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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
90B |
| 1 |
43B |
| 1. Course Structure.mp4 |
14.06MB |
| 1. Course Structure.srt |
1.79KB |
| 1. Installing Anaconda And Python - Windows.mp4 |
71.34MB |
| 1. Installing Anaconda And Python - Windows.srt |
7.62KB |
| 1. Section Intro.mp4 |
26.42MB |
| 1. Section Intro.mp4 |
23.83MB |
| 1. Section Intro.mp4 |
22.33MB |
| 1. Section Intro.mp4 |
21.13MB |
| 1. Section Intro.mp4 |
17.09MB |
| 1. Section Intro.mp4 |
16.68MB |
| 1. Section Intro.mp4 |
12.93MB |
| 1. Section Intro.mp4 |
10.81MB |
| 1. Section Intro.mp4 |
10.33MB |
| 1. Section Intro.mp4 |
8.88MB |
| 1. Section Intro.mp4 |
7.95MB |
| 1. Section Intro.mp4 |
6.93MB |
| 1. Section Intro.mp4 |
5.21MB |
| 1. Section Intro.srt |
1.32KB |
| 1. Section Intro.srt |
2.36KB |
| 1. Section Intro.srt |
2.29KB |
| 1. Section Intro.srt |
1.53KB |
| 1. Section Intro.srt |
2.30KB |
| 1. Section Intro.srt |
1.47KB |
| 1. Section Intro.srt |
3.06KB |
| 1. Section Intro.srt |
2.30KB |
| 1. Section Intro.srt |
2.28KB |
| 1. Section Intro.srt |
1.67KB |
| 1. Section Intro.srt |
1.58KB |
| 1. Section Intro.srt |
1.54KB |
| 1. Section Intro.srt |
1.12KB |
| 10 |
596.81KB |
| 10. A Cool Shorcut read_csv() With parse_dates.mp4 |
17.61MB |
| 10. A Cool Shorcut read_csv() With parse_dates.srt |
4.68KB |
| 10. BONUS Data Ink And Chartjunk.mp4 |
32.34MB |
| 10. BONUS Data Ink And Chartjunk.srt |
3.94KB |
| 10. BONUS - How Are Random Numbers Generated.mp4 |
42.94MB |
| 10. BONUS - How Are Random Numbers Generated.srt |
6.67KB |
| 10. Lists vs. Strings.mp4 |
27.56MB |
| 10. Lists vs. Strings.srt |
8.56KB |
| 10. MultiIndex Pivot Tables.mp4 |
19.05MB |
| 10. MultiIndex Pivot Tables.srt |
3.62KB |
| 10. Skill Challenge.mp4 |
5.99MB |
| 10. Skill Challenge.mp4 |
4.05MB |
| 10. Skill Challenge.mp4 |
3.78MB |
| 10. Skill Challenge.mp4 |
3.23MB |
| 10. Skill Challenge.mp4 |
3.22MB |
| 10. Skill Challenge.srt |
1.48KB |
| 10. Skill Challenge.srt |
2.07KB |
| 10. Skill Challenge.srt |
1.66KB |
| 10. Skill Challenge.srt |
1.17KB |
| 10. Skill Challenge.srt |
1.34KB |
| 10. Solution.mp4 |
45.82MB |
| 10. Solution.mp4 |
40.04MB |
| 10. Solution.mp4 |
22.90MB |
| 10. Solution.srt |
8.75KB |
| 10. Solution.srt |
7.50KB |
| 10. Solution.srt |
4.75KB |
| 100 |
942.44KB |
| 101 |
94.50KB |
| 102 |
144.47KB |
| 103 |
213.59KB |
| 104 |
366.10KB |
| 105 |
401.69KB |
| 106 |
481.83KB |
| 107 |
524.51KB |
| 108 |
538.80KB |
| 109 |
697.11KB |
| 11 |
18.31KB |
| 11. 2d Indexing.mp4 |
40.02MB |
| 11. 2d Indexing.srt |
11.36KB |
| 11. Another Solution.mp4 |
11.24MB |
| 11. Another Solution.srt |
3.62KB |
| 11. Applying Multiple Functions.mp4 |
18.33MB |
| 11. Applying Multiple Functions.srt |
4.77KB |
| 11. DataFrame Axes.mp4 |
23.31MB |
| 11. DataFrame Axes.srt |
4.99KB |
| 11. Indexing Dates.mp4 |
26.63MB |
| 11. Indexing Dates.srt |
5.60KB |
| 11. List Methods And Functions.mp4 |
32.99MB |
| 11. List Methods And Functions.srt |
10.47KB |
| 11. Skill Challenge.mp4 |
7.52MB |
| 11. Skill Challenge.srt |
2.04KB |
| 11. Solution.mp4 |
59.47MB |
| 11. Solution.mp4 |
44.80MB |
| 11. Solution.mp4 |
27.59MB |
| 11. Solution.mp4 |
21.97MB |
| 11. Solution.mp4 |
13.45MB |
| 11. Solution.srt |
13.07KB |
| 11. Solution.srt |
10.18KB |
| 11. Solution.srt |
6.25KB |
| 11. Solution.srt |
4.90KB |
| 11. Solution.srt |
3.68KB |
| 110 |
798.98KB |
| 111 |
864.88KB |
| 112 |
1014.99KB |
| 113 |
384.19KB |
| 114 |
386.22KB |
| 115 |
390.82KB |
| 116 |
630.29KB |
| 117 |
656.09KB |
| 118 |
686.96KB |
| 119 |
35.32KB |
| 12 |
180.32KB |
| 12. Changing The Index.mp4 |
50.38MB |
| 12. Changing The Index.srt |
8.69KB |
| 12. Containers II Tuples.mp4 |
20.03MB |
| 12. Containers II Tuples.srt |
5.66KB |
| 12. Dropping And Filling NAs.mp4 |
21.52MB |
| 12. Dropping And Filling NAs.srt |
5.14KB |
| 12. Fancy Indexing With lookup().mp4 |
46.21MB |
| 12. Fancy Indexing With lookup().srt |
9.70KB |
| 12. Iterating Through Groups.mp4 |
21.03MB |
| 12. Iterating Through Groups.srt |
4.10KB |
| 12. Skill Challenge.mp4 |
5.48MB |
| 12. Skill Challenge.mp4 |
3.79MB |
| 12. Skill Challenge.srt |
1.60KB |
| 12. Skill Challenge.srt |
1.30KB |
| 12. Slicing Substrings.mp4 |
24.19MB |
| 12. Slicing Substrings.srt |
7.00KB |
| 12. Solution.mp4 |
54.25MB |
| 12. Solution.srt |
9.77KB |
| 12. The Anatomy Of A MultiIndex Object.mp4 |
34.85MB |
| 12. The Anatomy Of A MultiIndex Object.srt |
10.45KB |
| 12. The head() And tail() Methods.mp4 |
22.98MB |
| 12. The head() And tail() Methods.srt |
6.17KB |
| 12. The merge() Method.mp4 |
35.38MB |
| 12. The merge() Method.srt |
6.77KB |
| 120 |
155.39KB |
| 121 |
764.62KB |
| 122 |
868.23KB |
| 123 |
337.51KB |
| 124 |
343.42KB |
| 125 |
419.99KB |
| 126 |
851.93KB |
| 127 |
864.61KB |
| 128 |
866.51KB |
| 129 |
14.17KB |
| 13 |
717.56KB |
| 13. Adding Another Level.mp4 |
33.59MB |
| 13. Adding Another Level.srt |
6.82KB |
| 13. Containers III Sets.mp4 |
52.97MB |
| 13. Containers III Sets.srt |
12.21KB |
| 13. Descriptive Statistics.mp4 |
33.67MB |
| 13. Descriptive Statistics.srt |
9.21KB |
| 13. Extracting By Index Position.mp4 |
29.06MB |
| 13. Extracting By Index Position.srt |
8.63KB |
| 13. Extracting From DataFrames By Label.mp4 |
36.01MB |
| 13. Extracting From DataFrames By Label.srt |
8.07KB |
| 13. Handpicking Subgroups.mp4 |
23.65MB |
| 13. Handpicking Subgroups.srt |
5.40KB |
| 13. Masking With String Methods.mp4 |
36.91MB |
| 13. Masking With String Methods.srt |
8.23KB |
| 13. Solution.mp4 |
36.64MB |
| 13. Solution.mp4 |
17.10MB |
| 13. Solution.srt |
6.44KB |
| 13. Solution.srt |
3.94KB |
| 13. Sorting By Index Or Column.mp4 |
45.02MB |
| 13. Sorting By Index Or Column.srt |
7.59KB |
| 13. The left_on And right_on Params.mp4 |
32.20MB |
| 13. The left_on And right_on Params.srt |
5.16KB |
| 130 |
215.93KB |
| 131 |
678.32KB |
| 132 |
820.19KB |
| 133 |
894.16KB |
| 134 |
60.33KB |
| 135 |
225.15KB |
| 136 |
271.88KB |
| 137 |
275.59KB |
| 138 |
296.18KB |
| 139 |
48.65KB |
| 14 |
775.05KB |
| 14. Accessing Elements By Label.mp4 |
27.06MB |
| 14. Accessing Elements By Label.srt |
7.92KB |
| 14. BONUS Parsing Indicators With get_dummies().mp4 |
66.30MB |
| 14. BONUS Parsing Indicators With get_dummies().srt |
12.56KB |
| 14. Containers IV Dictionaries.mp4 |
22.74MB |
| 14. Containers IV Dictionaries.srt |
6.67KB |
| 14. DataFrame Extraction by Position.mp4 |
46.71MB |
| 14. DataFrame Extraction by Position.srt |
9.66KB |
| 14. DateTimeIndex Attribute Accessors.mp4 |
38.15MB |
| 14. DateTimeIndex Attribute Accessors.srt |
9.14KB |
| 14. Inner vs Outer Joins.mp4 |
27.11MB |
| 14. Inner vs Outer Joins.srt |
6.34KB |
| 14. MultiIndex Grouping.mp4 |
26.54MB |
| 14. MultiIndex Grouping.srt |
6.65KB |
| 14. Shuffling Levels.mp4 |
24.32MB |
| 14. Shuffling Levels.srt |
5.94KB |
| 14. Sorting vs. Reordering.mp4 |
65.24MB |
| 14. Sorting vs. Reordering.srt |
14.48KB |
| 14. The describe() Method.mp4 |
9.70MB |
| 14. The describe() Method.srt |
2.53KB |
| 140 |
442.81KB |
| 141 |
462.43KB |
| 142 |
568.65KB |
| 143 |
184.91KB |
| 144 |
526.35KB |
| 145 |
543.68KB |
| 146 |
587.41KB |
| 147 |
759.30KB |
| 148 |
786.51KB |
| 149 |
966.47KB |
| 15 |
854.22KB |
| 15. BONUS - Another Way.mp4 |
12.95MB |
| 15. BONUS - Another Way.srt |
2.64KB |
| 15. BONUS The add_prefix() And add_suffix() Methods.mp4 |
16.49MB |
| 15. BONUS The add_prefix() And add_suffix() Methods.srt |
4.00KB |
| 15. Creating Date Ranges.mp4 |
36.53MB |
| 15. Creating Date Ranges.srt |
6.86KB |
| 15. Dictionary Keys And Values.mp4 |
36.32MB |
| 15. Dictionary Keys And Values.srt |
10.58KB |
| 15. Fine-tuned Aggregates.mp4 |
44.14MB |
| 15. Fine-tuned Aggregates.srt |
10.43KB |
| 15. Left vs Right Joins.mp4 |
20.27MB |
| 15. Left vs Right Joins.srt |
4.40KB |
| 15. mode() And value_counts().mp4 |
31.73MB |
| 15. mode() And value_counts().srt |
8.13KB |
| 15. Removing MultiIndex Levels.mp4 |
37.70MB |
| 15. Removing MultiIndex Levels.srt |
7.59KB |
| 15. Single Value Access With .at And .iat.mp4 |
26.34MB |
| 15. Single Value Access With .at And .iat.srt |
5.82KB |
| 15. Text Replacement.mp4 |
41.78MB |
| 15. Text Replacement.srt |
9.06KB |
| 150 |
1005.57KB |
| 151 |
233.76KB |
| 152 |
561.44KB |
| 153 |
651.98KB |
| 154 |
829.22KB |
| 155 |
90.98KB |
| 156 |
111.46KB |
| 157 |
111.92KB |
| 158 |
312.20KB |
| 159 |
416.27KB |
| 16 |
363.21KB |
| 16. 15. BONUS - Please Avoid Sorting Like This.mp4 |
17.07MB |
| 16. 15. BONUS - Please Avoid Sorting Like This.srt |
4.33KB |
| 16. BONUS - The get_loc() Method.mp4 |
25.07MB |
| 16. BONUS - The get_loc() Method.srt |
7.37KB |
| 16. idxmax() And idxmin().mp4 |
22.00MB |
| 16. idxmax() And idxmin().srt |
6.46KB |
| 16. Introduction To Regular Expressions.mp4 |
75.02MB |
| 16. Introduction To Regular Expressions.srt |
16.30KB |
| 16. Membership Operators.mp4 |
19.28MB |
| 16. Membership Operators.srt |
5.04KB |
| 16. MultiIndex sort_index().mp4 |
35.62MB |
| 16. MultiIndex sort_index().srt |
7.57KB |
| 16. Named Aggregations.mp4 |
36.49MB |
| 16. Named Aggregations.srt |
7.90KB |
| 16. One-to-One and One-to-Many Joins.mp4 |
57.01MB |
| 16. One-to-One and One-to-Many Joins.srt |
10.37KB |
| 16. Shifting Dates With pd.DateOffset.mp4 |
36.22MB |
| 16. Shifting Dates With pd.DateOffset.srt |
8.29KB |
| 16. Using Dot Notation.mp4 |
13.25MB |
| 16. Using Dot Notation.srt |
4.51KB |
| 160 |
420.73KB |
| 161 |
447.38KB |
| 162 |
556.46KB |
| 163 |
731.01KB |
| 164 |
908.51KB |
| 165 |
928.16KB |
| 166 |
959.98KB |
| 167 |
133.17KB |
| 168 |
239.07KB |
| 169 |
378.41KB |
| 17 |
486.68KB |
| 17. BONUS Timedeltas And Absolute Time.mp4 |
28.36MB |
| 17. BONUS Timedeltas And Absolute Time.srt |
7.23KB |
| 17. Boolean Masks And The .loc Indexer.mp4 |
29.47MB |
| 17. Boolean Masks And The .loc Indexer.srt |
10.21KB |
| 17. Controlling Flow if, else, And elif.mp4 |
41.66MB |
| 17. Controlling Flow if, else, And elif.srt |
10.80KB |
| 17. Many-to-Many Joins.mp4 |
55.62MB |
| 17. Many-to-Many Joins.srt |
9.30KB |
| 17. More MultiIndex Methods.mp4 |
37.92MB |
| 17. More MultiIndex Methods.srt |
10.13KB |
| 17. More Regex Concepts.mp4 |
65.17MB |
| 17. More Regex Concepts.srt |
12.38KB |
| 17. Skill Challenge.mp4 |
4.48MB |
| 17. Skill Challenge.mp4 |
4.10MB |
| 17. Skill Challenge.srt |
1.71KB |
| 17. Skill Challenge.srt |
1.46KB |
| 17. Sorting With sort_values().mp4 |
19.63MB |
| 17. Sorting With sort_values().srt |
5.66KB |
| 17. The filter() Method.mp4 |
26.12MB |
| 17. The filter() Method.srt |
6.61KB |
| 170 |
468.12KB |
| 171 |
481.80KB |
| 172 |
546.65KB |
| 173 |
590.10KB |
| 174 |
677.16KB |
| 175 |
902.48KB |
| 176 |
244.90KB |
| 177 |
275.63KB |
| 178 |
688.77KB |
| 179 |
846.12KB |
| 18 |
627.62KB |
| 18. Extracting By Position With .iloc.mp4 |
11.61MB |
| 18. Extracting By Position With .iloc.srt |
4.35KB |
| 18. GroupBy Transformations.mp4 |
38.79MB |
| 18. GroupBy Transformations.srt |
9.34KB |
| 18. How To Approach Regex.mp4 |
63.52MB |
| 18. How To Approach Regex.srt |
13.26KB |
| 18. Merging By Index.mp4 |
38.15MB |
| 18. Merging By Index.srt |
6.19KB |
| 18. nlargest() And nsmallest().mp4 |
12.17MB |
| 18. nlargest() And nsmallest().srt |
3.26KB |
| 18. Resampling Timeseries.mp4 |
38.53MB |
| 18. Resampling Timeseries.srt |
9.39KB |
| 18. Reshaping With stack().mp4 |
30.57MB |
| 18. Reshaping With stack().srt |
7.07KB |
| 18. Solution.mp4 |
45.19MB |
| 18. Solution.mp4 |
25.76MB |
| 18. Solution.srt |
9.66KB |
| 18. Solution.srt |
4.37KB |
| 18. Truth Value Of Non-booleans.mp4 |
15.92MB |
| 18. Truth Value Of Non-booleans.srt |
4.40KB |
| 180 |
955.84KB |
| 181 |
423.41KB |
| 182 |
483.19KB |
| 183 |
500.72KB |
| 184 |
501.97KB |
| 185 |
697.67KB |
| 186 |
831.40KB |
| 187 |
978.59KB |
| 188 |
152.29KB |
| 189 |
176.63KB |
| 19 |
17.06KB |
| 19. BONUS - There's Also apply().mp4 |
41.18MB |
| 19. BONUS - There's Also apply().srt |
8.51KB |
| 19. BONUS Using Callables With .loc And .iloc.mp4 |
37.14MB |
| 19. BONUS Using Callables With .loc And .iloc.srt |
10.69KB |
| 19. For Loops.mp4 |
20.57MB |
| 19. For Loops.srt |
6.75KB |
| 19. Identifying Dupes.mp4 |
60.88MB |
| 19. Identifying Dupes.srt |
12.92KB |
| 19. Is This A Valid Email.mp4 |
80.08MB |
| 19. Is This A Valid Email.srt |
18.63KB |
| 19. More Cleanup Going Numeric.mp4 |
18.63MB |
| 19. More Cleanup Going Numeric.srt |
3.91KB |
| 19. Sorting With sort_index().mp4 |
15.30MB |
| 19. Sorting With sort_index().srt |
4.01KB |
| 19. The Flipside unstack().mp4 |
45.95MB |
| 19. The Flipside unstack().srt |
7.71KB |
| 19. The join() Method.mp4 |
22.87MB |
| 19. The join() Method.srt |
3.19KB |
| 19. Upsampling And Interpolation.mp4 |
49.40MB |
| 19. Upsampling And Interpolation.srt |
11.11KB |
| 190 |
288.65KB |
| 191 |
361.38KB |
| 192 |
435.42KB |
| 193 |
620.74KB |
| 194 |
688.30KB |
| 195 |
709.23KB |
| 196 |
760.38KB |
| 197 |
806.38KB |
| 198 |
22.58KB |
| 199 |
72.13KB |
| 2 |
129B |
| 2. Data Types.mp4 |
10.16MB |
| 2. Data Types.srt |
2.97KB |
| 2. Installing Anaconda And Python - Mac.mp4 |
17.14MB |
| 2. Installing Anaconda And Python - Mac.srt |
2.56KB |
| 2. Introducing (Five) New Datasets.mp4 |
40.60MB |
| 2. Introducing (Five) New Datasets.srt |
6.58KB |
| 2. Introducing A New Dataset.mp4 |
18.30MB |
| 2. Introducing A New Dataset.srt |
4.53KB |
| 2. Introducing New Data.mp4 |
22.11MB |
| 2. Introducing New Data.srt |
6.05KB |
| 2. New Data Game Sales.mp4 |
14.89MB |
| 2. New Data Game Sales.srt |
3.81KB |
| 2. New Data New York City SAT Scores.mp4 |
26.77MB |
| 2. New Data New York City SAT Scores.srt |
5.42KB |
| 2. Our Data Boston Marathon Runners.mp4 |
23.57MB |
| 2. Our Data Boston Marathon Runners.srt |
3.72KB |
| 2. Pandas Is Not Single.mp4 |
17.81MB |
| 2. Pandas Is Not Single.srt |
2.46KB |
| 2. Reading In Data With read_csv().mp4 |
52.81MB |
| 2. Reading In Data With read_csv().srt |
10.26KB |
| 2. Reading JSON.mp4 |
19.74MB |
| 2. Reading JSON.srt |
5.59KB |
| 2. The Art Of Data Visualization.mp4 |
13.01MB |
| 2. The Art Of Data Visualization.srt |
3.61KB |
| 2. The Python datetime Module.mp4 |
40.29MB |
| 2. The Python datetime Module.srt |
12.54KB |
| 2. What Is A DataFrame.mp4 |
45.86MB |
| 2. What Is A DataFrame.srt |
12.04KB |
| 2. What Is A Series.mp4 |
12.54MB |
| 2. What Is A Series.srt |
4.80KB |
| 20 |
120.06KB |
| 20. BONUS Creating MultiLevel Columns Manually.mp4 |
58.73MB |
| 20. BONUS Creating MultiLevel Columns Manually.srt |
12.74KB |
| 20. BONUS What's The Point Of re.compile().mp4 |
18.31MB |
| 20. BONUS What's The Point Of re.compile().srt |
4.23KB |
| 20. Removing Duplicates.mp4 |
29.82MB |
| 20. Removing Duplicates.srt |
6.64KB |
| 20. Selecting With .get().mp4 |
30.55MB |
| 20. Selecting With .get().srt |
5.67KB |
| 20. Skill Challenge.mp4 |
4.05MB |
| 20. Skill Challenge.mp4 |
3.81MB |
| 20. Skill Challenge.mp4 |
3.18MB |
| 20. Skill Challenge.srt |
1.18KB |
| 20. Skill Challenge.srt |
1.39KB |
| 20. Skill Challenge.srt |
1.53KB |
| 20. The astype() Method.mp4 |
25.17MB |
| 20. The astype() Method.srt |
7.27KB |
| 20. The range() Immutable Sequence.mp4 |
23.72MB |
| 20. The range() Immutable Sequence.srt |
6.41KB |
| 20. What About asfreq().mp4 |
36.61MB |
| 20. What About asfreq().srt |
10.92KB |
| 200 |
105.79KB |
| 201 |
106.97KB |
| 2017BostonMarathonTop1000.csv |
57.55KB |
| 2017BostonMarathonTop1000 (1).csv |
57.55KB |
| 202 |
129.63KB |
| 203 |
271.15KB |
| 204 |
402.95KB |
| 205 |
499.74KB |
| 206 |
593.48KB |
| 207 |
648.49KB |
| 208 |
688.63KB |
| 209 |
915.48KB |
| 21 |
826.14KB |
| 21. An Easier Way transpose().mp4 |
18.60MB |
| 21. An Easier Way transpose().srt |
3.23KB |
| 21. BONUS Rolling Windows.mp4 |
43.49MB |
| 21. BONUS Rolling Windows.srt |
13.17KB |
| 21. DataFrame replace() + A Glimpse At Regex.mp4 |
44.28MB |
| 21. DataFrame replace() + A Glimpse At Regex.srt |
12.88KB |
| 21. Pandas str contains(), split() And replace() With Regex.mp4 |
76.29MB |
| 21. Pandas str contains(), split() And replace() With Regex.srt |
17.46KB |
| 21. Removing DataFrame Rows.mp4 |
19.78MB |
| 21. Removing DataFrame Rows.srt |
3.38KB |
| 21. Selection Recap.mp4 |
28.19MB |
| 21. Selection Recap.srt |
6.54KB |
| 21. Solution.mp4 |
46.08MB |
| 21. Solution.mp4 |
24.51MB |
| 21. Solution.mp4 |
9.91MB |
| 21. Solution.srt |
2.49KB |
| 21. Solution.srt |
8.35KB |
| 21. Solution.srt |
6.19KB |
| 21. While Loops.mp4 |
29.23MB |
| 21. While Loops.srt |
7.87KB |
| 210 |
1023.79KB |
| 211 |
31.37KB |
| 212 |
126.56KB |
| 213 |
277.14KB |
| 214 |
450.88KB |
| 215 |
493.18KB |
| 216 |
689.68KB |
| 217 |
894.02KB |
| 218 |
989.50KB |
| 219 |
205.96KB |
| 22 |
121.35KB |
| 22. BONUS - Removing Columns.mp4 |
16.19MB |
| 22. BONUS - Removing Columns.srt |
3.55KB |
| 22. BONUS - What About Panels.mp4 |
27.89MB |
| 22. BONUS - What About Panels.srt |
3.98KB |
| 22. Break And Continue.mp4 |
19.14MB |
| 22. Break And Continue.srt |
5.77KB |
| 22. Part I Collecting The Units.mp4 |
66.82MB |
| 22. Part I Collecting The Units.srt |
15.45KB |
| 22. Series Arithmetics And fill_value().mp4 |
40.20MB |
| 22. Series Arithmetics And fill_value().srt |
9.10KB |
| 22. Skill Challenge.mp4 |
6.38MB |
| 22. Skill Challenge.mp4 |
5.42MB |
| 22. Skill Challenge.mp4 |
4.65MB |
| 22. Skill Challenge.srt |
2.32KB |
| 22. Skill Challenge.srt |
1.85KB |
| 22. Skill Challenge.srt |
1.72KB |
| 220 |
299.49KB |
| 221 |
437.70KB |
| 222 |
535.28KB |
| 223 |
537.85KB |
| 224 |
603.53KB |
| 225 |
750.31KB |
| 226 |
874.74KB |
| 227 |
992.78KB |
| 228 |
105.68KB |
| 229 |
191.56KB |
| 23 |
542.51KB |
| 23. BONUS - Another Way pop().mp4 |
19.07MB |
| 23. BONUS - Another Way pop().srt |
5.25KB |
| 23. BONUS Calculating Variance And Standard Deviation.mp4 |
17.36MB |
| 23. BONUS Calculating Variance And Standard Deviation.srt |
5.20KB |
| 23. Skill Challenge.mp4 |
8.01MB |
| 23. Skill Challenge.srt |
1.90KB |
| 23. Solution.mp4 |
72.37MB |
| 23. Solution.mp4 |
23.39MB |
| 23. Solution.mp4 |
22.90MB |
| 23. Solution.srt |
14.83KB |
| 23. Solution.srt |
6.73KB |
| 23. Solution.srt |
6.51KB |
| 23. The rename() Method.mp4 |
27.59MB |
| 23. The rename() Method.srt |
8.87KB |
| 23. Zipping Iterables.mp4 |
17.19MB |
| 23. Zipping Iterables.srt |
4.33KB |
| 230 |
222.39KB |
| 231 |
265.56KB |
| 232 |
374.42KB |
| 233 |
741.47KB |
| 234 |
881.87KB |
| 235 |
899.69KB |
| 236 |
956.75KB |
| 237 |
973.87KB |
| 238 |
983.76KB |
| 239 |
383.14KB |
| 24 |
636.89KB |
| 24. BONUS - A Sophisticated Alternative.mp4 |
33.17MB |
| 24. BONUS - A Sophisticated Alternative.srt |
5.91KB |
| 24. Cumulative Operations.mp4 |
17.94MB |
| 24. Cumulative Operations.srt |
5.75KB |
| 24. DataFrame dropna().mp4 |
40.08MB |
| 24. DataFrame dropna().srt |
11.93KB |
| 24. List Comprehensions.mp4 |
31.78MB |
| 24. List Comprehensions.srt |
9.81KB |
| 24. Solution.mp4 |
49.18MB |
| 24. Solution.srt |
10.06KB |
| 240 |
413.98KB |
| 241 |
579.32KB |
| 242 |
685.18KB |
| 243 |
710.56KB |
| 244 |
717.57KB |
| 245 |
56.66KB |
| 246 |
199.39KB |
| 247 |
208.44KB |
| 248 |
395.66KB |
| 249 |
651.11KB |
| 25 |
915.25KB |
| 25. BONUS - dropna() With Subset.mp4 |
29.26MB |
| 25. BONUS - dropna() With Subset.srt |
9.04KB |
| 25. Defining Functions.mp4 |
57.77MB |
| 25. Defining Functions.srt |
13.65KB |
| 25. Null Values In DataFrames.mp4 |
42.16MB |
| 25. Null Values In DataFrames.srt |
8.23KB |
| 25. Pairwise Differences With diff().mp4 |
12.79MB |
| 25. Pairwise Differences With diff().srt |
4.32KB |
| 250 |
833.87KB |
| 251 |
877.03KB |
| 252 |
916.92KB |
| 253 |
926.74KB |
| 254 |
947.83KB |
| 255 |
33.43KB |
| 256 |
325.14KB |
| 257 |
526.20KB |
| 258 |
828.37KB |
| 259 |
950.21KB |
| 26 |
280.99KB |
| 26. Dropping And Filling DataFrame NAs.mp4 |
49.00MB |
| 26. Dropping And Filling DataFrame NAs.srt |
8.52KB |
| 26. Function Arguments Positional vs Keyword.mp4 |
30.44MB |
| 26. Function Arguments Positional vs Keyword.srt |
8.89KB |
| 26. Part II Merging Units With Column Names.mp4 |
57.28MB |
| 26. Part II Merging Units With Column Names.srt |
12.95KB |
| 26. Series Iteration.mp4 |
16.07MB |
| 26. Series Iteration.srt |
4.69KB |
| 260 |
79.85KB |
| 261 |
714.61KB |
| 262 |
108.37KB |
| 263 |
458.04KB |
| 264 |
527.62KB |
| 265 |
964.26KB |
| 266 |
995.95KB |
| 267 |
567.27KB |
| 268 |
768.64KB |
| 269 |
1008.68KB |
| 27 |
625.60KB |
| 27. BONUS - Methods And Axes With fillna().mp4 |
57.38MB |
| 27. BONUS - Methods And Axes With fillna().srt |
10.87KB |
| 27. Filtering filter(), where(), And mask().mp4 |
55.05MB |
| 27. Filtering filter(), where(), And mask().srt |
13.30KB |
| 27. Lambdas.mp4 |
23.21MB |
| 27. Lambdas.srt |
6.91KB |
| 27. Part III Removing Units From Values.mp4 |
35.62MB |
| 27. Part III Removing Units From Values.srt |
7.35KB |
| 270 |
55.07KB |
| 271 |
68.25KB |
| 272 |
216.64KB |
| 273 |
472.23KB |
| 274 |
507.68KB |
| 275 |
853.73KB |
| 276 |
301.98KB |
| 277 |
390.39KB |
| 278 |
395.15KB |
| 279 |
779.07KB |
| 28 |
233.73KB |
| 28. Filtering in 2D.mp4 |
42.35MB |
| 28. Filtering in 2D.srt |
10.45KB |
| 28. Importing Modules.mp4 |
34.15MB |
| 28. Importing Modules.srt |
7.12KB |
| 28. Skill Challenge.mp4 |
5.30MB |
| 28. Skill Challenge.srt |
1.80KB |
| 28. Transforming With update(), apply() And map().mp4 |
69.92MB |
| 28. Transforming With update(), apply() And map().srt |
14.60KB |
| 280 |
985.45KB |
| 281 |
193.88KB |
| 282 |
689.78KB |
| 283 |
822.15KB |
| 284 |
861.65KB |
| 285 |
922.39KB |
| 286 |
92.72KB |
| 287 |
303.43KB |
| 288 |
119.90KB |
| 289 |
249.03KB |
| 29 |
634.54KB |
| 29. DataFrame Sorting.mp4 |
49.42MB |
| 29. DataFrame Sorting.srt |
8.74KB |
| 29. Skill Challenge.mp4 |
10.20MB |
| 29. Skill Challenge.srt |
3.20KB |
| 29. Solution.mp4 |
42.49MB |
| 29. Solution.srt |
7.98KB |
| 290 |
948.41KB |
| 291 |
1017.40KB |
| 292 |
50.23KB |
| 293 |
292.91KB |
| 294 |
491.04KB |
| 295 |
72.19KB |
| 296 |
210.54KB |
| 297 |
635.92KB |
| 298 |
647.17KB |
| 299 |
990.57KB |
| 3 |
526B |
| 3. Anaconda.mp4 |
20.71MB |
| 3. Anaconda.srt |
3.80KB |
| 3. Concatenating DataFrames.mp4 |
42.12MB |
| 3. Concatenating DataFrames.srt |
8.80KB |
| 3. Creating A DataFrame.mp4 |
22.42MB |
| 3. Creating A DataFrame.srt |
5.49KB |
| 3. Index And RangeIndex.mp4 |
26.87MB |
| 3. Index And RangeIndex.srt |
5.09KB |
| 3. Installing Anaconda And Python - Linux.mp4 |
30.95MB |
| 3. Installing Anaconda And Python - Linux.srt |
4.49KB |
| 3. Parameters vs Arguments.mp4 |
8.07MB |
| 3. Parameters vs Arguments.srt |
3.28KB |
| 3. Parsing Dates From Text.mp4 |
52.82MB |
| 3. Parsing Dates From Text.srt |
11.63KB |
| 3. Pivoting Data.mp4 |
41.90MB |
| 3. Pivoting Data.srt |
8.46KB |
| 3. Quick Review Indexing With Boolean Masks.mp4 |
23.33MB |
| 3. Quick Review Indexing With Boolean Masks.srt |
4.26KB |
| 3. Reading HTML.mp4 |
103.72MB |
| 3. Reading HTML.srt |
16.44KB |
| 3. Series Sizing With .size, .shape, And len().mp4 |
23.26MB |
| 3. Series Sizing With .size, .shape, And len().srt |
5.44KB |
| 3. Simple Aggregations Review.mp4 |
29.02MB |
| 3. Simple Aggregations Review.srt |
6.24KB |
| 3. String Methods In Python.mp4 |
28.77MB |
| 3. String Methods In Python.srt |
8.66KB |
| 3. The Preliminaries Of matplotlib.mp4 |
62.88MB |
| 3. The Preliminaries Of matplotlib.srt |
14.36KB |
| 3. Variables.mp4 |
39.13MB |
| 3. Variables.srt |
11.14KB |
| 30 |
734.56KB |
| 30. Calculating Aggregates With agg().mp4 |
37.08MB |
| 30. Calculating Aggregates With agg().srt |
11.36KB |
| 30. Solution I - Reading Data.mp4 |
14.55MB |
| 30. Solution I - Reading Data.srt |
2.57KB |
| 30. Using Series between() With DataFrames.mp4 |
34.97MB |
| 30. Using Series between() With DataFrames.srt |
6.96KB |
| 300 |
11.73KB |
| 301 |
533.36KB |
| 302 |
591.41KB |
| 303 |
720.01KB |
| 304 |
811.23KB |
| 305 |
987.87KB |
| 306 |
357.83KB |
| 307 |
536.63KB |
| 308 |
583.90KB |
| 309 |
710.92KB |
| 31 |
1014.02KB |
| 31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4 |
62.98MB |
| 31. BONUS - Min, Max and Idx[MinMax], And Good Foods.srt |
10.48KB |
| 31. Same-shape Transforms.mp4 |
66.98MB |
| 31. Same-shape Transforms.srt |
18.13KB |
| 31. Solution II - Mean, Median, And Standard Deviation.mp4 |
20.47MB |
| 31. Solution II - Mean, Median, And Standard Deviation.srt |
4.13KB |
| 310 |
916.52KB |
| 311 |
969.05KB |
| 312 |
977.18KB |
| 313 |
38.73KB |
| 314 |
192.32KB |
| 315 |
215.89KB |
| 316 |
222.87KB |
| 317 |
788.73KB |
| 318 |
799.53KB |
| 32 |
283.14KB |
| 32. DataFrame nlargest() And nsmallest().mp4 |
35.36MB |
| 32. DataFrame nlargest() And nsmallest().srt |
7.10KB |
| 32. More Flexibility With apply().mp4 |
59.38MB |
| 32. More Flexibility With apply().srt |
16.43KB |
| 32. Solution III - Z-scores.mp4 |
48.20MB |
| 32. Solution III - Z-scores.srt |
9.62KB |
| 33 |
391.34KB |
| 33. Element-wise Operations With applymap().mp4 |
68.51MB |
| 33. Element-wise Operations With applymap().srt |
15.95KB |
| 33. Skill Challenge.mp4 |
4.31MB |
| 33. Skill Challenge.srt |
1.71KB |
| 34 |
970.83KB |
| 34. Skill Challenge.mp4 |
8.76MB |
| 34. Skill Challenge.srt |
2.61KB |
| 34. Solution.mp4 |
42.25MB |
| 34. Solution.srt |
6.53KB |
| 35 |
116.52KB |
| 35. Another Skill Challenge.mp4 |
6.79MB |
| 35. Another Skill Challenge.srt |
2.35KB |
| 35. Solution.mp4 |
26.47MB |
| 35. Solution.srt |
6.07KB |
| 36 |
768.62KB |
| 36. Setting DataFrame Values.mp4 |
43.55MB |
| 36. Setting DataFrame Values.srt |
7.81KB |
| 36. Solution.mp4 |
36.86MB |
| 36. Solution.srt |
7.36KB |
| 37 |
843.70KB |
| 37. The SettingWithCopy Warning.mp4 |
39.81MB |
| 37. The SettingWithCopy Warning.srt |
8.88KB |
| 38 |
33.05KB |
| 38. View vs Copy.mp4 |
49.30MB |
| 38. View vs Copy.srt |
10.74KB |
| 39 |
187.49KB |
| 39. Adding DataFrame Columns.mp4 |
36.47MB |
| 39. Adding DataFrame Columns.srt |
9.89KB |
| 3KeyConcepts.pdf |
62.95KB |
| 4 |
13B |
| 4. Arithmetic And Augmented Assignment Operators.mp4 |
27.46MB |
| 4. Arithmetic And Augmented Assignment Operators.srt |
8.54KB |
| 4. BONUS - Four More Ways To Build DataFrames.mp4 |
73.23MB |
| 4. BONUS - Four More Ways To Build DataFrames.srt |
17.40KB |
| 4. Conditional Aggregates.mp4 |
24.51MB |
| 4. Conditional Aggregates.srt |
6.40KB |
| 4. Creating A MultiIndex.mp4 |
20.15MB |
| 4. Creating A MultiIndex.srt |
4.62KB |
| 4. Even Better dateutil.mp4 |
23.85MB |
| 4. Even Better dateutil.srt |
5.21KB |
| 4. Jupyter Notebooks.mp4 |
48.02MB |
| 4. Jupyter Notebooks.srt |
14.00KB |
| 4. Line Graphs.mp4 |
54.18MB |
| 4. Line Graphs.srt |
13.57KB |
| 4. More Approaches To Boolean Masking.mp4 |
68.42MB |
| 4. More Approaches To Boolean Masking.srt |
11.56KB |
| 4. Reading Excel.mp4 |
55.72MB |
| 4. Reading Excel.srt |
9.81KB |
| 4. The Duplicated Index Issue.mp4 |
51.32MB |
| 4. The Duplicated Index Issue.srt |
8.72KB |
| 4. Undoing Pivots.mp4 |
27.89MB |
| 4. Undoing Pivots.srt |
6.57KB |
| 4. Unique Values And Series Monotonicity.mp4 |
17.80MB |
| 4. Unique Values And Series Monotonicity.srt |
6.17KB |
| 4. Vectorized String Operations In Pandas.mp4 |
18.43MB |
| 4. Vectorized String Operations In Pandas.srt |
4.31KB |
| 4. What’s In The Data.mp4 |
20.41MB |
| 4. What’s In The Data.srt |
6.77KB |
| 40 |
194.64KB |
| 40. Adding Rows To DataFrames.mp4 |
49.90MB |
| 40. Adding Rows To DataFrames.srt |
11.30KB |
| 41 |
693.80KB |
| 41. BONUS - How Are DataFrames Stored In Memory.mp4 |
21.73MB |
| 41. BONUS - How Are DataFrames Stored In Memory.srt |
5.05KB |
| 42 |
538.49KB |
| 42. Skill Challenge.mp4 |
5.04MB |
| 42. Skill Challenge.srt |
1.95KB |
| 43 |
638.15KB |
| 43. Solution.mp4 |
31.94MB |
| 43. Solution.srt |
7.09KB |
| 44 |
881.93KB |
| 45 |
97.40KB |
| 46 |
590.98KB |
| 47 |
611.88KB |
| 48 |
712.50KB |
| 49 |
840.12KB |
| 5 |
18B |
| 5. Bar Charts.mp4 |
50.14MB |
| 5. Bar Charts.srt |
11.91KB |
| 5. Binary Operators With Booleans.mp4 |
37.94MB |
| 5. Binary Operators With Booleans.srt |
12.19KB |
| 5. Case Operations.mp4 |
14.03MB |
| 5. Case Operations.srt |
3.64KB |
| 5. Cloud vs Local.mp4 |
26.53MB |
| 5. Cloud vs Local.srt |
7.00KB |
| 5. Creating Output The to_ Family Of Methods.mp4 |
74.01MB |
| 5. Creating Output The to_ Family Of Methods.srt |
18.51KB |
| 5. Enforcing Unique Indices.mp4 |
58.39MB |
| 5. Enforcing Unique Indices.srt |
9.05KB |
| 5. From Datetime To String.mp4 |
22.37MB |
| 5. From Datetime To String.srt |
5.93KB |
| 5. Ints And Floats.mp4 |
42.80MB |
| 5. Ints And Floats.srt |
11.38KB |
| 5. MultiIndex From read_csv().mp4 |
27.70MB |
| 5. MultiIndex From read_csv().srt |
4.83KB |
| 5. The .dtype Attribute.mp4 |
6.37MB |
| 5. The .dtype Attribute.srt |
2.54KB |
| 5. The count() Method.mp4 |
6.03MB |
| 5. The count() Method.srt |
2.82KB |
| 5. The info() Method.mp4 |
19.04MB |
| 5. The info() Method.srt |
5.25KB |
| 5. The Split-Apply-Combine Pattern.mp4 |
22.51MB |
| 5. The Split-Apply-Combine Pattern.srt |
5.06KB |
| 5. What About Aggregates.mp4 |
34.25MB |
| 5. What About Aggregates.srt |
6.66KB |
| 50 |
1020.25KB |
| 51 |
819.16KB |
| 52 |
1007.53KB |
| 53 |
296.54KB |
| 54 |
666.25KB |
| 55 |
809.08KB |
| 56 |
945.22KB |
| 57 |
55.29KB |
| 58 |
147.29KB |
| 59 |
185.87KB |
| 6 |
134B |
| 6. Accessing And Counting NAs.mp4 |
36.79MB |
| 6. Accessing And Counting NAs.srt |
10.76KB |
| 6. BONUS - Creating Multiple Indices With concat().mp4 |
28.45MB |
| 6. BONUS - Creating Multiple Indices With concat().srt |
5.32KB |
| 6. BONUS Introduction To Pickling.mp4 |
31.71MB |
| 6. BONUS Introduction To Pickling.srt |
8.01KB |
| 6. BONUS What Is dtype('o'), Really.mp4 |
10.10MB |
| 6. BONUS What Is dtype('o'), Really.srt |
3.97KB |
| 6. BONUS - XOR and Complement Binary Ops.mp4 |
50.47MB |
| 6. BONUS - XOR and Complement Binary Ops.srt |
14.33KB |
| 6. Booleans And Comparison Operators.mp4 |
21.88MB |
| 6. Booleans And Comparison Operators.srt |
6.34KB |
| 6. Finding Characters And Words.mp4 |
25.73MB |
| 6. Finding Characters And Words.srt |
7.65KB |
| 6. Hello, Python.mp4 |
32.79MB |
| 6. Hello, Python.srt |
5.25KB |
| 6. Indexing Hierarchical DataFrames.mp4 |
39.39MB |
| 6. Indexing Hierarchical DataFrames.srt |
10.21KB |
| 6. Performant Datetimes With Numpy.mp4 |
35.33MB |
| 6. Performant Datetimes With Numpy.srt |
10.30KB |
| 6. Pie Plots.mp4 |
54.89MB |
| 6. Pie Plots.srt |
12.01KB |
| 6. Reading In Nutrition Data.mp4 |
27.29MB |
| 6. Reading In Nutrition Data.srt |
4.59KB |
| 6. The groupby() Method.mp4 |
21.56MB |
| 6. The groupby() Method.srt |
5.52KB |
| 6. The pivot_table().mp4 |
33.66MB |
| 6. The pivot_table().srt |
6.96KB |
| 60 |
224.49KB |
| 61 |
442.24KB |
| 62 |
826.13KB |
| 63 |
1001.24KB |
| 64 |
202.97KB |
| 65 |
738.72KB |
| 66 |
881.82KB |
| 67 |
459.30KB |
| 68 |
521.21KB |
| 69 |
60.05KB |
| 7 |
251.88KB |
| 7. BONUS Another Approach.mp4 |
21.33MB |
| 7. BONUS Another Approach.srt |
5.70KB |
| 7. BONUS The Problem With Average Percentage.mp4 |
36.16MB |
| 7. BONUS The Problem With Average Percentage.srt |
8.55KB |
| 7. Column Axis Concatenation.mp4 |
27.09MB |
| 7. Column Axis Concatenation.srt |
5.25KB |
| 7. Combining Conditions.mp4 |
45.57MB |
| 7. Combining Conditions.srt |
8.38KB |
| 7. Histograms.mp4 |
45.78MB |
| 7. Histograms.srt |
11.43KB |
| 7. Index And RangeIndex.mp4 |
33.16MB |
| 7. Index And RangeIndex.srt |
8.49KB |
| 7. Indexing Ranges And Slices.mp4 |
59.11MB |
| 7. Indexing Ranges And Slices.srt |
14.87KB |
| 7. NumPy.mp4 |
62.19MB |
| 7. NumPy.srt |
14.34KB |
| 7. Pickles In Pandas.mp4 |
22.93MB |
| 7. Pickles In Pandas.srt |
5.98KB |
| 7. Some Cleanup Removing The Duplicated Index.mp4 |
35.62MB |
| 7. Some Cleanup Removing The Duplicated Index.srt |
6.53KB |
| 7. Strings.mp4 |
32.13MB |
| 7. Strings.srt |
10.25KB |
| 7. Strips And Whitespace.mp4 |
31.73MB |
| 7. Strips And Whitespace.srt |
8.27KB |
| 7. The DataFrameGroupBy Object.mp4 |
19.81MB |
| 7. The DataFrameGroupBy Object.srt |
4.43KB |
| 7. The Pandas Timestamp.mp4 |
24.04MB |
| 7. The Pandas Timestamp.srt |
6.15KB |
| 70 |
203.56KB |
| 71 |
522.76KB |
| 72 |
668.49KB |
| 73 |
764.64KB |
| 74 |
860.35KB |
| 75 |
896.52KB |
| 76 |
101.76KB |
| 77 |
225.68KB |
| 78 |
343.88KB |
| 79 |
837.83KB |
| 8 |
83.41KB |
| 8. BONUS - Use With pd.IndexSlice!.mp4 |
16.97MB |
| 8. BONUS - Use With pd.IndexSlice!.srt |
4.88KB |
| 8. Conditions As Variables.mp4 |
19.90MB |
| 8. Conditions As Variables.srt |
5.27KB |
| 8. Customizing Index To Group Mappings.mp4 |
20.48MB |
| 8. Customizing Index To Group Mappings.srt |
4.63KB |
| 8. Methods.mp4 |
25.33MB |
| 8. Methods.srt |
8.42KB |
| 8. Our Dataset Brent Prices.mp4 |
29.43MB |
| 8. Our Dataset Brent Prices.srt |
5.66KB |
| 8. Replicating Pivot Tables With GroupBy.mp4 |
12.50MB |
| 8. Replicating Pivot Tables With GroupBy.srt |
2.92KB |
| 8. Scatter Plots.mp4 |
63.39MB |
| 8. Scatter Plots.srt |
12.21KB |
| 8. Series And Index Names.mp4 |
19.12MB |
| 8. Series And Index Names.srt |
6.23KB |
| 8. String Splitting And Concatenation.mp4 |
46.35MB |
| 8. String Splitting And Concatenation.srt |
10.81KB |
| 8. The append() Method A Special Case Of concat().mp4 |
14.48MB |
| 8. The append() Method A Special Case Of concat().srt |
3.12KB |
| 8. The Many Other Formats.mp4 |
27.91MB |
| 8. The Many Other Formats.srt |
4.82KB |
| 8. The Other Side notnull() And notna().mp4 |
11.04MB |
| 8. The Other Side notnull() And notna().srt |
3.24KB |
| 8. The sample() Method.mp4 |
22.61MB |
| 8. The sample() Method.srt |
4.82KB |
| 80 |
412.57KB |
| 81 |
534.24KB |
| 82 |
726.52KB |
| 83 |
821.74KB |
| 84 |
938.96KB |
| 85 |
942.37KB |
| 86 |
985.10KB |
| 87 |
1006.96KB |
| 88 |
194.39KB |
| 89 |
621.95KB |
| 9 |
503.69KB |
| 9. Adding Margins.mp4 |
24.59MB |
| 9. Adding Margins.srt |
5.54KB |
| 9. BONUS Booleans Are Literally Numbers In Python.mp4 |
11.62MB |
| 9. BONUS Booleans Are Literally Numbers In Python.srt |
3.83KB |
| 9. BONUS - Sampling With Replacement Or Weights.mp4 |
40.48MB |
| 9. BONUS - Sampling With Replacement Or Weights.srt |
8.92KB |
| 9. BONUS - Series groupby().mp4 |
20.80MB |
| 9. BONUS - Series groupby().srt |
5.70KB |
| 9. Concat On Different Columns.mp4 |
38.21MB |
| 9. Concat On Different Columns.srt |
5.87KB |
| 9. Containers I Lists.mp4 |
29.49MB |
| 9. Containers I Lists.srt |
7.82KB |
| 9. Cross Sections With xs().mp4 |
33.15MB |
| 9. Cross Sections With xs().srt |
6.88KB |
| 9. Date Parsing And DatetimeIndex.mp4 |
24.53MB |
| 9. Date Parsing And DatetimeIndex.srt |
6.37KB |
| 9. More Split Parameters.mp4 |
40.08MB |
| 9. More Split Parameters.srt |
9.78KB |
| 9. Other Visualization Options.mp4 |
63.65MB |
| 9. Other Visualization Options.srt |
10.15KB |
| 9. Skill Challenge.mp4 |
11.71MB |
| 9. Skill Challenge.mp4 |
7.71MB |
| 9. Skill Challenge.mp4 |
3.96MB |
| 9. Skill Challenge.srt |
2.80KB |
| 9. Skill Challenge.srt |
1.49KB |
| 9. Skill Challenge.srt |
3.50KB |
| 90 |
889.83KB |
| 91 |
209.96KB |
| 92 |
476.93KB |
| 93 |
812.05KB |
| 94 |
872.75KB |
| 95 |
874.73KB |
| 96 |
59.56KB |
| 97 |
82.75KB |
| 98 |
306.89KB |
| 99 |
881.84KB |
| Appendix_A_Rapid_Fire_Python_Fundamentals.ipynb.zip |
25.62KB |
| AppendVsConcat.pdf |
49.39KB |
| ArgsVParams.pdf |
18.44KB |
| AtAndIat.pdf |
30.60KB |
| BinaryOperators.pdf |
24.41KB |
| BooleanMasks.pdf |
43.95KB |
| BoolsAsInts.pdf |
37.47KB |
| BrentOilPrices.csv |
78.79KB |
| BrentOilPrices (1).csv |
78.79KB |
| Comparators.pdf |
28.72KB |
| ConcatVsMerge.pdf |
62.67KB |
| Data_Formats_And_I_O.ipynb.zip |
23.64KB |
| DataFrames_In_Depth.zip |
59.45KB |
| Diff.pdf |
42.49KB |
| drinks.csv |
4.08KB |
| drinks (1).csv |
4.08KB |
| drinks (2).csv |
4.08KB |
| DropnaWithSubset.pdf |
58.79KB |
| DroppingAndFillingNA.pdf |
56.53KB |
| Duplicates.pdf |
24.33KB |
| eng.csv |
1.54KB |
| folks.json |
244B |
| folks.xlsx |
9.46KB |
| games_sales.csv |
236.89KB |
| games_sales (1).csv |
236.89KB |
| games_sales (2).csv |
236.89KB |
| Going_MultiDimensional.zip |
41.94KB |
| GroupBy_And_Aggregates.ipynb.zip |
22.42KB |
| Handling_Time_And_Date.ipynb.zip |
104.69KB |
| IdxminIdxmax.pdf |
40.10KB |
| IndexingWithCallables.pdf |
29.14KB |
| InnerVsOuter.pdf |
43.74KB |
| ivies.csv |
548B |
| JoinCardinalities.pdf |
35.34KB |
| LeftVsRight.pdf |
40.79KB |
| liberal_arts.csv |
2.86KB |
| Lookup.pdf |
49.69KB |
| Median.pdf |
32.48KB |
| MemoryLayout.pdf |
246.34KB |
| MethodsVAttribtues.pdf |
32.46KB |
| mid_career_salaries.csv |
22.70KB |
| MoreWaysToBuildDataframes.pdf |
29.06KB |
| MultiIndexInternals.pdf |
110.75KB |
| nutrition.csv |
4.43MB |
| OurProcess.pdf |
32.60KB |
| portfolio.zip |
1.42KB |
| RangeVSInt64Index.pdf |
37.82KB |
| Regex_And_Text_Manipulation.ipynb.zip |
29.78KB |
| regions.csv |
10.96KB |
| Reshaping_With_Pivots.ipynb.zip |
17.15KB |
| scores.csv |
74.66KB |
| scores (1).csv |
74.66KB |
| SelectionRecap.pdf |
111.35KB |
| SelectionTerminology.pdf |
66.73KB |
| SeqVsVectorizedOperations.pdf |
41.48KB |
| Series_At_Glance.zip |
13.61KB |
| Series_Methods_And_Handling.zip |
31.84KB |
| SeriesAccounting.pdf |
42.00KB |
| SeriesAtGlance.pdf |
42.95KB |
| SizeAndShape.pdf |
42.28KB |
| soccer.csv |
33.66KB |
| SortValueOrIndex.pdf |
44.25KB |
| SplitApplyCombine.pdf |
114.77KB |
| state.csv |
11.64KB |
| tech_giants.csv |
467.20KB |
| tech_giants (1).csv |
467.20KB |
| Transforms.pdf |
47.34KB |
| TutsNode.com.txt |
63B |
| TwosComplement.pdf |
60.46KB |
| ValueCounts.pdf |
35.96KB |
| Variance.pdf |
38.00KB |
| Vectorization.pdf |
115.32KB |
| ViewVsCopy.pdf |
53.33KB |
| ViewVsCopyHowDoWeTell.pdf |
27.14KB |
| Visualizing_Data.ipynb.zip |
500.75KB |
| WhatIsASeries.pdf |
74.84KB |
| WhatIsCSV.pdf |
62.63KB |
| WhatIsDtype.pdf |
110.92KB |
| WhatsInTheData.pdf |
19.19KB |
| Working_With_DataFrames.zip |
105.51KB |
| Working_With_Multiple_DataFrames.zip |
27.38KB |