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1. Introduction/1. Discover new tips and tricks for Python.mp4
4.33MB
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1. Introduction/2. What you should know.mp4
381.83KB
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1. Introduction/3. Using the exercise files.mp4
3.1MB
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1. Introduction/4. Set up on Windows.mp4
6.45MB
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1. Introduction/5. Set up on Mac.mp4
4.85MB
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2. Ingesting Data/1. Working with JSON data.mp4
21.82MB
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2. Ingesting Data/2. Working with CSV files.mp4
7.56MB
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2. Ingesting Data/3. Working with Parquet files.mp4
23.22MB
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2. Ingesting Data/4. Reading data from GitHub API.mp4
13.66MB
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3. Exploring Data/1. Reading data with pandas.mp4
20.87MB
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3. Exploring Data/2. Inspecting DataFrames with pandas.mp4
9.29MB
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3. Exploring Data/3. Aggregating data with pandas.mp4
12.76MB
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3. Exploring Data/4. Exporting data with pandas.mp4
11.93MB
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4. Visualizing Data/1. Basic charts in Plotly.mp4
15.17MB
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4. Visualizing Data/2. Small multiples with Plotly.mp4
14.26MB
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4. Visualizing Data/3. Using color in Plotly.mp4
12.26MB
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4. Visualizing Data/4. Finishing your data visualizations in Plotly.mp4
12.64MB
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5. Conclusion/1. Next steps and additional resources.mp4
1.49MB
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Exercise Files/01_01.ipynb
11.66KB
Exercise Files/01_02.ipynb
9.24KB
Exercise Files/01_03.ipynb
2.38MB
Exercise Files/01_04.ipynb
7.32KB
Exercise Files/02_01.ipynb
3.87KB
Exercise Files/02_02.ipynb
18.22KB
Exercise Files/02_03.ipynb
1.73KB
Exercise Files/02_04.ipynb
7.03KB
Exercise Files/03_01.ipynb
8.3MB
Exercise Files/03_02.ipynb
2.47MB
Exercise Files/03_03.ipynb
14.8MB
Exercise Files/03_04.ipynb
398.11KB
Exercise Files/data/MonthlyProductSales.csv
515.06KB
Exercise Files/data/MonthlyProductSales.parquet
74.24KB
Exercise Files/data/MonthlySales.csv
1019B
Exercise Files/data/anscombes-quartet-hier.csv
496B
Exercise Files/data/anscombes-quartet.csv
607B
Exercise Files/data/diamonds.csv
2.64MB
Exercise Files/data/monthlySalesbyCategoryMultiple.json
1.64KB
Exercise Files/data/mpg.csv
15.67KB
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