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Название [ TutGator.com ] TalkPython - Python Data Visualization
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10 View Lecture Dash.mp4 2.41Мб
10 View Lecture Data type.mp4 2.73Мб
10 View Lecture Displot relplot and facetting.mp4 14.18Мб
10 View Lecture Interactive app.mp4 9.61Мб
10 View Lecture Line bar area.mp4 9.34Мб
10 View Lecture Meet your instructor.mp4 2.61Мб
10 View Lecture Pyplot example.mp4 4.67Мб
10 View Lecture User input.mp4 9.19Мб
11 View Lecture Catplot API summary.mp4 12.15Мб
11 View Lecture Interactive app demo.mp4 6.75Мб
11 View Lecture My workflow.mp4 2.75Мб
11 View Lecture Object Oriented API.mp4 11.87Мб
11 View Lecture Regression treemap heatmap.mp4 18.78Мб
11 View Lecture Show charts.mp4 13.50Мб
11 View Lecture Types viz alterations.mp4 3.54Мб
12 View Lecture Callback reference.mp4 1.71Мб
12 View Lecture Concat charts.mp4 7.68Мб
12 View Lecture Facetting.mp4 11.98Мб
12 View Lecture Histograms.mp4 7.03Мб
12 View Lecture Sidebar intro.mp4 8.33Мб
12 View Lecture Specialized plots.mp4 2.18Мб
12 View Lecture Thank you.mp4 2.03Мб
13 View Lecture Annotations.mp4 8.12Мб
13 View Lecture Faceting.mp4 6.60Мб
13 View Lecture Figures and Axes.mp4 12.67Мб
13 View Lecture Final app overview.mp4 1.53Мб
13 View Lecture Heatmap.mp4 11.23Мб
13 View Lecture Sidebar details.mp4 9.31Мб
14 View Lecture Annotation summary.mp4 2.33Мб
14 View Lecture Conclusion-2.mp4 2.54Мб
14 View Lecture Full app part 1.mp4 10.62Мб
14 View Lecture Layers.mp4 6.30Мб
14 View Lecture Pair and jointplot.mp4 24.86Мб
14 View Lecture Saving images.mp4 4.63Мб
15 View Lecture Conclusion-1.mp4 2.84Мб
15 View Lecture Customizing Seaborn summary.mp4 2.92Мб
15 View Lecture Full app data filtering.mp4 14.37Мб
15 View Lecture Multiple chart summary.mp4 1.91Мб
15 View Lecture Quick reference.mp4 2.21Мб
16 View Lecture Amazon data set.mp4 6.82Мб
16 View Lecture Full app demo.mp4 10.97Мб
16 View Lecture Line plots.mp4 9.68Мб
16 View Lecture Seaborn summary.mp4 2.97Мб
17 View Lecture Advanced topics.mp4 4.01Мб
17 View Lecture Amazon authors.mp4 19.44Мб
17 View Lecture Bar charts.mp4 5.32Мб
18 View Lecture Conclusion-3.mp4 3.13Мб
18 View Lecture Reference example.mp4 2.90Мб
18 View Lecture Scatter plots.mp4 17.16Мб
19 View Lecture Conclusion.mp4 3.04Мб
19 View Lecture Styles.mp4 10.77Мб
1 View Lecture Course review.mp4 4.16Мб
1 View Lecture Intro.mp4 1.27Мб
1 View Lecture Introduction.mp4 1.23Мб
1 View Lecture Introduction to Altair.mp4 1.56Мб
1 View Lecture Introduction to Plotly.mp4 1.30Мб
1 View Lecture Introduction to Seaborn.mp4 1.09Мб
1 View Lecture Intro to Visualization concepts.mp4 2.96Мб
1 View Lecture Matplotlib introduction.mp4 1.08Мб
1 View Lecture Motivation.mp4 1.14Мб
1 View Lecture Pandas introduction.mp4 943.14Кб
20 View Lecture Regression.mp4 9.57Мб
21 View Lecture Customizing multiple plots.mp4 9.74Мб
22 View Lecture References.mp4 4.90Мб
23 View Lecture Summary.mp4 4.31Мб
2 View Lecture Aesthetics.mp4 2.63Мб
2 View Lecture Background.mp4 2.64Мб
2 View Lecture Matplotlib history.mp4 2.80Мб
2 View Lecture Objectives.mp4 3.36Мб
2 View Lecture Overview.mp4 2.75Мб
2 View Lecture Overview-1.mp4 3.02Мб
2 View Lecture Overview-2.mp4 1.86Мб
2 View Lecture Pandas overview.mp4 2.47Мб
2 View Lecture Seaborn overview.mp4 4.59Мб
2 View Lecture Statistics aren't enough.mp4 2.05Мб
3 View Lecture API intro.mp4 2.18Мб
3 View Lecture API overview.mp4 3.07Мб
3 View Lecture Data types.mp4 1.73Мб
3 View Lecture Data vis concepts.mp4 2.11Мб
3 View Lecture Getting started.mp4 1.76Мб
3 View Lecture Installation.mp4 1.87Мб
3 View Lecture Matplotlib landscape.mp4 2.16Мб
3 View Lecture Vega lite.mp4 2.71Мб
3 View Lecture Why Dash.mp4 2.39Мб
3 View Lecture Why visualize data.mp4 1.94Мб
4 View Lecture Basic API examples.mp4 16.28Мб
4 View Lecture Basic app concepts.mp4 2.20Мб
4 View Lecture Figure and axes level plots.mp4 3.83Мб
4 View Lecture Getting started-1.mp4 977.79Кб
4 View Lecture Installing.mp4 1.97Мб
4 View Lecture Installing-1.mp4 1.65Мб
4 View Lecture Matplotlib.mp4 3.42Мб
4 View Lecture System setup.mp4 5.71Мб
4 View Lecture Visualization variables.mp4 2.44Мб
4 View Lecture Why Python.mp4 1.80Мб
5 View Lecture API summary.mp4 2.38Мб
5 View Lecture Basic plotting.mp4 7.92Мб
5 View Lecture Colors.mp4 2.69Мб
5 View Lecture Data set.mp4 4.31Мб
5 View Lecture Data set changes.mp4 4.74Мб
5 View Lecture Pandas.mp4 2.13Мб
5 View Lecture Program structure.mp4 2.63Мб
5 View Lecture Python visualization ecosystem.mp4 1.70Мб
5 View Lecture Shorthand API.mp4 2.97Мб
5 View Lecture Simple app example.mp4 6.45Мб
6 View Lecture Basic shorthand API.mp4 14.56Мб
6 View Lecture Course objectives.mp4 2.37Мб
6 View Lecture Customizing.mp4 10.99Мб
6 View Lecture Displot.mp4 10.86Мб
6 View Lecture Figure overview.mp4 2.57Мб
6 View Lecture First app.mp4 5.66Мб
6 View Lecture Seaborn.mp4 2.91Мб
6 View Lecture Small multiple plots.mp4 2.56Мб
6 View Lecture Specialized hist and boxplot API.mp4 2.24Мб
6 View Lecture Streamlit running overview.mp4 5.41Мб
7 View Lecture Additional examples of the basic API.mp4 7.44Мб
7 View Lecture Additional plot types.mp4 12.01Мб
7 View Lecture Advanced specialized plots.mp4 19.79Мб
7 View Lecture Altair.mp4 2.76Мб
7 View Lecture Analysis types.mp4 2.66Мб
7 View Lecture API summary-1.mp4 3.99Мб
7 View Lecture Catplot.mp4 8.56Мб
7 View Lecture Interface types.mp4 3.43Мб
7 View Lecture Running app.mp4 6.84Мб
7 View Lecture Topic outline.mp4 2.14Мб
8 View Lecture Advanced plot summary.mp4 2.66Мб
8 View Lecture API overview-1.mp4 3.57Мб
8 View Lecture Component overview.mp4 3.68Мб
8 View Lecture Launching notebooks.mp4 2.89Мб
8 View Lecture Longhand API.mp4 12.03Мб
8 View Lecture Plotly.mp4 1.76Мб
8 View Lecture Python check.mp4 2.35Мб
8 View Lecture Relplot.mp4 4.75Мб
8 View Lecture Widget Intro.mp4 7.57Мб
8 View Lecture Working with data.mp4 2.59Мб
9 View Lecture HTML.mp4 11.81Мб
9 View Lecture Longhand overview.mp4 3.19Мб
9 View Lecture Pandas conclusion.mp4 2.50Мб
9 View Lecture Reading data.mp4 4.60Мб
9 View Lecture Scatter plots.mp4 12.87Мб
9 View Lecture Seaborn API summary.mp4 2.56Мб
9 View Lecture Source code.mp4 1.03Мб
9 View Lecture Streamlit.mp4 1.97Мб
9 View Lecture Widget interactivity.mp4 2.23Мб
Bonus Resources.txt 386б
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