| 1. A brief introduction to matplotlib.mp4 | 10.7 MB | ||
| 1. A brief introduction to matplotlib.srt | 2.8 KB | ||
| 1. Data presentation.mp4 | 10.4 MB | ||
| 1. Data presentation.srt | 1.9 KB | ||
| 1. Dataset presentation.mp4 | 20.3 MB | ||
| 1. Dataset presentation.srt | 4.4 KB | ||
| 1. Introduction to Plotly.mp4 | 9.1 MB | ||
| 1. Introduction to Plotly.srt | 2.8 KB | ||
| 1. Introduction to Seaborn.mp4 | 3.6 MB | ||
| 1. Introduction to Seaborn.srt | 1 KB | ||
| 1. Polar charts.mp4 | 6.1 MB | ||
| 1. Polar charts.srt | 1.6 KB | ||
| 1. Presentation and loading of the dataset.mp4 | 3.4 MB | ||
| 1. Presentation and loading of the dataset.srt | 716.8 B | ||
| 1. Using images in matplotlib.mp4 | 19.5 MB | ||
| 1. Using images in matplotlib.srt | 2.9 KB | ||
| 1. Welcome & Introduction.mp4 | 24 MB | ||
| 1. Welcome & Introduction.srt | 6.1 KB | ||
| 1.1 Facebook.html | 102.4 B | ||
| 1.1 Learn the basics of NumPy (free).html | 102.4 B | ||
| 1.2 Medium.html | 102.4 B | ||
| 1.3 Twitter.html | 102.4 B | ||
| 1.4 Website.html | 102.4 B | ||
| 1.5 Youtube channel.html | 102.4 B | ||
| 10. Box Plot.mp4 | 11.2 MB | ||
| 10. Box Plot.srt | 3.6 KB | ||
| 10. Draw lines on the graph.mp4 | 10.8 MB | ||
| 10. Draw lines on the graph.srt | 2.3 KB | ||
| 11. Manipulate the axes of the graph.mp4 | 36.9 MB | ||
| 11. Manipulate the axes of the graph.srt | 7.2 KB | ||
| 11. What is the range of values for each feature.mp4 | 15.9 MB | ||
| 11. What is the range of values for each feature.srt | 2.5 KB | ||
| 12. Violin Plot.mp4 | 7.5 MB | ||
| 12. Violin Plot.srt | 2.7 KB | ||
| 13. Feature value distribution.mp4 | 47.8 MB | ||
| 13. Feature value distribution.srt | 8.6 KB | ||
| 14. Bar chart.mp4 | 4.2 MB | ||
| 14. Bar chart.srt | 1.3 KB | ||
| 15. Multiple graphs.mp4 | 8.1 MB | ||
| 15. Multiple graphs.srt | 2.1 KB | ||
| 16. Do different species have different features.mp4 | 71 MB | ||
| 16. Do different species have different features.srt | 9.9 KB | ||
| 17. Global styles.mp4 | 14 MB | ||
| 17. Global styles.srt | 2.4 KB | ||
| 2. Figure level and axes level graphs.mp4 | 25 MB | ||
| 2. Figure level and axes level graphs.srt | 4 KB | ||
| 2. Grayscale vs RGB.mp4 | 27.8 MB | ||
| 2. Grayscale vs RGB.srt | 2.9 KB | ||
| 2. How does the brain react to certain events.mp4 | 52.2 MB | ||
| 2. How does the brain react to certain events.srt | 6.2 KB | ||
| 2. How have the stock prices evolved.mp4 | 23.8 MB | ||
| 2. How have the stock prices evolved.srt | 2.8 KB | ||
| 2. Line Plot.mp4 | 5.8 MB | ||
| 2. Line Plot.srt | 1.9 KB | ||
| 2. Loading the dataset.mp4 | 12.7 MB | ||
| 2. Loading the dataset.srt | 3 KB | ||
| 2. Long vs wide data format.mp4 | 6.9 MB | ||
| 2. Long vs wide data format.srt | 1.3 KB | ||
| 2. Plotly express.mp4 | 5.8 MB | ||
| 2. Plotly express.srt | 1.8 KB | ||
| 2. Presentation and loading of the dataset.mp4 | 4.8 MB | ||
| 2. Presentation and loading of the dataset.srt | 3.1 KB | ||
| 2. Setting up the environment.mp4 | 6.3 MB | ||
| 2. Setting up the environment.srt | 2.1 KB | ||
| 2. The PairGrid class.mp4 | 14.3 MB | ||
| 2. The PairGrid class.srt | 2.5 KB | ||
| 2.1 Link to our programming environment.html | 204.8 B | ||
| 3. Color maps.mp4 | 55.1 MB | ||
| 3. Color maps.srt | 5.4 KB | ||
| 3. Density plots.mp4 | 4.1 MB | ||
| 3. Density plots.srt | 1.4 KB | ||
| 3. Evolution of the number of flights.mp4 | 25.4 MB | ||
| 3. Evolution of the number of flights.srt | 3.9 KB | ||
| 3. How can we differentiate between penguin species.mp4 | 44.2 MB | ||
| 3. How can we differentiate between penguin species.srt | 4.2 KB | ||
| 3. Our first graph.mp4 | 19.7 MB | ||
| 3. Our first graph.srt | 4.3 KB | ||
| 3. Pie chart.mp4 | 6.3 MB | ||
| 3. Pie chart.srt | 1.9 KB | ||
| 3. The FacetGrid and AxesSubplot classes.html | 102.4 B | ||
| 3. Which way is the wind blowing With what intensity.mp4 | 67 MB | ||
| 3. Which way is the wind blowing With what intensity.srt | 10.3 KB | ||
| 4. Anatomy of a figure in matplotlib.mp4 | 25.1 MB | ||
| 4. Anatomy of a figure in matplotlib.srt | 3.9 KB | ||
| 4. Creating complex graph structures.mp4 | 43.5 MB | ||
| 4. Creating complex graph structures.srt | 6 KB | ||
| 4. How many records of each class do we have.mp4 | 31 MB | ||
| 4. How many records of each class do we have.srt | 4.5 KB | ||
| 4. Pandas DataFrames.mp4 | 6.3 MB | ||
| 4. Pandas DataFrames.srt | 2.5 KB | ||
| 4. The JointPlot class and marginal plots.mp4 | 11.9 MB | ||
| 4. The JointPlot class and marginal plots.srt | 2.5 KB | ||
| 4. Who was on the Titanic - Part 1.mp4 | 36.3 MB | ||
| 4. Who was on the Titanic - Part 1.srt | 6.6 KB | ||
| 5. Creating color histograms for an image.mp4 | 54.2 MB | ||
| 5. Creating color histograms for an image.srt | 7.6 KB | ||
| 5. Identifying penguins with joint plots.mp4 | 87.8 MB | ||
| 5. Identifying penguins with joint plots.srt | 9.8 KB | ||
| 5. Modifying the style of the chart.mp4 | 20.4 MB | ||
| 5. Modifying the style of the chart.srt | 3 KB | ||
| 5. Modifying the style of the graphs.mp4 | 34.2 MB | ||
| 5. Modifying the style of the graphs.srt | 7.4 KB | ||
| 5. The Figure and Axes classes.mp4 | 13.8 MB | ||
| 5. The Figure and Axes classes.srt | 2.6 KB | ||
| 5. Who was on the Titanic - Part 2.mp4 | 53.2 MB | ||
| 5. Who was on the Titanic - Part 2.srt | 8.8 KB | ||
| 6. How much did the guests pay.mp4 | 12.3 MB | ||
| 6. How much did the guests pay.srt | 2.4 KB | ||
| 6. Increasing image resolution.mp4 | 13.7 MB | ||
| 6. Increasing image resolution.srt | 2.3 KB | ||
| 6. Pyplot.mp4 | 12.8 MB | ||
| 6. Pyplot.srt | 7.2 KB | ||
| 6. Scatter plot.mp4 | 7.6 MB | ||
| 6. Scatter plot.srt | 2.1 KB | ||
| 7. Can we differentiate the species by their petals.mp4 | 33.9 MB | ||
| 7. Can we differentiate the species by their petals.srt | 6.7 KB | ||
| 7. Does paying more improve the odds of surviving.mp4 | 22.2 MB | ||
| 7. Does paying more improve the odds of surviving.srt | 4.7 KB | ||
| 7. Object-oriented interface.mp4 | 39.3 MB | ||
| 7. Object-oriented interface.srt | 6.4 KB | ||
| 7. Saving images or graphs to a local file.mp4 | 4.1 MB | ||
| 7. Saving images or graphs to a local file.srt | 921.6 B | ||
| 8. 3D Plots.mp4 | 8.9 MB | ||
| 8. 3D Plots.srt | 2 KB | ||
| 8. Add annotations to the graph.mp4 | 43.1 MB | ||
| 8. Add annotations to the graph.srt | 6.8 KB | ||
| 8. Where did the guests stay.mp4 | 19.3 MB | ||
| 8. Where did the guests stay.srt | 3.6 KB | ||
| 9. Does it help to know the length of the sepal.mp4 | 39.5 MB | ||
| 9. Does it help to know the length of the sepal.srt | 6.2 KB | ||
| 9. Draw shapes on the graph.mp4 | 26.4 MB | ||
| 9. Draw shapes on the graph.srt | 5 KB | ||
| 9. What are the odds of surviving.mp4 | 28.5 MB | ||
| 9. What are the odds of surviving.srt | 4.7 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 144 total files | |||
Data Visualization in Python (Mplib, Seaborn, Plotly, Dash)
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 68 lectures (4h 23m) | Size: 1.41 GB
Master data visualization in Python with the matplotlib, seaborn, plotly and dash libraries
What you'll learn:
Explore data sets visually in Python.
Create web interfaces to visually present results.
Master the most important Python data visualization libraries (matplotlib, seaborn, plotly and dash).
Synthesize data sets for presentation to non-technical audiences.
Requirements
Very basic Python knowledge.
Description
Learn how to synthesize complex data sets easily in a visual way. In this course, you will develop this basic data science skill (data visualization) by exploring real data sets with the most popular Python tools (matplotlib, seaborn, plotly, and dash). You will learn how to extract the most relevant information from data and present it with a variety of graphs and charts to non-technical people.
Learn how to extract visual knowledge from complex data for decision-making with Python.
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