB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/01 - Colors and styles.mp4
10.3 MB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/01 - Colors and styles.srt
6 KB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/02 - Advanced Matplotlib commands.mp4
13.8 MB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/02 - Advanced Matplotlib commands.srt
7.7 KB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/03 - Adding annotations.mp4
7.3 MB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/03 - Adding annotations.srt
4.4 KB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/04 - Creating pie charts and bar charts.mp4
9.8 MB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/04 - Creating pie charts and bar charts.srt
4.6 KB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/05 - Advanced plots.mp4
8.9 MB
~Get Your Files Here !/03 - 2. Matplotlib Styling and Advanced Plots/05 - Advanced plots.srt
4.3 KB
~Get Your Files Here !/04 - 3. From Beginner to Advanced NumPy/01 - Universal functions.mp4
8.6 MB
~Get Your Files Here !/04 - 3. From Beginner to Advanced NumPy/01 - Universal functions.srt
3.9 KB
~Get Your Files Here !/04 - 3. From Beginner to Advanced NumPy/02 - Introducing strides.mp4
8 MB
~Get Your Files Here !/04 - 3. From Beginner to Advanced NumPy/02 - Introducing strides.srt
4.9 KB
~Get Your Files Here !/04 - 3. From Beginner to Advanced NumPy/03 - Structured arrays.mp4
6.3 MB
~Get Your Files Here !/04 - 3. From Beginner to Advanced NumPy/03 - Structured arrays.srt
3.3 KB
~Get Your Files Here !/04 - 3. From Beginner to Advanced NumPy/04 - Dates and time in NumPy.mp4
9.4 MB
~Get Your Files Here !/04 - 3. From Beginner to Advanced NumPy/04 - Dates and time in NumPy.srt
5 KB
~Get Your Files Here !/05 - 4. Linear Algebra in NumPy/01 - Linear algebra capabilities in NumPy.mp4
12.9 MB
~Get Your Files Here !/05 - 4. Linear Algebra in NumPy/01 - Linear algebra capabilities in NumPy.srt
7.1 KB
~Get Your Files Here !/05 - 4. Linear Algebra in NumPy/02 - Decomposition.mp4
13.1 MB
~Get Your Files Here !/05 - 4. Linear Algebra in NumPy/02 - Decomposition.srt
6.3 KB
~Get Your Files Here !/05 - 4. Linear Algebra in NumPy/03 - Polynomial mathematics.mp4
9.9 MB
~Get Your Files Here !/05 - 4. Linear Algebra in NumPy/03 - Polynomial mathematics.srt
5.5 KB
~Get Your Files Here !/05 - 4. Linear Algebra in NumPy/04 - Application Linear regression.mp4
8.9 MB
~Get Your Files Here !/05 - 4. Linear Algebra in NumPy/04 - Application Linear regression.srt
5.1 KB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp4
2.6 MB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.srt
1.6 KB
~Get Your Files Here !/Bonus Resources.txt
386 B
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH01/01_02.ipynb
23.7 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH01/01_03.ipynb
36 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH01/01_04.ipynb
40.6 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH01/01_05.ipynb
52.7 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH01/01_07.ipynb
498.7 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH02/02_01.ipynb
75.1 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH02/02_02.ipynb
55 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH02/02_03.ipynb
51.9 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH02/02_04.ipynb
27.2 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH02/02_05.ipynb
399.1 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH03/03_01.ipynb
3.4 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH03/03_02.ipynb
5.1 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH03/03_03.ipynb
4.7 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH03/03_04.ipynb
2.8 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH04/04_01.ipynb
5.9 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH04/04_02.ipynb
4.8 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH04/04_03.ipynb
5.4 KB
~Get Your Files Here !/Ex_Files_NumPy_EssT_2/Exercise Files/CH04/04_04.ipynb
