Lynda - pandas Essential Training

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Lynda - pandas Essential Training

Torrent Contents Size: 362.74 MB

Lynda - pandas Essential Training
1.Introduction
01.Welcome.en.srt
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1.8 KB
01.Welcome.mp4
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7.09 MB
02.What you should know.en.srt
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925 B
02.What you should know.mp4
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1.31 MB
03.Exercise files.en.srt
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993 B
03.Exercise files.mp4
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1.23 MB
10.9. Data Visualizations
48.Learning heatmaps.en.srt
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6.98 KB
48.Learning heatmaps.mp4
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15.11 MB
49.Creating your own colormaps.en.srt
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5.38 KB
49.Creating your own colormaps.mp4
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12.46 MB
11.10. Challenge
50.Final challenge.en.srt
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931 B
50.Final challenge.mp4
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1.64 MB
51.Final solution.en.srt
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7.73 KB
51.Final solution.mp4
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15.67 MB
12.Conclusion
52.Next steps.en.srt
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1.9 KB
52.Next steps.mp4
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3.01 MB
2.1. Technical Setup
04.Installing Anaconda.en.srt
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4.18 KB
04.Installing Anaconda.mp4
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8.59 MB
05.Downloading the data set.en.srt
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2.17 KB
05.Downloading the data set.mp4
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4.93 MB
06.Using the Jupyter notebook.en.srt
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5.61 KB
06.Using the Jupyter notebook.mp4
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9.11 MB
07.Using Pandas.en.srt
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4.37 KB
07.Using Pandas.mp4
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6.98 MB
3.2. Series and DataFrames
08.DataFrames.en.srt
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2 KB
08.DataFrames.mp4
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4.3 MB
09.Series.en.srt
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6.55 KB
09.Series.mp4
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12.91 MB
10.Challenge.en.srt
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1.05 KB
10.Challenge.mp4
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1.8 MB
11.Solution.en.srt
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3.67 KB
11.Solution.mp4
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8.64 MB
4.3. Data Input and Validation
12.Using read_csv().en.srt
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4.96 KB
12.Using read_csv().mp4
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9.21 MB
13.Using shape.en.srt
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2.36 KB
13.Using shape.mp4
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3.48 MB
14.Using head() and tail().en.srt
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2.77 KB
14.Using head() and tail().mp4
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4.99 MB
15.Using info().en.srt
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1.88 KB
15.Using info().mp4
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2.63 MB
5.4. Basic Analysis
16.Using value_counts().en.srt
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4.79 KB
16.Using value_counts().mp4
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7.88 MB
17.Using sort_values().en.srt
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5.38 KB
17.Using sort_values().mp4
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11.57 MB
18.Boolean indexing.en.srt
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3.79 KB
18.Boolean indexing.mp4
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7.33 MB
19.String handling.en.srt
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2.3 KB
19.String handling.mp4
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3.81 MB
20.Challenge.en.srt
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2.08 KB
20.Challenge.mp4
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3.14 MB
21.Solution.en.srt
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10.32 KB
21.Solution.mp4
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19.76 MB
6.5. Basic Plotting
22.Basic plotting.en.srt
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2.82 KB
22.Basic plotting.mp4
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3.56 MB
23.Plot types.en.srt
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5.99 KB
23.Plot types.mp4
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10.74 MB
24.Colors.en.srt
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1.37 KB
24.Colors.mp4
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2.86 MB
25.Figsize.en.srt
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1.03 KB
25.Figsize.mp4
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1.68 MB
26.Colormaps.en.srt
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2.31 KB
26.Colormaps.mp4
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3.87 MB
27.Seaborn basic plotting.en.srt
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5.19 KB
27.Seaborn basic plotting.mp4
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9.26 MB
28.Challenge.en.srt
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1.42 KB
28.Challenge.mp4
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2.22 MB
29.Solution.en.srt
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7.07 KB
29.Solution.mp4
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12.03 MB
7.6. Indexing
30.Index.en.srt
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2.09 KB
30.Index.mp4
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3.85 MB
31.Using set_index().en.srt
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3.86 KB
31.Using set_index().mp4
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7.89 MB
32.Using reset_index().en.srt
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2.04 KB
32.Using reset_index().mp4
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3.58 MB
33.Using sort_index().en.srt
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3.32 KB
33.Using sort_index().mp4
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6.59 MB
34.Using loc[].en.srt
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2.86 KB
34.Using loc[].mp4
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5.66 MB
35.Using iloc[].en.srt
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2.83 KB
35.Using iloc[].mp4
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5.5 MB
36.Challenge.en.srt
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949 B
36.Challenge.mp4
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1.49 MB
37.Solution.en.srt
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10.49 KB
37.Solution.mp4
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18.64 MB
8.7. Groupby
38.Groupby.en.srt
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3.39 KB
38.Groupby.mp4
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5.81 MB
39.Iterate through a group.en.srt
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2.79 KB
39.Iterate through a group.mp4
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4.84 MB
40.Groupby computations.en.srt
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8.4 KB
40.Groupby computations.mp4
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14.56 MB
41.Challenge.en.srt
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1.05 KB
41.Challenge.mp4
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1.78 MB
42.Solution.en.srt
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5.15 KB
42.Solution.mp4
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10.4 MB
9.8. Reshaping
43.Reshaping.en.srt
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4.23 KB
43.Reshaping.mp4
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9.43 MB
44.Using stack().en.srt
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2.43 KB
44.Using stack().mp4
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4.19 MB
45.Using unstack().en.srt
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2.3 KB
45.Using unstack().mp4
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3.63 MB
46.Challenge.en.srt
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1.24 KB
46.Challenge.mp4
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1.95 MB
47.Solution.en.srt
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8.85 KB
47.Solution.mp4
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16.85 MB
Exercise Files
Ex_Files_Pandas_EssT.zip
ZIP
1.09 MB

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