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  1. Welcome

   1. Welcome & Introduction.srt

   1.2 Medium.html

   1.4 Website.html

   2. Setting up the environment.mp4

   2.1 Link to our programming environment.html

  10. Data exploration with Plotly Wind dataset

   1. Polar charts.srt

   2. Presentation and loading of the dataset.srt

   3. Which way is the wind blowing With what intensity.srt

  11. Data exploration with Plotly FMRI

   1. Presentation and loading of the dataset.srt

   2. How does the brain react to certain events.srt

  12. Data exploration with Plotly Stocks

   1. Presentation and loading of the dataset.srt

   2. How have the stock prices evolved.srt

  2. Matplotlib

   1. A brief introduction to matplotlib.srt

   10. Draw lines on the graph.mp4

   11. Manipulate the axes of the graph.mp4

   2. Line Plot.mp4

   3. Our first graph.mp4

   4. Anatomy of a figure in matplotlib.mp4

   5. The Figure and Axes classes.mp4

   6. Pyplot.mp4

   7. Object-oriented interface.mp4

   8. Add annotations to the graph.mp4

   9. Draw shapes on the graph.mp4

  3. Data exploration with matplotlib Iris dataset

   1. Dataset presentation.srt

   10. Box Plot.srt

   11. What is the range of values for each feature.srt

   12. Violin Plot.srt

   13. Feature value distribution.srt

   14. Bar chart.srt

   15. Multiple graphs.srt

   16. Do different species have different features.srt

   17. Global styles.srt

   2. Loading the dataset.srt

   3. Pie chart.srt

   4. How many records of each class do we have.srt

   5. Modifying the style of the chart.srt

   6. Scatter plot.srt

   7. Can we differentiate the species by their petals.srt

   8. 3D Plots.srt

   9. Does it help to know the length of the sepal.srt

  4. Image manipulation with matplotlib

   1. Using images in matplotlib.srt

   2. Grayscale vs RGB.srt

   3. Color maps.srt

   4. Creating complex graph structures.srt

   5. Creating color histograms for an image.srt

   6. Increasing image resolution.srt

   7. Saving images or graphs to a local file.srt

  5. Seaborn

   1. Introduction to Seaborn.srt

   2. Figure level and axes level graphs.srt

   4. Pandas DataFrames.mp4

   5. Modifying the style of the graphs.mp4

  6. Data exploration with Seaborn Titanic dataset

   1. Data presentation.srt

   2. Loading the dataset.srt

   3. Density plots.srt

   4. Who was on the Titanic - Part 1.srt

   5. Who was on the Titanic - Part 2.srt

   6. How much did the guests pay.srt

   7. Does paying more improve the odds of surviving.srt

   8. Where did the guests stay.srt

   9. What are the odds of surviving.srt

  7. Data exploration with Seaborn Penguin species

   1. Presentation and loading of the dataset.srt

   2. The PairGrid class.srt

   3. How can we differentiate between penguin species.srt

   4. The JointPlot class and marginal plots.srt

   5. Identifying penguins with joint plots.srt

  8. Data exploration with Seaborn monthly number of flights

   1. Presentation and loading of the dataset.srt

   2. Long vs wide data format.srt

   3. Evolution of the number of flights.srt

  9. Plotly

   1. Introduction to Plotly.srt

   2. Plotly express.srt