0. Websites you may like/[CourseClub.Me].url
122B
0. Websites you may like/[GigaCourse.Com].url
49B
1. Introduction/1. Course Structure.mp4
14.06MB
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1. Introduction/1. Course Structure.srt
1.79KB
1. Introduction/2. Pandas Is Not Single.mp4
17.81MB
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1. Introduction/2. Pandas Is Not Single.srt
2.46KB
1. Introduction/3. Anaconda.mp4
20.71MB
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1. Introduction/3. Anaconda.srt
3.8KB
1. Introduction/4. Jupyter Notebooks.mp4
48.02MB
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1. Introduction/4. Jupyter Notebooks.srt
14KB
1. Introduction/5. Cloud vs Local.mp4
26.53MB
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1. Introduction/5. Cloud vs Local.srt
7KB
1. Introduction/6. Hello, Python.mp4
32.79MB
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1. Introduction/6. Hello, Python.srt
5.25KB
1. Introduction/7. NumPy.mp4
62.19MB
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1. Introduction/7. NumPy.srt
14.34KB
10. Handling Date And Time/1. Section Intro.mp4
22.33MB
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10. Handling Date And Time/1. Section Intro.srt
1.58KB
10. Handling Date And Time/10. A Cool Shorcut read_csv() With parse_dates.mp4
17.61MB
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10. Handling Date And Time/10. A Cool Shorcut read_csv() With parse_dates.srt
4.68KB
10. Handling Date And Time/11. Indexing Dates.mp4
26.63MB
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10. Handling Date And Time/11. Indexing Dates.srt
5.6KB
10. Handling Date And Time/12. Skill Challenge.mp4
3.79MB
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10. Handling Date And Time/12. Skill Challenge.srt
1.3KB
10. Handling Date And Time/13. Solution.mp4
17.1MB
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10. Handling Date And Time/13. Solution.srt
3.94KB
10. Handling Date And Time/14. DateTimeIndex Attribute Accessors.mp4
38.15MB
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10. Handling Date And Time/14. DateTimeIndex Attribute Accessors.srt
9.14KB
10. Handling Date And Time/15. Creating Date Ranges.mp4
36.53MB
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10. Handling Date And Time/15. Creating Date Ranges.srt
6.86KB
10. Handling Date And Time/16. Shifting Dates With pd.DateOffset.mp4
36.22MB
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10. Handling Date And Time/16. Shifting Dates With pd.DateOffset.srt
8.29KB
10. Handling Date And Time/17. BONUS Timedeltas And Absolute Time.mp4
28.36MB
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10. Handling Date And Time/17. BONUS Timedeltas And Absolute Time.srt
7.23KB
10. Handling Date And Time/18. Resampling Timeseries.mp4
38.53MB
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10. Handling Date And Time/18. Resampling Timeseries.srt
9.39KB
10. Handling Date And Time/19. Upsampling And Interpolation.mp4
49.4MB
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10. Handling Date And Time/19. Upsampling And Interpolation.srt
11.11KB
10. Handling Date And Time/2. The Python datetime Module.mp4
40.29MB
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10. Handling Date And Time/2. The Python datetime Module.srt
12.54KB
10. Handling Date And Time/20. What About asfreq().mp4
36.61MB
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10. Handling Date And Time/20. What About asfreq().srt
10.92KB
10. Handling Date And Time/21. BONUS Rolling Windows.mp4
43.49MB
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10. Handling Date And Time/21. BONUS Rolling Windows.srt
13.17KB
10. Handling Date And Time/22. Skill Challenge.mp4
4.65MB
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10. Handling Date And Time/22. Skill Challenge.srt
1.72KB
10. Handling Date And Time/23. Solution.mp4
22.9MB
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10. Handling Date And Time/23. Solution.srt
6.73KB
10. Handling Date And Time/3. Parsing Dates From Text.mp4
52.82MB
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11.63KB
10. Handling Date And Time/4. Even Better dateutil.mp4
23.85MB
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10. Handling Date And Time/4. Even Better dateutil.srt
5.21KB
10. Handling Date And Time/5. From Datetime To String.mp4
22.37MB
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5.93KB
10. Handling Date And Time/6. Performant Datetimes With Numpy.mp4
35.33MB
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10.3KB
10. Handling Date And Time/7. The Pandas Timestamp.mp4
24.04MB
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10. Handling Date And Time/7. The Pandas Timestamp.srt
6.15KB
10. Handling Date And Time/8. Our Dataset Brent Prices.mp4
29.43MB
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10. Handling Date And Time/8. Our Dataset Brent Prices.srt
5.66KB
10. Handling Date And Time/9. Date Parsing And DatetimeIndex.mp4
24.53MB
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10. Handling Date And Time/9. Date Parsing And DatetimeIndex.srt
6.37KB
11. Regex And Text Manipulation/1. Section Intro.mp4
16.68MB
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11. Regex And Text Manipulation/1. Section Intro.srt
2.28KB
11. Regex And Text Manipulation/10. Skill Challenge.mp4
3.23MB
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11. Regex And Text Manipulation/10. Skill Challenge.srt
1.34KB
11. Regex And Text Manipulation/11. Solution.mp4
21.97MB
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11. Regex And Text Manipulation/11. Solution.srt
4.9KB
11. Regex And Text Manipulation/12. Slicing Substrings.mp4
24.19MB
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11. Regex And Text Manipulation/12. Slicing Substrings.srt
7KB
11. Regex And Text Manipulation/13. Masking With String Methods.mp4
36.91MB
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11. Regex And Text Manipulation/13. Masking With String Methods.srt
8.23KB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4
66.3MB
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74.01MB
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13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.srt
18.51KB
13. Data Formats And IO/6. BONUS Introduction To Pickling.mp4
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13. Data Formats And IO/7. Pickles In Pandas.mp4
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13. Data Formats And IO/8. The Many Other Formats.mp4
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13. Data Formats And IO/9. Skill Challenge.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/1. Section Intro.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/10. Lists vs. Strings.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/11. List Methods And Functions.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/12. Containers II Tuples.mp4
20.03MB
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5.66KB
14. Appendix A - Rapid-Fire Python Fundamentals/13. Containers III Sets.mp4
52.97MB
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14. Appendix A - Rapid-Fire Python Fundamentals/14. Containers IV Dictionaries.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/14. Containers IV Dictionaries.srt
6.67KB
14. Appendix A - Rapid-Fire Python Fundamentals/15. Dictionary Keys And Values.mp4
36.32MB
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14. Appendix A - Rapid-Fire Python Fundamentals/15. Dictionary Keys And Values.srt
10.58KB
14. Appendix A - Rapid-Fire Python Fundamentals/16. Membership Operators.mp4
19.28MB
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14. Appendix A - Rapid-Fire Python Fundamentals/16. Membership Operators.srt
5.04KB
14. Appendix A - Rapid-Fire Python Fundamentals/17. Controlling Flow if, else, And elif.mp4
41.66MB
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14. Appendix A - Rapid-Fire Python Fundamentals/17. Controlling Flow if, else, And elif.srt
10.8KB
14. Appendix A - Rapid-Fire Python Fundamentals/18. Truth Value Of Non-booleans.mp4
15.92MB
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14. Appendix A - Rapid-Fire Python Fundamentals/18. Truth Value Of Non-booleans.srt
4.4KB
14. Appendix A - Rapid-Fire Python Fundamentals/19. For Loops.mp4
20.57MB
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14. Appendix A - Rapid-Fire Python Fundamentals/19. For Loops.srt
6.75KB
14. Appendix A - Rapid-Fire Python Fundamentals/2. Data Types.mp4
10.16MB
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14. Appendix A - Rapid-Fire Python Fundamentals/2. Data Types.srt
2.97KB
14. Appendix A - Rapid-Fire Python Fundamentals/20. The range() Immutable Sequence.mp4
23.72MB
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14. Appendix A - Rapid-Fire Python Fundamentals/20. The range() Immutable Sequence.srt
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14. Appendix A - Rapid-Fire Python Fundamentals/21. While Loops.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/22. Break And Continue.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/23. Zipping Iterables.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/24. List Comprehensions.mp4
31.78MB
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14. Appendix A - Rapid-Fire Python Fundamentals/25. Defining Functions.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/26. Function Arguments Positional vs Keyword.mp4
30.44MB
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8.89KB
14. Appendix A - Rapid-Fire Python Fundamentals/27. Lambdas.mp4
23.21MB
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14. Appendix A - Rapid-Fire Python Fundamentals/27. Lambdas.srt
6.91KB
14. Appendix A - Rapid-Fire Python Fundamentals/28. Importing Modules.mp4
34.15MB
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7.12KB
14. Appendix A - Rapid-Fire Python Fundamentals/3. Variables.mp4
39.13MB
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14. Appendix A - Rapid-Fire Python Fundamentals/3. Variables.srt
11.14KB
14. Appendix A - Rapid-Fire Python Fundamentals/4. Arithmetic And Augmented Assignment Operators.mp4
27.46MB
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14. Appendix A - Rapid-Fire Python Fundamentals/4. Arithmetic And Augmented Assignment Operators.srt
8.54KB
14. Appendix A - Rapid-Fire Python Fundamentals/5. Ints And Floats.mp4
42.8MB
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11.38KB
14. Appendix A - Rapid-Fire Python Fundamentals/6. Booleans And Comparison Operators.mp4
21.88MB
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14. Appendix A - Rapid-Fire Python Fundamentals/6. Booleans And Comparison Operators.srt
6.34KB
14. Appendix A - Rapid-Fire Python Fundamentals/7. Strings.mp4
32.13MB
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14. Appendix A - Rapid-Fire Python Fundamentals/7. Strings.srt
10.25KB
14. Appendix A - Rapid-Fire Python Fundamentals/8. Methods.mp4
25.33MB
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14. Appendix A - Rapid-Fire Python Fundamentals/8. Methods.srt
8.42KB
14. Appendix A - Rapid-Fire Python Fundamentals/9. Containers I Lists.mp4
29.49MB
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14. Appendix A - Rapid-Fire Python Fundamentals/9. Containers I Lists.srt
7.82KB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4
71.34MB
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15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.srt
7.62KB
15. Appendix B - Going Local Installation And Setup/2. Installing Anaconda And Python - Mac.mp4
17.14MB
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15. Appendix B - Going Local Installation And Setup/2. Installing Anaconda And Python - Mac.srt
2.56KB
15. Appendix B - Going Local Installation And Setup/3. Installing Anaconda And Python - Linux.mp4
30.95MB
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15. Appendix B - Going Local Installation And Setup/3. Installing Anaconda And Python - Linux.srt
4.49KB
2. Series At A Glance/1. Section Intro.mp4
6.93MB
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2. Series At A Glance/10. Solution.mp4
22.9MB
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2. Series At A Glance/11. Another Solution.mp4
11.24MB
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3.62KB
2. Series At A Glance/12. The head() And tail() Methods.mp4
22.98MB
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2. Series At A Glance/13. Extracting By Index Position.mp4
29.06MB
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8.63KB
2. Series At A Glance/14. Accessing Elements By Label.mp4
27.06MB
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2. Series At A Glance/15. BONUS The add_prefix() And add_suffix() Methods.mp4
16.49MB
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2. Series At A Glance/15. BONUS The add_prefix() And add_suffix() Methods.srt
4KB
2. Series At A Glance/16. Using Dot Notation.mp4
13.25MB
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4.51KB
2. Series At A Glance/17. Boolean Masks And The .loc Indexer.mp4
29.47MB
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10.21KB
2. Series At A Glance/18. Extracting By Position With .iloc.mp4
11.61MB
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4.35KB
2. Series At A Glance/19. BONUS Using Callables With .loc And .iloc.mp4
37.14MB
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10.69KB
2. Series At A Glance/2. What Is A Series.mp4
12.54MB
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2. Series At A Glance/2. What Is A Series.srt
4.8KB
2. Series At A Glance/20. Selecting With .get().mp4
30.55MB
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2. Series At A Glance/20. Selecting With .get().srt
5.67KB
2. Series At A Glance/21. Selection Recap.mp4
28.19MB
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2. Series At A Glance/21. Selection Recap.srt
6.54KB
2. Series At A Glance/22. Skill Challenge.mp4
6.38MB
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2. Series At A Glance/22. Skill Challenge.srt
2.32KB
2. Series At A Glance/23. Solution.mp4
23.39MB
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6.51KB
2. Series At A Glance/3. Parameters vs Arguments.mp4
8.07MB
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3.28KB
2. Series At A Glance/4. What’s In The Data.mp4
20.41MB
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6.77KB
2. Series At A Glance/5. The .dtype Attribute.mp4
6.37MB
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2.54KB
2. Series At A Glance/6. BONUS What Is dtype('o'), Really.mp4
10.1MB
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3.97KB
2. Series At A Glance/7. Index And RangeIndex.mp4
33.16MB
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8.49KB
2. Series At A Glance/8. Series And Index Names.mp4
19.12MB
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6.23KB
2. Series At A Glance/9. Skill Challenge.mp4
7.71MB
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2.8KB
3. Series Methods And Handling/1. Section Intro.mp4
12.93MB
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2.36KB
3. Series Methods And Handling/10. Skill Challenge.mp4
4.05MB
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1.48KB
3. Series Methods And Handling/11. Solution.mp4
13.45MB
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3.68KB
3. Series Methods And Handling/12. Dropping And Filling NAs.mp4
21.52MB
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5.14KB
3. Series Methods And Handling/13. Descriptive Statistics.mp4
33.67MB
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9.21KB
3. Series Methods And Handling/14. The describe() Method.mp4
9.7MB
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2.53KB
3. Series Methods And Handling/15. mode() And value_counts().mp4
31.73MB
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8.13KB
3. Series Methods And Handling/16. idxmax() And idxmin().mp4
22MB
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6.46KB
3. Series Methods And Handling/17. Sorting With sort_values().mp4
19.63MB
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5.66KB
3. Series Methods And Handling/18. nlargest() And nsmallest().mp4
12.17MB
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3.26KB
3. Series Methods And Handling/19. Sorting With sort_index().mp4
15.3MB
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4.01KB
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52.81MB
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10.26KB
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2.49KB
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40.2MB
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9.1KB
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17.94MB
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3. Series Methods And Handling/25. Pairwise Differences With diff().mp4
12.79MB
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3. Series Methods And Handling/26. Series Iteration.mp4
16.07MB
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4.69KB
3. Series Methods And Handling/27. Filtering filter(), where(), And mask().mp4
55.05MB
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13.3KB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4
69.92MB
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14.6KB
3. Series Methods And Handling/29. Skill Challenge.mp4
10.2MB
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3. Series Methods And Handling/3. Series Sizing With .size, .shape, And len().mp4
23.26MB
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5.44KB
3. Series Methods And Handling/30. Solution I - Reading Data.mp4
14.55MB
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3. Series Methods And Handling/31. Solution II - Mean, Median, And Standard Deviation.mp4
20.47MB
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3. Series Methods And Handling/32. Solution III - Z-scores.mp4
48.2MB
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9.62KB
3. Series Methods And Handling/4. Unique Values And Series Monotonicity.mp4
17.8MB
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6.17KB
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6.03MB
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2.82KB
3. Series Methods And Handling/6. Accessing And Counting NAs.mp4
36.79MB
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3. Series Methods And Handling/7. BONUS Another Approach.mp4
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3. Series Methods And Handling/9. BONUS Booleans Are Literally Numbers In Python.mp4
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4. Working With DataFrames/12. Changing The Index.mp4
50.38MB
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4. Working With DataFrames/13. Extracting From DataFrames By Label.mp4
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9.66KB
4. Working With DataFrames/15. Single Value Access With .at And .iat.mp4
26.34MB
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5.82KB
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4. Working With DataFrames/17. Skill Challenge.mp4
4.1MB
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4. Working With DataFrames/18. Solution.mp4
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4. Working With DataFrames/19. More Cleanup Going Numeric.mp4
18.63MB
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4. Working With DataFrames/2. What Is A DataFrame.mp4
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4. Working With DataFrames/20. The astype() Method.mp4
25.17MB
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7.27KB
4. Working With DataFrames/21. DataFrame replace() + A Glimpse At Regex.mp4
44.28MB
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12.88KB
4. Working With DataFrames/22. Part I Collecting The Units.mp4
66.82MB
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15.45KB
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27.59MB
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8.87KB
4. Working With DataFrames/24. DataFrame dropna().mp4
40.08MB
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11.93KB
4. Working With DataFrames/25. BONUS - dropna() With Subset.mp4
29.26MB
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9.04KB
4. Working With DataFrames/26. Part II Merging Units With Column Names.mp4
57.28MB
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12.95KB
4. Working With DataFrames/27. Part III Removing Units From Values.mp4
35.62MB
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7.35KB
4. Working With DataFrames/28. Filtering in 2D.mp4
42.35MB
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10.45KB
4. Working With DataFrames/29. DataFrame Sorting.mp4
49.42MB
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8.74KB
4. Working With DataFrames/3. Creating A DataFrame.mp4
22.42MB
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5.49KB
4. Working With DataFrames/30. Using Series between() With DataFrames.mp4
34.97MB
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6.96KB
4. Working With DataFrames/31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4
62.98MB
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10.48KB
4. Working With DataFrames/32. DataFrame nlargest() And nsmallest().mp4
35.36MB
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4. Working With DataFrames/32. DataFrame nlargest() And nsmallest().srt
7.1KB
4. Working With DataFrames/33. Skill Challenge.mp4
4.31MB
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1.71KB
4. Working With DataFrames/34. Solution.mp4
42.25MB
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4. Working With DataFrames/34. Solution.srt
6.53KB
4. Working With DataFrames/35. Another Skill Challenge.mp4
6.79MB
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2.35KB
4. Working With DataFrames/36. Solution.mp4
36.86MB
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4. Working With DataFrames/36. Solution.srt
7.36KB
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5. DataFrames In Depth/17. Skill Challenge.mp4
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5. DataFrames In Depth/19. Identifying Dupes.mp4
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12.92KB
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18.3MB
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4.53KB
5. DataFrames In Depth/20. Removing Duplicates.mp4
29.82MB
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6.64KB
5. DataFrames In Depth/21. Removing DataFrame Rows.mp4
19.78MB
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3.38KB
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3.55KB
5. DataFrames In Depth/23. BONUS - Another Way pop().mp4
19.07MB
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5.25KB
5. DataFrames In Depth/24. BONUS - A Sophisticated Alternative.mp4
33.17MB
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5.91KB
5. DataFrames In Depth/25. Null Values In DataFrames.mp4
42.16MB
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8.23KB
5. DataFrames In Depth/26. Dropping And Filling DataFrame NAs.mp4
49MB
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8.52KB
5. DataFrames In Depth/27. BONUS - Methods And Axes With fillna().mp4
57.38MB
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10.87KB
5. DataFrames In Depth/28. Skill Challenge.mp4
5.3MB
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1.8KB
5. DataFrames In Depth/29. Solution.mp4
42.49MB
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7.98KB
5. DataFrames In Depth/3. Quick Review Indexing With Boolean Masks.mp4
23.33MB
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4.26KB
5. DataFrames In Depth/30. Calculating Aggregates With agg().mp4
37.08MB
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11.36KB
5. DataFrames In Depth/31. Same-shape Transforms.mp4
66.98MB
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18.13KB
5. DataFrames In Depth/32. More Flexibility With apply().mp4
59.38MB
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16.43KB
5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4
68.51MB
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15.95KB
5. DataFrames In Depth/34. Skill Challenge.mp4
8.76MB
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5. DataFrames In Depth/34. Skill Challenge.srt
2.61KB
5. DataFrames In Depth/35. Solution.mp4
26.47MB
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5. DataFrames In Depth/35. Solution.srt
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5. DataFrames In Depth/36. Setting DataFrame Values.mp4
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5. DataFrames In Depth/37. The SettingWithCopy Warning.mp4
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5. DataFrames In Depth/38. View vs Copy.mp4
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5. DataFrames In Depth/40. Adding Rows To DataFrames.mp4
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5. DataFrames In Depth/[CourseClub.Me].url
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6. Working With Multiple DataFrames/11. Solution.mp4
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6. Working With Multiple DataFrames/5. Enforcing Unique Indices.mp4
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6. Working With Multiple DataFrames/8. The append() Method A Special Case Of concat().mp4
14.48MB
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6. Working With Multiple DataFrames/8. The append() Method A Special Case Of concat().srt
3.12KB
6. Working With Multiple DataFrames/9. Concat On Different Columns.mp4
38.21MB
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6. Working With Multiple DataFrames/9. Concat On Different Columns.srt
5.87KB
7. Going MultiDimensional/1. Section Intro.mp4
26.42MB
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7. Going MultiDimensional/1. Section Intro.srt
2.3KB
7. Going MultiDimensional/10. Skill Challenge.mp4
3.78MB
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7. Going MultiDimensional/10. Skill Challenge.srt
1.66KB
7. Going MultiDimensional/11. Solution.mp4
44.8MB
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7. Going MultiDimensional/11. Solution.srt
10.18KB
7. Going MultiDimensional/12. The Anatomy Of A MultiIndex Object.mp4
34.85MB
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7. Going MultiDimensional/12. The Anatomy Of A MultiIndex Object.srt
10.45KB
7. Going MultiDimensional/13. Adding Another Level.mp4
33.59MB
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7. Going MultiDimensional/13. Adding Another Level.srt
6.82KB
7. Going MultiDimensional/14. Shuffling Levels.mp4
24.32MB
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7. Going MultiDimensional/14. Shuffling Levels.srt
5.94KB
7. Going MultiDimensional/15. Removing MultiIndex Levels.mp4
37.7MB
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7. Going MultiDimensional/15. Removing MultiIndex Levels.srt
7.59KB
7. Going MultiDimensional/16. MultiIndex sort_index().mp4
35.62MB
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7. Going MultiDimensional/16. MultiIndex sort_index().srt
7.57KB
7. Going MultiDimensional/17. More MultiIndex Methods.mp4
37.92MB
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7. Going MultiDimensional/17. More MultiIndex Methods.srt
10.13KB
7. Going MultiDimensional/18. Reshaping With stack().mp4
30.57MB
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7. Going MultiDimensional/18. Reshaping With stack().srt
7.07KB
7. Going MultiDimensional/19. The Flipside unstack().mp4
45.95MB
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7. Going MultiDimensional/19. The Flipside unstack().srt
7.71KB
7. Going MultiDimensional/2. Introducing New Data.mp4
22.11MB
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7. Going MultiDimensional/2. Introducing New Data.srt
6.05KB
7. Going MultiDimensional/20. BONUS Creating MultiLevel Columns Manually.mp4
58.73MB
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7. Going MultiDimensional/20. BONUS Creating MultiLevel Columns Manually.srt
12.74KB
7. Going MultiDimensional/21. An Easier Way transpose().mp4
18.6MB
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7. Going MultiDimensional/21. An Easier Way transpose().srt
3.23KB
7. Going MultiDimensional/22. BONUS - What About Panels.mp4
27.89MB
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7. Going MultiDimensional/22. BONUS - What About Panels.srt
3.98KB
7. Going MultiDimensional/23. Skill Challenge.mp4
8.01MB
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7. Going MultiDimensional/23. Skill Challenge.srt
1.9KB
7. Going MultiDimensional/24. Solution.mp4
49.18MB
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7. Going MultiDimensional/24. Solution.srt
10.06KB
7. Going MultiDimensional/3. Index And RangeIndex.mp4
26.87MB
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7. Going MultiDimensional/3. Index And RangeIndex.srt
5.09KB
7. Going MultiDimensional/4. Creating A MultiIndex.mp4
20.15MB
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7. Going MultiDimensional/4. Creating A MultiIndex.srt
4.62KB
7. Going MultiDimensional/5. MultiIndex From read_csv().mp4
27.7MB
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7. Going MultiDimensional/5. MultiIndex From read_csv().srt
4.83KB
7. Going MultiDimensional/6. Indexing Hierarchical DataFrames.mp4
39.39MB
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7. Going MultiDimensional/6. Indexing Hierarchical DataFrames.srt
10.21KB
7. Going MultiDimensional/7. Indexing Ranges And Slices.mp4
59.11MB
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7. Going MultiDimensional/7. Indexing Ranges And Slices.srt
14.87KB
7. Going MultiDimensional/8. BONUS - Use With pd.IndexSlice!.mp4
16.97MB
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7. Going MultiDimensional/8. BONUS - Use With pd.IndexSlice!.srt
4.88KB
7. Going MultiDimensional/9. Cross Sections With xs().mp4
33.15MB
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7. Going MultiDimensional/9. Cross Sections With xs().srt
6.88KB
8. GroupBy And Aggregates/1. Section Intro.mp4
17.09MB
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8. GroupBy And Aggregates/1. Section Intro.srt
1.47KB
8. GroupBy And Aggregates/10. Skill Challenge.mp4
3.22MB
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8. GroupBy And Aggregates/10. Skill Challenge.srt
1.17KB
8. GroupBy And Aggregates/11. Solution.mp4
27.59MB
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8. GroupBy And Aggregates/11. Solution.srt
6.25KB
8. GroupBy And Aggregates/12. Iterating Through Groups.mp4
21.03MB
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8. GroupBy And Aggregates/12. Iterating Through Groups.srt
4.1KB
8. GroupBy And Aggregates/13. Handpicking Subgroups.mp4
23.65MB
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8. GroupBy And Aggregates/13. Handpicking Subgroups.srt
5.4KB
8. GroupBy And Aggregates/14. MultiIndex Grouping.mp4
26.54MB
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8. GroupBy And Aggregates/14. MultiIndex Grouping.srt
6.65KB
8. GroupBy And Aggregates/15. Fine-tuned Aggregates.mp4
44.14MB
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8. GroupBy And Aggregates/15. Fine-tuned Aggregates.srt
10.43KB
8. GroupBy And Aggregates/16. Named Aggregations.mp4
36.49MB
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8. GroupBy And Aggregates/16. Named Aggregations.srt
7.9KB
8. GroupBy And Aggregates/17. The filter() Method.mp4
26.12MB
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8. GroupBy And Aggregates/17. The filter() Method.srt
6.61KB
8. GroupBy And Aggregates/18. GroupBy Transformations.mp4
38.79MB
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8. GroupBy And Aggregates/18. GroupBy Transformations.srt
9.34KB
8. GroupBy And Aggregates/19. BONUS - There's Also apply().mp4
41.18MB
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8. GroupBy And Aggregates/19. BONUS - There's Also apply().srt
8.51KB
8. GroupBy And Aggregates/2. New Data Game Sales.mp4
14.89MB
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3.81KB
8. GroupBy And Aggregates/20. Skill Challenge.mp4
4.05MB
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8. GroupBy And Aggregates/20. Skill Challenge.srt
1.53KB
8. GroupBy And Aggregates/21. Solution.mp4
24.51MB
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6.19KB
8. GroupBy And Aggregates/3. Simple Aggregations Review.mp4
29.02MB
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6.24KB
8. GroupBy And Aggregates/4. Conditional Aggregates.mp4
24.51MB
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6.4KB
8. GroupBy And Aggregates/5. The Split-Apply-Combine Pattern.mp4
22.51MB
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8. GroupBy And Aggregates/5. The Split-Apply-Combine Pattern.srt
5.06KB
8. GroupBy And Aggregates/6. The groupby() Method.mp4
21.56MB
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8. GroupBy And Aggregates/6. The groupby() Method.srt
5.52KB
8. GroupBy And Aggregates/7. The DataFrameGroupBy Object.mp4
19.81MB
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8. GroupBy And Aggregates/7. The DataFrameGroupBy Object.srt
4.43KB
8. GroupBy And Aggregates/8. Customizing Index To Group Mappings.mp4
20.48MB
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8. GroupBy And Aggregates/8. Customizing Index To Group Mappings.srt
4.63KB
8. GroupBy And Aggregates/9. BONUS - Series groupby().mp4
20.8MB
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8. GroupBy And Aggregates/9. BONUS - Series groupby().srt
5.7KB
9. Reshaping With Pivots/1. Section Intro.mp4
23.83MB
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1.54KB
9. Reshaping With Pivots/10. MultiIndex Pivot Tables.mp4
19.05MB
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3.62KB
9. Reshaping With Pivots/11. Applying Multiple Functions.mp4
18.33MB
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4.77KB
9. Reshaping With Pivots/12. Skill Challenge.mp4
5.48MB
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1.6KB
9. Reshaping With Pivots/13. Solution.mp4
36.64MB
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9. Reshaping With Pivots/13. Solution.srt
6.44KB
9. Reshaping With Pivots/2. New Data New York City SAT Scores.mp4
26.77MB
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9. Reshaping With Pivots/2. New Data New York City SAT Scores.srt
5.42KB
9. Reshaping With Pivots/3. Pivoting Data.mp4
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9. Reshaping With Pivots/4. Undoing Pivots.mp4
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