The Ultimate Pandas Bootcamp Advanced Python Data Analysis | 38A0EA20795B306EA70E5CABA5459F3DF138916E

The Ultimate Pandas Bootcamp Advanced Python Data Analysis

Name	The Ultimate Pandas Bootcamp Advanced Python Data Analysis	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	10.5 GB
Total Files	1042
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Hash	38A0EA20795B306EA70E5CABA5459F3DF138916E

/.../13. Data Formats And IO/
3. Reading HTML.mp4	108.8 MB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/Sources/
MemoryLayout.pdf	252.2 KB
Variance.pdf	38.9 KB
Visualizing_Data.ipynb.zip	512.8 KB
tech_giants (1).csv	478.4 KB
ViewVsCopy.pdf	54.6 KB
tech_giants.csv	478.4 KB
games_sales (1).csv	242.6 KB
Vectorization.pdf	118.1 KB
SplitApplyCombine.pdf	117.5 KB
games_sales (2).csv	242.6 KB
games_sales.csv	242.6 KB
SelectionRecap.pdf	114.0 KB
WhatIsDtype.pdf	113.6 KB
MultiIndexInternals.pdf	113.4 KB
Working_With_DataFrames.zip	108.0 KB
Handling_Time_And_Date.ipynb.zip	107.2 KB
BrentOilPrices (1).csv	80.7 KB
BrentOilPrices.csv	80.7 KB
WhatIsASeries.pdf	76.6 KB
scores (1).csv	76.5 KB
scores.csv	76.5 KB
SelectionTerminology.pdf	68.3 KB
3KeyConcepts.pdf	64.5 KB
ConcatVsMerge.pdf	64.2 KB
WhatIsCSV.pdf	64.1 KB
TwosComplement.pdf	61.9 KB
mid_career_salaries.csv	23.2 KB
folks.json	0.2 KB
DataFrames_In_Depth.zip	60.9 KB
DropnaWithSubset.pdf	60.2 KB
2017BostonMarathonTop1000 (1).csv	58.9 KB
2017BostonMarathonTop1000.csv	58.9 KB
DroppingAndFillingNA.pdf	57.9 KB
Lookup.pdf	50.9 KB
AppendVsConcat.pdf	50.6 KB
Transforms.pdf	48.5 KB
SortValueOrIndex.pdf	45.3 KB
BooleanMasks.pdf	45.0 KB
InnerVsOuter.pdf	44.8 KB
SeriesAtGlance.pdf	44.0 KB
Diff.pdf	43.5 KB
SizeAndShape.pdf	43.3 KB
SeriesAccounting.pdf	43.0 KB
Going_MultiDimensional.zip	42.9 KB
SeqVsVectorizedOperations.pdf	42.5 KB
LeftVsRight.pdf	41.8 KB
IdxminIdxmax.pdf	41.1 KB
RangeVSInt64Index.pdf	38.7 KB
BoolsAsInts.pdf	38.4 KB
ValueCounts.pdf	36.8 KB
JoinCardinalities.pdf	36.2 KB
soccer.csv	34.5 KB
OurProcess.pdf	33.4 KB
Median.pdf	33.3 KB
MethodsVAttribtues.pdf	33.2 KB
Series_Methods_And_Handling.zip	32.6 KB
AtAndIat.pdf	31.3 KB
Regex_And_Text_Manipulation.ipynb.zip	30.5 KB
IndexingWithCallables.pdf	29.8 KB
MoreWaysToBuildDataframes.pdf	29.8 KB
Comparators.pdf	29.4 KB
Working_With_Multiple_DataFrames.zip	28.0 KB
ViewVsCopyHowDoWeTell.pdf	27.8 KB
Appendix_A_Rapid_Fire_Python_Fundamentals.ipynb.zip	26.2 KB
BinaryOperators.pdf	25.0 KB
Duplicates.pdf	24.9 KB
Data_Formats_And_I_O.ipynb.zip	24.2 KB
GroupBy_And_Aggregates.ipynb.zip	23.0 KB
WhatsInTheData.pdf	19.7 KB
ArgsVParams.pdf	18.9 KB
Reshaping_With_Pivots.ipynb.zip	17.6 KB
Series_At_Glance.zip	13.9 KB
state.csv	11.9 KB
regions.csv	11.2 KB
folks.xlsx	9.7 KB
drinks (1).csv	4.2 KB
drinks (2).csv	4.2 KB
drinks.csv	4.2 KB
liberal_arts.csv	2.9 KB
eng.csv	1.6 KB
portfolio.zip	1.4 KB
ivies.csv	0.5 KB
nutrition.csv	4.6 MB
/1. Introduction/
1. Course Structure.srt	1.8 KB
2. Pandas Is Not Single.srt	2.5 KB
7. NumPy.srt	14.7 KB
4. Jupyter Notebooks.srt	14.3 KB
5. Cloud vs Local.srt	7.2 KB
6. Hello, Python.srt	5.4 KB
3. Anaconda.srt	3.9 KB
7. NumPy.mp4	65.2 MB
4. Jupyter Notebooks.mp4	50.3 MB
6. Hello, Python.mp4	34.4 MB
5. Cloud vs Local.mp4	27.8 MB
3. Anaconda.mp4	21.7 MB
2. Pandas Is Not Single.mp4	18.7 MB
1. Course Structure.mp4	14.7 MB
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/.../11. Regex And Text Manipulation/
19. Is This A Valid Email.mp4	84.0 MB
21. Pandas str contains(), split() And replace() With Regex.mp4	80.0 MB
16. Introduction To Regular Expressions.mp4	78.7 MB
19. Is This A Valid Email.srt	19.1 KB
21. Pandas str contains(), split() And replace() With Regex.srt	17.9 KB
16. Introduction To Regular Expressions.srt	16.7 KB
23. Solution.srt	15.2 KB
18. How To Approach Regex.srt	13.6 KB
14. BONUS Parsing Indicators With get_dummies().srt	12.9 KB
17. More Regex Concepts.srt	12.7 KB
8. String Splitting And Concatenation.srt	11.1 KB
9. More Split Parameters.srt	10.0 KB
15. Text Replacement.srt	9.3 KB
3. String Methods In Python.srt	8.9 KB
23. Solution.mp4	75.9 MB
7. Strips And Whitespace.srt	8.5 KB
13. Masking With String Methods.srt	8.4 KB
6. Finding Characters And Words.srt	7.8 KB
12. Slicing Substrings.srt	7.2 KB
11. Solution.srt	5.0 KB
4. Vectorized String Operations In Pandas.srt	4.4 KB
20. BONUS What's The Point Of re.compile().srt	4.3 KB
2. Our Data Boston Marathon Runners.srt	3.8 KB
5. Case Operations.srt	3.7 KB
1. Section Intro.srt	2.3 KB
22. Skill Challenge.srt	1.9 KB
10. Skill Challenge.srt	1.4 KB
14. BONUS Parsing Indicators With get_dummies().mp4	69.5 MB
17. More Regex Concepts.mp4	68.3 MB
18. How To Approach Regex.mp4	66.6 MB
8. String Splitting And Concatenation.mp4	48.6 MB
15. Text Replacement.mp4	43.8 MB
9. More Split Parameters.mp4	42.0 MB
13. Masking With String Methods.mp4	38.7 MB
7. Strips And Whitespace.mp4	33.3 MB
3. String Methods In Python.mp4	30.2 MB
6. Finding Characters And Words.mp4	27.0 MB
12. Slicing Substrings.mp4	25.4 MB
2. Our Data Boston Marathon Runners.mp4	24.7 MB
11. Solution.mp4	23.0 MB
4. Vectorized String Operations In Pandas.mp4	19.3 MB
20. BONUS What's The Point Of re.compile().mp4	19.2 MB
1. Section Intro.mp4	17.5 MB
5. Case Operations.mp4	14.7 MB
22. Skill Challenge.mp4	5.7 MB
10. Skill Challenge.mp4	3.4 MB
/.../9. Reshaping With Pivots/
9. Adding Margins.srt	5.7 KB
8. Replicating Pivot Tables With GroupBy.srt	3.0 KB
7. BONUS The Problem With Average Percentage.srt	8.8 KB
3. Pivoting Data.srt	8.7 KB
6. The pivot_table().srt	7.1 KB
5. What About Aggregates.srt	6.8 KB
4. Undoing Pivots.srt	6.7 KB
13. Solution.srt	6.6 KB
2. New Data New York City SAT Scores.srt	5.5 KB
11. Applying Multiple Functions.srt	4.9 KB
10. MultiIndex Pivot Tables.srt	3.7 KB
12. Skill Challenge.srt	1.6 KB
1. Section Intro.srt	1.6 KB
3. Pivoting Data.mp4	43.9 MB
13. Solution.mp4	38.4 MB
7. BONUS The Problem With Average Percentage.mp4	37.9 MB
5. What About Aggregates.mp4	35.9 MB
6. The pivot_table().mp4	35.3 MB
4. Undoing Pivots.mp4	29.2 MB
2. New Data New York City SAT Scores.mp4	28.1 MB
9. Adding Margins.mp4	25.8 MB
1. Section Intro.mp4	25.0 MB
10. MultiIndex Pivot Tables.mp4	20.0 MB
11. Applying Multiple Functions.mp4	19.2 MB
8. Replicating Pivot Tables With GroupBy.mp4	13.1 MB
12. Skill Challenge.mp4	5.7 MB
/.../2. Series At A Glance/
1. Section Intro.srt	1.4 KB
5. The .dtype Attribute.srt	2.6 KB
9. Skill Challenge.srt	2.9 KB
22. Skill Challenge.srt	2.4 KB
19. BONUS Using Callables With .loc And .iloc.srt	10.9 KB
17. Boolean Masks And The .loc Indexer.srt	10.5 KB
13. Extracting By Index Position.srt	8.8 KB
7. Index And RangeIndex.srt	8.7 KB
14. Accessing Elements By Label.srt	8.1 KB
4. What’s In The Data.srt	6.9 KB
21. Selection Recap.srt	6.7 KB
23. Solution.srt	6.7 KB
8. Series And Index Names.srt	6.4 KB
12. The head() And tail() Methods.srt	6.3 KB
20. Selecting With .get().srt	5.8 KB
2. What Is A Series.srt	4.9 KB
10. Solution.srt	4.9 KB
16. Using Dot Notation.srt	4.6 KB
18. Extracting By Position With .iloc.srt	4.5 KB
15. BONUS The add_prefix() And add_suffix() Methods.srt	4.1 KB
6. BONUS What Is dtype('o'), Really.srt	4.1 KB
11. Another Solution.srt	3.7 KB
3. Parameters vs Arguments.srt	3.4 KB
19. BONUS Using Callables With .loc And .iloc.mp4	38.9 MB
7. Index And RangeIndex.mp4	34.8 MB
20. Selecting With .get().mp4	32.0 MB
17. Boolean Masks And The .loc Indexer.mp4	30.9 MB
13. Extracting By Index Position.mp4	30.5 MB
21. Selection Recap.mp4	29.6 MB
14. Accessing Elements By Label.mp4	28.4 MB
23. Solution.mp4	24.5 MB
12. The head() And tail() Methods.mp4	24.1 MB
10. Solution.mp4	24.0 MB
4. What’s In The Data.mp4	21.4 MB
8. Series And Index Names.mp4	20.1 MB
15. BONUS The add_prefix() And add_suffix() Methods.mp4	17.3 MB
16. Using Dot Notation.mp4	13.9 MB
2. What Is A Series.mp4	13.1 MB
18. Extracting By Position With .iloc.mp4	12.2 MB
11. Another Solution.mp4	11.8 MB
6. BONUS What Is dtype('o'), Really.mp4	10.6 MB
3. Parameters vs Arguments.mp4	8.5 MB
9. Skill Challenge.mp4	8.1 MB
1. Section Intro.mp4	7.3 MB
22. Skill Challenge.mp4	6.7 MB
5. The .dtype Attribute.mp4	6.7 MB
/.../6. Working With Multiple DataFrames/
8. The append() Method A Special Case Of concat().srt	3.2 KB
11. Solution.srt	13.4 KB
16. One-to-One and One-to-Many Joins.srt	10.6 KB
17. Many-to-Many Joins.srt	9.5 KB
5. Enforcing Unique Indices.srt	9.3 KB
3. Concatenating DataFrames.srt	9.0 KB
4. The Duplicated Index Issue.srt	8.9 KB
21. Solution.srt	8.5 KB
12. The merge() Method.srt	6.9 KB
2. Introducing (Five) New Datasets.srt	6.7 KB
14. Inner vs Outer Joins.srt	6.5 KB
1. Section Intro.srt	1.6 KB
18. Merging By Index.srt	6.3 KB
9. Concat On Different Columns.srt	6.0 KB
10. Skill Challenge.srt	2.1 KB
6. BONUS - Creating Multiple Indices With concat().srt	5.4 KB
20. Skill Challenge.srt	1.4 KB
7. Column Axis Concatenation.srt	5.4 KB
13. The left_on And right_on Params.srt	5.3 KB
15. Left vs Right Joins.srt	4.5 KB
19. The join() Method.srt	3.3 KB
11. Solution.mp4	62.4 MB
5. Enforcing Unique Indices.mp4	61.2 MB
16. One-to-One and One-to-Many Joins.mp4	59.8 MB
17. Many-to-Many Joins.mp4	58.3 MB
4. The Duplicated Index Issue.mp4	53.8 MB
21. Solution.mp4	48.3 MB
3. Concatenating DataFrames.mp4	44.2 MB
2. Introducing (Five) New Datasets.mp4	42.6 MB
9. Concat On Different Columns.mp4	40.1 MB
18. Merging By Index.mp4	40.0 MB
12. The merge() Method.mp4	37.1 MB
13. The left_on And right_on Params.mp4	33.8 MB
6. BONUS - Creating Multiple Indices With concat().mp4	29.8 MB
14. Inner vs Outer Joins.mp4	28.4 MB
7. Column Axis Concatenation.mp4	28.4 MB
19. The join() Method.mp4	24.0 MB
15. Left vs Right Joins.mp4	21.3 MB
8. The append() Method A Special Case Of concat().mp4	15.2 MB
1. Section Intro.mp4	8.3 MB
10. Skill Challenge.mp4	6.3 MB
20. Skill Challenge.mp4	4.0 MB
/.../3. Series Methods And Handling/
1. Section Intro.srt	2.4 KB
5. The count() Method.srt	2.9 KB
10. Skill Challenge.srt	1.5 KB
14. The describe() Method.srt	2.6 KB
20. Skill Challenge.srt	1.2 KB
21. Solution.srt	2.5 KB
28. Transforming With update(), apply() And map().srt	15.0 KB
27. Filtering filter(), where(), And mask().srt	13.6 KB
30. Solution I - Reading Data.srt	2.6 KB
9. BONUS Booleans Are Literally Numbers In Python.srt	3.9 KB
6. Accessing And Counting NAs.srt	11.0 KB
2. Reading In Data With read_csv().srt	10.5 KB
32. Solution III - Z-scores.srt	9.9 KB
13. Descriptive Statistics.srt	9.4 KB
22. Series Arithmetics And fill_value().srt	9.3 KB
15. mode() And value_counts().srt	8.3 KB
16. idxmax() And idxmin().srt	6.6 KB
4. Unique Values And Series Monotonicity.srt	6.3 KB
24. Cumulative Operations.srt	5.9 KB
7. BONUS Another Approach.srt	5.8 KB
17. Sorting With sort_values().srt	5.8 KB
3. Series Sizing With .size, .shape, And len().srt	5.6 KB
23. BONUS Calculating Variance And Standard Deviation.srt	5.3 KB
12. Dropping And Filling NAs.srt	5.3 KB
26. Series Iteration.srt	4.8 KB
25. Pairwise Differences With diff().srt	4.4 KB
31. Solution II - Mean, Median, And Standard Deviation.srt	4.2 KB
19. Sorting With sort_index().srt	4.1 KB
11. Solution.srt	3.8 KB
18. nlargest() And nsmallest().srt	3.3 KB
8. The Other Side notnull() And notna().srt	3.3 KB
29. Skill Challenge.srt	3.3 KB
28. Transforming With update(), apply() And map().mp4	73.3 MB
27. Filtering filter(), where(), And mask().mp4	57.7 MB
2. Reading In Data With read_csv().mp4	55.4 MB
32. Solution III - Z-scores.mp4	50.5 MB
22. Series Arithmetics And fill_value().mp4	42.2 MB
6. Accessing And Counting NAs.mp4	38.6 MB
13. Descriptive Statistics.mp4	35.3 MB
15. mode() And value_counts().mp4	33.3 MB
3. Series Sizing With .size, .shape, And len().mp4	24.4 MB
16. idxmax() And idxmin().mp4	23.1 MB
12. Dropping And Filling NAs.mp4	22.6 MB
7. BONUS Another Approach.mp4	22.4 MB
31. Solution II - Mean, Median, And Standard Deviation.mp4	21.5 MB
17. Sorting With sort_values().mp4	20.6 MB
24. Cumulative Operations.mp4	18.8 MB
4. Unique Values And Series Monotonicity.mp4	18.7 MB
23. BONUS Calculating Variance And Standard Deviation.mp4	18.2 MB
26. Series Iteration.mp4	16.9 MB
19. Sorting With sort_index().mp4	16.0 MB
30. Solution I - Reading Data.mp4	15.3 MB
11. Solution.mp4	14.1 MB
1. Section Intro.mp4	13.6 MB
25. Pairwise Differences With diff().mp4	13.4 MB
18. nlargest() And nsmallest().mp4	12.8 MB
9. BONUS Booleans Are Literally Numbers In Python.mp4	12.2 MB
8. The Other Side notnull() And notna().mp4	11.6 MB
29. Skill Challenge.mp4	10.7 MB
21. Solution.mp4	10.4 MB
14. The describe() Method.mp4	10.2 MB
5. The count() Method.mp4	6.3 MB
10. Skill Challenge.mp4	4.2 MB
20. Skill Challenge.mp4	3.3 MB
/.../13. Data Formats And IO/
3. Reading HTML.srt	16.8 KB
5. Creating Output The to_ Family Of Methods.mp4	77.6 MB
5. Creating Output The to_ Family Of Methods.srt	19.0 KB
4. Reading Excel.srt	10.0 KB
10. Solution.srt	9.0 KB
6. BONUS Introduction To Pickling.srt	8.2 KB
7. Pickles In Pandas.srt	6.1 KB
2. Reading JSON.srt	5.7 KB
8. The Many Other Formats.srt	4.9 KB
9. Skill Challenge.srt	3.6 KB
1. Section Intro.srt	1.1 KB
4. Reading Excel.mp4	58.4 MB
10. Solution.mp4	48.0 MB
6. BONUS Introduction To Pickling.mp4	33.3 MB
8. The Many Other Formats.mp4	29.3 MB
7. Pickles In Pandas.mp4	24.0 MB
2. Reading JSON.mp4	20.7 MB
9. Skill Challenge.mp4	12.3 MB
1. Section Intro.mp4	5.5 MB
/.../5. DataFrames In Depth/
31. Same-shape Transforms.srt	18.6 KB
32. More Flexibility With apply().srt	16.8 KB
33. Element-wise Operations With applymap().srt	16.3 KB
14. Sorting vs. Reordering.srt	14.8 KB
6. BONUS - XOR and Complement Binary Ops.srt	14.7 KB
19. Identifying Dupes.srt	13.2 KB
5. Binary Operators With Booleans.srt	12.5 KB
4. More Approaches To Boolean Masking.srt	11.8 KB
11. 2d Indexing.srt	11.6 KB
30. Calculating Aggregates With agg().srt	11.6 KB
40. Adding Rows To DataFrames.srt	11.6 KB
27. BONUS - Methods And Axes With fillna().srt	11.1 KB
38. View vs Copy.srt	11.0 KB
39. Adding DataFrame Columns.srt	10.1 KB
12. Fancy Indexing With lookup().srt	9.9 KB
37. The SettingWithCopy Warning.srt	9.1 KB
26. Dropping And Filling DataFrame NAs.srt	8.7 KB
9. Skill Challenge.srt	1.5 KB
7. Combining Conditions.srt	8.6 KB
25. Null Values In DataFrames.srt	8.4 KB
15. BONUS - Another Way.srt	2.7 KB
29. Solution.srt	8.2 KB
17. Skill Challenge.srt	1.5 KB
36. Setting DataFrame Values.srt	8.0 KB
13. Sorting By Index Or Column.srt	7.8 KB
10. Solution.srt	7.7 KB
43. Solution.srt	7.3 KB
28. Skill Challenge.srt	1.8 KB
34. Skill Challenge.srt	2.7 KB
20. Removing Duplicates.srt	6.8 KB
42. Skill Challenge.srt	2.0 KB
35. Solution.srt	6.2 KB
24. BONUS - A Sophisticated Alternative.srt	6.1 KB
8. Conditions As Variables.srt	5.4 KB
23. BONUS - Another Way pop().srt	5.4 KB
41. BONUS - How Are DataFrames Stored In Memory.srt	5.2 KB
2. Introducing A New Dataset.srt	4.6 KB
18. Solution.srt	4.5 KB
16. 15. BONUS - Please Avoid Sorting Like This.srt	4.4 KB
3. Quick Review Indexing With Boolean Masks.srt	4.4 KB
22. BONUS - Removing Columns.srt	3.6 KB
21. Removing DataFrame Rows.srt	3.5 KB
1. Section Intro.srt	3.1 KB
33. Element-wise Operations With applymap().mp4	71.8 MB
4. More Approaches To Boolean Masking.mp4	71.7 MB
31. Same-shape Transforms.mp4	70.2 MB
14. Sorting vs. Reordering.mp4	68.4 MB
19. Identifying Dupes.mp4	63.8 MB
32. More Flexibility With apply().mp4	62.3 MB
27. BONUS - Methods And Axes With fillna().mp4	60.2 MB
6. BONUS - XOR and Complement Binary Ops.mp4	52.9 MB
40. Adding Rows To DataFrames.mp4	52.3 MB
38. View vs Copy.mp4	51.7 MB
26. Dropping And Filling DataFrame NAs.mp4	51.4 MB
12. Fancy Indexing With lookup().mp4	48.5 MB
7. Combining Conditions.mp4	47.8 MB
13. Sorting By Index Or Column.mp4	47.2 MB
36. Setting DataFrame Values.mp4	45.7 MB
29. Solution.mp4	44.6 MB
25. Null Values In DataFrames.mp4	44.2 MB
10. Solution.mp4	42.0 MB
11. 2d Indexing.mp4	42.0 MB
37. The SettingWithCopy Warning.mp4	41.7 MB
5. Binary Operators With Booleans.mp4	39.8 MB
30. Calculating Aggregates With agg().mp4	38.9 MB
39. Adding DataFrame Columns.mp4	38.2 MB
24. BONUS - A Sophisticated Alternative.mp4	34.8 MB
43. Solution.mp4	33.5 MB
20. Removing Duplicates.mp4	31.3 MB
35. Solution.mp4	27.8 MB
18. Solution.mp4	27.0 MB
3. Quick Review Indexing With Boolean Masks.mp4	24.5 MB
41. BONUS - How Are DataFrames Stored In Memory.mp4	22.8 MB
1. Section Intro.mp4	22.2 MB
8. Conditions As Variables.mp4	20.9 MB
21. Removing DataFrame Rows.mp4	20.7 MB
23. BONUS - Another Way pop().mp4	20.0 MB
2. Introducing A New Dataset.mp4	19.2 MB
16. 15. BONUS - Please Avoid Sorting Like This.mp4	17.9 MB
22. BONUS - Removing Columns.mp4	17.0 MB
15. BONUS - Another Way.mp4	13.6 MB
34. Skill Challenge.mp4	9.2 MB
28. Skill Challenge.mp4	5.6 MB
42. Skill Challenge.mp4	5.3 MB
17. Skill Challenge.mp4	4.7 MB
9. Skill Challenge.mp4	4.2 MB
/.../4. Working With DataFrames/
4. BONUS - Four More Ways To Build DataFrames.srt	17.8 KB
22. Part I Collecting The Units.srt	15.8 KB
26. Part II Merging Units With Column Names.srt	13.3 KB
4. BONUS - Four More Ways To Build DataFrames.mp4	76.8 MB
1. Section Intro.srt	2.3 KB
21. DataFrame replace() + A Glimpse At Regex.srt	13.2 KB
2. What Is A DataFrame.srt	12.3 KB
24. DataFrame dropna().srt	12.2 KB
17. Skill Challenge.srt	1.8 KB
31. BONUS - Min, Max and Idx[MinMax], And Good Foods.srt	10.7 KB
28. Filtering in 2D.srt	10.7 KB
18. Solution.srt	9.9 KB
14. DataFrame Extraction by Position.srt	9.9 KB
33. Skill Challenge.srt	1.7 KB
25. BONUS - dropna() With Subset.srt	9.3 KB
35. Another Skill Challenge.srt	2.4 KB
9. BONUS - Sampling With Replacement Or Weights.srt	9.1 KB
23. The rename() Method.srt	9.1 KB
29. DataFrame Sorting.srt	8.9 KB
12. Changing The Index.srt	8.9 KB
13. Extracting From DataFrames By Label.srt	8.3 KB
16. BONUS - The get_loc() Method.srt	7.5 KB
36. Solution.srt	7.5 KB
27. Part III Removing Units From Values.srt	7.5 KB
20. The astype() Method.srt	7.4 KB
32. DataFrame nlargest() And nsmallest().srt	7.3 KB
30. Using Series between() With DataFrames.srt	7.1 KB
10. BONUS - How Are Random Numbers Generated.srt	6.8 KB
34. Solution.srt	6.7 KB
7. Some Cleanup Removing The Duplicated Index.srt	6.7 KB
15. Single Value Access With .at And .iat.srt	6.0 KB
3. Creating A DataFrame.srt	5.6 KB
5. The info() Method.srt	5.4 KB
11. DataFrame Axes.srt	5.1 KB
8. The sample() Method.srt	4.9 KB
6. Reading In Nutrition Data.srt	4.7 KB
19. More Cleanup Going Numeric.srt	4.0 KB
22. Part I Collecting The Units.mp4	70.1 MB
31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4	66.0 MB
26. Part II Merging Units With Column Names.mp4	60.1 MB
12. Changing The Index.mp4	52.8 MB
29. DataFrame Sorting.mp4	51.8 MB
14. DataFrame Extraction by Position.mp4	49.0 MB
2. What Is A DataFrame.mp4	48.1 MB
18. Solution.mp4	47.4 MB
21. DataFrame replace() + A Glimpse At Regex.mp4	46.4 MB
10. BONUS - How Are Random Numbers Generated.mp4	45.0 MB
28. Filtering in 2D.mp4	44.4 MB
34. Solution.mp4	44.3 MB
9. BONUS - Sampling With Replacement Or Weights.mp4	42.4 MB
24. DataFrame dropna().mp4	42.0 MB
36. Solution.mp4	38.6 MB
13. Extracting From DataFrames By Label.mp4	37.8 MB
27. Part III Removing Units From Values.mp4	37.4 MB
7. Some Cleanup Removing The Duplicated Index.mp4	37.4 MB
32. DataFrame nlargest() And nsmallest().mp4	37.1 MB
30. Using Series between() With DataFrames.mp4	36.7 MB
25. BONUS - dropna() With Subset.mp4	30.7 MB
23. The rename() Method.mp4	28.9 MB
6. Reading In Nutrition Data.mp4	28.6 MB
15. Single Value Access With .at And .iat.mp4	27.6 MB
20. The astype() Method.mp4	26.4 MB
16. BONUS - The get_loc() Method.mp4	26.3 MB
11. DataFrame Axes.mp4	24.4 MB
8. The sample() Method.mp4	23.7 MB
3. Creating A DataFrame.mp4	23.5 MB
5. The info() Method.mp4	20.0 MB
19. More Cleanup Going Numeric.mp4	19.5 MB
1. Section Intro.mp4	11.3 MB
35. Another Skill Challenge.mp4	7.1 MB
33. Skill Challenge.mp4	4.5 MB
17. Skill Challenge.mp4	4.3 MB
/7. Going MultiDimensional/
7. Indexing Ranges And Slices.srt	15.2 KB
20. BONUS Creating MultiLevel Columns Manually.srt	13.0 KB
12. The Anatomy Of A MultiIndex Object.srt	10.7 KB
6. Indexing Hierarchical DataFrames.srt	10.5 KB
11. Solution.srt	10.4 KB
17. More MultiIndex Methods.srt	10.4 KB
24. Solution.srt	10.3 KB
19. The Flipside unstack().srt	7.9 KB
15. Removing MultiIndex Levels.srt	7.8 KB
16. MultiIndex sort_index().srt	7.7 KB
18. Reshaping With stack().srt	7.2 KB
9. Cross Sections With xs().srt	7.0 KB
13. Adding Another Level.srt	7.0 KB
2. Introducing New Data.srt	6.2 KB
14. Shuffling Levels.srt	6.1 KB
23. Skill Challenge.srt	1.9 KB
1. Section Intro.srt	2.4 KB
3. Index And RangeIndex.srt	5.2 KB
8. BONUS - Use With pd.IndexSlice!.srt	5.0 KB
5. MultiIndex From read_csv().srt	4.9 KB
10. Skill Challenge.srt	1.7 KB
4. Creating A MultiIndex.srt	4.7 KB
22. BONUS - What About Panels.srt	4.1 KB
21. An Easier Way transpose().srt	3.3 KB
7. Indexing Ranges And Slices.mp4	62.0 MB
20. BONUS Creating MultiLevel Columns Manually.mp4	61.6 MB
24. Solution.mp4	51.6 MB
19. The Flipside unstack().mp4	48.2 MB
11. Solution.mp4	47.0 MB
6. Indexing Hierarchical DataFrames.mp4	41.3 MB
17. More MultiIndex Methods.mp4	39.8 MB
15. Removing MultiIndex Levels.mp4	39.5 MB
16. MultiIndex sort_index().mp4	37.3 MB
12. The Anatomy Of A MultiIndex Object.mp4	36.5 MB
13. Adding Another Level.mp4	35.2 MB
9. Cross Sections With xs().mp4	34.8 MB
18. Reshaping With stack().mp4	32.1 MB
22. BONUS - What About Panels.mp4	29.2 MB
5. MultiIndex From read_csv().mp4	29.0 MB
3. Index And RangeIndex.mp4	28.2 MB
1. Section Intro.mp4	27.7 MB
14. Shuffling Levels.mp4	25.5 MB
2. Introducing New Data.mp4	23.2 MB
4. Creating A MultiIndex.mp4	21.1 MB
21. An Easier Way transpose().mp4	19.5 MB
8. BONUS - Use With pd.IndexSlice!.mp4	17.8 MB
23. Skill Challenge.mp4	8.4 MB
10. Skill Challenge.mp4	4.0 MB
/.../12. Visualizing Data/
3. The Preliminaries Of matplotlib.srt	14.7 KB
4. Line Graphs.srt	13.9 KB
8. Scatter Plots.srt	12.5 KB
6. Pie Plots.srt	12.3 KB
5. Bar Charts.srt	12.2 KB
7. Histograms.srt	11.7 KB
9. Other Visualization Options.srt	10.4 KB
12. Solution.srt	10.0 KB
10. BONUS Data Ink And Chartjunk.srt	4.0 KB
2. The Art Of Data Visualization.srt	3.7 KB
11. Skill Challenge.srt	2.1 KB
1. Section Intro.srt	1.7 KB
9. Other Visualization Options.mp4	66.7 MB
8. Scatter Plots.mp4	66.5 MB
3. The Preliminaries Of matplotlib.mp4	65.9 MB
6. Pie Plots.mp4	57.6 MB
12. Solution.mp4	56.9 MB
4. Line Graphs.mp4	56.8 MB
5. Bar Charts.mp4	52.6 MB
7. Histograms.mp4	48.0 MB
10. BONUS Data Ink And Chartjunk.mp4	33.9 MB
2. The Art Of Data Visualization.mp4	13.6 MB
1. Section Intro.mp4	10.8 MB
11. Skill Challenge.mp4	7.9 MB
/.../14. Appendix A - Rapid-Fire Python Fundamentals/
25. Defining Functions.srt	14.0 KB
13. Containers III Sets.srt	12.5 KB
5. Ints And Floats.srt	11.7 KB
3. Variables.srt	11.4 KB
17. Controlling Flow if, else, And elif.srt	11.1 KB
15. Dictionary Keys And Values.srt	10.8 KB
11. List Methods And Functions.srt	10.7 KB
7. Strings.srt	10.5 KB
24. List Comprehensions.srt	10.0 KB
26. Function Arguments Positional vs Keyword.srt	9.1 KB
10. Lists vs. Strings.srt	8.8 KB
4. Arithmetic And Augmented Assignment Operators.srt	8.7 KB
8. Methods.srt	8.6 KB
21. While Loops.srt	8.1 KB
9. Containers I Lists.srt	8.0 KB
28. Importing Modules.srt	7.3 KB
27. Lambdas.srt	7.1 KB
19. For Loops.srt	6.9 KB
14. Containers IV Dictionaries.srt	6.8 KB
20. The range() Immutable Sequence.srt	6.6 KB
6. Booleans And Comparison Operators.srt	6.5 KB
22. Break And Continue.srt	5.9 KB
12. Containers II Tuples.srt	5.8 KB
16. Membership Operators.srt	5.2 KB
18. Truth Value Of Non-booleans.srt	4.5 KB
23. Zipping Iterables.srt	4.4 KB
2. Data Types.srt	3.0 KB
1. Section Intro.srt	2.4 KB
25. Defining Functions.mp4	60.6 MB
13. Containers III Sets.mp4	55.5 MB
5. Ints And Floats.mp4	44.9 MB
17. Controlling Flow if, else, And elif.mp4	43.7 MB
3. Variables.mp4	41.0 MB
15. Dictionary Keys And Values.mp4	38.1 MB
28. Importing Modules.mp4	35.8 MB
11. List Methods And Functions.mp4	34.6 MB
7. Strings.mp4	33.7 MB
24. List Comprehensions.mp4	33.3 MB
26. Function Arguments Positional vs Keyword.mp4	31.9 MB
9. Containers I Lists.mp4	30.9 MB
21. While Loops.mp4	30.7 MB
10. Lists vs. Strings.mp4	28.9 MB
4. Arithmetic And Augmented Assignment Operators.mp4	28.8 MB
8. Methods.mp4	26.6 MB
20. The range() Immutable Sequence.mp4	24.9 MB
27. Lambdas.mp4	24.3 MB
14. Containers IV Dictionaries.mp4	23.8 MB
6. Booleans And Comparison Operators.mp4	22.9 MB
19. For Loops.mp4	21.6 MB
12. Containers II Tuples.mp4	21.0 MB
16. Membership Operators.mp4	20.2 MB
22. Break And Continue.mp4	20.1 MB
23. Zipping Iterables.mp4	18.0 MB
18. Truth Value Of Non-booleans.mp4	16.7 MB
2. Data Types.mp4	10.7 MB
1. Section Intro.mp4	9.3 MB
/.../10. Handling Date And Time/
21. BONUS Rolling Windows.srt	13.5 KB
2. The Python datetime Module.srt	12.8 KB
3. Parsing Dates From Text.srt	11.9 KB
19. Upsampling And Interpolation.srt	11.4 KB
20. What About asfreq().srt	11.2 KB
6. Performant Datetimes With Numpy.srt	10.5 KB
18. Resampling Timeseries.srt	9.6 KB
14. DateTimeIndex Attribute Accessors.srt	9.4 KB
16. Shifting Dates With pd.DateOffset.srt	8.5 KB
17. BONUS Timedeltas And Absolute Time.srt	7.4 KB
15. Creating Date Ranges.srt	7.0 KB
23. Solution.srt	6.9 KB
9. Date Parsing And DatetimeIndex.srt	6.5 KB
7. The Pandas Timestamp.srt	6.3 KB
5. From Datetime To String.srt	6.1 KB
8. Our Dataset Brent Prices.srt	5.8 KB
11. Indexing Dates.srt	5.7 KB
4. Even Better dateutil.srt	5.3 KB
10. A Cool Shorcut read_csv() With parse_dates.srt	4.8 KB
13. Solution.srt	4.0 KB
22. Skill Challenge.srt	1.8 KB
1. Section Intro.srt	1.6 KB
12. Skill Challenge.srt	1.3 KB
3. Parsing Dates From Text.mp4	55.4 MB
19. Upsampling And Interpolation.mp4	51.8 MB
21. BONUS Rolling Windows.mp4	45.6 MB
2. The Python datetime Module.mp4	42.2 MB
18. Resampling Timeseries.mp4	40.4 MB
14. DateTimeIndex Attribute Accessors.mp4	40.0 MB
20. What About asfreq().mp4	38.4 MB
15. Creating Date Ranges.mp4	38.3 MB
16. Shifting Dates With pd.DateOffset.mp4	38.0 MB
6. Performant Datetimes With Numpy.mp4	37.0 MB
8. Our Dataset Brent Prices.mp4	30.9 MB
17. BONUS Timedeltas And Absolute Time.mp4	29.7 MB
11. Indexing Dates.mp4	27.9 MB
9. Date Parsing And DatetimeIndex.mp4	25.7 MB
7. The Pandas Timestamp.mp4	25.2 MB
4. Even Better dateutil.mp4	25.0 MB
23. Solution.mp4	24.0 MB
5. From Datetime To String.mp4	23.5 MB
1. Section Intro.mp4	23.4 MB
10. A Cool Shorcut read_csv() With parse_dates.mp4	18.5 MB
13. Solution.mp4	17.9 MB
22. Skill Challenge.mp4	4.9 MB
12. Skill Challenge.mp4	4.0 MB
/.../8. GroupBy And Aggregates/
15. Fine-tuned Aggregates.srt	10.7 KB
18. GroupBy Transformations.srt	9.6 KB
19. BONUS - There's Also apply().srt	8.7 KB
16. Named Aggregations.srt	8.1 KB
14. MultiIndex Grouping.srt	6.8 KB
17. The filter() Method.srt	6.8 KB
4. Conditional Aggregates.srt	6.6 KB
11. Solution.srt	6.4 KB
3. Simple Aggregations Review.srt	6.4 KB
21. Solution.srt	6.3 KB
9. BONUS - Series groupby().srt	5.8 KB
6. The groupby() Method.srt	5.7 KB
13. Handpicking Subgroups.srt	5.5 KB
5. The Split-Apply-Combine Pattern.srt	5.2 KB
8. Customizing Index To Group Mappings.srt	4.7 KB
7. The DataFrameGroupBy Object.srt	4.5 KB
12. Iterating Through Groups.srt	4.2 KB
1. Section Intro.srt	1.5 KB
2. New Data Game Sales.srt	3.9 KB
10. Skill Challenge.srt	1.2 KB
20. Skill Challenge.srt	1.6 KB
15. Fine-tuned Aggregates.mp4	46.3 MB
19. BONUS - There's Also apply().mp4	43.2 MB
18. GroupBy Transformations.mp4	40.7 MB
16. Named Aggregations.mp4	38.3 MB
3. Simple Aggregations Review.mp4	30.4 MB
11. Solution.mp4	28.9 MB
14. MultiIndex Grouping.mp4	27.8 MB
17. The filter() Method.mp4	27.4 MB
21. Solution.mp4	25.7 MB
4. Conditional Aggregates.mp4	25.7 MB
13. Handpicking Subgroups.mp4	24.8 MB
5. The Split-Apply-Combine Pattern.mp4	23.6 MB
6. The groupby() Method.mp4	22.6 MB
12. Iterating Through Groups.mp4	22.1 MB
9. BONUS - Series groupby().mp4	21.8 MB
8. Customizing Index To Group Mappings.mp4	21.5 MB
7. The DataFrameGroupBy Object.mp4	20.8 MB
1. Section Intro.mp4	17.9 MB
2. New Data Game Sales.mp4	15.6 MB
20. Skill Challenge.mp4	4.3 MB
10. Skill Challenge.mp4	3.4 MB
/.../15. Appendix B - Going Local Installation And Setup/
1. Installing Anaconda And Python - Windows.srt	7.8 KB
1. Installing Anaconda And Python - Windows.mp4	74.8 MB
3. Installing Anaconda And Python - Linux.srt	4.6 KB
2. Installing Anaconda And Python - Mac.srt	2.6 KB
3. Installing Anaconda And Python - Linux.mp4	32.5 MB
2. Installing Anaconda And Python - Mac.mp4	18.0 MB
Total files 1042