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Learning Path Python Data Visualization with Matplotlib 2.x

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10:23:44

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  • 1.1 C10323.zip.zip
  • 1. The Course Overview.mp4
    02:21
  • 2. Understanding Data, Dimensionality, and Why We Plot.mp4
    08:22
  • 3. Setting Up Your Environment.mp4
    07:10
  • 4. Beginning with the Most Basic Plots.mp4
    09:39
  • 5. Differentiating Line and Scatter Plots.mp4
    14:07
  • 6. Constructing Bar Plots and Histograms.mp4
    15:38
  • 7. Exploring Images and Contours.mp4
    09:18
  • 8. Working on Plots with Uncertainties.mp4
    03:53
  • 9. Looking at Other Useful Plot Types.mp4
    06:15
  • 10. Making Multiple Panel Plots.mp4
    07:39
  • 11. Using Color Bars and Legends.mp4
    06:10
  • 12. Working with the Components of a Matplotlib Plot.mp4
    03:20
  • 13. Figure and Axes How Do They Work.mp4
    07:27
  • 14. Working with Transformations.mp4
    07:25
  • 15. Controlling Axes and Ticks.mp4
    09:36
  • 16. Ticker Formatting.mp4
    08:52
  • 17. Working on Back Ends.mp4
    06:57
  • 18. The Jupyter Notebook.mp4
    09:19
  • 19. Using Pandas to Manipulate Tabular Data.mp4
    12:00
  • 20. Slicing and Dicing Pandas Data.mp4
    10:55
  • 21. Pandas Built-in Plotting.mp4
    09:36
  • 22. Test Your Knowledge.html
  • 1. The Course Overview.mp4
    05:14
  • 2. Getting Started with Matplotlib.mp4
    07:49
  • 3. Setting Up the Plotting Environment.mp4
    08:46
  • 4. Editing and Running Code.mp4
    05:11
  • 5. Loading Data for Plotting.mp4
    08:04
  • 6. Plotting Our First Graph.mp4
    05:56
  • 7. Basic Structure of a Matplotlib Figure.mp4
    04:49
  • 8. Setting Colors in Matplotlib.mp4
    09:15
  • 9. Adjusting Text Formats.mp4
    06:49
  • 10. Customizing Lines and Markers.mp4
    07:44
  • 11. Customizing Grids and Ticks.mp4
    08:52
  • 12. Customizing Axes.mp4
    09:15
  • 13. Using Style Sheets.mp4
    03:27
  • 14. Title and Legend.mp4
    03:42
  • 15. Adjusting Layout.mp4
    06:31
  • 16. Adding Subplots.mp4
    03:29
  • 17. Adjusting Margins.mp4
    03:20
  • 18. Drawing Inset Plots.mp4
    04:26
  • 19. Adding Text Annotations.mp4
    04:14
  • 20. Adding Graphical Annotations.mp4
    05:45
  • 21. Typical API Data Formats.mp4
    03:16
  • 22. Introducing Pandas.mp4
    07:08
  • 23. Visualizing the Trend of Data.mp4
    04:41
  • 24. Visualizing Univariate Distribution.mp4
    06:44
  • 25. Visualizing a Bivariate Distribution.mp4
    07:05
  • 26. Visualizing Categorical Data.mp4
    06:02
  • 27. Controlling SeabornFigure Aesthetics.mp4
    06:18
  • 28. More About Colors.mp4
    04:37
  • 29. Getting End-of-Day (EOD) Stock Data from Quandl.mp4
    03:51
  • 30. Two-Dimensional Faceted Plots.mp4
    07:11
  • 31. Other Two-Dimensional Multivariate Plots.mp4
    08:21
  • 32. Three-Dimensional (3D) plots.mp4
    06:00
  • 33. Scraping Information from Websites.mp4
    04:37
  • 34. Non-Interactive Backends.mp4
    02:06
  • 35. Interactive Backends.mp4
    05:13
  • 36. Creating Animated Plots.mp4
    03:03
  • 37. Effective Visualization Planning Your Figure.mp4
    02:29
  • 38. Effective Visualization Crafting Your Figure.mp4
    04:56
  • 39. Visualizing Statistical Data More Intuitively.mp4
    05:41
  • 40. Methods for Dimension Reduction.mp4
    09:16
  • 41. Visualizing Population Health Information.mp4
    05:02
  • 42. Map-Based Visualization for Geographical Data.mp4
    06:01
  • 43. Combining Geographical and Population Health Data.mp4
    09:31
  • 44. Survival Data Analysis on Cancer.mp4
    04:13
  • 45. Test Your Knowledge.html
  • 1. The Course Overview.mp4
    03:41
  • 2. Customizing Pylab in Style.mp4
    11:03
  • 3. Color Deep Dive.mp4
    13:15
  • 4. Working on Non-Trivial Layouts.mp4
    07:32
  • 5. The Matplotlib Configuration Files.mp4
    06:07
  • 6. Putting Lines in Place.mp4
    05:58
  • 7. Adding Text on Your Plots.mp4
    07:07
  • 8. Playing with Polygons and Shapes.mp4
    08:55
  • 9. Versatile Annotating.mp4
    06:49
  • 10. Non-Cartesian Plots.mp4
    08:02
  • 11. Plotting Vector Fields.mp4
    12:26
  • 12. Statistics with Boxes and Violins.mp4
    09:20
  • 13. Visualizing Ordinal and Tabular Data.mp4
    07:29
  • 14. Plotting with 3D Axes.mp4
    05:40
  • 15. Looking at Various 3D Plot Types.mp4
    10:42
  • 16. The Basemap Methods.mp4
    11:55
  • 17. Plotting on Map Projections.mp4
    11:02
  • 18. Adding Geography.mp4
    09:15
  • 19. Interactive Plots in the Jupyter Notebook.mp4
    07:43
  • 20. Event Handling with Plot Callbacks.mp4
    08:37
  • 21. GUI Neutral Widgets.mp4
    11:22
  • 22. Making Movies.mp4
    07:45
  • 23. Test Your Knowledge.html
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    Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.
    • language english
    • Training sessions 87
    • duration 10:23:44
    • English subtitles has
    • Release Date 2024/03/15