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[GigaCourse.Com] Udemy - The Ultimate Pandas Bootcamp Advanced Python Data Analysis
大小 9.63 GB
文件数 729
Info Hash: A4C382CE4D2F6A9021F234C9B4D72B71747A9F15
收录时间 2026-01-15 08:53:32
更新时间 2026-01-15 08:53:32
文件列表 (729)
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Introduction/1. Course Structure.mp4
14.06 MB
1. Introduction/1. Course Structure.srt
1.79 KB
1. Introduction/2. Pandas Is Not Single.mp4
17.81 MB
1. Introduction/2. Pandas Is Not Single.srt
2.46 KB
1. Introduction/3. Anaconda.mp4
20.71 MB
1. Introduction/3. Anaconda.srt
3.8 KB
1. Introduction/4. Jupyter Notebooks.mp4
48.02 MB
1. Introduction/4. Jupyter Notebooks.srt
14 KB
1. Introduction/5. Cloud vs Local.mp4
26.53 MB
1. Introduction/5. Cloud vs Local.srt
7 KB
1. Introduction/6. Hello, Python.mp4
32.79 MB
1. Introduction/6. Hello, Python.srt
5.25 KB
1. Introduction/7. NumPy.mp4
62.19 MB
1. Introduction/7. NumPy.srt
14.34 KB
10. Handling Date And Time/1. Section Intro.mp4
22.33 MB
10. Handling Date And Time/1. Section Intro.srt
1.58 KB
10. Handling Date And Time/10. A Cool Shorcut read_csv() With parse_dates.mp4
17.61 MB
10. Handling Date And Time/10. A Cool Shorcut read_csv() With parse_dates.srt
4.68 KB
10. Handling Date And Time/11. Indexing Dates.mp4
26.63 MB
10. Handling Date And Time/11. Indexing Dates.srt
5.6 KB
10. Handling Date And Time/12. Skill Challenge.mp4
3.79 MB
10. Handling Date And Time/12. Skill Challenge.srt
1.3 KB
10. Handling Date And Time/13. Solution.mp4
17.1 MB
10. Handling Date And Time/13. Solution.srt
3.94 KB
10. Handling Date And Time/14. DateTimeIndex Attribute Accessors.mp4
38.15 MB
10. Handling Date And Time/14. DateTimeIndex Attribute Accessors.srt
9.14 KB
10. Handling Date And Time/15. Creating Date Ranges.mp4
36.53 MB
10. Handling Date And Time/15. Creating Date Ranges.srt
6.86 KB
10. Handling Date And Time/16. Shifting Dates With pd.DateOffset.mp4
36.22 MB
10. Handling Date And Time/16. Shifting Dates With pd.DateOffset.srt
8.29 KB
10. Handling Date And Time/17. BONUS Timedeltas And Absolute Time.mp4
28.36 MB
10. Handling Date And Time/17. BONUS Timedeltas And Absolute Time.srt
7.23 KB
10. Handling Date And Time/18. Resampling Timeseries.mp4
38.53 MB
10. Handling Date And Time/18. Resampling Timeseries.srt
9.39 KB
10. Handling Date And Time/19. Upsampling And Interpolation.mp4
49.4 MB
10. Handling Date And Time/19. Upsampling And Interpolation.srt
11.11 KB
10. Handling Date And Time/2. The Python datetime Module.mp4
40.29 MB
10. Handling Date And Time/2. The Python datetime Module.srt
12.54 KB
10. Handling Date And Time/20. What About asfreq().mp4
36.61 MB
10. Handling Date And Time/20. What About asfreq().srt
10.92 KB
10. Handling Date And Time/21. BONUS Rolling Windows.mp4
43.49 MB
10. Handling Date And Time/21. BONUS Rolling Windows.srt
13.17 KB
10. Handling Date And Time/22. Skill Challenge.mp4
4.65 MB
10. Handling Date And Time/22. Skill Challenge.srt
1.72 KB
10. Handling Date And Time/23. Solution.mp4
22.9 MB
10. Handling Date And Time/23. Solution.srt
6.73 KB
10. Handling Date And Time/3. Parsing Dates From Text.mp4
52.82 MB
10. Handling Date And Time/3. Parsing Dates From Text.srt
11.63 KB
10. Handling Date And Time/4. Even Better dateutil.mp4
23.85 MB
10. Handling Date And Time/4. Even Better dateutil.srt
5.21 KB
10. Handling Date And Time/5. From Datetime To String.mp4
22.37 MB
10. Handling Date And Time/5. From Datetime To String.srt
5.93 KB
10. Handling Date And Time/6. Performant Datetimes With Numpy.mp4
35.33 MB
10. Handling Date And Time/6. Performant Datetimes With Numpy.srt
10.3 KB
10. Handling Date And Time/7. The Pandas Timestamp.mp4
24.04 MB
10. Handling Date And Time/7. The Pandas Timestamp.srt
6.15 KB
10. Handling Date And Time/8. Our Dataset Brent Prices.mp4
29.43 MB
10. Handling Date And Time/8. Our Dataset Brent Prices.srt
5.66 KB
10. Handling Date And Time/9. Date Parsing And DatetimeIndex.mp4
24.53 MB
10. Handling Date And Time/9. Date Parsing And DatetimeIndex.srt
6.37 KB
11. Regex And Text Manipulation/1. Section Intro.mp4
16.68 MB
11. Regex And Text Manipulation/1. Section Intro.srt
2.28 KB
11. Regex And Text Manipulation/10. Skill Challenge.mp4
3.23 MB
11. Regex And Text Manipulation/10. Skill Challenge.srt
1.34 KB
11. Regex And Text Manipulation/11. Solution.mp4
21.97 MB
11. Regex And Text Manipulation/11. Solution.srt
4.9 KB
11. Regex And Text Manipulation/12. Slicing Substrings.mp4
24.19 MB
11. Regex And Text Manipulation/12. Slicing Substrings.srt
7 KB
11. Regex And Text Manipulation/13. Masking With String Methods.mp4
36.91 MB
11. Regex And Text Manipulation/13. Masking With String Methods.srt
8.23 KB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4
66.3 MB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().srt
12.56 KB
11. Regex And Text Manipulation/15. Text Replacement.mp4
41.78 MB
11. Regex And Text Manipulation/15. Text Replacement.srt
9.06 KB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.mp4
75.02 MB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.srt
16.3 KB
11. Regex And Text Manipulation/17. More Regex Concepts.mp4
65.17 MB
11. Regex And Text Manipulation/17. More Regex Concepts.srt
12.38 KB
11. Regex And Text Manipulation/18. How To Approach Regex.mp4
63.52 MB
11. Regex And Text Manipulation/18. How To Approach Regex.srt
13.26 KB
11. Regex And Text Manipulation/19. Is This A Valid Email.mp4
80.08 MB
11. Regex And Text Manipulation/19. Is This A Valid Email.srt
18.63 KB
11. Regex And Text Manipulation/2. Our Data Boston Marathon Runners.mp4
23.57 MB
11. Regex And Text Manipulation/2. Our Data Boston Marathon Runners.srt
3.72 KB
11. Regex And Text Manipulation/20. BONUS What's The Point Of re.compile().mp4
18.31 MB
11. Regex And Text Manipulation/20. BONUS What's The Point Of re.compile().srt
4.23 KB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp4
76.29 MB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.srt
17.46 KB
11. Regex And Text Manipulation/22. Skill Challenge.mp4
5.42 MB
11. Regex And Text Manipulation/22. Skill Challenge.srt
1.85 KB
11. Regex And Text Manipulation/23. Solution.mp4
72.37 MB
11. Regex And Text Manipulation/23. Solution.srt
14.83 KB
11. Regex And Text Manipulation/3. String Methods In Python.mp4
28.77 MB
11. Regex And Text Manipulation/3. String Methods In Python.srt
8.66 KB
11. Regex And Text Manipulation/4. Vectorized String Operations In Pandas.mp4
18.43 MB
11. Regex And Text Manipulation/4. Vectorized String Operations In Pandas.srt
4.31 KB
11. Regex And Text Manipulation/5. Case Operations.mp4
14.03 MB
11. Regex And Text Manipulation/5. Case Operations.srt
3.64 KB
11. Regex And Text Manipulation/6. Finding Characters And Words.mp4
25.73 MB
11. Regex And Text Manipulation/6. Finding Characters And Words.srt
7.65 KB
11. Regex And Text Manipulation/7. Strips And Whitespace.mp4
31.73 MB
11. Regex And Text Manipulation/7. Strips And Whitespace.srt
8.27 KB
11. Regex And Text Manipulation/8. String Splitting And Concatenation.mp4
46.35 MB
11. Regex And Text Manipulation/8. String Splitting And Concatenation.srt
10.81 KB
11. Regex And Text Manipulation/9. More Split Parameters.mp4
40.08 MB
11. Regex And Text Manipulation/9. More Split Parameters.srt
9.78 KB
12. Visualizing Data/1. Section Intro.mp4
10.33 MB
12. Visualizing Data/1. Section Intro.srt
1.67 KB
12. Visualizing Data/10. BONUS Data Ink And Chartjunk.mp4
32.34 MB
12. Visualizing Data/10. BONUS Data Ink And Chartjunk.srt
3.94 KB
12. Visualizing Data/11. Skill Challenge.mp4
7.52 MB
12. Visualizing Data/11. Skill Challenge.srt
2.04 KB
12. Visualizing Data/12. Solution.mp4
54.25 MB
12. Visualizing Data/12. Solution.srt
9.77 KB
12. Visualizing Data/2. The Art Of Data Visualization.mp4
13.01 MB
12. Visualizing Data/2. The Art Of Data Visualization.srt
3.61 KB
12. Visualizing Data/3. The Preliminaries Of matplotlib.mp4
62.88 MB
12. Visualizing Data/3. The Preliminaries Of matplotlib.srt
14.36 KB
12. Visualizing Data/4. Line Graphs.mp4
54.18 MB
12. Visualizing Data/4. Line Graphs.srt
13.57 KB
12. Visualizing Data/5. Bar Charts.mp4
50.14 MB
12. Visualizing Data/5. Bar Charts.srt
11.91 KB
12. Visualizing Data/6. Pie Plots.mp4
54.89 MB
12. Visualizing Data/6. Pie Plots.srt
12.01 KB
12. Visualizing Data/7. Histograms.mp4
45.78 MB
12. Visualizing Data/7. Histograms.srt
11.43 KB
12. Visualizing Data/8. Scatter Plots.mp4
63.39 MB
12. Visualizing Data/8. Scatter Plots.srt
12.21 KB
12. Visualizing Data/9. Other Visualization Options.mp4
63.65 MB
12. Visualizing Data/9. Other Visualization Options.srt
10.15 KB
12. Visualizing Data/[CourseClub.Me].url
122 B
12. Visualizing Data/[GigaCourse.Com].url
49 B
13. Data Formats And IO/1. Section Intro.mp4
5.21 MB
13. Data Formats And IO/1. Section Intro.srt
1.12 KB
13. Data Formats And IO/10. Solution.mp4
45.82 MB
13. Data Formats And IO/10. Solution.srt
8.75 KB
13. Data Formats And IO/2. Reading JSON.mp4
19.74 MB
13. Data Formats And IO/2. Reading JSON.srt
5.59 KB
13. Data Formats And IO/3. Reading HTML.mp4
103.72 MB
13. Data Formats And IO/3. Reading HTML.srt
16.44 KB
13. Data Formats And IO/4. Reading Excel.mp4
55.72 MB
13. Data Formats And IO/4. Reading Excel.srt
9.81 KB
13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.mp4
74.01 MB
13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.srt
18.51 KB
13. Data Formats And IO/6. BONUS Introduction To Pickling.mp4
31.71 MB
13. Data Formats And IO/6. BONUS Introduction To Pickling.srt
8.01 KB
13. Data Formats And IO/7. Pickles In Pandas.mp4
22.93 MB
13. Data Formats And IO/7. Pickles In Pandas.srt
5.98 KB
13. Data Formats And IO/8. The Many Other Formats.mp4
27.91 MB
13. Data Formats And IO/8. The Many Other Formats.srt
4.82 KB
13. Data Formats And IO/9. Skill Challenge.mp4
11.71 MB
13. Data Formats And IO/9. Skill Challenge.srt
3.5 KB
14. Appendix A - Rapid-Fire Python Fundamentals/1. Section Intro.mp4
8.88 MB
14. Appendix A - Rapid-Fire Python Fundamentals/1. Section Intro.srt
2.3 KB
14. Appendix A - Rapid-Fire Python Fundamentals/10. Lists vs. Strings.mp4
27.56 MB
14. Appendix A - Rapid-Fire Python Fundamentals/10. Lists vs. Strings.srt
8.56 KB
14. Appendix A - Rapid-Fire Python Fundamentals/11. List Methods And Functions.mp4
32.99 MB
14. Appendix A - Rapid-Fire Python Fundamentals/11. List Methods And Functions.srt
10.47 KB
14. Appendix A - Rapid-Fire Python Fundamentals/12. Containers II Tuples.mp4
20.03 MB
14. Appendix A - Rapid-Fire Python Fundamentals/12. Containers II Tuples.srt
5.66 KB
14. Appendix A - Rapid-Fire Python Fundamentals/13. Containers III Sets.mp4
52.97 MB
14. Appendix A - Rapid-Fire Python Fundamentals/13. Containers III Sets.srt
12.21 KB
14. Appendix A - Rapid-Fire Python Fundamentals/14. Containers IV Dictionaries.mp4
22.74 MB
14. Appendix A - Rapid-Fire Python Fundamentals/14. Containers IV Dictionaries.srt
6.67 KB
14. Appendix A - Rapid-Fire Python Fundamentals/15. Dictionary Keys And Values.mp4
36.32 MB
14. Appendix A - Rapid-Fire Python Fundamentals/15. Dictionary Keys And Values.srt
10.58 KB
14. Appendix A - Rapid-Fire Python Fundamentals/16. Membership Operators.mp4
19.28 MB
14. Appendix A - Rapid-Fire Python Fundamentals/16. Membership Operators.srt
5.04 KB
14. Appendix A - Rapid-Fire Python Fundamentals/17. Controlling Flow if, else, And elif.mp4
41.66 MB
14. Appendix A - Rapid-Fire Python Fundamentals/17. Controlling Flow if, else, And elif.srt
10.8 KB
14. Appendix A - Rapid-Fire Python Fundamentals/18. Truth Value Of Non-booleans.mp4
15.92 MB
14. Appendix A - Rapid-Fire Python Fundamentals/18. Truth Value Of Non-booleans.srt
4.4 KB
14. Appendix A - Rapid-Fire Python Fundamentals/19. For Loops.mp4
20.57 MB
14. Appendix A - Rapid-Fire Python Fundamentals/19. For Loops.srt
6.75 KB
14. Appendix A - Rapid-Fire Python Fundamentals/2. Data Types.mp4
10.16 MB
14. Appendix A - Rapid-Fire Python Fundamentals/2. Data Types.srt
2.97 KB
14. Appendix A - Rapid-Fire Python Fundamentals/20. The range() Immutable Sequence.mp4
23.72 MB
14. Appendix A - Rapid-Fire Python Fundamentals/20. The range() Immutable Sequence.srt
6.41 KB
14. Appendix A - Rapid-Fire Python Fundamentals/21. While Loops.mp4
29.23 MB
14. Appendix A - Rapid-Fire Python Fundamentals/21. While Loops.srt
7.87 KB
14. Appendix A - Rapid-Fire Python Fundamentals/22. Break And Continue.mp4
19.14 MB
14. Appendix A - Rapid-Fire Python Fundamentals/22. Break And Continue.srt
5.77 KB
14. Appendix A - Rapid-Fire Python Fundamentals/23. Zipping Iterables.mp4
17.19 MB
14. Appendix A - Rapid-Fire Python Fundamentals/23. Zipping Iterables.srt
4.33 KB
14. Appendix A - Rapid-Fire Python Fundamentals/24. List Comprehensions.mp4
31.78 MB
14. Appendix A - Rapid-Fire Python Fundamentals/24. List Comprehensions.srt
9.81 KB
14. Appendix A - Rapid-Fire Python Fundamentals/25. Defining Functions.mp4
57.77 MB
14. Appendix A - Rapid-Fire Python Fundamentals/25. Defining Functions.srt
13.65 KB
14. Appendix A - Rapid-Fire Python Fundamentals/26. Function Arguments Positional vs Keyword.mp4
30.44 MB
14. Appendix A - Rapid-Fire Python Fundamentals/26. Function Arguments Positional vs Keyword.srt
8.89 KB
14. Appendix A - Rapid-Fire Python Fundamentals/27. Lambdas.mp4
23.21 MB
14. Appendix A - Rapid-Fire Python Fundamentals/27. Lambdas.srt
6.91 KB
14. Appendix A - Rapid-Fire Python Fundamentals/28. Importing Modules.mp4
34.15 MB
14. Appendix A - Rapid-Fire Python Fundamentals/28. Importing Modules.srt
7.12 KB
14. Appendix A - Rapid-Fire Python Fundamentals/3. Variables.mp4
39.13 MB
14. Appendix A - Rapid-Fire Python Fundamentals/3. Variables.srt
11.14 KB
14. Appendix A - Rapid-Fire Python Fundamentals/4. Arithmetic And Augmented Assignment Operators.mp4
27.46 MB
14. Appendix A - Rapid-Fire Python Fundamentals/4. Arithmetic And Augmented Assignment Operators.srt
8.54 KB
14. Appendix A - Rapid-Fire Python Fundamentals/5. Ints And Floats.mp4
42.8 MB
14. Appendix A - Rapid-Fire Python Fundamentals/5. Ints And Floats.srt
11.38 KB
14. Appendix A - Rapid-Fire Python Fundamentals/6. Booleans And Comparison Operators.mp4
21.88 MB
14. Appendix A - Rapid-Fire Python Fundamentals/6. Booleans And Comparison Operators.srt
6.34 KB
14. Appendix A - Rapid-Fire Python Fundamentals/7. Strings.mp4
32.13 MB
14. Appendix A - Rapid-Fire Python Fundamentals/7. Strings.srt
10.25 KB
14. Appendix A - Rapid-Fire Python Fundamentals/8. Methods.mp4
25.33 MB
14. Appendix A - Rapid-Fire Python Fundamentals/8. Methods.srt
8.42 KB
14. Appendix A - Rapid-Fire Python Fundamentals/9. Containers I Lists.mp4
29.49 MB
14. Appendix A - Rapid-Fire Python Fundamentals/9. Containers I Lists.srt
7.82 KB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4
71.34 MB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.srt
7.62 KB
15. Appendix B - Going Local Installation And Setup/2. Installing Anaconda And Python - Mac.mp4
17.14 MB
15. Appendix B - Going Local Installation And Setup/2. Installing Anaconda And Python - Mac.srt
2.56 KB
15. Appendix B - Going Local Installation And Setup/3. Installing Anaconda And Python - Linux.mp4
30.95 MB
15. Appendix B - Going Local Installation And Setup/3. Installing Anaconda And Python - Linux.srt
4.49 KB
2. Series At A Glance/1. Section Intro.mp4
6.93 MB
2. Series At A Glance/1. Section Intro.srt
1.32 KB
2. Series At A Glance/10. Solution.mp4
22.9 MB
2. Series At A Glance/10. Solution.srt
4.75 KB
2. Series At A Glance/11. Another Solution.mp4
11.24 MB
2. Series At A Glance/11. Another Solution.srt
3.62 KB
2. Series At A Glance/12. The head() And tail() Methods.mp4
22.98 MB
2. Series At A Glance/12. The head() And tail() Methods.srt
6.17 KB
2. Series At A Glance/13. Extracting By Index Position.mp4
29.06 MB
2. Series At A Glance/13. Extracting By Index Position.srt
8.63 KB
2. Series At A Glance/14. Accessing Elements By Label.mp4
27.06 MB
2. Series At A Glance/14. Accessing Elements By Label.srt
7.92 KB
2. Series At A Glance/15. BONUS The add_prefix() And add_suffix() Methods.mp4
16.49 MB
2. Series At A Glance/15. BONUS The add_prefix() And add_suffix() Methods.srt
4 KB
2. Series At A Glance/16. Using Dot Notation.mp4
13.25 MB
2. Series At A Glance/16. Using Dot Notation.srt
4.51 KB
2. Series At A Glance/17. Boolean Masks And The .loc Indexer.mp4
29.47 MB
2. Series At A Glance/17. Boolean Masks And The .loc Indexer.srt
10.21 KB
2. Series At A Glance/18. Extracting By Position With .iloc.mp4
11.61 MB
2. Series At A Glance/18. Extracting By Position With .iloc.srt
4.35 KB
2. Series At A Glance/19. BONUS Using Callables With .loc And .iloc.mp4
37.14 MB
2. Series At A Glance/19. BONUS Using Callables With .loc And .iloc.srt
10.69 KB
2. Series At A Glance/2. What Is A Series.mp4
12.54 MB
2. Series At A Glance/2. What Is A Series.srt
4.8 KB
2. Series At A Glance/20. Selecting With .get().mp4
30.55 MB
2. Series At A Glance/20. Selecting With .get().srt
5.67 KB
2. Series At A Glance/21. Selection Recap.mp4
28.19 MB
2. Series At A Glance/21. Selection Recap.srt
6.54 KB
2. Series At A Glance/22. Skill Challenge.mp4
6.38 MB
2. Series At A Glance/22. Skill Challenge.srt
2.32 KB
2. Series At A Glance/23. Solution.mp4
23.39 MB
2. Series At A Glance/23. Solution.srt
6.51 KB
2. Series At A Glance/3. Parameters vs Arguments.mp4
8.07 MB
2. Series At A Glance/3. Parameters vs Arguments.srt
3.28 KB
2. Series At A Glance/4. What’s In The Data.mp4
20.41 MB
2. Series At A Glance/4. What’s In The Data.srt
6.77 KB
2. Series At A Glance/5. The .dtype Attribute.mp4
6.37 MB
2. Series At A Glance/5. The .dtype Attribute.srt
2.54 KB
2. Series At A Glance/6. BONUS What Is dtype('o'), Really.mp4
10.1 MB
2. Series At A Glance/6. BONUS What Is dtype('o'), Really.srt
3.97 KB
2. Series At A Glance/7. Index And RangeIndex.mp4
33.16 MB
2. Series At A Glance/7. Index And RangeIndex.srt
8.49 KB
2. Series At A Glance/8. Series And Index Names.mp4
19.12 MB
2. Series At A Glance/8. Series And Index Names.srt
6.23 KB
2. Series At A Glance/9. Skill Challenge.mp4
7.71 MB
2. Series At A Glance/9. Skill Challenge.srt
2.8 KB
3. Series Methods And Handling/1. Section Intro.mp4
12.93 MB
3. Series Methods And Handling/1. Section Intro.srt
2.36 KB
3. Series Methods And Handling/10. Skill Challenge.mp4
4.05 MB
3. Series Methods And Handling/10. Skill Challenge.srt
1.48 KB
3. Series Methods And Handling/11. Solution.mp4
13.45 MB
3. Series Methods And Handling/11. Solution.srt
3.68 KB
3. Series Methods And Handling/12. Dropping And Filling NAs.mp4
21.52 MB
3. Series Methods And Handling/12. Dropping And Filling NAs.srt
5.14 KB
3. Series Methods And Handling/13. Descriptive Statistics.mp4
33.67 MB
3. Series Methods And Handling/13. Descriptive Statistics.srt
9.21 KB
3. Series Methods And Handling/14. The describe() Method.mp4
9.7 MB
3. Series Methods And Handling/14. The describe() Method.srt
2.53 KB
3. Series Methods And Handling/15. mode() And value_counts().mp4
31.73 MB
3. Series Methods And Handling/15. mode() And value_counts().srt
8.13 KB
3. Series Methods And Handling/16. idxmax() And idxmin().mp4
22 MB
3. Series Methods And Handling/16. idxmax() And idxmin().srt
6.46 KB
3. Series Methods And Handling/17. Sorting With sort_values().mp4
19.63 MB
3. Series Methods And Handling/17. Sorting With sort_values().srt
5.66 KB
3. Series Methods And Handling/18. nlargest() And nsmallest().mp4
12.17 MB
3. Series Methods And Handling/18. nlargest() And nsmallest().srt
3.26 KB
3. Series Methods And Handling/19. Sorting With sort_index().mp4
15.3 MB
3. Series Methods And Handling/19. Sorting With sort_index().srt
4.01 KB
3. Series Methods And Handling/2. Reading In Data With read_csv().mp4
52.81 MB
3. Series Methods And Handling/2. Reading In Data With read_csv().srt
10.26 KB
3. Series Methods And Handling/20. Skill Challenge.mp4
3.18 MB
3. Series Methods And Handling/20. Skill Challenge.srt
1.18 KB
3. Series Methods And Handling/21. Solution.mp4
9.91 MB
3. Series Methods And Handling/21. Solution.srt
2.49 KB
3. Series Methods And Handling/22. Series Arithmetics And fill_value().mp4
40.2 MB
3. Series Methods And Handling/22. Series Arithmetics And fill_value().srt
9.1 KB
3. Series Methods And Handling/23. BONUS Calculating Variance And Standard Deviation.mp4
17.36 MB
3. Series Methods And Handling/23. BONUS Calculating Variance And Standard Deviation.srt
5.2 KB
3. Series Methods And Handling/24. Cumulative Operations.mp4
17.94 MB
3. Series Methods And Handling/24. Cumulative Operations.srt
5.75 KB
3. Series Methods And Handling/25. Pairwise Differences With diff().mp4
12.79 MB
3. Series Methods And Handling/25. Pairwise Differences With diff().srt
4.32 KB
3. Series Methods And Handling/26. Series Iteration.mp4
16.07 MB
3. Series Methods And Handling/26. Series Iteration.srt
4.69 KB
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3. Series Methods And Handling/30. Solution I - Reading Data.mp4
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3. Series Methods And Handling/32. Solution III - Z-scores.mp4
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3. Series Methods And Handling/7. BONUS Another Approach.mp4
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3. Series Methods And Handling/8. The Other Side notnull() And notna().mp4
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3. Series Methods And Handling/8. The Other Side notnull() And notna().srt
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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/10. BONUS - How Are Random Numbers Generated.mp4
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4. Working With DataFrames/20. The astype() Method.mp4
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4. Working With DataFrames/21. DataFrame replace() + A Glimpse At Regex.mp4
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4. Working With DataFrames/22. Part I Collecting The Units.mp4
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4. Working With DataFrames/26. Part II Merging Units With Column Names.mp4
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4. Working With DataFrames/27. Part III Removing Units From Values.mp4
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4. Working With DataFrames/28. Filtering in 2D.mp4
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4. Working With DataFrames/31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4
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4. Working With DataFrames/32. DataFrame nlargest() And nsmallest().mp4
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4. Working With DataFrames/7. Some Cleanup Removing The Duplicated Index.mp4
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4. Working With DataFrames/8. The sample() Method.mp4
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4. Working With DataFrames/9. BONUS - Sampling With Replacement Or Weights.mp4
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5. DataFrames In Depth/15. BONUS - Another Way.mp4
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5. DataFrames In Depth/17. Skill Challenge.mp4
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5. DataFrames In Depth/25. Null Values In DataFrames.mp4
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5. DataFrames In Depth/26. Dropping And Filling DataFrame NAs.mp4
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5. DataFrames In Depth/27. BONUS - Methods And Axes With fillna().mp4
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5. DataFrames In Depth/28. Skill Challenge.mp4
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5. DataFrames In Depth/29. Solution.mp4
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5. DataFrames In Depth/3. Quick Review Indexing With Boolean Masks.mp4
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5. DataFrames In Depth/30. Calculating Aggregates With agg().mp4
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5. DataFrames In Depth/31. Same-shape Transforms.mp4
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5. DataFrames In Depth/32. More Flexibility With apply().mp4
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5. DataFrames In Depth/32. More Flexibility With apply().srt
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5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4
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5. DataFrames In Depth/34. Skill Challenge.mp4
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5. DataFrames In Depth/35. Solution.mp4
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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/39. Adding DataFrame Columns.mp4
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5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4
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5. DataFrames In Depth/40. Adding Rows To DataFrames.mp4
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5. DataFrames In Depth/41. BONUS - How Are DataFrames Stored In Memory.mp4
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5. DataFrames In Depth/42. Skill Challenge.mp4
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5. DataFrames In Depth/43. Solution.mp4
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5. DataFrames In Depth/6. BONUS - XOR and Complement Binary Ops.mp4
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5. DataFrames In Depth/7. Combining Conditions.mp4
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5. DataFrames In Depth/8. Conditions As Variables.mp4
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5. DataFrames In Depth/9. Skill Challenge.mp4
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5. DataFrames In Depth/[CourseClub.Me].url
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5. DataFrames In Depth/[GigaCourse.Com].url
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6. Working With Multiple DataFrames/1. Section Intro.mp4
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6. Working With Multiple DataFrames/10. Skill Challenge.mp4
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6. Working With Multiple DataFrames/10. Skill Challenge.srt
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6. Working With Multiple DataFrames/11. Solution.mp4
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6. Working With Multiple DataFrames/11. Solution.srt
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6. Working With Multiple DataFrames/12. The merge() Method.mp4
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6. Working With Multiple DataFrames/12. The merge() Method.srt
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6. Working With Multiple DataFrames/13. The left_on And right_on Params.mp4
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6. Working With Multiple DataFrames/14. Inner vs Outer Joins.mp4
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6. Working With Multiple DataFrames/15. Left vs Right Joins.mp4
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6. Working With Multiple DataFrames/16. One-to-One and One-to-Many Joins.mp4
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6. Working With Multiple DataFrames/17. Many-to-Many Joins.mp4
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6. Working With Multiple DataFrames/18. Merging By Index.mp4
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6. Working With Multiple DataFrames/19. The join() Method.mp4
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6. Working With Multiple DataFrames/2. Introducing (Five) New Datasets.mp4
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6. Working With Multiple DataFrames/20. Skill Challenge.mp4
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6. Working With Multiple DataFrames/21. Solution.mp4
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6. Working With Multiple DataFrames/3. Concatenating DataFrames.mp4
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6. Working With Multiple DataFrames/4. The Duplicated Index Issue.mp4
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6. Working With Multiple DataFrames/5. Enforcing Unique Indices.mp4
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6. Working With Multiple DataFrames/6. BONUS - Creating Multiple Indices With concat().mp4
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6. Working With Multiple DataFrames/6. BONUS - Creating Multiple Indices With concat().srt
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6. Working With Multiple DataFrames/7. Column Axis Concatenation.mp4
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6. Working With Multiple DataFrames/8. The append() Method A Special Case Of concat().mp4
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6. Working With Multiple DataFrames/9. Concat On Different Columns.mp4
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7. Going MultiDimensional/1. Section Intro.mp4
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7. Going MultiDimensional/10. Skill Challenge.mp4
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7. Going MultiDimensional/11. Solution.mp4
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7. Going MultiDimensional/12. The Anatomy Of A MultiIndex Object.mp4
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7. Going MultiDimensional/13. Adding Another Level.mp4
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7. Going MultiDimensional/14. Shuffling Levels.mp4
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7. Going MultiDimensional/15. Removing MultiIndex Levels.mp4
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7. Going MultiDimensional/16. MultiIndex sort_index().mp4
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7. Going MultiDimensional/19. The Flipside unstack().mp4
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7. Going MultiDimensional/20. BONUS Creating MultiLevel Columns Manually.mp4
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7. Going MultiDimensional/21. An Easier Way transpose().mp4
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7. Going MultiDimensional/23. Skill Challenge.mp4
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7. Going MultiDimensional/24. Solution.mp4
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7. Going MultiDimensional/5. MultiIndex From read_csv().mp4
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7. Going MultiDimensional/6. Indexing Hierarchical DataFrames.mp4
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7. Going MultiDimensional/7. Indexing Ranges And Slices.mp4
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8. GroupBy And Aggregates/10. Skill Challenge.mp4
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8. GroupBy And Aggregates/11. Solution.mp4
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8. GroupBy And Aggregates/15. Fine-tuned Aggregates.mp4
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8. GroupBy And Aggregates/16. Named Aggregations.mp4
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8. GroupBy And Aggregates/18. GroupBy Transformations.mp4
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8. GroupBy And Aggregates/19. BONUS - There's Also apply().mp4
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8. GroupBy And Aggregates/19. BONUS - There's Also apply().srt
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8. GroupBy And Aggregates/2. New Data Game Sales.mp4
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8. GroupBy And Aggregates/20. Skill Challenge.mp4
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8. GroupBy And Aggregates/21. Solution.mp4
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8. GroupBy And Aggregates/5. The Split-Apply-Combine Pattern.srt
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8. GroupBy And Aggregates/6. The groupby() Method.srt
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8. GroupBy And Aggregates/7. The DataFrameGroupBy Object.mp4
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8. GroupBy And Aggregates/8. Customizing Index To Group Mappings.mp4
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9. Reshaping With Pivots/11. Applying Multiple Functions.mp4
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9. Reshaping With Pivots/12. Skill Challenge.mp4
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9. Reshaping With Pivots/13. Solution.mp4
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9. Reshaping With Pivots/2. New Data New York City SAT Scores.mp4
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9. Reshaping With Pivots/3. Pivoting Data.mp4
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9. Reshaping With Pivots/4. Undoing Pivots.mp4
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9. Reshaping With Pivots/5. What About Aggregates.mp4
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9. Reshaping With Pivots/6. The pivot_table().mp4
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9. Reshaping With Pivots/8. Replicating Pivot Tables With GroupBy.mp4
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111.35 KB
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Sources/WhatIsASeries.pdf
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110.92 KB
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105.51 KB
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Sources/games_sales (1).csv
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Sources/ivies.csv
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Sources/liberal_arts.csv
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Sources/mid_career_salaries.csv
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Sources/regions.csv
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Sources/scores.csv
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Sources/state.csv
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Sources/tech_giants.csv
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[CourseClub.Me].url
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[GigaCourse.Com].url
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