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pandas Essential Training

Nov 03, 2017 • Jonathan Fernandes

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About this course

Discover how to work with the pandas library and tools for data analysis and data structuring.



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Welcome

1m
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What you should know

31s
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Exercise files

32s
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Installing Anaconda

2m 59s
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Downloading the data set

1m 37s
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Using the Jupyter notebook

3m 59s
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Using Pandas

2m 51s
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DataFrames

1m 19s
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Series

4m 32s
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Challenge

41s
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Solution

2m 41s
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Using read_csv()

3m 24s
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Using shape

1m 25s
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Using head() and tail()

1m 48s
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Using info()

1m 2s
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Using value_counts()

3m 13s
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Using sort_values()

3m 33s
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Boolean indexing

2m 30s
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String handling

1m 33s
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Challenge

1m 15s
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Solution

7m 40s
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Basic plotting

1m 39s
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Plot types

4m 10s
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Colors

1m 1s
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Figsize

40s
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Colormaps

1m 29s
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Seaborn basic plotting

3m 29s
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Challenge

52s
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Solution

5m 15s
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Index

1m 30s
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Using set_index()

2m 51s
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Using reset_index()

1m 23s
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Using sort_index()

2m 25s
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Using loc[]

2m 7s
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Using iloc[]

2m 3s
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Challenge

33s
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Solution

7m 39s
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Groupby

2m 9s
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Iterate through a group

1m 56s
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Groupby computations

5m 55s
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Challenge

38s
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Solution

3m 43s
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Reshaping

3m 34s
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Using stack()

1m 41s
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Using unstack()

1m 27s
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Challenge

43s
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Solution

6m 7s
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Learning heatmaps

5m 38s
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Creating your own colormaps

4m 31s
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Final challenge

34s
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Final solution

6m
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Next steps

1m 1s