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Data Manipulation in Python A Pandas Crash Course
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[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course (Size: 2.84 GB) (Files: 168)
[TutsNode.com] - Data Manipulation in Python A Pandas Crash Course
9. Conclusion
4. Extra - Chapter 3 Visualisation Runthrough.mp4
4. Extra - Chapter 3 Visualisation Runthrough.srt
6. Extra - Chapter 5 Grouping Runthrough.srt
8. Extra - Chapter 7 Advanced Runthrough.srt
9. Extra - Chapter 8 TimeSeries Runthrough.srt
7. Extra - Chapter 6 Merging Runthrough.srt
2. Extra - Customising Jupyter Notebooks.srt
5. Extra - Chapter 4 Basics Runthrough.srt
1. A recap and a thank you.srt
3. Extra - Chapter 2 Data Runthrough.srt
7. Extra - Chapter 6 Merging Runthrough.mp4
8. Extra - Chapter 7 Advanced Runthrough.mp4
6. Extra - Chapter 5 Grouping Runthrough.mp4
9. Extra - Chapter 8 TimeSeries Runthrough.mp4
2. Extra - Customising Jupyter Notebooks.mp4
5. Extra - Chapter 4 Basics Runthrough.mp4
1. A recap and a thank you.mp4
3. Extra - Chapter 2 Data Runthrough.mp4
6. Merging
2. Different types of merging.srt
1. Introduction and basic syntax.srt
3. Helpful merging functions.srt
4. Summary.srt
2. Different types of merging.mp4
1. Introduction and basic syntax.mp4
3. Helpful merging functions.mp4
4. Summary.mp4
7. Advanced Manipulation - MultiIndex, Pivoting and more
5. Pivot Margins.srt
4. Pivoting.srt
2. MultiIndex II - MultiIndex Strikes Back.srt
3. Stacking and Unstacking.srt
1. Introduction and basic MultiIndexes.srt
6. Crosstab.srt
7. Melting.srt
8. Summary.srt
4. Pivoting.mp4
3. Stacking and Unstacking.mp4
5. Pivot Margins.mp4
1. Introduction and basic MultiIndexes.mp4
2. MultiIndex II - MultiIndex Strikes Back.mp4
6. Crosstab.mp4
8. Summary.mp4
7. Melting.mp4
1. Introduction
3. BONUS Learning Path.html
6. Get the materials.html
4. Setting up python and editors.srt
5. Live Install.srt
1. Introduction.srt
2. Who Am I And how to get help.srt
4. Setting up python and editors.mp4
5. Live Install.mp4
1. Introduction.mp4
2. Who Am I And how to get help.mp4
3. Visual exploration
4. Visualising 2D distributions.srt
3. Visualising 1D distributions.srt
6. Higher dimension visualisations.srt
1. Introduction and super basic plots.srt
2. Pandas vs Matplotlib.srt
7. Summary.srt
5. Styling Pandas Table outputs.srt
4. Visualising 2D distributions.mp4
6. Higher dimension visualisations.mp4
5. Styling Pandas Table outputs.mp4
3. Visualising 1D distributions.mp4
2. Pandas vs Matplotlib.mp4
1. Introduction and super basic plots.mp4
7. Summary.mp4
4. Basic Data Manipulations
2. Slicing and Filtering.srt
5. Apply, map and vectorised functions.srt
4. Removing and adding data.srt
1. Introduction, Labelling and Ordering.srt
3. Replacing and Thresholding.srt
6. Summary.srt
1. Introduction, Labelling and Ordering.mp4
2. Slicing and Filtering.mp4
4. Removing and adding data.mp4
5. Apply, map and vectorised functions.mp4
3. Replacing and Thresholding.mp4
6. Summary.mp4
5. Grouping
2. Basic grouping syntax.srt
3. Intelligent imputation.srt
4. Grouping aggregation.srt
1. Introduction and motivation.srt
5. Summary.srt
2. Basic grouping syntax.mp4
4. Grouping aggregation.mp4
3. Intelligent imputation.mp4
5. Summary.mp4
1. Introduction and motivation.mp4
2. Dataset Basics
2. Jupyter Notebooks and Loading Data.srt
5. Saving and Serialising.srt
3. Pandas vs Numpy.srt
6. Inspecting DataFrames.srt
1. Finding Datasets.srt
4. Creating DataFrames.srt
2. Jupyter Notebooks and Loading Data.mp4
5. Saving and Serialising.mp4
6. Inspecting DataFrames.mp4
3. Pandas vs Numpy.mp4
1. Finding Datasets.mp4
4. Creating DataFrames.mp4
8. Time Series Data
4. Rolling functions.srt
2. Reindexing.srt
3. Resampling.srt
5. Time Zones.srt
1. Introduction and the Datetime Index.srt
6. Summary.srt
3. Resampling.mp4
4. Rolling functions.mp4
2. Reindexing.mp4
1. Introduction and the Datetime Index.mp4
5. Time Zones.mp4
6. Summary.mp4
TutsNode.com.txt
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