Udemy - Data Manipulation in Python: A Pandas Crash Course

Udemy - Data Manipulation in Python: A Pandas Crash Course
     4. Extra - Chapter 3 Visualisation Runthrough.mp4 -


     TutsNode.com.txt -


     2. Different types of merging.srt -


     5. Pivot Margins.srt -


     4. Pivoting.srt -


     4. Extra - Chapter 3 Visualisation Runthrough.srt -


     3. BONUS Learning Path.html -


     4. Visualising 2D distributions.srt -


     2. Slicing and Filtering.srt -


     5. Apply, map and vectorised functions.srt -


     1. Introduction and basic syntax.srt -


     6. Get the materials.html -


     2. MultiIndex II - MultiIndex Strikes Back.srt -


     6. Extra - Chapter 5 Grouping Runthrough.srt -


     4. Removing and adding data.srt -


     3. Visualising 1D distributions.srt -


     3. Stacking and Unstacking.srt -


     8. Extra - Chapter 7 Advanced Runthrough.srt -


     6. Higher dimension visualisations.srt -


     2. Basic grouping syntax.srt -


     2. Jupyter Notebooks and Loading Data.srt -


     9. Extra - Chapter 8 TimeSeries Runthrough.srt -


     1. Introduction, Labelling and Ordering.srt -


     1. Introduction and basic MultiIndexes.srt -


     4. Rolling functions.srt -


     7. Extra - Chapter 6 Merging Runthrough.srt -


     2. Reindexing.srt -


     3. Resampling.srt -


     4. Setting up python and editors.srt -


     2. Extra - Customising Jupyter Notebooks.srt -


     3. Intelligent imputation.srt -


     1. Introduction and super basic plots.srt -


     5. Saving and Serialising.srt -


     5. Time Zones.srt -


     1. Introduction and the Datetime Index.srt -


     3. Helpful merging functions.srt -


     2. Pandas vs Matplotlib.srt -


     7. Summary.srt -


     4. Grouping aggregation.srt -


     6. Crosstab.srt -


     5. Styling Pandas Table outputs.srt -


     3. Pandas vs Numpy.srt -


     6. Inspecting DataFrames.srt -


     5. Live Install.srt -


     7. Melting.srt -


     5. Extra - Chapter 4 Basics Runthrough.srt -


     3. Replacing and Thresholding.srt -


     1. Introduction.srt -


     2. Who Am I And how to get help.srt -


     1. A recap and a thank you.srt -


     3. Extra - Chapter 2 Data Runthrough.srt -


     1. Introduction and motivation.srt -


     8. Summary.srt -


     1. Finding Datasets.srt -


     4. Creating DataFrames.srt -


     6. Summary.srt -


     5. Summary.srt -


     6. Summary.srt -


     4. Summary.srt -


     [TGx]Downloaded from torrentgalaxy.to .txt -


     0 -


     4. Pivoting.mp4 -


     1 -


     3. Stacking and Unstacking.mp4 -


     2 -


     4. Visualising 2D distributions.mp4 -


     3 -


     5. Pivot Margins.mp4 -


     4 -


     2. Different types of merging.mp4 -


     5 -


     7. Extra - Chapter 6 Merging Runthrough.mp4 -


     6 -


     8. Extra - Chapter 7 Advanced Runthrough.mp4 -


     7 -


     6. Extra - Chapter 5 Grouping Runthrough.mp4 -


     8 -


     9. Extra - Chapter 8 TimeSeries Runthrough.mp4 -


     9 -


     2. Extra - Customising Jupyter Notebooks.mp4 -


     10 -


     1. Introduction and basic syntax.mp4 -


     11 -


     1. Introduction, Labelling and Ordering.mp4 -


     12 -


     3. Resampling.mp4 -


     13 -


     2. Jupyter Notebooks and Loading Data.mp4 -


     14 -


     2. Slicing and Filtering.mp4 -


     15 -


     6. Higher dimension visualisations.mp4 -


     16 -


     4. Rolling functions.mp4 -


     17 -


     4. Removing and adding data.mp4 -


     18 -


     1. Introduction and basic MultiIndexes.mp4 -


     19 -


     2. Basic grouping syntax.mp4 -


     20 -


     2. Reindexing.mp4 -


     21 -


     1. Introduction and the Datetime Index.mp4 -


     22 -


     5. Time Zones.mp4 -


     23 -


     2. MultiIndex II - MultiIndex Strikes Back.mp4 -


     24 -


     3. Helpful merging functions.mp4 -


     25 -


     4. Setting up python and editors.mp4 -


     26 -


     5. Apply, map and vectorised functions.mp4 -


     27 -


     5. Styling Pandas Table outputs.mp4 -


     28 -


     3. Visualising 1D distributions.mp4 -


     29 -


     2. Pandas vs Matplotlib.mp4 -


     30 -


     5. Saving and Serialising.mp4 -


     31 -


     6. Crosstab.mp4 -


     32 -


     1. Introduction and super basic plots.mp4 -


     33 -


     5. Extra - Chapter 4 Basics Runthrough.mp4 -


     34 -


     4. Grouping aggregation.mp4 -


     35 -


     3. Intelligent imputation.mp4 -


     36 -


     5. Live Install.mp4 -


     37 -


     6. Inspecting DataFrames.mp4 -


     38 -


     3. Pandas vs Numpy.mp4 -


     39 -


     1. Introduction.mp4 -


     40 -


     8. Summary.mp4 -


     41 -


     3. Replacing and Thresholding.mp4 -


     42 -


     7. Melting.mp4 -


     43 -


     1. Finding Datasets.mp4 -


     44 -


     2. Who Am I And how to get help.mp4 -


     45 -


     1. A recap and a thank you.mp4 -


     46 -


     6. Summary.mp4 -


     47 -


     5. Summary.mp4 -


     48 -


     3. Extra - Chapter 2 Data Runthrough.mp4 -


     49 -


     4. Creating DataFrames.mp4 -


     50 -


     7. Summary.mp4 -


     51 -


     1. Introduction and motivation.mp4 -


     52 -


     4. Summary.mp4 -


     53 -


     6. Summary.mp4 -

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