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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
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| 1 |
43б |
| 1. Course Structure.mp4 |
14.06Мб |
| 1. Course Structure.srt |
1.79Кб |
| 1. Installing Anaconda And Python - Windows.mp4 |
71.34Мб |
| 1. Installing Anaconda And Python - Windows.srt |
7.62Кб |
| 1. Section Intro.mp4 |
26.42Мб |
| 1. Section Intro.mp4 |
23.83Мб |
| 1. Section Intro.mp4 |
22.33Мб |
| 1. Section Intro.mp4 |
21.13Мб |
| 1. Section Intro.mp4 |
17.09Мб |
| 1. Section Intro.mp4 |
16.68Мб |
| 1. Section Intro.mp4 |
12.93Мб |
| 1. Section Intro.mp4 |
10.81Мб |
| 1. Section Intro.mp4 |
10.33Мб |
| 1. Section Intro.mp4 |
8.88Мб |
| 1. Section Intro.mp4 |
7.95Мб |
| 1. Section Intro.mp4 |
6.93Мб |
| 1. Section Intro.mp4 |
5.21Мб |
| 1. Section Intro.srt |
1.32Кб |
| 1. Section Intro.srt |
2.36Кб |
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2.29Кб |
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1.53Кб |
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2.30Кб |
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1.47Кб |
| 1. Section Intro.srt |
3.06Кб |
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2.30Кб |
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2.28Кб |
| 1. Section Intro.srt |
1.67Кб |
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1.12Кб |
| 10 |
596.81Кб |
| 10. A Cool Shorcut read_csv() With parse_dates.mp4 |
17.61Мб |
| 10. A Cool Shorcut read_csv() With parse_dates.srt |
4.68Кб |
| 10. BONUS Data Ink And Chartjunk.mp4 |
32.34Мб |
| 10. BONUS Data Ink And Chartjunk.srt |
3.94Кб |
| 10. BONUS - How Are Random Numbers Generated.mp4 |
42.94Мб |
| 10. BONUS - How Are Random Numbers Generated.srt |
6.67Кб |
| 10. Lists vs. Strings.mp4 |
27.56Мб |
| 10. Lists vs. Strings.srt |
8.56Кб |
| 10. MultiIndex Pivot Tables.mp4 |
19.05Мб |
| 10. MultiIndex Pivot Tables.srt |
3.62Кб |
| 10. Skill Challenge.mp4 |
5.99Мб |
| 10. Skill Challenge.mp4 |
4.05Мб |
| 10. Skill Challenge.mp4 |
3.78Мб |
| 10. Skill Challenge.mp4 |
3.23Мб |
| 10. Skill Challenge.mp4 |
3.22Мб |
| 10. Skill Challenge.srt |
1.48Кб |
| 10. Skill Challenge.srt |
2.07Кб |
| 10. Skill Challenge.srt |
1.66Кб |
| 10. Skill Challenge.srt |
1.17Кб |
| 10. Skill Challenge.srt |
1.34Кб |
| 10. Solution.mp4 |
45.82Мб |
| 10. Solution.mp4 |
40.04Мб |
| 10. Solution.mp4 |
22.90Мб |
| 10. Solution.srt |
8.75Кб |
| 10. Solution.srt |
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18.31Кб |
| 11. 2d Indexing.mp4 |
40.02Мб |
| 11. 2d Indexing.srt |
11.36Кб |
| 11. Another Solution.mp4 |
11.24Мб |
| 11. Another Solution.srt |
3.62Кб |
| 11. Applying Multiple Functions.mp4 |
18.33Мб |
| 11. Applying Multiple Functions.srt |
4.77Кб |
| 11. DataFrame Axes.mp4 |
23.31Мб |
| 11. DataFrame Axes.srt |
4.99Кб |
| 11. Indexing Dates.mp4 |
26.63Мб |
| 11. Indexing Dates.srt |
5.60Кб |
| 11. List Methods And Functions.mp4 |
32.99Мб |
| 11. List Methods And Functions.srt |
10.47Кб |
| 11. Skill Challenge.mp4 |
7.52Мб |
| 11. Skill Challenge.srt |
2.04Кб |
| 11. Solution.mp4 |
59.47Мб |
| 11. Solution.mp4 |
44.80Мб |
| 11. Solution.mp4 |
27.59Мб |
| 11. Solution.mp4 |
21.97Мб |
| 11. Solution.mp4 |
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| 11. Solution.srt |
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| 11. Solution.srt |
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| 12. Changing The Index.mp4 |
50.38Мб |
| 12. Changing The Index.srt |
8.69Кб |
| 12. Containers II Tuples.mp4 |
20.03Мб |
| 12. Containers II Tuples.srt |
5.66Кб |
| 12. Dropping And Filling NAs.mp4 |
21.52Мб |
| 12. Dropping And Filling NAs.srt |
5.14Кб |
| 12. Fancy Indexing With lookup().mp4 |
46.21Мб |
| 12. Fancy Indexing With lookup().srt |
9.70Кб |
| 12. Iterating Through Groups.mp4 |
21.03Мб |
| 12. Iterating Through Groups.srt |
4.10Кб |
| 12. Skill Challenge.mp4 |
5.48Мб |
| 12. Skill Challenge.mp4 |
3.79Мб |
| 12. Skill Challenge.srt |
1.60Кб |
| 12. Skill Challenge.srt |
1.30Кб |
| 12. Slicing Substrings.mp4 |
24.19Мб |
| 12. Slicing Substrings.srt |
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| 12. Solution.mp4 |
54.25Мб |
| 12. Solution.srt |
9.77Кб |
| 12. The Anatomy Of A MultiIndex Object.mp4 |
34.85Мб |
| 12. The Anatomy Of A MultiIndex Object.srt |
10.45Кб |
| 12. The head() And tail() Methods.mp4 |
22.98Мб |
| 12. The head() And tail() Methods.srt |
6.17Кб |
| 12. The merge() Method.mp4 |
35.38Мб |
| 12. The merge() Method.srt |
6.77Кб |
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717.56Кб |
| 13. Adding Another Level.mp4 |
33.59Мб |
| 13. Adding Another Level.srt |
6.82Кб |
| 13. Containers III Sets.mp4 |
52.97Мб |
| 13. Containers III Sets.srt |
12.21Кб |
| 13. Descriptive Statistics.mp4 |
33.67Мб |
| 13. Descriptive Statistics.srt |
9.21Кб |
| 13. Extracting By Index Position.mp4 |
29.06Мб |
| 13. Extracting By Index Position.srt |
8.63Кб |
| 13. Extracting From DataFrames By Label.mp4 |
36.01Мб |
| 13. Extracting From DataFrames By Label.srt |
8.07Кб |
| 13. Handpicking Subgroups.mp4 |
23.65Мб |
| 13. Handpicking Subgroups.srt |
5.40Кб |
| 13. Masking With String Methods.mp4 |
36.91Мб |
| 13. Masking With String Methods.srt |
8.23Кб |
| 13. Solution.mp4 |
36.64Мб |
| 13. Solution.mp4 |
17.10Мб |
| 13. Solution.srt |
6.44Кб |
| 13. Solution.srt |
3.94Кб |
| 13. Sorting By Index Or Column.mp4 |
45.02Мб |
| 13. Sorting By Index Or Column.srt |
7.59Кб |
| 13. The left_on And right_on Params.mp4 |
32.20Мб |
| 13. The left_on And right_on Params.srt |
5.16Кб |
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215.93Кб |
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| 14 |
775.05Кб |
| 14. Accessing Elements By Label.mp4 |
27.06Мб |
| 14. Accessing Elements By Label.srt |
7.92Кб |
| 14. BONUS Parsing Indicators With get_dummies().mp4 |
66.30Мб |
| 14. BONUS Parsing Indicators With get_dummies().srt |
12.56Кб |
| 14. Containers IV Dictionaries.mp4 |
22.74Мб |
| 14. Containers IV Dictionaries.srt |
6.67Кб |
| 14. DataFrame Extraction by Position.mp4 |
46.71Мб |
| 14. DataFrame Extraction by Position.srt |
9.66Кб |
| 14. DateTimeIndex Attribute Accessors.mp4 |
38.15Мб |
| 14. DateTimeIndex Attribute Accessors.srt |
9.14Кб |
| 14. Inner vs Outer Joins.mp4 |
27.11Мб |
| 14. Inner vs Outer Joins.srt |
6.34Кб |
| 14. MultiIndex Grouping.mp4 |
26.54Мб |
| 14. MultiIndex Grouping.srt |
6.65Кб |
| 14. Shuffling Levels.mp4 |
24.32Мб |
| 14. Shuffling Levels.srt |
5.94Кб |
| 14. Sorting vs. Reordering.mp4 |
65.24Мб |
| 14. Sorting vs. Reordering.srt |
14.48Кб |
| 14. The describe() Method.mp4 |
9.70Мб |
| 14. The describe() Method.srt |
2.53Кб |
| 140 |
442.81Кб |
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| 15 |
854.22Кб |
| 15. BONUS - Another Way.mp4 |
12.95Мб |
| 15. BONUS - Another Way.srt |
2.64Кб |
| 15. BONUS The add_prefix() And add_suffix() Methods.mp4 |
16.49Мб |
| 15. BONUS The add_prefix() And add_suffix() Methods.srt |
4.00Кб |
| 15. Creating Date Ranges.mp4 |
36.53Мб |
| 15. Creating Date Ranges.srt |
6.86Кб |
| 15. Dictionary Keys And Values.mp4 |
36.32Мб |
| 15. Dictionary Keys And Values.srt |
10.58Кб |
| 15. Fine-tuned Aggregates.mp4 |
44.14Мб |
| 15. Fine-tuned Aggregates.srt |
10.43Кб |
| 15. Left vs Right Joins.mp4 |
20.27Мб |
| 15. Left vs Right Joins.srt |
4.40Кб |
| 15. mode() And value_counts().mp4 |
31.73Мб |
| 15. mode() And value_counts().srt |
8.13Кб |
| 15. Removing MultiIndex Levels.mp4 |
37.70Мб |
| 15. Removing MultiIndex Levels.srt |
7.59Кб |
| 15. Single Value Access With .at And .iat.mp4 |
26.34Мб |
| 15. Single Value Access With .at And .iat.srt |
5.82Кб |
| 15. Text Replacement.mp4 |
41.78Мб |
| 15. Text Replacement.srt |
9.06Кб |
| 150 |
1005.57Кб |
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| 16 |
363.21Кб |
| 16. 15. BONUS - Please Avoid Sorting Like This.mp4 |
17.07Мб |
| 16. 15. BONUS - Please Avoid Sorting Like This.srt |
4.33Кб |
| 16. BONUS - The get_loc() Method.mp4 |
25.07Мб |
| 16. BONUS - The get_loc() Method.srt |
7.37Кб |
| 16. idxmax() And idxmin().mp4 |
22.00Мб |
| 16. idxmax() And idxmin().srt |
6.46Кб |
| 16. Introduction To Regular Expressions.mp4 |
75.02Мб |
| 16. Introduction To Regular Expressions.srt |
16.30Кб |
| 16. Membership Operators.mp4 |
19.28Мб |
| 16. Membership Operators.srt |
5.04Кб |
| 16. MultiIndex sort_index().mp4 |
35.62Мб |
| 16. MultiIndex sort_index().srt |
7.57Кб |
| 16. Named Aggregations.mp4 |
36.49Мб |
| 16. Named Aggregations.srt |
7.90Кб |
| 16. One-to-One and One-to-Many Joins.mp4 |
57.01Мб |
| 16. One-to-One and One-to-Many Joins.srt |
10.37Кб |
| 16. Shifting Dates With pd.DateOffset.mp4 |
36.22Мб |
| 16. Shifting Dates With pd.DateOffset.srt |
8.29Кб |
| 16. Using Dot Notation.mp4 |
13.25Мб |
| 16. Using Dot Notation.srt |
4.51Кб |
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| 17 |
486.68Кб |
| 17. BONUS Timedeltas And Absolute Time.mp4 |
28.36Мб |
| 17. BONUS Timedeltas And Absolute Time.srt |
7.23Кб |
| 17. Boolean Masks And The .loc Indexer.mp4 |
29.47Мб |
| 17. Boolean Masks And The .loc Indexer.srt |
10.21Кб |
| 17. Controlling Flow if, else, And elif.mp4 |
41.66Мб |
| 17. Controlling Flow if, else, And elif.srt |
10.80Кб |
| 17. Many-to-Many Joins.mp4 |
55.62Мб |
| 17. Many-to-Many Joins.srt |
9.30Кб |
| 17. More MultiIndex Methods.mp4 |
37.92Мб |
| 17. More MultiIndex Methods.srt |
10.13Кб |
| 17. More Regex Concepts.mp4 |
65.17Мб |
| 17. More Regex Concepts.srt |
12.38Кб |
| 17. Skill Challenge.mp4 |
4.48Мб |
| 17. Skill Challenge.mp4 |
4.10Мб |
| 17. Skill Challenge.srt |
1.71Кб |
| 17. Skill Challenge.srt |
1.46Кб |
| 17. Sorting With sort_values().mp4 |
19.63Мб |
| 17. Sorting With sort_values().srt |
5.66Кб |
| 17. The filter() Method.mp4 |
26.12Мб |
| 17. The filter() Method.srt |
6.61Кб |
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| 18 |
627.62Кб |
| 18. Extracting By Position With .iloc.mp4 |
11.61Мб |
| 18. Extracting By Position With .iloc.srt |
4.35Кб |
| 18. GroupBy Transformations.mp4 |
38.79Мб |
| 18. GroupBy Transformations.srt |
9.34Кб |
| 18. How To Approach Regex.mp4 |
63.52Мб |
| 18. How To Approach Regex.srt |
13.26Кб |
| 18. Merging By Index.mp4 |
38.15Мб |
| 18. Merging By Index.srt |
6.19Кб |
| 18. nlargest() And nsmallest().mp4 |
12.17Мб |
| 18. nlargest() And nsmallest().srt |
3.26Кб |
| 18. Resampling Timeseries.mp4 |
38.53Мб |
| 18. Resampling Timeseries.srt |
9.39Кб |
| 18. Reshaping With stack().mp4 |
30.57Мб |
| 18. Reshaping With stack().srt |
7.07Кб |
| 18. Solution.mp4 |
45.19Мб |
| 18. Solution.mp4 |
25.76Мб |
| 18. Solution.srt |
9.66Кб |
| 18. Solution.srt |
4.37Кб |
| 18. Truth Value Of Non-booleans.mp4 |
15.92Мб |
| 18. Truth Value Of Non-booleans.srt |
4.40Кб |
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| 19 |
17.06Кб |
| 19. BONUS - There's Also apply().mp4 |
41.18Мб |
| 19. BONUS - There's Also apply().srt |
8.51Кб |
| 19. BONUS Using Callables With .loc And .iloc.mp4 |
37.14Мб |
| 19. BONUS Using Callables With .loc And .iloc.srt |
10.69Кб |
| 19. For Loops.mp4 |
20.57Мб |
| 19. For Loops.srt |
6.75Кб |
| 19. Identifying Dupes.mp4 |
60.88Мб |
| 19. Identifying Dupes.srt |
12.92Кб |
| 19. Is This A Valid Email.mp4 |
80.08Мб |
| 19. Is This A Valid Email.srt |
18.63Кб |
| 19. More Cleanup Going Numeric.mp4 |
18.63Мб |
| 19. More Cleanup Going Numeric.srt |
3.91Кб |
| 19. Sorting With sort_index().mp4 |
15.30Мб |
| 19. Sorting With sort_index().srt |
4.01Кб |
| 19. The Flipside unstack().mp4 |
45.95Мб |
| 19. The Flipside unstack().srt |
7.71Кб |
| 19. The join() Method.mp4 |
22.87Мб |
| 19. The join() Method.srt |
3.19Кб |
| 19. Upsampling And Interpolation.mp4 |
49.40Мб |
| 19. Upsampling And Interpolation.srt |
11.11Кб |
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| 2 |
129б |
| 2. Data Types.mp4 |
10.16Мб |
| 2. Data Types.srt |
2.97Кб |
| 2. Installing Anaconda And Python - Mac.mp4 |
17.14Мб |
| 2. Installing Anaconda And Python - Mac.srt |
2.56Кб |
| 2. Introducing (Five) New Datasets.mp4 |
40.60Мб |
| 2. Introducing (Five) New Datasets.srt |
6.58Кб |
| 2. Introducing A New Dataset.mp4 |
18.30Мб |
| 2. Introducing A New Dataset.srt |
4.53Кб |
| 2. Introducing New Data.mp4 |
22.11Мб |
| 2. Introducing New Data.srt |
6.05Кб |
| 2. New Data Game Sales.mp4 |
14.89Мб |
| 2. New Data Game Sales.srt |
3.81Кб |
| 2. New Data New York City SAT Scores.mp4 |
26.77Мб |
| 2. New Data New York City SAT Scores.srt |
5.42Кб |
| 2. Our Data Boston Marathon Runners.mp4 |
23.57Мб |
| 2. Our Data Boston Marathon Runners.srt |
3.72Кб |
| 2. Pandas Is Not Single.mp4 |
17.81Мб |
| 2. Pandas Is Not Single.srt |
2.46Кб |
| 2. Reading In Data With read_csv().mp4 |
52.81Мб |
| 2. Reading In Data With read_csv().srt |
10.26Кб |
| 2. Reading JSON.mp4 |
19.74Мб |
| 2. Reading JSON.srt |
5.59Кб |
| 2. The Art Of Data Visualization.mp4 |
13.01Мб |
| 2. The Art Of Data Visualization.srt |
3.61Кб |
| 2. The Python datetime Module.mp4 |
40.29Мб |
| 2. The Python datetime Module.srt |
12.54Кб |
| 2. What Is A DataFrame.mp4 |
45.86Мб |
| 2. What Is A DataFrame.srt |
12.04Кб |
| 2. What Is A Series.mp4 |
12.54Мб |
| 2. What Is A Series.srt |
4.80Кб |
| 20 |
120.06Кб |
| 20. BONUS Creating MultiLevel Columns Manually.mp4 |
58.73Мб |
| 20. BONUS Creating MultiLevel Columns Manually.srt |
12.74Кб |
| 20. BONUS What's The Point Of re.compile().mp4 |
18.31Мб |
| 20. BONUS What's The Point Of re.compile().srt |
4.23Кб |
| 20. Removing Duplicates.mp4 |
29.82Мб |
| 20. Removing Duplicates.srt |
6.64Кб |
| 20. Selecting With .get().mp4 |
30.55Мб |
| 20. Selecting With .get().srt |
5.67Кб |
| 20. Skill Challenge.mp4 |
4.05Мб |
| 20. Skill Challenge.mp4 |
3.81Мб |
| 20. Skill Challenge.mp4 |
3.18Мб |
| 20. Skill Challenge.srt |
1.18Кб |
| 20. Skill Challenge.srt |
1.39Кб |
| 20. Skill Challenge.srt |
1.53Кб |
| 20. The astype() Method.mp4 |
25.17Мб |
| 20. The astype() Method.srt |
7.27Кб |
| 20. The range() Immutable Sequence.mp4 |
23.72Мб |
| 20. The range() Immutable Sequence.srt |
6.41Кб |
| 20. What About asfreq().mp4 |
36.61Мб |
| 20. What About asfreq().srt |
10.92Кб |
| 200 |
105.79Кб |
| 201 |
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| 2017BostonMarathonTop1000.csv |
57.55Кб |
| 2017BostonMarathonTop1000 (1).csv |
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| 21. An Easier Way transpose().mp4 |
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| 21. An Easier Way transpose().srt |
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| 21. BONUS Rolling Windows.mp4 |
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| 21. BONUS Rolling Windows.srt |
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| 21. DataFrame replace() + A Glimpse At Regex.mp4 |
44.28Мб |
| 21. DataFrame replace() + A Glimpse At Regex.srt |
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| 21. Pandas str contains(), split() And replace() With Regex.mp4 |
76.29Мб |
| 21. Pandas str contains(), split() And replace() With Regex.srt |
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| 21. Removing DataFrame Rows.mp4 |
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| 21. Removing DataFrame Rows.srt |
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| 21. Selection Recap.mp4 |
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| 21. Selection Recap.srt |
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| 21. Solution.mp4 |
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| 21. Solution.mp4 |
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| 21. Solution.mp4 |
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| 21. Solution.srt |
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| 21. Solution.srt |
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| 21. While Loops.mp4 |
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| 21. While Loops.srt |
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| 22. BONUS - Removing Columns.mp4 |
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| 22. BONUS - Removing Columns.srt |
3.55Кб |
| 22. BONUS - What About Panels.mp4 |
27.89Мб |
| 22. BONUS - What About Panels.srt |
3.98Кб |
| 22. Break And Continue.mp4 |
19.14Мб |
| 22. Break And Continue.srt |
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| 22. Part I Collecting The Units.mp4 |
66.82Мб |
| 22. Part I Collecting The Units.srt |
15.45Кб |
| 22. Series Arithmetics And fill_value().mp4 |
40.20Мб |
| 22. Series Arithmetics And fill_value().srt |
9.10Кб |
| 22. Skill Challenge.mp4 |
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| 22. Skill Challenge.mp4 |
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| 22. Skill Challenge.mp4 |
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| 22. Skill Challenge.srt |
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| 23 |
542.51Кб |
| 23. BONUS - Another Way pop().mp4 |
19.07Мб |
| 23. BONUS - Another Way pop().srt |
5.25Кб |
| 23. BONUS Calculating Variance And Standard Deviation.mp4 |
17.36Мб |
| 23. BONUS Calculating Variance And Standard Deviation.srt |
5.20Кб |
| 23. Skill Challenge.mp4 |
8.01Мб |
| 23. Skill Challenge.srt |
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| 23. Solution.mp4 |
72.37Мб |
| 23. Solution.mp4 |
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| 23. Solution.mp4 |
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| 23. Solution.srt |
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| 23. Solution.srt |
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| 23. Solution.srt |
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| 23. The rename() Method.mp4 |
27.59Мб |
| 23. The rename() Method.srt |
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| 23. Zipping Iterables.mp4 |
17.19Мб |
| 23. Zipping Iterables.srt |
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636.89Кб |
| 24. BONUS - A Sophisticated Alternative.mp4 |
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| 24. BONUS - A Sophisticated Alternative.srt |
5.91Кб |
| 24. Cumulative Operations.mp4 |
17.94Мб |
| 24. Cumulative Operations.srt |
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| 24. DataFrame dropna().mp4 |
40.08Мб |
| 24. DataFrame dropna().srt |
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| 24. List Comprehensions.mp4 |
31.78Мб |
| 24. List Comprehensions.srt |
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| 24. Solution.mp4 |
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| 24. Solution.srt |
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| 25 |
915.25Кб |
| 25. BONUS - dropna() With Subset.mp4 |
29.26Мб |
| 25. BONUS - dropna() With Subset.srt |
9.04Кб |
| 25. Defining Functions.mp4 |
57.77Мб |
| 25. Defining Functions.srt |
13.65Кб |
| 25. Null Values In DataFrames.mp4 |
42.16Мб |
| 25. Null Values In DataFrames.srt |
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| 25. Pairwise Differences With diff().mp4 |
12.79Мб |
| 25. Pairwise Differences With diff().srt |
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| 250 |
833.87Кб |
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| 26 |
280.99Кб |
| 26. Dropping And Filling DataFrame NAs.mp4 |
49.00Мб |
| 26. Dropping And Filling DataFrame NAs.srt |
8.52Кб |
| 26. Function Arguments Positional vs Keyword.mp4 |
30.44Мб |
| 26. Function Arguments Positional vs Keyword.srt |
8.89Кб |
| 26. Part II Merging Units With Column Names.mp4 |
57.28Мб |
| 26. Part II Merging Units With Column Names.srt |
12.95Кб |
| 26. Series Iteration.mp4 |
16.07Мб |
| 26. Series Iteration.srt |
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| 27 |
625.60Кб |
| 27. BONUS - Methods And Axes With fillna().mp4 |
57.38Мб |
| 27. BONUS - Methods And Axes With fillna().srt |
10.87Кб |
| 27. Filtering filter(), where(), And mask().mp4 |
55.05Мб |
| 27. Filtering filter(), where(), And mask().srt |
13.30Кб |
| 27. Lambdas.mp4 |
23.21Мб |
| 27. Lambdas.srt |
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| 27. Part III Removing Units From Values.mp4 |
35.62Мб |
| 27. Part III Removing Units From Values.srt |
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| 28 |
233.73Кб |
| 28. Filtering in 2D.mp4 |
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| 28. Filtering in 2D.srt |
10.45Кб |
| 28. Importing Modules.mp4 |
34.15Мб |
| 28. Importing Modules.srt |
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| 28. Skill Challenge.mp4 |
5.30Мб |
| 28. Skill Challenge.srt |
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| 28. Transforming With update(), apply() And map().mp4 |
69.92Мб |
| 28. Transforming With update(), apply() And map().srt |
14.60Кб |
| 280 |
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| 29 |
634.54Кб |
| 29. DataFrame Sorting.mp4 |
49.42Мб |
| 29. DataFrame Sorting.srt |
8.74Кб |
| 29. Skill Challenge.mp4 |
10.20Мб |
| 29. Skill Challenge.srt |
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| 29. Solution.mp4 |
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| 29. Solution.srt |
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| 3 |
526б |
| 3. Anaconda.mp4 |
20.71Мб |
| 3. Anaconda.srt |
3.80Кб |
| 3. Concatenating DataFrames.mp4 |
42.12Мб |
| 3. Concatenating DataFrames.srt |
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| 3. Creating A DataFrame.mp4 |
22.42Мб |
| 3. Creating A DataFrame.srt |
5.49Кб |
| 3. Index And RangeIndex.mp4 |
26.87Мб |
| 3. Index And RangeIndex.srt |
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| 3. Installing Anaconda And Python - Linux.mp4 |
30.95Мб |
| 3. Installing Anaconda And Python - Linux.srt |
4.49Кб |
| 3. Parameters vs Arguments.mp4 |
8.07Мб |
| 3. Parameters vs Arguments.srt |
3.28Кб |
| 3. Parsing Dates From Text.mp4 |
52.82Мб |
| 3. Parsing Dates From Text.srt |
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| 3. Pivoting Data.mp4 |
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| 3. Pivoting Data.srt |
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| 3. Quick Review Indexing With Boolean Masks.mp4 |
23.33Мб |
| 3. Quick Review Indexing With Boolean Masks.srt |
4.26Кб |
| 3. Reading HTML.mp4 |
103.72Мб |
| 3. Reading HTML.srt |
16.44Кб |
| 3. Series Sizing With .size, .shape, And len().mp4 |
23.26Мб |
| 3. Series Sizing With .size, .shape, And len().srt |
5.44Кб |
| 3. Simple Aggregations Review.mp4 |
29.02Мб |
| 3. Simple Aggregations Review.srt |
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| 3. String Methods In Python.mp4 |
28.77Мб |
| 3. String Methods In Python.srt |
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| 3. The Preliminaries Of matplotlib.mp4 |
62.88Мб |
| 3. The Preliminaries Of matplotlib.srt |
14.36Кб |
| 3. Variables.mp4 |
39.13Мб |
| 3. Variables.srt |
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| 30 |
734.56Кб |
| 30. Calculating Aggregates With agg().mp4 |
37.08Мб |
| 30. Calculating Aggregates With agg().srt |
11.36Кб |
| 30. Solution I - Reading Data.mp4 |
14.55Мб |
| 30. Solution I - Reading Data.srt |
2.57Кб |
| 30. Using Series between() With DataFrames.mp4 |
34.97Мб |
| 30. Using Series between() With DataFrames.srt |
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| 300 |
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710.92Кб |
| 31 |
1014.02Кб |
| 31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4 |
62.98Мб |
| 31. BONUS - Min, Max and Idx[MinMax], And Good Foods.srt |
10.48Кб |
| 31. Same-shape Transforms.mp4 |
66.98Мб |
| 31. Same-shape Transforms.srt |
18.13Кб |
| 31. Solution II - Mean, Median, And Standard Deviation.mp4 |
20.47Мб |
| 31. Solution II - Mean, Median, And Standard Deviation.srt |
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| 32 |
283.14Кб |
| 32. DataFrame nlargest() And nsmallest().mp4 |
35.36Мб |
| 32. DataFrame nlargest() And nsmallest().srt |
7.10Кб |
| 32. More Flexibility With apply().mp4 |
59.38Мб |
| 32. More Flexibility With apply().srt |
16.43Кб |
| 32. Solution III - Z-scores.mp4 |
48.20Мб |
| 32. Solution III - Z-scores.srt |
9.62Кб |
| 33 |
391.34Кб |
| 33. Element-wise Operations With applymap().mp4 |
68.51Мб |
| 33. Element-wise Operations With applymap().srt |
15.95Кб |
| 33. Skill Challenge.mp4 |
4.31Мб |
| 33. Skill Challenge.srt |
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| 34 |
970.83Кб |
| 34. Skill Challenge.mp4 |
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| 34. Skill Challenge.srt |
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| 34. Solution.mp4 |
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| 34. Solution.srt |
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| 35 |
116.52Кб |
| 35. Another Skill Challenge.mp4 |
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| 35. Another Skill Challenge.srt |
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| 35. Solution.mp4 |
26.47Мб |
| 35. Solution.srt |
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| 36 |
768.62Кб |
| 36. Setting DataFrame Values.mp4 |
43.55Мб |
| 36. Setting DataFrame Values.srt |
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| 36. Solution.mp4 |
36.86Мб |
| 36. Solution.srt |
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| 37 |
843.70Кб |
| 37. The SettingWithCopy Warning.mp4 |
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| 37. The SettingWithCopy Warning.srt |
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| 38 |
33.05Кб |
| 38. View vs Copy.mp4 |
49.30Мб |
| 38. View vs Copy.srt |
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| 39 |
187.49Кб |
| 39. Adding DataFrame Columns.mp4 |
36.47Мб |
| 39. Adding DataFrame Columns.srt |
9.89Кб |
| 3KeyConcepts.pdf |
62.95Кб |
| 4 |
13б |
| 4. Arithmetic And Augmented Assignment Operators.mp4 |
27.46Мб |
| 4. Arithmetic And Augmented Assignment Operators.srt |
8.54Кб |
| 4. BONUS - Four More Ways To Build DataFrames.mp4 |
73.23Мб |
| 4. BONUS - Four More Ways To Build DataFrames.srt |
17.40Кб |
| 4. Conditional Aggregates.mp4 |
24.51Мб |
| 4. Conditional Aggregates.srt |
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| 4. Creating A MultiIndex.mp4 |
20.15Мб |
| 4. Creating A MultiIndex.srt |
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| 4. Even Better dateutil.mp4 |
23.85Мб |
| 4. Even Better dateutil.srt |
5.21Кб |
| 4. Jupyter Notebooks.mp4 |
48.02Мб |
| 4. Jupyter Notebooks.srt |
14.00Кб |
| 4. Line Graphs.mp4 |
54.18Мб |
| 4. Line Graphs.srt |
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| 4. More Approaches To Boolean Masking.mp4 |
68.42Мб |
| 4. More Approaches To Boolean Masking.srt |
11.56Кб |
| 4. Reading Excel.mp4 |
55.72Мб |
| 4. Reading Excel.srt |
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| 4. The Duplicated Index Issue.mp4 |
51.32Мб |
| 4. The Duplicated Index Issue.srt |
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| 4. Undoing Pivots.mp4 |
27.89Мб |
| 4. Undoing Pivots.srt |
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| 4. Unique Values And Series Monotonicity.mp4 |
17.80Мб |
| 4. Unique Values And Series Monotonicity.srt |
6.17Кб |
| 4. Vectorized String Operations In Pandas.mp4 |
18.43Мб |
| 4. Vectorized String Operations In Pandas.srt |
4.31Кб |
| 4. What’s In The Data.mp4 |
20.41Мб |
| 4. What’s In The Data.srt |
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| 40 |
194.64Кб |
| 40. Adding Rows To DataFrames.mp4 |
49.90Мб |
| 40. Adding Rows To DataFrames.srt |
11.30Кб |
| 41 |
693.80Кб |
| 41. BONUS - How Are DataFrames Stored In Memory.mp4 |
21.73Мб |
| 41. BONUS - How Are DataFrames Stored In Memory.srt |
5.05Кб |
| 42 |
538.49Кб |
| 42. Skill Challenge.mp4 |
5.04Мб |
| 42. Skill Challenge.srt |
1.95Кб |
| 43 |
638.15Кб |
| 43. Solution.mp4 |
31.94Мб |
| 43. Solution.srt |
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| 44 |
881.93Кб |
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97.40Кб |
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590.98Кб |
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611.88Кб |
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712.50Кб |
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840.12Кб |
| 5 |
18б |
| 5. Bar Charts.mp4 |
50.14Мб |
| 5. Bar Charts.srt |
11.91Кб |
| 5. Binary Operators With Booleans.mp4 |
37.94Мб |
| 5. Binary Operators With Booleans.srt |
12.19Кб |
| 5. Case Operations.mp4 |
14.03Мб |
| 5. Case Operations.srt |
3.64Кб |
| 5. Cloud vs Local.mp4 |
26.53Мб |
| 5. Cloud vs Local.srt |
7.00Кб |
| 5. Creating Output The to_ Family Of Methods.mp4 |
74.01Мб |
| 5. Creating Output The to_ Family Of Methods.srt |
18.51Кб |
| 5. Enforcing Unique Indices.mp4 |
58.39Мб |
| 5. Enforcing Unique Indices.srt |
9.05Кб |
| 5. From Datetime To String.mp4 |
22.37Мб |
| 5. From Datetime To String.srt |
5.93Кб |
| 5. Ints And Floats.mp4 |
42.80Мб |
| 5. Ints And Floats.srt |
11.38Кб |
| 5. MultiIndex From read_csv().mp4 |
27.70Мб |
| 5. MultiIndex From read_csv().srt |
4.83Кб |
| 5. The .dtype Attribute.mp4 |
6.37Мб |
| 5. The .dtype Attribute.srt |
2.54Кб |
| 5. The count() Method.mp4 |
6.03Мб |
| 5. The count() Method.srt |
2.82Кб |
| 5. The info() Method.mp4 |
19.04Мб |
| 5. The info() Method.srt |
5.25Кб |
| 5. The Split-Apply-Combine Pattern.mp4 |
22.51Мб |
| 5. The Split-Apply-Combine Pattern.srt |
5.06Кб |
| 5. What About Aggregates.mp4 |
34.25Мб |
| 5. What About Aggregates.srt |
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| 50 |
1020.25Кб |
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296.54Кб |
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666.25Кб |
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809.08Кб |
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945.22Кб |
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55.29Кб |
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147.29Кб |
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185.87Кб |
| 6 |
134б |
| 6. Accessing And Counting NAs.mp4 |
36.79Мб |
| 6. Accessing And Counting NAs.srt |
10.76Кб |
| 6. BONUS - Creating Multiple Indices With concat().mp4 |
28.45Мб |
| 6. BONUS - Creating Multiple Indices With concat().srt |
5.32Кб |
| 6. BONUS Introduction To Pickling.mp4 |
31.71Мб |
| 6. BONUS Introduction To Pickling.srt |
8.01Кб |
| 6. BONUS What Is dtype('o'), Really.mp4 |
10.10Мб |
| 6. BONUS What Is dtype('o'), Really.srt |
3.97Кб |
| 6. BONUS - XOR and Complement Binary Ops.mp4 |
50.47Мб |
| 6. BONUS - XOR and Complement Binary Ops.srt |
14.33Кб |
| 6. Booleans And Comparison Operators.mp4 |
21.88Мб |
| 6. Booleans And Comparison Operators.srt |
6.34Кб |
| 6. Finding Characters And Words.mp4 |
25.73Мб |
| 6. Finding Characters And Words.srt |
7.65Кб |
| 6. Hello, Python.mp4 |
32.79Мб |
| 6. Hello, Python.srt |
5.25Кб |
| 6. Indexing Hierarchical DataFrames.mp4 |
39.39Мб |
| 6. Indexing Hierarchical DataFrames.srt |
10.21Кб |
| 6. Performant Datetimes With Numpy.mp4 |
35.33Мб |
| 6. Performant Datetimes With Numpy.srt |
10.30Кб |
| 6. Pie Plots.mp4 |
54.89Мб |
| 6. Pie Plots.srt |
12.01Кб |
| 6. Reading In Nutrition Data.mp4 |
27.29Мб |
| 6. Reading In Nutrition Data.srt |
4.59Кб |
| 6. The groupby() Method.mp4 |
21.56Мб |
| 6. The groupby() Method.srt |
5.52Кб |
| 6. The pivot_table().mp4 |
33.66Мб |
| 6. The pivot_table().srt |
6.96Кб |
| 60 |
224.49Кб |
| 61 |
442.24Кб |
| 62 |
826.13Кб |
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1001.24Кб |
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202.97Кб |
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738.72Кб |
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881.82Кб |
| 67 |
459.30Кб |
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521.21Кб |
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60.05Кб |
| 7 |
251.88Кб |
| 7. BONUS Another Approach.mp4 |
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| 7. BONUS Another Approach.srt |
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| Appendix_A_Rapid_Fire_Python_Fundamentals.ipynb.zip |
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