|
RAR-files |
| linkedin.learning.numpy.essential.training.2.matplotlib.and.linear.algebra.capabilities-xqzt.rar |
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| linkedin.learning.numpy.essential.training.2.matplotlib.and.linear.algebra.capabilities-xqzt.r00 |
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| linkedin.learning.numpy.essential.training.2.matplotlib.and.linear.algebra.capabilities-xqzt.r01 |
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|
| Total size: |
195,593,040 |
|
|
| Archived
files |
|
01.01-introduction.mkv
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|
4,477,152 |
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01.02-what_you_should_know.mkv
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02.01-why_should_you_use_matplotlib.mkv
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02.02-matplotlib_basics.mkv
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02.03-understanding_figures.mkv
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02.04-matplotlib_subplots_functionality.mkv
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02.05-understanding_legends.mkv
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02.06-challenge_implementing_a_figure.mkv
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02.07-solution_implementing_a_figure.mkv
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5,902,612 |
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03.01-colors_and_styles.mkv
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03.02-advanced_matplotlib_commands.mkv
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03.03-adding_annotations.mkv
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03.04-creating_pie_charts_and_bar_charts.mkv
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03.05-advanced_plots.mkv
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04.01-universal_functions.mkv
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04.02-introducing_strides.mkv
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04.03-structured_arrays.mkv
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04.04-dates_and_time_in_numpy.mkv
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05.01-linear_algebra_capabilities_in_numpy.mkv
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13,206,647 |
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05.02-decomposition.mkv
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05.03-polynomial_mathematics.mkv
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05.04-application_linear_regression.mkv
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06.01-next_steps.mkv
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Ex_Files_NumPy_EssT_2.zip |
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| Total size: |
195,590,992 |
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|
