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Udemy - Data Manipulation in Python: A Pandas Crash Course

Torrent Info
Category Other
Added Friday 2nd June 2023 12:18:07 AM (3 years ago)
Size2.8 GB
Peers3 Peers (3 Seeders and 0 leechers) update
Downloaded128 times
Uploadertutsnode  Thank You  (0) Report Torrent 00/0
CommentsNone
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Tags English
Seeders3
Leechers0
Torrent Screenshots
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Torrent Files (168)
FilenameSize
4. Extra - Chapter 3 Visualisation Runthrough.mp4107.1 MB
TutsNode.com.txt63 bytes
2. Different types of merging.srt24.8 KB
5. Pivot Margins.srt24.5 KB
4. Pivoting.srt23.6 KB
4. Extra - Chapter 3 Visualisation Runthrough.srt23.4 KB
3. BONUS Learning Path.html1.4 KB
4. Visualising 2D distributions.srt22.9 KB
2. Slicing and Filtering.srt22.3 KB
5. Apply, map and vectorised functions.srt22.2 KB
1. Introduction and basic syntax.srt22.1 KB
6. Get the materials.html593 bytes
2. MultiIndex II - MultiIndex Strikes Back.srt21.9 KB
6. Extra - Chapter 5 Grouping Runthrough.srt21.9 KB
4. Removing and adding data.srt21.8 KB
3. Visualising 1D distributions.srt21.7 KB
3. Stacking and Unstacking.srt21.3 KB
8. Extra - Chapter 7 Advanced Runthrough.srt21.2 KB
6. Higher dimension visualisations.srt20.5 KB
2. Basic grouping syntax.srt20.5 KB
2. Jupyter Notebooks and Loading Data.srt20.4 KB
9. Extra - Chapter 8 TimeSeries Runthrough.srt20.2 KB
1. Introduction, Labelling and Ordering.srt19.9 KB
1. Introduction and basic MultiIndexes.srt19.8 KB
4. Rolling functions.srt18.5 KB
7. Extra - Chapter 6 Merging Runthrough.srt17.5 KB
2. Reindexing.srt17.0 KB
3. Resampling.srt16.2 KB
4. Setting up python and editors.srt16.2 KB
2. Extra - Customising Jupyter Notebooks.srt15.9 KB
3. Intelligent imputation.srt15.8 KB
1. Introduction and super basic plots.srt15.3 KB
5. Saving and Serialising.srt15.0 KB
5. Time Zones.srt14.7 KB
1. Introduction and the Datetime Index.srt14.2 KB
3. Helpful merging functions.srt14.2 KB
2. Pandas vs Matplotlib.srt14.1 KB
7. Summary.srt3.0 KB
4. Grouping aggregation.srt14.1 KB
6. Crosstab.srt13.8 KB
5. Styling Pandas Table outputs.srt13.5 KB
3. Pandas vs Numpy.srt12.8 KB
6. Inspecting DataFrames.srt10.9 KB
5. Live Install.srt10.9 KB
7. Melting.srt10.7 KB
5. Extra - Chapter 4 Basics Runthrough.srt10.6 KB
3. Replacing and Thresholding.srt10.5 KB
1. Introduction.srt9.2 KB
2. Who Am I And how to get help.srt8.3 KB
1. A recap and a thank you.srt8.2 KB
3. Extra - Chapter 2 Data Runthrough.srt7.8 KB
1. Introduction and motivation.srt2.3 KB
8. Summary.srt7.8 KB
1. Finding Datasets.srt6.9 KB
4. Creating DataFrames.srt7.4 KB
6. Summary.srt5.4 KB
5. Summary.srt5.0 KB
6. Summary.srt4.1 KB
4. Summary.srt3.6 KB
[TGx]Downloaded from torrentgalaxy.to .txt585 bytes
086.1 KB
4. Pivoting.mp492.5 MB
1496.6 KB
3. Stacking and Unstacking.mp492.0 MB
221.1 KB
4. Visualising 2D distributions.mp491.5 MB
3505.7 KB
5. Pivot Margins.mp485.2 MB
4844.6 KB
2. Different types of merging.mp483.9 MB
5100.5 KB
7. Extra - Chapter 6 Merging Runthrough.mp481.6 MB
6456.9 KB
8. Extra - Chapter 7 Advanced Runthrough.mp481.2 MB
7827.7 KB
6. Extra - Chapter 5 Grouping Runthrough.mp478.8 MB
8219.1 KB
9. Extra - Chapter 8 TimeSeries Runthrough.mp476.3 MB
9766.5 KB
2. Extra - Customising Jupyter Notebooks.mp471.6 MB
10416.1 KB
1. Introduction and basic syntax.mp470.6 MB
11389.1 KB
1. Introduction, Labelling and Ordering.mp470.0 MB
121010.9 KB
3. Resampling.mp469.6 MB
13430.5 KB
2. Jupyter Notebooks and Loading Data.mp469.2 MB
14832.7 KB
2. Slicing and Filtering.mp468.5 MB
15545.1 KB
6. Higher dimension visualisations.mp467.9 MB
16107.2 KB
4. Rolling functions.mp466.7 MB
17319.9 KB
4. Removing and adding data.mp466.4 MB
18585.5 KB
1. Introduction and basic MultiIndexes.mp466.1 MB
19948.5 KB
2. Basic grouping syntax.mp465.8 MB
20242.3 KB
2. Reindexing.mp463.1 MB
21928.0 KB
1. Introduction and the Datetime Index.mp455.5 MB
22533.9 KB
5. Time Zones.mp454.7 MB
23304.7 KB
2. MultiIndex II - MultiIndex Strikes Back.mp453.9 MB
2479.0 KB
3. Helpful merging functions.mp453.1 MB
25890.1 KB
4. Setting up python and editors.mp452.5 MB
26549.4 KB
5. Apply, map and vectorised functions.mp452.0 MB
271020.0 KB
5. Styling Pandas Table outputs.mp450.1 MB
28911.3 KB
3. Visualising 1D distributions.mp449.6 MB
29426.1 KB
2. Pandas vs Matplotlib.mp447.7 MB
30287.4 KB
5. Saving and Serialising.mp446.0 MB
311014.7 KB
6. Crosstab.mp445.8 MB
32207.6 KB
1. Introduction and super basic plots.mp445.6 MB
33424.2 KB
5. Extra - Chapter 4 Basics Runthrough.mp444.0 MB
3446.7 KB
4. Grouping aggregation.mp443.9 MB
35150.3 KB
3. Intelligent imputation.mp440.8 MB
36174.5 KB
5. Live Install.mp436.0 MB
3726.8 KB
6. Inspecting DataFrames.mp434.8 MB
38239.9 KB
3. Pandas vs Numpy.mp434.5 MB
39498.8 KB
1. Introduction.mp434.1 MB
40907.8 KB
8. Summary.mp433.6 MB
41406.6 KB
3. Replacing and Thresholding.mp432.5 MB
42517.4 KB
7. Melting.mp431.6 MB
43383.8 KB
1. Finding Datasets.mp428.7 MB
44268.2 KB
2. Who Am I And how to get help.mp425.6 MB
45429.2 KB
1. A recap and a thank you.mp425.4 MB
46614.9 KB
6. Summary.mp423.8 MB
47237.8 KB
5. Summary.mp422.3 MB
48760.1 KB
3. Extra - Chapter 2 Data Runthrough.mp420.8 MB
49168.4 KB
4. Creating DataFrames.mp416.0 MB
501014.9 KB
7. Summary.mp415.7 MB
51336.9 KB
1. Introduction and motivation.mp415.1 MB
52941.8 KB
4. Summary.mp414.1 MB
53941.5 KB
6. Summary.mp413.8 MB
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