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Python Bootcamp for Data Science 2021 Numpy Pandas Seaborn

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English

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Files:

5. Housing Dataset Analysis -Part Five.mp4 40.0 MB
TutsNode.com.txt 63 bytes
2. List.srt 9.2 KB
5. Housing Dataset Analysis -Part Five.srt 8.7 KB
[TGx]Downloaded from torrentgalaxy.to .txt 585 bytes
5. Short Quiz.html 213 bytes
0 179 bytes
2. How to Download Course Notebooks.mp4 38.1 MB
2.1 How to download course notebooks.pdf 140.2 KB
1. Merging Datasets on Keys (common columns).srt 8.2 KB
2. Dataframe in Pandas.srt 7.7 KB
7. Adding Annotations and Drawings on a Plot.srt 7.6 KB
2. Creating Ndarrays.srt 7.4 KB
3. Basics of Time Series.srt 7.4 KB
3. Concatenating Along an Axis.srt 7.2 KB
2. Tour In Basics of Jupyter Notebooks.srt 7.0 KB
8. Rolling and Moving Windows.srt 6.7 KB
2. Creating Figures and Subplots.srt 6.7 KB
10. Mathematical and Statistical Methods.srt 6.6 KB
5. Shifting Data Through Time (Lagging and Leading).srt 6.6 KB
1. Hierarchical Indexing.srt 6.5 KB
3. Reshaping by Pivoting (Long to Wide).srt 6.4 KB
14. Factor Plots for Categorical Data.srt 6.4 KB
4. Housing Dataset Analysis -Part Four.srt 6.2 KB
2. How to Download Course Notebooks.srt 6.2 KB
1. Creating and Calling Functions.srt 6.2 KB
6. Indexing, Slicing and Filtering.srt 6.1 KB
7. Boolean Indexing.srt 6.1 KB
1. Running Jupyter Notebook.srt 5.9 KB
3. Overview of Course Curriculum.srt 5.9 KB
1. Series in Pandas.srt 5.9 KB
2. Reshaping by Melting (Wide to Long ).srt 5.9 KB
4. Set.srt 2.3 KB
1. Reading Data in Text Format-Part1.srt 5.8 KB
6. Handling Time Zone.srt 5.7 KB
11. Bar Plots with Seaborn.srt 5.6 KB
1. Reshaping by Stacking and Unstacking.srt 5.6 KB
2. Returning Multiple Values.srt 2.3 KB
7. Resampling and Frequency Conversion.srt 5.5 KB
13. Scatter Plots and Pair Plots.srt 5.4 KB
4. Short Quiz.html 213 bytes
2. Converting Between String and Datetime.srt 5.3 KB
1. What Is NumPy Arrays (Ndarrays).srt 2.9 KB
3. Cloud Environment Google Colab Jupyter Notebooks.srt 5.3 KB
12. Histograms and Density Plots.srt 5.1 KB
7. Arithmetic with Dataframe.srt 5.0 KB
1. Tuple.srt 5.0 KB
4. Indexing with Columns in Dataframe.srt 5.0 KB
6. Adding Texts and Arrows on a Plot.srt 4.9 KB
3. Data Types for Ndarrays.srt 4.9 KB
4. Customizing Ticks and Labels.srt 4.9 KB
7. Filtering Outliers.srt 4.9 KB
10. String Object Methods.srt 4.8 KB
9. Line Plots with Dataframe.srt 4.8 KB
6. Indexing and Slicing-Part two.srt 4.7 KB
9. Descriptive Statistics with Dataframe.srt 4.7 KB
4. Generating Date Ranges.srt 4.6 KB
1. Course Introduction.srt 4.5 KB
9. Transposing Arrays.srt 2.0 KB
3. Housing Dataset Analysis -Part Three.srt 4.5 KB
13. Short Quiz.html 213 bytes
1 50 bytes
1. Merging Datasets on Keys (common columns).mp4 36.9 MB
4. Getting Help in Jupyter Notebook.srt 4.5 KB
3. Filling in Missing Data.srt 4.5 KB
1. Date and time Data types.srt 4.5 KB
5. Adding Legends.srt 4.4 KB
8. Sorting Series and Dataframe.srt 4.4 KB
2. Filtering out Missing Data.srt 4.3 KB
2. Reading Data in Text Format-Part2.srt 4.3 KB
8. Fancy Indexing.srt 4.3 KB
3. Writing Data in Text Format.srt 4.2 KB
10. Bar Plots with Dataframes.srt 4.2 KB
4. Reindexing in Series and DataFrames.srt 3.0 KB
1. Housing Dataset Analysis -Part One.srt 4.2 KB
2. Housing Dataset Analysis -Part Two.srt 4.2 KB
5. Magic Commands.srt 4.2 KB
1. Decide Which Python Environment to Use.srt 4.2 KB
2. Local environment Installing Anaconda.srt 4.2 KB
5. Indexing and Slicing-Part One.srt 4.2 KB
3. Summary Statistics by Level.srt 4.1 KB
8. Shuffling and Random Sampling.srt 4.1 KB
10. Correlation and Covariance.srt 4.1 KB
3. Cell Types in Jupyter Notebook.srt 4.1 KB
3. Changing Colors, Markers and Linestyle.srt 4.0 KB
3. Index Objects.srt 4.0 KB
11. Short Quiz.html 213 bytes
9. Dummy Variables.srt 3.9 KB
8. Saving Plots to a File.srt 3.9 KB
3. Lambda Functions.srt 3.8 KB
5. Replacing Values.srt 3.5 KB
11. Sorting Arrays.srt 3.5 KB
5. Short Quiz.html 213 bytes
11. Short Quiz.html 213 bytes
4. Reading Microsoft Excel Files.srt 2.4 KB
1. Handling Missing Data.srt 3.4 KB
3. Dictionary.srt 3.3 KB
5. Deleting Rows and Columns.srt 3.2 KB
12. File Input and Output with Arrays.srt 3.2 KB
1. Introducing Matplotlib Library.srt 3.2 KB
4. Arithmetic with NumPy Arrays.srt 3.1 KB
2. Merging Datasets on Index.srt 3.1 KB
2. Reordering and Sorting Index Levels.srt 3.0 KB
4. Removing Duplicate Entries.srt 2.7 KB
6. Renaming columns and Index Labels.srt 2.8 KB
5. Short Quiz.html 213 bytes
4. Short Quiz.html 213 bytes
4. Short Quiz.html 213 bytes
15. Short Quiz.html 213 bytes
9. Short Quiz.html 213 bytes
2 478.1 KB
2. List.mp4 36.4 MB
3 133.6 KB
13. Scatter Plots and Pair Plots.mp4 35.8 MB
4 225.7 KB
10. Mathematical and Statistical Methods.mp4 35.4 MB
5 113.0 KB
2. Dataframe in Pandas.mp4 34.0 MB
6 42.1 KB
6. Handling Time Zone.mp4 33.5 MB
7 41.1 KB
5. Shifting Data Through Time (Lagging and Leading).mp4 33.2 MB
8 332.8 KB
3. Basics of Time Series.mp4 32.8 MB
9 216.1 KB
4. Housing Dataset Analysis -Part Four.mp4 31.9 MB
10 52.6 KB
7. Adding Annotations and Drawings on a Plot.mp4 31.5 MB
11 489.3 KB
2. Creating Figures and Subplots.mp4 31.2 MB
12 280.2 KB
1. Hierarchical Indexing.mp4 31.2 MB
13 284.1 KB
2. Creating Ndarrays.mp4 31.2 MB
14 284.2 KB
3. Concatenating Along an Axis.mp4 30.1 MB
15 403.6 KB
8. Rolling and Moving Windows.mp4 29.8 MB
16 234.8 KB
3. Housing Dataset Analysis -Part Three.mp4 29.7 MB
17 277.7 KB
4. Generating Date Ranges.mp4 29.5 MB
18 37.6 KB
3. Reshaping by Pivoting (Long to Wide).mp4 28.9 MB
19 83.1 KB
1. Running Jupyter Notebook.mp4 28.8 MB
20 243.3 KB
4. Customizing Ticks and Labels.mp4 28.6 MB
21 420.8 KB
7. Boolean Indexing.mp4 28.2 MB
22 347.3 KB
12. Histograms and Density Plots.mp4 27.8 MB
23 221.5 KB
14. Factor Plots for Categorical Data.mp4 27.3 MB
24 182.6 KB
3. Overview of Course Curriculum.mp4 27.1 MB
25 412.9 KB
2. Tour In Basics of Jupyter Notebooks.mp4 26.9 MB
26 131.2 KB
9. Line Plots with Dataframe.mp4 26.7 MB
27 286.8 KB
1. Reshaping by Stacking and Unstacking.mp4 26.5 MB
28 26.7 KB
2. Converting Between String and Datetime.mp4 25.9 MB
29 144.8 KB
11. Bar Plots with Seaborn.mp4 25.7 MB
30 322.3 KB
6. Indexing, Slicing and Filtering.mp4 25.3 MB
31 172.9 KB
1. Series in Pandas.mp4 24.6 MB
32 397.3 KB
5. Adding Legends.mp4 24.6 MB
33 399.5 KB
1. Creating and Calling Functions.mp4 23.7 MB
34 262.7 KB
6. Adding Texts and Arrows on a Plot.mp4 23.4 MB
35 56.4 KB
5. Magic Commands.mp4 23.4 MB
36 126.4 KB
2. Housing Dataset Analysis -Part Two.mp4 23.3 MB
37 217.4 KB
7. Resampling and Frequency Conversion.mp4 23.1 MB
38 415.7 KB
4. Indexing with Columns in Dataframe.mp4 23.1 MB
39 420.0 KB
7. Filtering Outliers.mp4 22.4 MB
40 59.8 KB
1. Reading Data in Text Format-Part1.mp4 22.3 MB
41 165.0 KB
7. Arithmetic with Dataframe.mp4 22.1 MB
42 371.1 KB
3. Changing Colors, Markers and Linestyle.mp4 21.9 MB
43 63.8 KB
3. Writing Data in Text Format.mp4 21.9 MB
44 123.9 KB
2. Reading Data in Text Format-Part2.mp4 21.6 MB
45 359.0 KB
3. Filling in Missing Data.mp4 21.3 MB
46 227.9 KB
11. Sorting Arrays.mp4 21.2 MB
47 301.2 KB
8. Shuffling and Random Sampling.mp4 20.9 MB
48 104.4 KB
10. String Object Methods.mp4 20.7 MB
49 325.6 KB
3. Data Types for Ndarrays.mp4 20.6 MB
50 390.6 KB
10. Bar Plots with Dataframes.mp4 20.6 MB
51 415.4 KB
9. Descriptive Statistics with Dataframe.mp4 20.3 MB
52 183.3 KB
2. Filtering out Missing Data.mp4 20.3 MB
53 228.2 KB
8. Sorting Series and Dataframe.mp4 20.3 MB
54 237.7 KB
1. Date and time Data types.mp4 20.2 MB
55 259.7 KB
3. Cloud Environment Google Colab Jupyter Notebooks.mp4 20.2 MB
56 352.8 KB
1. Tuple.mp4 19.8 MB
57 170.9 KB
6. Indexing and Slicing-Part two.mp4 19.8 MB
58 182.5 KB
3. Index Objects.mp4 18.8 MB
59 221.5 KB
10. Correlation and Covariance.mp4 18.7 MB
60 260.2 KB
8. Saving Plots to a File.mp4 18.1 MB
61 359.3 KB
8. Fancy Indexing.mp4 18.0 MB
62 11.0 KB
5. Indexing and Slicing-Part One.mp4 17.8 MB
63 168.8 KB
3. Summary Statistics by Level.mp4 17.3 MB
64 252.0 KB
9. Dummy Variables.mp4 15.7 MB
65 266.3 KB
12. File Input and Output with Arrays.mp4 15.6 MB
66 364.3 KB
4. Getting Help in Jupyter Notebook.mp4 15.6 MB
67 453.5 KB
3. Lambda Functions.mp4 15.3 MB
68 229.2 KB
3. Cell Types in Jupyter Notebook.mp4 15.1 MB
69 439.2 KB
2. Merging Datasets on Index.mp4 15.0 MB
70 494.8 KB
3. Dictionary.mp4 14.8 MB
71 210.3 KB
2. Reordering and Sorting Index Levels.mp4 14.3 MB
72 228.4 KB
1. Course Introduction.mp4 13.9 MB
73 99.5 KB
5. Replacing Values.mp4 13.5 MB
74 494.0 KB
4. Reindexing in Series and DataFrames.mp4 13.4 MB
75 100.3 KB
1. Handling Missing Data.mp4 13.2 MB
76 294.0 KB
4. Arithmetic with NumPy Arrays.mp4 12.9 MB
77 125.2 KB
4. Removing Duplicate Entries.mp4 12.7 MB
78 336.9 KB
4. Reading Microsoft Excel Files.mp4 12.2 MB
79 330.3 KB
1. Decide Which Python Environment to Use.mp4 12.0 MB
80 17.1 KB
1. What Is NumPy Arrays (Ndarrays).mp4 11.5 MB
81 470.3 KB
1. Introducing Matplotlib Library.mp4 11.5 MB
82 22.8 KB
6. Renaming columns and Index Labels.mp4 11.2 MB
83 315.6 KB
1. Housing Dataset Analysis -Part One.mp4 10.8 MB
84 239.1 KB
2. Local environment Installing Anaconda.mp4 10.4 MB
85 56.9 KB
2. Reshaping by Melting (Wide to Long ).mp4 9.5 MB
86 27.8 KB
2. Returning Multiple Values.mp4 9.4 MB
87 130.7 KB
9. Transposing Arrays.mp4 8.9 MB
88 68.7 KB
5. Deleting Rows and Columns.mp4 5.4 MB
89 98.1 KB
4. Set.mp4 4.5 MB

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