Building Data Visualizations Using Matplotlib (Janani Ravi, 2018)

磁力链接/BT种子名称

Building Data Visualizations Using Matplotlib (Janani Ravi, 2018)

磁力链接/BT种子简介

种子哈希：41fa6d867f896c1874b239149ec7aa516405cc05
文件大小：240.98M
已经下载：2796次
下载速度：极快
收录时间：2023-12-18
最近下载：2025-09-05

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文件列表

  • 2. Working with the Matplotlib and Pyplot APIs/10. Figures and Axes.mp4 21.5 MB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/2. Plotting Shapes.mp4 18.4 MB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/7. Twin Axis.mp4 15.5 MB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/5. Annotations.mp4 13.2 MB
  • 2. Working with the Matplotlib and Pyplot APIs/08. Basic Plots.mp4 12.7 MB
  • 2. Working with the Matplotlib and Pyplot APIs/12. Visualizing Stock Data.mp4 11.9 MB
  • 4. Visualizing Statistical Data with Matplotlib/5. Histograms.mp4 11.4 MB
  • 4. Visualizing Statistical Data with Matplotlib/2. Visualizing and Customizing a Boxplot.mp4 11.1 MB
  • 4. Visualizing Statistical Data with Matplotlib/6. Pie Charts.mp4 11.0 MB
  • 4. Visualizing Statistical Data with Matplotlib/9. Stacked Plots and Stem Plots.mp4 11.0 MB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/4. Drawing Paths and Bezier Curves.mp4 10.9 MB
  • 2. Working with the Matplotlib and Pyplot APIs/11. Watermarks.mp4 9.9 MB
  • 2. Working with the Matplotlib and Pyplot APIs/06. Non-interactive Mode.mp4 9.2 MB
  • 2. Working with the Matplotlib and Pyplot APIs/09. Lines and Markers.mp4 9.0 MB
  • 4. Visualizing Statistical Data with Matplotlib/4. Violin Plots.mp4 8.4 MB
  • 4. Visualizing Statistical Data with Matplotlib/8. Plotting Autocorrelations in Time Series Data.mp4 8.2 MB
  • 2. Working with the Matplotlib and Pyplot APIs/04. Introduction to Matplotlib.mp4 7.8 MB
  • 4. Visualizing Statistical Data with Matplotlib/3. Using Boxplots to Plot Exam Scores Data.mp4 7.6 MB
  • 2. Working with the Matplotlib and Pyplot APIs/07. Interactive Backends.mp4 7.3 MB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/3. Visualizing a Bezier Curve.mp4 6.6 MB
  • 2. Working with the Matplotlib and Pyplot APIs/05. Anatomy of a Figure.mp4 6.5 MB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/6. Scales.mp4 4.8 MB
  • 1. Course Overview/1. Course Overview.mp4 4.2 MB
  • 4. Visualizing Statistical Data with Matplotlib/7. Autocorrelation.mp4 3.4 MB
  • 2. Working with the Matplotlib and Pyplot APIs/03. Course Outline and Prerequisites.mp4 3.1 MB
  • exercise.7z 2.2 MB
  • 2. Working with the Matplotlib and Pyplot APIs/02. Module Overview.mp4 1.9 MB
  • 4. Visualizing Statistical Data with Matplotlib/1. Module Overview.mp4 1.8 MB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/1. Module Overview.mp4 1.5 MB
  • 2. Working with the Matplotlib and Pyplot APIs/01. Version Check.mp4 578.9 kB
  • cover.jpg 90.3 kB
  • 2. Working with the Matplotlib and Pyplot APIs/10. Figures and Axes.vtt 14.0 kB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/2. Plotting Shapes.vtt 13.4 kB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/7. Twin Axis.vtt 10.5 kB
  • 2. Working with the Matplotlib and Pyplot APIs/08. Basic Plots.vtt 10.2 kB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/5. Annotations.vtt 9.6 kB
  • 4. Visualizing Statistical Data with Matplotlib/9. Stacked Plots and Stem Plots.vtt 8.4 kB
  • 4. Visualizing Statistical Data with Matplotlib/2. Visualizing and Customizing a Boxplot.vtt 8.3 kB
  • 2. Working with the Matplotlib and Pyplot APIs/04. Introduction to Matplotlib.vtt 8.2 kB
  • 2. Working with the Matplotlib and Pyplot APIs/06. Non-interactive Mode.vtt 7.9 kB
  • 2. Working with the Matplotlib and Pyplot APIs/12. Visualizing Stock Data.vtt 7.6 kB
  • 4. Visualizing Statistical Data with Matplotlib/5. Histograms.vtt 7.6 kB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/3. Visualizing a Bezier Curve.vtt 7.5 kB
  • 4. Visualizing Statistical Data with Matplotlib/6. Pie Charts.vtt 7.3 kB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/4. Drawing Paths and Bezier Curves.vtt 7.1 kB
  • 2. Working with the Matplotlib and Pyplot APIs/05. Anatomy of a Figure.vtt 7.0 kB
  • 2. Working with the Matplotlib and Pyplot APIs/09. Lines and Markers.vtt 6.7 kB
  • 2. Working with the Matplotlib and Pyplot APIs/11. Watermarks.vtt 6.2 kB
  • 2. Working with the Matplotlib and Pyplot APIs/07. Interactive Backends.vtt 5.8 kB
  • 4. Visualizing Statistical Data with Matplotlib/8. Plotting Autocorrelations in Time Series Data.vtt 5.3 kB
  • 4. Visualizing Statistical Data with Matplotlib/4. Violin Plots.vtt 5.1 kB
  • 4. Visualizing Statistical Data with Matplotlib/3. Using Boxplots to Plot Exam Scores Data.vtt 5.0 kB
  • 4. Visualizing Statistical Data with Matplotlib/7. Autocorrelation.vtt 4.0 kB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/6. Scales.vtt 3.9 kB
  • 2. Working with the Matplotlib and Pyplot APIs/03. Course Outline and Prerequisites.vtt 3.3 kB
  • 1. Course Overview/1. Course Overview.vtt 2.6 kB
  • playlist.m3u 2.3 kB
  • ~i.txt 1.9 kB
  • 2. Working with the Matplotlib and Pyplot APIs/02. Module Overview.vtt 1.9 kB
  • 4. Visualizing Statistical Data with Matplotlib/1. Module Overview.vtt 1.9 kB
  • 3. Building Basic, Intermediate, and Advanced Plots with Matplotlib/1. Module Overview.vtt 1.5 kB
  • 2. Working with the Matplotlib and Pyplot APIs/01. Version Check.vtt 7 Bytes

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