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The Ultimate Pandas Bootcamp Advanced Python Data Analysis

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Files:

3. Reading HTML.mp4 103.7 MB
TutsNode.com.txt 63 bytes
MemoryLayout.pdf 246.3 KB
1. Course Structure.srt 1.8 KB
Variance.pdf 38.0 KB
2. Pandas Is Not Single.srt 2.5 KB
Visualizing_Data.ipynb.zip 500.7 KB
tech_giants (1).csv 467.2 KB
ViewVsCopy.pdf 53.3 KB
[TGx]Downloaded from torrentgalaxy.to .txt 585 bytes
0 90 bytes
19. Is This A Valid Email.mp4 80.1 MB
tech_giants.csv 467.2 KB
games_sales (1).csv 236.9 KB
Vectorization.pdf 115.3 KB
SplitApplyCombine.pdf 114.8 KB
9. Adding Margins.srt 5.5 KB
1. Section Intro.srt 1.3 KB
games_sales (2).csv 236.9 KB
games_sales.csv 236.9 KB
SelectionRecap.pdf 111.4 KB
WhatIsDtype.pdf 110.9 KB
MultiIndexInternals.pdf 110.7 KB
Working_With_DataFrames.zip 105.5 KB
Handling_Time_And_Date.ipynb.zip 104.7 KB
5. The .dtype Attribute.srt 2.5 KB
8. The append() Method A Special Case Of concat().srt 3.1 KB
1 43 bytes
21. Pandas str contains(), split() And replace() With Regex.mp4 76.3 MB
BrentOilPrices (1).csv 78.8 KB
BrentOilPrices.csv 78.8 KB
WhatIsASeries.pdf 74.8 KB
scores (1).csv 74.7 KB
9. Skill Challenge.srt 2.8 KB
scores.csv 74.7 KB
SelectionTerminology.pdf 66.7 KB
3KeyConcepts.pdf 63.0 KB
ConcatVsMerge.pdf 62.7 KB
WhatIsCSV.pdf 62.6 KB
TwosComplement.pdf 60.5 KB
mid_career_salaries.csv 22.7 KB
folks.json 244 bytes
2 129 bytes
16. Introduction To Regular Expressions.mp4 75.0 MB
DataFrames_In_Depth.zip 59.4 KB
DropnaWithSubset.pdf 58.8 KB
2017BostonMarathonTop1000 (1).csv 57.5 KB
2017BostonMarathonTop1000.csv 57.5 KB
DroppingAndFillingNA.pdf 56.5 KB
Lookup.pdf 49.7 KB
AppendVsConcat.pdf 49.4 KB
Transforms.pdf 47.3 KB
SortValueOrIndex.pdf 44.2 KB
BooleanMasks.pdf 43.9 KB
InnerVsOuter.pdf 43.7 KB
SeriesAtGlance.pdf 43.0 KB
Diff.pdf 42.5 KB
SizeAndShape.pdf 42.3 KB
SeriesAccounting.pdf 42.0 KB
22. Skill Challenge.srt 2.3 KB
Going_MultiDimensional.zip 41.9 KB
SeqVsVectorizedOperations.pdf 41.5 KB
LeftVsRight.pdf 40.8 KB
1. Section Intro.srt 2.4 KB
IdxminIdxmax.pdf 40.1 KB
RangeVSInt64Index.pdf 37.8 KB
BoolsAsInts.pdf 37.5 KB
3. Reading HTML.srt 16.4 KB
3 526 bytes
5. Creating Output The to_ Family Of Methods.mp4 74.0 MB
ValueCounts.pdf 36.0 KB
5. The count() Method.srt 2.8 KB
JoinCardinalities.pdf 35.3 KB
soccer.csv 33.7 KB
OurProcess.pdf 32.6 KB
Median.pdf 32.5 KB
MethodsVAttribtues.pdf 32.5 KB
Series_Methods_And_Handling.zip 31.8 KB
AtAndIat.pdf 30.6 KB
Regex_And_Text_Manipulation.ipynb.zip 29.8 KB
IndexingWithCallables.pdf 29.1 KB
10. Skill Challenge.srt 1.5 KB
MoreWaysToBuildDataframes.pdf 29.1 KB
Comparators.pdf 28.7 KB
Working_With_Multiple_DataFrames.zip 27.4 KB
ViewVsCopyHowDoWeTell.pdf 27.1 KB
Appendix_A_Rapid_Fire_Python_Fundamentals.ipynb.zip 25.6 KB
BinaryOperators.pdf 24.4 KB
Duplicates.pdf 24.3 KB
14. The describe() Method.srt 2.5 KB
Data_Formats_And_I_O.ipynb.zip 23.6 KB
GroupBy_And_Aggregates.ipynb.zip 22.4 KB
WhatsInTheData.pdf 19.2 KB
19. Is This A Valid Email.srt 18.6 KB
5. Creating Output The to_ Family Of Methods.srt 18.5 KB
ArgsVParams.pdf 18.4 KB
31. Same-shape Transforms.srt 18.1 KB
21. Pandas str contains(), split() And replace() With Regex.srt 17.5 KB
4. BONUS - Four More Ways To Build DataFrames.srt 17.4 KB
Reshaping_With_Pivots.ipynb.zip 17.1 KB
32. More Flexibility With apply().srt 16.4 KB
20. Skill Challenge.srt 1.2 KB
16. Introduction To Regular Expressions.srt 16.3 KB
21. Solution.srt 2.5 KB
33. Element-wise Operations With applymap().srt 16.0 KB
22. Part I Collecting The Units.srt 15.5 KB
7. Indexing Ranges And Slices.srt 14.9 KB
23. Solution.srt 14.8 KB
28. Transforming With update(), apply() And map().srt 14.6 KB
14. Sorting vs. Reordering.srt 14.5 KB
3. The Preliminaries Of matplotlib.srt 14.4 KB
7. NumPy.srt 14.3 KB
6. BONUS - XOR and Complement Binary Ops.srt 14.3 KB
4. Jupyter Notebooks.srt 14.0 KB
25. Defining Functions.srt 13.7 KB
Series_At_Glance.zip 13.6 KB
4. Line Graphs.srt 13.6 KB
27. Filtering filter(), where(), And mask().srt 13.3 KB
18. How To Approach Regex.srt 13.3 KB
21. BONUS Rolling Windows.srt 13.2 KB
11. Solution.srt 13.1 KB
30. Solution I - Reading Data.srt 2.6 KB
26. Part II Merging Units With Column Names.srt 12.9 KB
19. Identifying Dupes.srt 12.9 KB
9. BONUS Booleans Are Literally Numbers In Python.srt 3.8 KB
4 13 bytes
4. BONUS - Four More Ways To Build DataFrames.mp4 73.2 MB
1. Section Intro.srt 2.3 KB
21. DataFrame replace() + A Glimpse At Regex.srt 12.9 KB
20. BONUS Creating MultiLevel Columns Manually.srt 12.7 KB
14. BONUS Parsing Indicators With get_dummies().srt 12.6 KB
2. The Python datetime Module.srt 12.5 KB
17. More Regex Concepts.srt 12.4 KB
8. Scatter Plots.srt 12.2 KB
13. Containers III Sets.srt 12.2 KB
5. Binary Operators With Booleans.srt 12.2 KB
2. What Is A DataFrame.srt 12.0 KB
6. Pie Plots.srt 12.0 KB
24. DataFrame dropna().srt 11.9 KB
5. Bar Charts.srt 11.9 KB
state.csv 11.6 KB
3. Parsing Dates From Text.srt 11.6 KB
4. More Approaches To Boolean Masking.srt 11.6 KB
7. Histograms.srt 11.4 KB
5. Ints And Floats.srt 11.4 KB
11. 2d Indexing.srt 11.4 KB
30. Calculating Aggregates With agg().srt 11.4 KB
40. Adding Rows To DataFrames.srt 11.3 KB
3. Variables.srt 11.1 KB
19. Upsampling And Interpolation.srt 11.1 KB
regions.csv 11.0 KB
20. What About asfreq().srt 10.9 KB
27. BONUS - Methods And Axes With fillna().srt 10.9 KB
8. String Splitting And Concatenation.srt 10.8 KB
17. Controlling Flow if, else, And elif.srt 10.8 KB
6. Accessing And Counting NAs.srt 10.8 KB
38. View vs Copy.srt 10.7 KB
19. BONUS Using Callables With .loc And .iloc.srt 10.7 KB
15. Dictionary Keys And Values.srt 10.6 KB
17. Skill Challenge.srt 1.7 KB
31. BONUS - Min, Max and Idx[MinMax], And Good Foods.srt 10.5 KB
11. List Methods And Functions.srt 10.5 KB
28. Filtering in 2D.srt 10.5 KB
12. The Anatomy Of A MultiIndex Object.srt 10.4 KB
15. Fine-tuned Aggregates.srt 10.4 KB
16. One-to-One and One-to-Many Joins.srt 10.4 KB
6. Performant Datetimes With Numpy.srt 10.3 KB
2. Reading In Data With read_csv().srt 10.3 KB
7. Strings.srt 10.2 KB
6. Indexing Hierarchical DataFrames.srt 10.2 KB
17. Boolean Masks And The .loc Indexer.srt 10.2 KB
11. Solution.srt 10.2 KB
9. Other Visualization Options.srt 10.2 KB
17. More MultiIndex Methods.srt 10.1 KB
24. Solution.srt 10.1 KB
39. Adding DataFrame Columns.srt 9.9 KB
4. Reading Excel.srt 9.8 KB
24. List Comprehensions.srt 9.8 KB
9. More Split Parameters.srt 9.8 KB
12. Solution.srt 9.8 KB
12. Fancy Indexing With lookup().srt 9.7 KB
18. Solution.srt 9.7 KB
14. DataFrame Extraction by Position.srt 9.7 KB
32. Solution III - Z-scores.srt 9.6 KB
folks.xlsx 9.5 KB
18. Resampling Timeseries.srt 9.4 KB
18. GroupBy Transformations.srt 9.3 KB
17. Many-to-Many Joins.srt 9.3 KB
13. Descriptive Statistics.srt 9.2 KB
14. DateTimeIndex Attribute Accessors.srt 9.1 KB
22. Series Arithmetics And fill_value().srt 9.1 KB
33. Skill Challenge.srt 1.7 KB
15. Text Replacement.srt 9.1 KB
5. Enforcing Unique Indices.srt 9.1 KB
25. BONUS - dropna() With Subset.srt 9.0 KB
35. Another Skill Challenge.srt 2.3 KB
9. BONUS - Sampling With Replacement Or Weights.srt 8.9 KB
26. Function Arguments Positional vs Keyword.srt 8.9 KB
37. The SettingWithCopy Warning.srt 8.9 KB
23. The rename() Method.srt 8.9 KB
3. Concatenating DataFrames.srt 8.8 KB
10. Solution.srt 8.7 KB
29. DataFrame Sorting.srt 8.7 KB
4. The Duplicated Index Issue.srt 8.7 KB
12. Changing The Index.srt 8.7 KB
3. String Methods In Python.srt 8.7 KB
8. Replicating Pivot Tables With GroupBy.srt 2.9 KB
5 18 bytes
23. Solution.mp4 72.4 MB
13. Extracting By Index Position.srt 8.6 KB
10. Lists vs. Strings.srt 8.6 KB
7. BONUS The Problem With Average Percentage.srt 8.5 KB
4. Arithmetic And Augmented Assignment Operators.srt 8.5 KB
26. Dropping And Filling DataFrame NAs.srt 8.5 KB
19. BONUS - There's Also apply().srt 8.5 KB
9. Skill Challenge.srt 1.5 KB
7. Index And RangeIndex.srt 8.5 KB
3. Pivoting Data.srt 8.5 KB
8. Methods.srt 8.4 KB
7. Combining Conditions.srt 8.4 KB
21. Solution.srt 8.3 KB
16. Shifting Dates With pd.DateOffset.srt 8.3 KB
7. Strips And Whitespace.srt 8.3 KB
25. Null Values In DataFrames.srt 8.2 KB
13. Masking With String Methods.srt 8.2 KB
15. mode() And value_counts().srt 8.1 KB
13. Extracting From DataFrames By Label.srt 8.1 KB
15. BONUS - Another Way.srt 2.6 KB
6. BONUS Introduction To Pickling.srt 8.0 KB
29. Solution.srt 8.0 KB
14. Accessing Elements By Label.srt 7.9 KB
17. Skill Challenge.srt 1.5 KB
16. Named Aggregations.srt 7.9 KB
21. While Loops.srt 7.9 KB
9. Containers I Lists.srt 7.8 KB
36. Setting DataFrame Values.srt 7.8 KB
19. The Flipside unstack().srt 7.7 KB
6. Finding Characters And Words.srt 7.6 KB
1. Installing Anaconda And Python - Windows.srt 7.6 KB
13. Sorting By Index Or Column.srt 7.6 KB
15. Removing MultiIndex Levels.srt 7.6 KB
16. MultiIndex sort_index().srt 7.6 KB
10. Solution.srt 7.5 KB
16. BONUS - The get_loc() Method.srt 7.4 KB
36. Solution.srt 7.4 KB
27. Part III Removing Units From Values.srt 7.3 KB
20. The astype() Method.srt 7.3 KB
17. BONUS Timedeltas And Absolute Time.srt 7.2 KB
28. Importing Modules.srt 7.1 KB
32. DataFrame nlargest() And nsmallest().srt 7.1 KB
43. Solution.srt 7.1 KB
18. Reshaping With stack().srt 7.1 KB
5. Cloud vs Local.srt 7.0 KB
28. Skill Challenge.srt 1.8 KB
12. Slicing Substrings.srt 7.0 KB
6. The pivot_table().srt 7.0 KB
30. Using Series between() With DataFrames.srt 7.0 KB
27. Lambdas.srt 6.9 KB
9. Cross Sections With xs().srt 6.9 KB
15. Creating Date Ranges.srt 6.9 KB
13. Adding Another Level.srt 6.8 KB
12. The merge() Method.srt 6.8 KB
4. What’s In The Data.srt 6.8 KB
19. For Loops.srt 6.8 KB
23. Solution.srt 6.7 KB
34. Skill Challenge.srt 2.6 KB
10. BONUS - How Are Random Numbers Generated.srt 6.7 KB
14. Containers IV Dictionaries.srt 6.7 KB
5. What About Aggregates.srt 6.7 KB
14. MultiIndex Grouping.srt 6.6 KB
20. Removing Duplicates.srt 6.6 KB
17. The filter() Method.srt 6.6 KB
2. Introducing (Five) New Datasets.srt 6.6 KB
4. Undoing Pivots.srt 6.6 KB
21. Selection Recap.srt 6.5 KB
34. Solution.srt 6.5 KB
7. Some Cleanup Removing The Duplicated Index.srt 6.5 KB
23. Solution.srt 6.5 KB
16. idxmax() And idxmin().srt 6.5 KB
13. Solution.srt 6.4 KB
20. The range() Immutable Sequence.srt 6.4 KB
42. Skill Challenge.srt 2.0 KB
4. Conditional Aggregates.srt 6.4 KB
9. Date Parsing And DatetimeIndex.srt 6.4 KB
14. Inner vs Outer Joins.srt 6.3 KB
1. Section Intro.srt 1.5 KB
6. Booleans And Comparison Operators.srt 6.3 KB
11. Solution.srt 6.3 KB
3. Simple Aggregations Review.srt 6.2 KB
8. Series And Index Names.srt 6.2 KB
18. Merging By Index.srt 6.2 KB
21. Solution.srt 6.2 KB
12. The head() And tail() Methods.srt 6.2 KB
4. Unique Values And Series Monotonicity.srt 6.2 KB
7. The Pandas Timestamp.srt 6.1 KB
35. Solution.srt 6.1 KB
2. Introducing New Data.srt 6.0 KB
7. Pickles In Pandas.srt 6.0 KB
14. Shuffling Levels.srt 5.9 KB
5. From Datetime To String.srt 5.9 KB
24. BONUS - A Sophisticated Alternative.srt 5.9 KB
15. Single Value Access With .at And .iat.srt 5.8 KB
9. Concat On Different Columns.srt 5.9 KB
10. Skill Challenge.srt 2.1 KB
22. Break And Continue.srt 5.8 KB
24. Cumulative Operations.srt 5.7 KB
23. Skill Challenge.srt 1.9 KB
6 134 bytes
1. Installing Anaconda And Python - Windows.mp4 71.3 MB
9. BONUS - Series groupby().srt 5.7 KB
7. BONUS Another Approach.srt 5.7 KB
20. Selecting With .get().srt 5.7 KB
12. Containers II Tuples.srt 5.7 KB
8. Our Dataset Brent Prices.srt 5.7 KB
17. Sorting With sort_values().srt 5.7 KB
11. Indexing Dates.srt 5.6 KB
2. Reading JSON.srt 5.6 KB
6. The groupby() Method.srt 5.5 KB
3. Creating A DataFrame.srt 5.5 KB
3. Series Sizing With .size, .shape, And len().srt 5.4 KB
2. New Data New York City SAT Scores.srt 5.4 KB
13. Handpicking Subgroups.srt 5.4 KB
6. BONUS - Creating Multiple Indices With concat().srt 5.3 KB
20. Skill Challenge.srt 1.4 KB
8. Conditions As Variables.srt 5.3 KB
7. Column Axis Concatenation.srt 5.3 KB
5. The info() Method.srt 5.3 KB
1. Section Intro.srt 2.3 KB
23. BONUS - Another Way pop().srt 5.2 KB
6. Hello, Python.srt 5.2 KB
4. Even Better dateutil.srt 5.2 KB
23. BONUS Calculating Variance And Standard Deviation.srt 5.2 KB
13. The left_on And right_on Params.srt 5.2 KB
12. Dropping And Filling NAs.srt 5.1 KB
3. Index And RangeIndex.srt 5.1 KB
5. The Split-Apply-Combine Pattern.srt 5.1 KB
41. BONUS - How Are DataFrames Stored In Memory.srt 5.1 KB
16. Membership Operators.srt 5.0 KB
11. DataFrame Axes.srt 5.0 KB
11. Solution.srt 4.9 KB
8. BONUS - Use With pd.IndexSlice!.srt 4.9 KB
5. MultiIndex From read_csv().srt 4.8 KB
8. The sample() Method.srt 4.8 KB
8. The Many Other Formats.srt 4.8 KB
2. What Is A Series.srt 4.8 KB
10. Skill Challenge.srt 1.7 KB
11. Applying Multiple Functions.srt 4.8 KB
10. Solution.srt 4.7 KB
26. Series Iteration.srt 4.7 KB
10. A Cool Shorcut read_csv() With parse_dates.srt 4.7 KB
8. Customizing Index To Group Mappings.srt 4.6 KB
4. Creating A MultiIndex.srt 4.6 KB
6. Reading In Nutrition Data.srt 4.6 KB
2. Introducing A New Dataset.srt 4.5 KB
16. Using Dot Notation.srt 4.5 KB
3. Installing Anaconda And Python - Linux.srt 4.5 KB
7. The DataFrameGroupBy Object.srt 4.4 KB
18. Truth Value Of Non-booleans.srt 4.4 KB
15. Left vs Right Joins.srt 4.4 KB
18. Solution.srt 4.4 KB
18. Extracting By Position With .iloc.srt 4.4 KB
16. 15. BONUS - Please Avoid Sorting Like This.srt 4.3 KB
23. Zipping Iterables.srt 4.3 KB
25. Pairwise Differences With diff().srt 4.3 KB
4. Vectorized String Operations In Pandas.srt 4.3 KB
3. Quick Review Indexing With Boolean Masks.srt 4.3 KB
20. BONUS What's The Point Of re.compile().srt 4.2 KB
31. Solution II - Mean, Median, And Standard Deviation.srt 4.1 KB
12. Iterating Through Groups.srt 4.1 KB
drinks (1).csv 4.1 KB
drinks (2).csv 4.1 KB
drinks.csv 4.1 KB
19. Sorting With sort_index().srt 4.0 KB
15. BONUS The add_prefix() And add_suffix() Methods.srt 4.0 KB
22. BONUS - What About Panels.srt 4.0 KB
1. Section Intro.srt 1.5 KB
6. BONUS What Is dtype('o'), Really.srt 4.0 KB
13. Solution.srt 3.9 KB
10. BONUS Data Ink And Chartjunk.srt 3.9 KB
19. More Cleanup Going Numeric.srt 3.9 KB
2. New Data Game Sales.srt 3.8 KB
3. Anaconda.srt 3.8 KB
2. Our Data Boston Marathon Runners.srt 3.7 KB
11. Solution.srt 3.7 KB
5. Case Operations.srt 3.6 KB
10. MultiIndex Pivot Tables.srt 3.6 KB
11. Another Solution.srt 3.6 KB
2. The Art Of Data Visualization.srt 3.6 KB
22. BONUS - Removing Columns.srt 3.5 KB
9. Skill Challenge.srt 3.5 KB
21. Removing DataFrame Rows.srt 3.4 KB
3. Parameters vs Arguments.srt 3.3 KB
18. nlargest() And nsmallest().srt 3.3 KB
10. Skill Challenge.srt 1.2 KB
8. The Other Side notnull() And notna().srt 3.2 KB
21. An Easier Way transpose().srt 3.2 KB
29. Skill Challenge.srt 3.2 KB
19. The join() Method.srt 3.2 KB
1. Section Intro.srt 3.1 KB
2. Data Types.srt 3.0 KB
liberal_arts.csv 2.9 KB
2. Installing Anaconda And Python - Mac.srt 2.6 KB
1. Section Intro.srt 2.3 KB
1. Section Intro.srt 2.3 KB
11. Skill Challenge.srt 2.0 KB
22. Skill Challenge.srt 1.9 KB
22. Skill Challenge.srt 1.7 KB
1. Section Intro.srt 1.7 KB
12. Skill Challenge.srt 1.6 KB
1. Section Intro.srt 1.6 KB
1. Section Intro.srt 1.5 KB
eng.csv 1.5 KB
20. Skill Challenge.srt 1.5 KB
portfolio.zip 1.4 KB
10. Skill Challenge.srt 1.3 KB
12. Skill Challenge.srt 1.3 KB
1. Section Intro.srt 1.1 KB
ivies.csv 548 bytes
7 251.9 KB
28. Transforming With update(), apply() And map().mp4 69.9 MB
8 83.4 KB
33. Element-wise Operations With applymap().mp4 68.5 MB
9 503.7 KB
4. More Approaches To Boolean Masking.mp4 68.4 MB
10 596.8 KB
31. Same-shape Transforms.mp4 67.0 MB
11 18.3 KB
22. Part I Collecting The Units.mp4 66.8 MB
12 180.3 KB
14. BONUS Parsing Indicators With get_dummies().mp4 66.3 MB
13 717.6 KB
14. Sorting vs. Reordering.mp4 65.2 MB
14 775.1 KB
17. More Regex Concepts.mp4 65.2 MB
15 854.2 KB
9. Other Visualization Options.mp4 63.6 MB
16 363.2 KB
18. How To Approach Regex.mp4 63.5 MB
17 486.7 KB
8. Scatter Plots.mp4 63.4 MB
18 627.6 KB
31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4 63.0 MB
19 17.1 KB
3. The Preliminaries Of matplotlib.mp4 62.9 MB
20 120.1 KB
7. NumPy.mp4 62.2 MB
21 826.1 KB
19. Identifying Dupes.mp4 60.9 MB
22 121.4 KB
11. Solution.mp4 59.5 MB
23 542.5 KB
32. More Flexibility With apply().mp4 59.4 MB
24 636.9 KB
7. Indexing Ranges And Slices.mp4 59.1 MB
25 915.3 KB
20. BONUS Creating MultiLevel Columns Manually.mp4 58.7 MB
26 281.0 KB
5. Enforcing Unique Indices.mp4 58.4 MB
27 625.6 KB
25. Defining Functions.mp4 57.8 MB
28 233.7 KB
27. BONUS - Methods And Axes With fillna().mp4 57.4 MB
29 634.5 KB
26. Part II Merging Units With Column Names.mp4 57.3 MB
30 734.6 KB
16. One-to-One and One-to-Many Joins.mp4 57.0 MB
31 1014.0 KB
4. Reading Excel.mp4 55.7 MB
32 283.1 KB
17. Many-to-Many Joins.mp4 55.6 MB
33 391.3 KB
27. Filtering filter(), where(), And mask().mp4 55.1 MB
34 970.8 KB
6. Pie Plots.mp4 54.9 MB
35 116.5 KB
12. Solution.mp4 54.2 MB
36 768.6 KB
4. Line Graphs.mp4 54.2 MB
37 843.7 KB
13. Containers III Sets.mp4 53.0 MB
38 33.1 KB
3. Parsing Dates From Text.mp4 52.8 MB
39 187.5 KB
2. Reading In Data With read_csv().mp4 52.8 MB
40 194.6 KB
4. The Duplicated Index Issue.mp4 51.3 MB
41 693.8 KB
6. BONUS - XOR and Complement Binary Ops.mp4 50.5 MB
42 538.5 KB
12. Changing The Index.mp4 50.4 MB
43 638.1 KB
5. Bar Charts.mp4 50.1 MB
44 881.9 KB
40. Adding Rows To DataFrames.mp4 49.9 MB
45 97.4 KB
29. DataFrame Sorting.mp4 49.4 MB
46 591.0 KB
19. Upsampling And Interpolation.mp4 49.4 MB
47 611.9 KB
38. View vs Copy.mp4 49.3 MB
48 712.5 KB
24. Solution.mp4 49.2 MB
49 840.1 KB
26. Dropping And Filling DataFrame NAs.mp4 49.0 MB
50 1020.3 KB
32. Solution III - Z-scores.mp4 48.2 MB
51 819.2 KB
4. Jupyter Notebooks.mp4 48.0 MB
52 1007.5 KB
14. DataFrame Extraction by Position.mp4 46.7 MB
53 296.5 KB
8. String Splitting And Concatenation.mp4 46.3 MB
54 666.2 KB
12. Fancy Indexing With lookup().mp4 46.2 MB
55 809.1 KB
21. Solution.mp4 46.1 MB
56 945.2 KB
19. The Flipside unstack().mp4 45.9 MB
57 55.3 KB
2. What Is A DataFrame.mp4 45.9 MB
58 147.3 KB
10. Solution.mp4 45.8 MB
59 185.9 KB
7. Histograms.mp4 45.8 MB
60 224.5 KB
7. Combining Conditions.mp4 45.6 MB
61 442.2 KB
18. Solution.mp4 45.2 MB
62 826.1 KB
13. Sorting By Index Or Column.mp4 45.0 MB
63 1001.2 KB
11. Solution.mp4 44.8 MB
64 203.0 KB
21. DataFrame replace() + A Glimpse At Regex.mp4 44.3 MB
65 738.7 KB
15. Fine-tuned Aggregates.mp4 44.1 MB
66 881.8 KB
36. Setting DataFrame Values.mp4 43.6 MB
67 459.3 KB
21. BONUS Rolling Windows.mp4 43.5 MB
68 521.2 KB
10. BONUS - How Are Random Numbers Generated.mp4 42.9 MB
69 60.1 KB
5. Ints And Floats.mp4 42.8 MB
70 203.6 KB
29. Solution.mp4 42.5 MB
71 522.8 KB
28. Filtering in 2D.mp4 42.3 MB
72 668.5 KB
34. Solution.mp4 42.3 MB
73 764.6 KB
25. Null Values In DataFrames.mp4 42.2 MB
74 860.4 KB
3. Concatenating DataFrames.mp4 42.1 MB
75 896.5 KB
3. Pivoting Data.mp4 41.9 MB
76 101.8 KB
15. Text Replacement.mp4 41.8 MB
77 225.7 KB
17. Controlling Flow if, else, And elif.mp4 41.7 MB
78 343.9 KB
19. BONUS - There's Also apply().mp4 41.2 MB
79 837.8 KB
2. Introducing (Five) New Datasets.mp4 40.6 MB
80 412.6 KB
9. BONUS - Sampling With Replacement Or Weights.mp4 40.5 MB
81 534.2 KB
2. The Python datetime Module.mp4 40.3 MB
82 726.5 KB
22. Series Arithmetics And fill_value().mp4 40.2 MB
83 821.7 KB
9. More Split Parameters.mp4 40.1 MB
84 939.0 KB
24. DataFrame dropna().mp4 40.1 MB
85 942.4 KB
10. Solution.mp4 40.0 MB
86 985.1 KB
11. 2d Indexing.mp4 40.0 MB
87 1007.0 KB
37. The SettingWithCopy Warning.mp4 39.8 MB
88 194.4 KB
6. Indexing Hierarchical DataFrames.mp4 39.4 MB
89 622.0 KB
3. Variables.mp4 39.1 MB
90 889.8 KB
18. GroupBy Transformations.mp4 38.8 MB
91 210.0 KB
18. Resampling Timeseries.mp4 38.5 MB
92 476.9 KB
9. Concat On Different Columns.mp4 38.2 MB
93 812.0 KB
14. DateTimeIndex Attribute Accessors.mp4 38.1 MB
94 872.8 KB
18. Merging By Index.mp4 38.1 MB
95 874.7 KB
5. Binary Operators With Booleans.mp4 37.9 MB
96 59.6 KB
17. More MultiIndex Methods.mp4 37.9 MB
97 82.7 KB
15. Removing MultiIndex Levels.mp4 37.7 MB
98 306.9 KB
19. BONUS Using Callables With .loc And .iloc.mp4 37.1 MB
99 881.8 KB
30. Calculating Aggregates With agg().mp4 37.1 MB
100 942.4 KB
13. Masking With String Methods.mp4 36.9 MB
101 94.5 KB
36. Solution.mp4 36.9 MB
102 144.5 KB
6. Accessing And Counting NAs.mp4 36.8 MB
103 213.6 KB
13. Solution.mp4 36.6 MB
104 366.1 KB
20. What About asfreq().mp4 36.6 MB
105 401.7 KB
15. Creating Date Ranges.mp4 36.5 MB
106 481.8 KB
16. Named Aggregations.mp4 36.5 MB
107 524.5 KB
39. Adding DataFrame Columns.mp4 36.5 MB
108 538.8 KB
15. Dictionary Keys And Values.mp4 36.3 MB
109 697.1 KB
16. Shifting Dates With pd.DateOffset.mp4 36.2 MB
110 799.0 KB
7. BONUS The Problem With Average Percentage.mp4 36.2 MB
111 864.9 KB
13. Extracting From DataFrames By Label.mp4 36.0 MB
112 1015.0 KB
27. Part III Removing Units From Values.mp4 35.6 MB
113 384.2 KB
7. Some Cleanup Removing The Duplicated Index.mp4 35.6 MB
114 386.2 KB
16. MultiIndex sort_index().mp4 35.6 MB
115 390.8 KB
12. The merge() Method.mp4 35.4 MB
116 630.3 KB
32. DataFrame nlargest() And nsmallest().mp4 35.4 MB
117 656.1 KB
6. Performant Datetimes With Numpy.mp4 35.3 MB
118 687.0 KB
30. Using Series between() With DataFrames.mp4 35.0 MB
119 35.3 KB
12. The Anatomy Of A MultiIndex Object.mp4 34.8 MB
120 155.4 KB
5. What About Aggregates.mp4 34.3 MB
121 764.6 KB
28. Importing Modules.mp4 34.2 MB
122 868.2 KB
13. Descriptive Statistics.mp4 33.7 MB
123 337.5 KB
6. The pivot_table().mp4 33.7 MB
124 343.4 KB
13. Adding Another Level.mp4 33.6 MB
125 420.0 KB
24. BONUS - A Sophisticated Alternative.mp4 33.2 MB
126 851.9 KB
7. Index And RangeIndex.mp4 33.2 MB
127 864.6 KB
9. Cross Sections With xs().mp4 33.2 MB
128 866.5 KB
11. List Methods And Functions.mp4 33.0 MB
129 14.2 KB
6. Hello, Python.mp4 32.8 MB
130 215.9 KB
10. BONUS Data Ink And Chartjunk.mp4 32.3 MB
131 678.3 KB
13. The left_on And right_on Params.mp4 32.2 MB
132 820.2 KB
7. Strings.mp4 32.1 MB
133 894.2 KB
43. Solution.mp4 31.9 MB
134 60.3 KB
24. List Comprehensions.mp4 31.8 MB
135 225.2 KB
15. mode() And value_counts().mp4 31.7 MB
136 271.9 KB
7. Strips And Whitespace.mp4 31.7 MB
137 275.6 KB
6. BONUS Introduction To Pickling.mp4 31.7 MB
138 296.2 KB
3. Installing Anaconda And Python - Linux.mp4 31.0 MB
139 48.7 KB
18. Reshaping With stack().mp4 30.6 MB
140 442.8 KB
20. Selecting With .get().mp4 30.5 MB
141 462.4 KB
26. Function Arguments Positional vs Keyword.mp4 30.4 MB
142 568.7 KB
20. Removing Duplicates.mp4 29.8 MB
143 184.9 KB
9. Containers I Lists.mp4 29.5 MB
144 526.3 KB
17. Boolean Masks And The .loc Indexer.mp4 29.5 MB
145 543.7 KB
8. Our Dataset Brent Prices.mp4 29.4 MB
146 587.4 KB
25. BONUS - dropna() With Subset.mp4 29.3 MB
147 759.3 KB
21. While Loops.mp4 29.2 MB
148 786.5 KB
13. Extracting By Index Position.mp4 29.1 MB
149 966.5 KB
3. Simple Aggregations Review.mp4 29.0 MB
150 1005.6 KB
3. String Methods In Python.mp4 28.8 MB
151 233.8 KB
6. BONUS - Creating Multiple Indices With concat().mp4 28.5 MB
152 561.4 KB
17. BONUS Timedeltas And Absolute Time.mp4 28.4 MB
153 652.0 KB
21. Selection Recap.mp4 28.2 MB
154 829.2 KB
8. The Many Other Formats.mp4 27.9 MB
155 91.0 KB
4. Undoing Pivots.mp4 27.9 MB
156 111.5 KB
22. BONUS - What About Panels.mp4 27.9 MB
157 111.9 KB
5. MultiIndex From read_csv().mp4 27.7 MB
158 312.2 KB
11. Solution.mp4 27.6 MB
159 416.3 KB
23. The rename() Method.mp4 27.6 MB
160 420.7 KB
10. Lists vs. Strings.mp4 27.6 MB
161 447.4 KB
4. Arithmetic And Augmented Assignment Operators.mp4 27.5 MB
162 556.5 KB
6. Reading In Nutrition Data.mp4 27.3 MB
163 731.0 KB
14. Inner vs Outer Joins.mp4 27.1 MB
164 908.5 KB
7. Column Axis Concatenation.mp4 27.1 MB
165 928.2 KB
14. Accessing Elements By Label.mp4 27.1 MB
166 960.0 KB
3. Index And RangeIndex.mp4 26.9 MB
167 133.2 KB
2. New Data New York City SAT Scores.mp4 26.8 MB
168 239.1 KB
11. Indexing Dates.mp4 26.6 MB
169 378.4 KB
14. MultiIndex Grouping.mp4 26.5 MB
170 468.1 KB
5. Cloud vs Local.mp4 26.5 MB
171 481.8 KB
35. Solution.mp4 26.5 MB
172 546.7 KB
1. Section Intro.mp4 26.4 MB
173 590.1 KB
15. Single Value Access With .at And .iat.mp4 26.3 MB
174 677.2 KB
17. The filter() Method.mp4 26.1 MB
175 902.5 KB
18. Solution.mp4 25.8 MB
176 244.9 KB
6. Finding Characters And Words.mp4 25.7 MB
177 275.6 KB
8. Methods.mp4 25.3 MB
178 688.8 KB
20. The astype() Method.mp4 25.2 MB
179 846.1 KB
16. BONUS - The get_loc() Method.mp4 25.1 MB
180 955.8 KB
9. Adding Margins.mp4 24.6 MB
181 423.4 KB
9. Date Parsing And DatetimeIndex.mp4 24.5 MB
182 483.2 KB
21. Solution.mp4 24.5 MB
183 500.7 KB
4. Conditional Aggregates.mp4 24.5 MB
184 502.0 KB
14. Shuffling Levels.mp4 24.3 MB
185 697.7 KB
12. Slicing Substrings.mp4 24.2 MB
186 831.4 KB
7. The Pandas Timestamp.mp4 24.0 MB
187 978.6 KB
4. Even Better dateutil.mp4 23.9 MB
188 152.3 KB
1. Section Intro.mp4 23.8 MB
189 176.6 KB
20. The range() Immutable Sequence.mp4 23.7 MB
190 288.6 KB
13. Handpicking Subgroups.mp4 23.6 MB
191 361.4 KB
2. Our Data Boston Marathon Runners.mp4 23.6 MB
192 435.4 KB
23. Solution.mp4 23.4 MB
193 620.7 KB
3. Quick Review Indexing With Boolean Masks.mp4 23.3 MB
194 688.3 KB
11. DataFrame Axes.mp4 23.3 MB
195 709.2 KB
3. Series Sizing With .size, .shape, And len().mp4 23.3 MB
196 760.4 KB
27. Lambdas.mp4 23.2 MB
197 806.4 KB
12. The head() And tail() Methods.mp4 23.0 MB
198 22.6 KB
7. Pickles In Pandas.mp4 22.9 MB
199 72.1 KB
23. Solution.mp4 22.9 MB
200 105.8 KB
10. Solution.mp4 22.9 MB
201 107.0 KB
19. The join() Method.mp4 22.9 MB
202 129.6 KB
14. Containers IV Dictionaries.mp4 22.7 MB
203 271.2 KB
8. The sample() Method.mp4 22.6 MB
204 403.0 KB
5. The Split-Apply-Combine Pattern.mp4 22.5 MB
205 499.7 KB
3. Creating A DataFrame.mp4 22.4 MB
206 593.5 KB
5. From Datetime To String.mp4 22.4 MB
207 648.5 KB
1. Section Intro.mp4 22.3 MB
208 688.6 KB
2. Introducing New Data.mp4 22.1 MB
209 915.5 KB
16. idxmax() And idxmin().mp4 22.0 MB
210 1023.8 KB
11. Solution.mp4 22.0 MB
211 31.4 KB
6. Booleans And Comparison Operators.mp4 21.9 MB
212 126.6 KB
41. BONUS - How Are DataFrames Stored In Memory.mp4 21.7 MB
213 277.1 KB
6. The groupby() Method.mp4 21.6 MB
214 450.9 KB
12. Dropping And Filling NAs.mp4 21.5 MB
215 493.2 KB
7. BONUS Another Approach.mp4 21.3 MB
216 689.7 KB
1. Section Intro.mp4 21.1 MB
217 894.0 KB
12. Iterating Through Groups.mp4 21.0 MB
218 989.5 KB
9. BONUS - Series groupby().mp4 20.8 MB
219 206.0 KB
3. Anaconda.mp4 20.7 MB
220 299.5 KB
19. For Loops.mp4 20.6 MB
221 437.7 KB
8. Customizing Index To Group Mappings.mp4 20.5 MB
222 535.3 KB
31. Solution II - Mean, Median, And Standard Deviation.mp4 20.5 MB
223 537.8 KB
4. What’s In The Data.mp4 20.4 MB
224 603.5 KB
15. Left vs Right Joins.mp4 20.3 MB
225 750.3 KB
4. Creating A MultiIndex.mp4 20.1 MB
226 874.7 KB
12. Containers II Tuples.mp4 20.0 MB
227 992.8 KB
8. Conditions As Variables.mp4 19.9 MB
228 105.7 KB
7. The DataFrameGroupBy Object.mp4 19.8 MB
229 191.6 KB
21. Removing DataFrame Rows.mp4 19.8 MB
230 222.4 KB
2. Reading JSON.mp4 19.7 MB
231 265.6 KB
17. Sorting With sort_values().mp4 19.6 MB
232 374.4 KB
16. Membership Operators.mp4 19.3 MB
233 741.5 KB
22. Break And Continue.mp4 19.1 MB
234 881.9 KB
8. Series And Index Names.mp4 19.1 MB
235 899.7 KB
23. BONUS - Another Way pop().mp4 19.1 MB
236 956.7 KB
10. MultiIndex Pivot Tables.mp4 19.0 MB
237 973.9 KB
5. The info() Method.mp4 19.0 MB
238 983.8 KB
19. More Cleanup Going Numeric.mp4 18.6 MB
239 383.1 KB
21. An Easier Way transpose().mp4 18.6 MB
240 414.0 KB
4. Vectorized String Operations In Pandas.mp4 18.4 MB
241 579.3 KB
11. Applying Multiple Functions.mp4 18.3 MB
242 685.2 KB
20. BONUS What's The Point Of re.compile().mp4 18.3 MB
243 710.6 KB
2. Introducing A New Dataset.mp4 18.3 MB
244 717.6 KB
24. Cumulative Operations.mp4 17.9 MB
245 56.7 KB
2. Pandas Is Not Single.mp4 17.8 MB
246 199.4 KB
4. Unique Values And Series Monotonicity.mp4 17.8 MB
247 208.4 KB
10. A Cool Shorcut read_csv() With parse_dates.mp4 17.6 MB
248 395.7 KB
23. BONUS Calculating Variance And Standard Deviation.mp4 17.4 MB
249 651.1 KB
23. Zipping Iterables.mp4 17.2 MB
250 833.9 KB
2. Installing Anaconda And Python - Mac.mp4 17.1 MB
251 877.0 KB
13. Solution.mp4 17.1 MB
252 916.9 KB
1. Section Intro.mp4 17.1 MB
253 926.7 KB
16. 15. BONUS - Please Avoid Sorting Like This.mp4 17.1 MB
254 947.8 KB
8. BONUS - Use With pd.IndexSlice!.mp4 17.0 MB
255 33.4 KB
1. Section Intro.mp4 16.7 MB
256 325.1 KB
15. BONUS The add_prefix() And add_suffix() Methods.mp4 16.5 MB
257 526.2 KB
22. BONUS - Removing Columns.mp4 16.2 MB
258 828.4 KB
26. Series Iteration.mp4 16.1 MB
259 950.2 KB
18. Truth Value Of Non-booleans.mp4 15.9 MB
260 79.8 KB
19. Sorting With sort_index().mp4 15.3 MB
261 714.6 KB
2. New Data Game Sales.mp4 14.9 MB
262 108.4 KB
30. Solution I - Reading Data.mp4 14.6 MB
263 458.0 KB
8. The append() Method A Special Case Of concat().mp4 14.5 MB
264 527.6 KB
1. Course Structure.mp4 14.1 MB
265 964.3 KB
5. Case Operations.mp4 14.0 MB
266 995.9 KB
11. Solution.mp4 13.4 MB
267 567.3 KB
16. Using Dot Notation.mp4 13.2 MB
268 768.6 KB
2. The Art Of Data Visualization.mp4 13.0 MB
269 1008.7 KB
15. BONUS - Another Way.mp4 12.9 MB
270 55.1 KB
1. Section Intro.mp4 12.9 MB
271 68.2 KB
25. Pairwise Differences With diff().mp4 12.8 MB
272 216.6 KB
2. What Is A Series.mp4 12.5 MB
273 472.2 KB
8. Replicating Pivot Tables With GroupBy.mp4 12.5 MB
274 507.7 KB
18. nlargest() And nsmallest().mp4 12.2 MB
275 853.7 KB
9. Skill Challenge.mp4 11.7 MB
276 302.0 KB
9. BONUS Booleans Are Literally Numbers In Python.mp4 11.6 MB
277 390.4 KB
18. Extracting By Position With .iloc.mp4 11.6 MB
278 395.1 KB
11. Another Solution.mp4 11.2 MB
279 779.1 KB
8. The Other Side notnull() And notna().mp4 11.0 MB
280 985.5 KB
1. Section Intro.mp4 10.8 MB
281 193.9 KB
1. Section Intro.mp4 10.3 MB
282 689.8 KB
29. Skill Challenge.mp4 10.2 MB
283 822.1 KB
2. Data Types.mp4 10.2 MB
284 861.6 KB
6. BONUS What Is dtype('o'), Really.mp4 10.1 MB
285 922.4 KB
21. Solution.mp4 9.9 MB
286 92.7 KB
14. The describe() Method.mp4 9.7 MB
287 303.4 KB
1. Section Intro.mp4 8.9 MB
288 119.9 KB
34. Skill Challenge.mp4 8.8 MB
289 249.0 KB
3. Parameters vs Arguments.mp4 8.1 MB
290 948.4 KB
23. Skill Challenge.mp4 8.0 MB
291 1017.4 KB
1. Section Intro.mp4 8.0 MB
292 50.2 KB
9. Skill Challenge.mp4 7.7 MB
293 292.9 KB
11. Skill Challenge.mp4 7.5 MB
294 491.0 KB
1. Section Intro.mp4 6.9 MB
295 72.2 KB
35. Another Skill Challenge.mp4 6.8 MB
296 210.5 KB
22. Skill Challenge.mp4 6.4 MB
297 635.9 KB
5. The .dtype Attribute.mp4 6.4 MB
298 647.2 KB
5. The count() Method.mp4 6.0 MB
299 990.6 KB
10. Skill Challenge.mp4 6.0 MB
300 11.7 KB
12. Skill Challenge.mp4 5.5 MB
301 533.4 KB
22. Skill Challenge.mp4 5.4 MB
302 591.4 KB
28. Skill Challenge.mp4 5.3 MB
303 720.0 KB
1. Section Intro.mp4 5.2 MB
304 811.2 KB
42. Skill Challenge.mp4 5.0 MB
305 987.9 KB
22. Skill Challenge.mp4 4.7 MB
306 357.8 KB
17. Skill Challenge.mp4 4.5 MB
307 536.6 KB
nutrition.csv 4.4 MB
308 583.9 KB
33. Skill Challenge.mp4 4.3 MB
309 710.9 KB
17. Skill Challenge.mp4 4.1 MB
310 916.5 KB
20. Skill Challenge.mp4 4.1 MB
311 969.0 KB
10. Skill Challenge.mp4 4.0 MB
312 977.2 KB
9. Skill Challenge.mp4 4.0 MB
313 38.7 KB
20. Skill Challenge.mp4 3.8 MB
314 192.3 KB
12. Skill Challenge.mp4 3.8 MB
315 215.9 KB
10. Skill Challenge.mp4 3.8 MB
316 222.9 KB
10. Skill Challenge.mp4 3.2 MB
317 788.7 KB
10. Skill Challenge.mp4 3.2 MB
318 799.5 KB
20. Skill Challenge.mp4 3.2 MB

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