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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
27.27KB |
| 1 |
896.09KB |
| 1.1 zipcode_income.csv |
4.80MB |
| 1.2 vlookup.py |
689B |
| 1. Excel Visualization.mp4 |
80.86MB |
| 1. Excel Visualization.srt |
9.31KB |
| 1. Excel vs Python.mp4 |
45.90MB |
| 1. Excel vs Python.srt |
9.99KB |
| 1. How Do We Interact With OS.mp4 |
43.02MB |
| 1. How Do We Interact With OS.srt |
5.39KB |
| 1. The Power of Pandas (Teaser Video).mp4 |
79.28MB |
| 1. The Power of Pandas (Teaser Video).srt |
14.02KB |
| 1. Vlookup - I.mp4 |
196.54MB |
| 1. Vlookup - I.srt |
25.62KB |
| 1. What & Why of Numpy and Pandas.mp4 |
62.68MB |
| 1. What & Why of Numpy and Pandas.srt |
10.91KB |
| 10 |
616.86KB |
| 10.1 np_assignment.py |
814B |
| 10. Assignment - SUMIF(s) and COUNTIF(s).mp4 |
105.60MB |
| 10. Assignment - SUMIF(s) and COUNTIF(s).srt |
9.88KB |
| 10. Numpy Assignment Solution.mp4 |
130.39MB |
| 10. Numpy Assignment Solution.srt |
22.67KB |
| 10. Visualization Assignment 1.mp4 |
28.25MB |
| 10. Visualization Assignment 1.srt |
5.34KB |
| 11 |
505.65KB |
| 11.1 assignment1_1.py |
985B |
| 11.1 sales_data.xlsx |
1.33MB |
| 11.1 sumif_countif.py |
922B |
| 11. Assignment Solution - SUMIF(s) and COUNTIF(s).mp4 |
72.61MB |
| 11. Assignment Solution - SUMIF(s) and COUNTIF(s).srt |
11.17KB |
| 11. Pandas Assignment.mp4 |
37.86MB |
| 11. Pandas Assignment.srt |
3.07KB |
| 11. Visualization Assignment 1 Solution - I.mp4 |
114.40MB |
| 11. Visualization Assignment 1 Solution - I.srt |
16.26KB |
| 12 |
451.32KB |
| 12.1 assignment1_2.py |
1.33KB |
| 12.1 pd_assignment.py |
868B |
| 12. Pandas Assignment Solution.mp4 |
142.17MB |
| 12. Pandas Assignment Solution.srt |
18.85KB |
| 12. Visualization Assignment 1 Solution - II.mp4 |
184.76MB |
| 12. Visualization Assignment 1 Solution - II.srt |
23.25KB |
| 13 |
667.08KB |
| 13. Visualization Assignment 2.mp4 |
8.44MB |
| 13. Visualization Assignment 2.srt |
2.21KB |
| 14 |
925.38KB |
| 14.1 assignment2.py |
1.42KB |
| 14. Visualization Assignment 2 Solution.mp4 |
147.64MB |
| 14. Visualization Assignment 2 Solution.srt |
21.87KB |
| 15 |
38.12KB |
| 16 |
408.90KB |
| 17 |
635.87KB |
| 18 |
413.94KB |
| 19 |
442.54KB |
| 2 |
467.55KB |
| 2.1 np_1d_array.py |
655B |
| 2.1 os_intro.py |
633B |
| 2.1 pd_series.py |
751B |
| 2.1 vlookup_fn.py |
1.05KB |
| 2. Course Objectives & Prerequisites.mp4 |
26.41MB |
| 2. Course Objectives & Prerequisites.srt |
8.27KB |
| 2. Numpy 1d Arrays.mp4 |
68.02MB |
| 2. Numpy 1d Arrays.srt |
13.19KB |
| 2. Pandas Series.mp4 |
60.17MB |
| 2. Pandas Series.srt |
10.60KB |
| 2. Python OS Library.mp4 |
54.28MB |
| 2. Python OS Library.srt |
11.26KB |
| 2. Python Visualization Intro.mp4 |
25.20MB |
| 2. Python Visualization Intro.srt |
7.12KB |
| 2. Vlookup - II.mp4 |
64.99MB |
| 2. Vlookup - II.srt |
10.80KB |
| 20 |
783.10KB |
| 21 |
143.81KB |
| 22 |
180.97KB |
| 23 |
736.37KB |
| 24 |
168.33KB |
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177.76KB |
| 26 |
397.38KB |
| 27 |
464.47KB |
| 28 |
672.39KB |
| 29 |
1008.41KB |
| 3 |
246.71KB |
| 3.1 df_plot.py |
955B |
| 3.1 file_handling.py |
1.16KB |
| 3.1 flight_data.csv |
29.34MB |
| 3.1 np_2d3d_array.py |
788B |
| 3.2 pd_df_intro.py |
935B |
| 3. Anaconda Distribution Introduction.mp4 |
56.75MB |
| 3. Anaconda Distribution Introduction.srt |
12.11KB |
| 3. File Handling using Python.mp4 |
70.34MB |
| 3. File Handling using Python.srt |
11.44KB |
| 3. Higher Dimensional Arrays.mp4 |
66.36MB |
| 3. Higher Dimensional Arrays.srt |
11.35KB |
| 3. Pandas Dataframe.mp4 |
114.85MB |
| 3. Pandas Dataframe.srt |
21.38KB |
| 3. Pandas Visualization.mp4 |
75.83MB |
| 3. Pandas Visualization.srt |
12.96KB |
| 3. Pivot Table - I.mp4 |
41.04MB |
| 3. Pivot Table - I.srt |
4.56KB |
| 30 |
983.42KB |
| 31 |
657.16KB |
| 32 |
8.77KB |
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323.75KB |
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847.72KB |
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312.05KB |
| 36 |
259.90KB |
| 37 |
737.88KB |
| 38 |
875.18KB |
| 39 |
799.68KB |
| 4 |
373.06KB |
| 4.1 data.xlsx |
2.11MB |
| 4.1 glob_intro.py |
562B |
| 4.1 np_operations.py |
1.02KB |
| 4.1 pivot_tbl.py |
1.13KB |
| 4.2 pd_df_impexp.py |
954B |
| 4. Creating Virtual Environment (Optional).mp4 |
80.82MB |
| 4. Creating Virtual Environment (Optional).srt |
12.78KB |
| 4. ImportingExporting Data from Excel Spreadsheet.mp4 |
209.26MB |
| 4. ImportingExporting Data from Excel Spreadsheet.srt |
30.40KB |
| 4. Matplotlib Object Oriented Interface.mp4 |
21.69MB |
| 4. Matplotlib Object Oriented Interface.srt |
4.69KB |
| 4. Numpy Operations.mp4 |
111.35MB |
| 4. Numpy Operations.srt |
20.94KB |
| 4. Pivot Table - II.mp4 |
98.60MB |
| 4. Pivot Table - II.srt |
13.02KB |
| 4. Python Glob Library and Handling Filenames.mp4 |
34.54MB |
| 4. Python Glob Library and Handling Filenames.srt |
6.30KB |
| 40 |
98.06KB |
| 41 |
1000.41KB |
| 42 |
983.37KB |
| 43 |
696.59KB |
| 44 |
146.54KB |
| 45 |
475.10KB |
| 46 |
680.58KB |
| 47 |
674.82KB |
| 48 |
766.04KB |
| 49 |
604.74KB |
| 5 |
944.34KB |
| 5.1 np_indexing.py |
1.03KB |
| 5.1 pd_df_dtype.py |
816B |
| 5.1 pivot_tbl_pd.py |
1.41KB |
| 5.1 plt_oo_1.py |
625B |
| 5. Assignment - Organize Your Files Using Python.mp4 |
13.98MB |
| 5. Assignment - Organize Your Files Using Python.srt |
1.98KB |
| 5. Handling PythonDataframe Data Types.mp4 |
107.96MB |
| 5. Handling PythonDataframe Data Types.srt |
15.89KB |
| 5. Hands on With Matplotlib OO Interface - I.mp4 |
113.51MB |
| 5. Hands on With Matplotlib OO Interface - I.srt |
22.36KB |
| 5. Indexing and Slicing.mp4 |
88.24MB |
| 5. Indexing and Slicing.srt |
17.58KB |
| 5. Pivot Table - III.mp4 |
54.15MB |
| 5. Pivot Table - III.srt |
6.51KB |
| 50 |
818.75KB |
| 51 |
319.43KB |
| 52 |
22.77KB |
| 53 |
570.54KB |
| 54 |
917.85KB |
| 55 |
204.90KB |
| 56 |
914.42KB |
| 6 |
845.50KB |
| 6.1 assignment1.py |
515B |
| 6.1 pd_df_nan.py |
629B |
| 6.1 plt_oo_2.py |
631B |
| 6. Assignment Solution - Organizing Files.mp4 |
77.84MB |
| 6. Assignment Solution - Organizing Files.srt |
14.70KB |
| 6. Handling NaN Values.mp4 |
119.21MB |
| 6. Handling NaN Values.srt |
18.83KB |
| 6. Hands on With Matplotlib OO Interface - II.mp4 |
70.55MB |
| 6. Hands on With Matplotlib OO Interface - II.srt |
13.25KB |
| 6. IF Function - I.mp4 |
58.70MB |
| 6. IF Function - I.srt |
5.48KB |
| 7 |
624.83KB |
| 7.1 if_fn.py |
647B |
| 7.1 pd_df_combine.py |
1.03KB |
| 7.1 plt_oo_3.py |
1.28KB |
| 7. Assignment - Consolidate Numerous Files from Various Locations.mp4 |
5.10MB |
| 7. Assignment - Consolidate Numerous Files from Various Locations.srt |
1.31KB |
| 7. Combining DataFrames (Concatenate, Merge & Join).mp4 |
201.12MB |
| 7. Combining DataFrames (Concatenate, Merge & Join).srt |
30.93KB |
| 7. Hands on With Matplotlib OO Interface - III.mp4 |
102.38MB |
| 7. Hands on With Matplotlib OO Interface - III.srt |
14.90KB |
| 7. IF Function - II.mp4 |
39.32MB |
| 7. IF Function - II.srt |
6.50KB |
| 8 |
810.57KB |
| 8.1 assignment2.py |
582B |
| 8.1 df_plot_oo_1.py |
811B |
| 8.1 pd_groupby.py |
646B |
| 8. Assignment Solution - Consolidating files.mp4 |
51.22MB |
| 8. Assignment Solution - Consolidating files.srt |
8.73KB |
| 8. Combining Pandas Visualization with OO Capabilities - I.mp4 |
97.57MB |
| 8. Combining Pandas Visualization with OO Capabilities - I.srt |
15.91KB |
| 8. Data AggregationSummarization using Groupby.mp4 |
111.10MB |
| 8. Data AggregationSummarization using Groupby.srt |
15.91KB |
| 8. Text Manipulation in Excel.mp4 |
112.56MB |
| 8. Text Manipulation in Excel.srt |
9.74KB |
| 9 |
151.08KB |
| 9.1 commute.xlsx |
14.50KB |
| 9.1 df_plot_oo_2.py |
1.14KB |
| 9.1 string_fn.py |
896B |
| 9. Combining Pandas Visualization with OO Capabilities - II.mp4 |
145.08MB |
| 9. Combining Pandas Visualization with OO Capabilities - II.srt |
21.10KB |
| 9. Numpy Assignment.mp4 |
28.34MB |
| 9. Numpy Assignment.srt |
4.56KB |
| 9. String Manipulation in Python.mp4 |
67.04MB |
| 9. String Manipulation in Python.srt |
11.28KB |
| TutsNode.com.txt |
63B |