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[Udemy] The Ultimate Pandas Bootcamp Advanced Python Data Analysis (2021)

Magnet Download Download Torrent
File Name
Size
13. Data Formats And IO/3. Reading HTML.mp4
104 MB
1. Introduction/1. Course Structure.srt
1.8 kB
1. Introduction/2. Pandas Is Not Single.mp4
18 MB
1. Introduction/2. Pandas Is Not Single.srt
2.5 kB
1. Introduction/3. Anaconda.mp4
21 MB
1. Introduction/3. Anaconda.srt
3.8 kB
1. Introduction/4. Jupyter Notebooks.mp4
48 MB
1. Introduction/4. Jupyter Notebooks.srt
14 kB
1. Introduction/5. Cloud vs Local.mp4
26 MB
1. Introduction/5. Cloud vs Local.srt
7.0 kB
1. Introduction/6. Hello, Python.mp4
33 MB
1. Introduction/6. Hello, Python.srt
5.2 kB
1. Introduction/7. NumPy.mp4
62 MB
1. Introduction/7. NumPy.srt
14 kB
2. Series At A Glance/1. Section Intro.mp4
6.9 MB
2. Series At A Glance/1. Section Intro.srt
1.3 kB
2. Series At A Glance/2. What Is A Series.mp4
12 MB
2. Series At A Glance/2. What Is A Series.srt
4.8 kB
2. Series At A Glance/3. Parameters vs Arguments.mp4
8.1 MB
2. Series At A Glance/3. Parameters vs Arguments.srt
3.3 kB
2. Series At A Glance/4. What’s In The Data.mp4
20 MB
2. Series At A Glance/4. What’s In The Data.srt
6.8 kB
2. Series At A Glance/5. The .dtype Attribute.mp4
6.4 MB
2. Series At A Glance/5. The .dtype Attribute.srt
2.5 kB
2. Series At A Glance/6. BONUS What Is dtype('o'), Really.mp4
10 MB
2. Series At A Glance/6. BONUS What Is dtype('o'), Really.srt
4.0 kB
2. Series At A Glance/7. Index And RangeIndex.mp4
33 MB
2. Series At A Glance/7. Index And RangeIndex.srt
8.5 kB
2. Series At A Glance/8. Series And Index Names.mp4
19 MB
2. Series At A Glance/8. Series And Index Names.srt
6.2 kB
2. Series At A Glance/9. Skill Challenge.mp4
7.7 MB
2. Series At A Glance/9. Skill Challenge.srt
2.8 kB
2. Series At A Glance/10. Solution.mp4
23 MB
2. Series At A Glance/10. Solution.srt
4.7 kB
2. Series At A Glance/11. Another Solution.mp4
11 MB
2. Series At A Glance/11. Another Solution.srt
3.6 kB
2. Series At A Glance/12. The head() And tail() Methods.mp4
23 MB
2. Series At A Glance/12. The head() And tail() Methods.srt
6.2 kB
2. Series At A Glance/13. Extracting By Index Position.mp4
29 MB
2. Series At A Glance/13. Extracting By Index Position.srt
8.6 kB
2. Series At A Glance/14. Accessing Elements By Label.mp4
27 MB
2. Series At A Glance/14. Accessing Elements By Label.srt
7.9 kB
2. Series At A Glance/15. BONUS The add_prefix() And add_suffix() Methods.mp4
16 MB
2. Series At A Glance/15. BONUS The add_prefix() And add_suffix() Methods.srt
4.0 kB
2. Series At A Glance/16. Using Dot Notation.mp4
13 MB
2. Series At A Glance/16. Using Dot Notation.srt
4.5 kB
2. Series At A Glance/17. Boolean Masks And The .loc Indexer.mp4
30 MB
2. Series At A Glance/17. Boolean Masks And The .loc Indexer.srt
10 kB
2. Series At A Glance/18. Extracting By Position With .iloc.mp4
12 MB
2. Series At A Glance/18. Extracting By Position With .iloc.srt
4.4 kB
2. Series At A Glance/19. BONUS Using Callables With .loc And .iloc.mp4
37 MB
2. Series At A Glance/19. BONUS Using Callables With .loc And .iloc.srt
11 kB
2. Series At A Glance/20. Selecting With .get().mp4
30 MB
2. Series At A Glance/20. Selecting With .get().srt
5.7 kB
2. Series At A Glance/21. Selection Recap.mp4
28 MB
2. Series At A Glance/21. Selection Recap.srt
6.5 kB
2. Series At A Glance/22. Skill Challenge.mp4
6.4 MB
2. Series At A Glance/22. Skill Challenge.srt
2.3 kB
2. Series At A Glance/23. Solution.mp4
23 MB
2. Series At A Glance/23. Solution.srt
6.5 kB
3. Series Methods And Handling/1. Section Intro.mp4
13 MB
3. Series Methods And Handling/1. Section Intro.srt
2.4 kB
3. Series Methods And Handling/2. Reading In Data With read_csv().mp4
53 MB
3. Series Methods And Handling/2. Reading In Data With read_csv().srt
10 kB
3. Series Methods And Handling/3. Series Sizing With .size, .shape, And len().mp4
23 MB
3. Series Methods And Handling/3. Series Sizing With .size, .shape, And len().srt
5.4 kB
3. Series Methods And Handling/4. Unique Values And Series Monotonicity.mp4
18 MB
3. Series Methods And Handling/4. Unique Values And Series Monotonicity.srt
6.2 kB
3. Series Methods And Handling/5. The count() Method.mp4
6.0 MB
3. Series Methods And Handling/5. The count() Method.srt
2.8 kB
3. Series Methods And Handling/6. Accessing And Counting NAs.mp4
37 MB
3. Series Methods And Handling/6. Accessing And Counting NAs.srt
11 kB
3. Series Methods And Handling/7. BONUS Another Approach.mp4
21 MB
3. Series Methods And Handling/7. BONUS Another Approach.srt
5.7 kB
3. Series Methods And Handling/8. The Other Side notnull() And notna().mp4
11 MB
3. Series Methods And Handling/8. The Other Side notnull() And notna().srt
3.2 kB
3. Series Methods And Handling/9. BONUS Booleans Are Literally Numbers In Python.mp4
12 MB
3. Series Methods And Handling/9. BONUS Booleans Are Literally Numbers In Python.srt
3.8 kB
3. Series Methods And Handling/10. Skill Challenge.mp4
4.0 MB
3. Series Methods And Handling/10. Skill Challenge.srt
1.5 kB
3. Series Methods And Handling/11. Solution.mp4
13 MB
3. Series Methods And Handling/11. Solution.srt
3.7 kB
3. Series Methods And Handling/12. Dropping And Filling NAs.mp4
22 MB
3. Series Methods And Handling/12. Dropping And Filling NAs.srt
5.1 kB
3. Series Methods And Handling/13. Descriptive Statistics.mp4
34 MB
3. Series Methods And Handling/13. Descriptive Statistics.srt
9.2 kB
3. Series Methods And Handling/14. The describe() Method.mp4
9.7 MB
3. Series Methods And Handling/14. The describe() Method.srt
2.5 kB
3. Series Methods And Handling/15. mode() And value_counts().mp4
32 MB
3. Series Methods And Handling/15. mode() And value_counts().srt
8.1 kB
3. Series Methods And Handling/16. idxmax() And idxmin().mp4
22 MB
3. Series Methods And Handling/16. idxmax() And idxmin().srt
6.5 kB
3. Series Methods And Handling/17. Sorting With sort_values().mp4
20 MB
3. Series Methods And Handling/17. Sorting With sort_values().srt
5.7 kB
3. Series Methods And Handling/18. nlargest() And nsmallest().mp4
12 MB
3. Series Methods And Handling/18. nlargest() And nsmallest().srt
3.3 kB
3. Series Methods And Handling/19. Sorting With sort_index().mp4
15 MB
3. Series Methods And Handling/19. Sorting With sort_index().srt
4.0 kB
3. Series Methods And Handling/20. Skill Challenge.mp4
3.2 MB
3. Series Methods And Handling/20. Skill Challenge.srt
1.2 kB
3. Series Methods And Handling/21. Solution.mp4
9.9 MB
3. Series Methods And Handling/21. Solution.srt
2.5 kB
3. Series Methods And Handling/22. Series Arithmetics And fill_value().mp4
40 MB
3. Series Methods And Handling/22. Series Arithmetics And fill_value().srt
9.1 kB
3. Series Methods And Handling/23. BONUS Calculating Variance And Standard Deviation.mp4
17 MB
3. Series Methods And Handling/23. BONUS Calculating Variance And Standard Deviation.srt
5.2 kB
3. Series Methods And Handling/24. Cumulative Operations.mp4
18 MB
3. Series Methods And Handling/24. Cumulative Operations.srt
5.7 kB
3. Series Methods And Handling/25. Pairwise Differences With diff().mp4
13 MB
3. Series Methods And Handling/25. Pairwise Differences With diff().srt
4.3 kB
3. Series Methods And Handling/26. Series Iteration.mp4
16 MB
3. Series Methods And Handling/26. Series Iteration.srt
4.7 kB
3. Series Methods And Handling/27. Filtering filter(), where(), And mask().mp4
55 MB
3. Series Methods And Handling/27. Filtering filter(), where(), And mask().srt
13 kB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4
70 MB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().srt
15 kB
3. Series Methods And Handling/29. Skill Challenge.mp4
10 MB
3. Series Methods And Handling/29. Skill Challenge.srt
3.2 kB
3. Series Methods And Handling/30. Solution I - Reading Data.mp4
15 MB
3. Series Methods And Handling/30. Solution I - Reading Data.srt
2.6 kB
3. Series Methods And Handling/31. Solution II - Mean, Median, And Standard Deviation.mp4
20 MB
3. Series Methods And Handling/31. Solution II - Mean, Median, And Standard Deviation.srt
4.1 kB
3. Series Methods And Handling/32. Solution III - Z-scores.mp4
48 MB
3. Series Methods And Handling/32. Solution III - Z-scores.srt
9.6 kB
4. Working With DataFrames/1. Section Intro.mp4
11 MB
4. Working With DataFrames/1. Section Intro.srt
2.3 kB
4. Working With DataFrames/2. What Is A DataFrame.mp4
46 MB
4. Working With DataFrames/2. What Is A DataFrame.srt
12 kB
4. Working With DataFrames/3. Creating A DataFrame.mp4
22 MB
4. Working With DataFrames/3. Creating A DataFrame.srt
5.5 kB
4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.mp4
73 MB
4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.srt
17 kB
4. Working With DataFrames/5. The info() Method.mp4
19 MB
4. Working With DataFrames/5. The info() Method.srt
5.3 kB
4. Working With DataFrames/6. Reading In Nutrition Data.mp4
27 MB
4. Working With DataFrames/6. Reading In Nutrition Data.srt
4.6 kB
4. Working With DataFrames/7. Some Cleanup Removing The Duplicated Index.mp4
36 MB
4. Working With DataFrames/7. Some Cleanup Removing The Duplicated Index.srt
6.5 kB
4. Working With DataFrames/8. The sample() Method.mp4
23 MB
4. Working With DataFrames/8. The sample() Method.srt
4.8 kB
4. Working With DataFrames/9. BONUS - Sampling With Replacement Or Weights.mp4
40 MB
4. Working With DataFrames/9. BONUS - Sampling With Replacement Or Weights.srt
8.9 kB
4. Working With DataFrames/10. BONUS - How Are Random Numbers Generated.mp4
43 MB
4. Working With DataFrames/10. BONUS - How Are Random Numbers Generated.srt
6.7 kB
4. Working With DataFrames/11. DataFrame Axes.mp4
23 MB
4. Working With DataFrames/11. DataFrame Axes.srt
5.0 kB
4. Working With DataFrames/12. Changing The Index.mp4
50 MB
4. Working With DataFrames/12. Changing The Index.srt
8.7 kB
4. Working With DataFrames/13. Extracting From DataFrames By Label.mp4
36 MB
4. Working With DataFrames/13. Extracting From DataFrames By Label.srt
8.1 kB
4. Working With DataFrames/14. DataFrame Extraction by Position.mp4
47 MB
4. Working With DataFrames/14. DataFrame Extraction by Position.srt
9.7 kB
4. Working With DataFrames/15. Single Value Access With .at And .iat.mp4
26 MB
4. Working With DataFrames/15. Single Value Access With .at And .iat.srt
5.8 kB
4. Working With DataFrames/16. BONUS - The get_loc() Method.mp4
25 MB
4. Working With DataFrames/16. BONUS - The get_loc() Method.srt
7.4 kB
4. Working With DataFrames/17. Skill Challenge.mp4
4.1 MB
4. Working With DataFrames/17. Skill Challenge.srt
1.7 kB
4. Working With DataFrames/18. Solution.mp4
45 MB
4. Working With DataFrames/18. Solution.srt
9.7 kB
4. Working With DataFrames/19. More Cleanup Going Numeric.mp4
19 MB
4. Working With DataFrames/19. More Cleanup Going Numeric.srt
3.9 kB
4. Working With DataFrames/20. The astype() Method.mp4
25 MB
4. Working With DataFrames/20. The astype() Method.srt
7.3 kB
4. Working With DataFrames/21. DataFrame replace() + A Glimpse At Regex.mp4
44 MB
4. Working With DataFrames/21. DataFrame replace() + A Glimpse At Regex.srt
13 kB
4. Working With DataFrames/22. Part I Collecting The Units.mp4
67 MB
4. Working With DataFrames/22. Part I Collecting The Units.srt
16 kB
4. Working With DataFrames/23. The rename() Method.mp4
28 MB
4. Working With DataFrames/23. The rename() Method.srt
8.9 kB
4. Working With DataFrames/24. DataFrame dropna().mp4
40 MB
4. Working With DataFrames/24. DataFrame dropna().srt
12 kB
4. Working With DataFrames/25. BONUS - dropna() With Subset.mp4
29 MB
4. Working With DataFrames/25. BONUS - dropna() With Subset.srt
9.0 kB
4. Working With DataFrames/26. Part II Merging Units With Column Names.mp4
57 MB
4. Working With DataFrames/26. Part II Merging Units With Column Names.srt
13 kB
4. Working With DataFrames/27. Part III Removing Units From Values.mp4
36 MB
4. Working With DataFrames/27. Part III Removing Units From Values.srt
7.3 kB
4. Working With DataFrames/28. Filtering in 2D.mp4
42 MB
4. Working With DataFrames/28. Filtering in 2D.srt
10 kB
4. Working With DataFrames/29. DataFrame Sorting.mp4
49 MB
4. Working With DataFrames/29. DataFrame Sorting.srt
8.7 kB
4. Working With DataFrames/30. Using Series between() With DataFrames.mp4
35 MB
4. Working With DataFrames/30. Using Series between() With DataFrames.srt
7.0 kB
4. Working With DataFrames/31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4
63 MB
4. Working With DataFrames/31. BONUS - Min, Max and Idx[MinMax], And Good Foods.srt
10 kB
4. Working With DataFrames/32. DataFrame nlargest() And nsmallest().mp4
35 MB
4. Working With DataFrames/32. DataFrame nlargest() And nsmallest().srt
7.1 kB
4. Working With DataFrames/33. Skill Challenge.mp4
4.3 MB
4. Working With DataFrames/33. Skill Challenge.srt
1.7 kB
4. Working With DataFrames/34. Solution.mp4
42 MB
4. Working With DataFrames/34. Solution.srt
6.5 kB
4. Working With DataFrames/35. Another Skill Challenge.mp4
6.8 MB
4. Working With DataFrames/35. Another Skill Challenge.srt
2.3 kB
4. Working With DataFrames/36. Solution.mp4
37 MB
4. Working With DataFrames/36. Solution.srt
7.4 kB
5. DataFrames In Depth/1. Section Intro.mp4
21 MB
5. DataFrames In Depth/1. Section Intro.srt
3.1 kB
5. DataFrames In Depth/2. Introducing A New Dataset.mp4
18 MB
5. DataFrames In Depth/2. Introducing A New Dataset.srt
4.5 kB
5. DataFrames In Depth/3. Quick Review Indexing With Boolean Masks.mp4
23 MB
5. DataFrames In Depth/3. Quick Review Indexing With Boolean Masks.srt
4.3 kB
5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4
68 MB
5. DataFrames In Depth/4. More Approaches To Boolean Masking.srt
12 kB
5. DataFrames In Depth/5. Binary Operators With Booleans.mp4
38 MB
5. DataFrames In Depth/5. Binary Operators With Booleans.srt
12 kB
5. DataFrames In Depth/6. BONUS - XOR and Complement Binary Ops.mp4
50 MB
5. DataFrames In Depth/6. BONUS - XOR and Complement Binary Ops.srt
14 kB
5. DataFrames In Depth/7. Combining Conditions.mp4
46 MB
5. DataFrames In Depth/7. Combining Conditions.srt
8.4 kB
5. DataFrames In Depth/8. Conditions As Variables.mp4
20 MB
5. DataFrames In Depth/8. Conditions As Variables.srt
5.3 kB
5. DataFrames In Depth/9. Skill Challenge.mp4
4.0 MB
5. DataFrames In Depth/9. Skill Challenge.srt
1.5 kB
5. DataFrames In Depth/10. Solution.mp4
40 MB
5. DataFrames In Depth/10. Solution.srt
7.5 kB
5. DataFrames In Depth/11. 2d Indexing.mp4
40 MB
5. DataFrames In Depth/11. 2d Indexing.srt
11 kB
5. DataFrames In Depth/12. Fancy Indexing With lookup().mp4
46 MB
5. DataFrames In Depth/12. Fancy Indexing With lookup().srt
9.7 kB
5. DataFrames In Depth/13. Sorting By Index Or Column.mp4
45 MB
5. DataFrames In Depth/13. Sorting By Index Or Column.srt
7.6 kB
5. DataFrames In Depth/14. Sorting vs. Reordering.mp4
65 MB
5. DataFrames In Depth/14. Sorting vs. Reordering.srt
14 kB
5. DataFrames In Depth/15. BONUS - Another Way.mp4
13 MB
5. DataFrames In Depth/15. BONUS - Another Way.srt
2.6 kB
5. DataFrames In Depth/16. 15. BONUS - Please Avoid Sorting Like This.mp4
17 MB
5. DataFrames In Depth/16. 15. BONUS - Please Avoid Sorting Like This.srt
4.3 kB
5. DataFrames In Depth/17. Skill Challenge.mp4
4.5 MB
5. DataFrames In Depth/17. Skill Challenge.srt
1.5 kB
5. DataFrames In Depth/18. Solution.mp4
26 MB
5. DataFrames In Depth/18. Solution.srt
4.4 kB
5. DataFrames In Depth/19. Identifying Dupes.mp4
61 MB
5. DataFrames In Depth/19. Identifying Dupes.srt
13 kB
5. DataFrames In Depth/20. Removing Duplicates.mp4
30 MB
5. DataFrames In Depth/20. Removing Duplicates.srt
6.6 kB
5. DataFrames In Depth/21. Removing DataFrame Rows.mp4
20 MB
5. DataFrames In Depth/21. Removing DataFrame Rows.srt
3.4 kB
5. DataFrames In Depth/22. BONUS - Removing Columns.mp4
16 MB
5. DataFrames In Depth/22. BONUS - Removing Columns.srt
3.5 kB
5. DataFrames In Depth/23. BONUS - Another Way pop().mp4
19 MB
5. DataFrames In Depth/23. BONUS - Another Way pop().srt
5.3 kB
5. DataFrames In Depth/24. BONUS - A Sophisticated Alternative.mp4
33 MB
5. DataFrames In Depth/24. BONUS - A Sophisticated Alternative.srt
5.9 kB
5. DataFrames In Depth/25. Null Values In DataFrames.mp4
42 MB
5. DataFrames In Depth/25. Null Values In DataFrames.srt
8.2 kB
5. DataFrames In Depth/26. Dropping And Filling DataFrame NAs.mp4
49 MB
5. DataFrames In Depth/26. Dropping And Filling DataFrame NAs.srt
8.5 kB
5. DataFrames In Depth/27. BONUS - Methods And Axes With fillna().mp4
57 MB
5. DataFrames In Depth/27. BONUS - Methods And Axes With fillna().srt
11 kB
5. DataFrames In Depth/28. Skill Challenge.mp4
5.3 MB
5. DataFrames In Depth/28. Skill Challenge.srt
1.8 kB
5. DataFrames In Depth/29. Solution.mp4
42 MB
5. DataFrames In Depth/29. Solution.srt
8.0 kB
5. DataFrames In Depth/30. Calculating Aggregates With agg().mp4
37 MB
5. DataFrames In Depth/30. Calculating Aggregates With agg().srt
11 kB
5. DataFrames In Depth/31. Same-shape Transforms.mp4
67 MB
5. DataFrames In Depth/31. Same-shape Transforms.srt
18 kB
5. DataFrames In Depth/32. More Flexibility With apply().mp4
59 MB
5. DataFrames In Depth/32. More Flexibility With apply().srt
16 kB
5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4
68 MB
5. DataFrames In Depth/33. Element-wise Operations With applymap().srt
16 kB
5. DataFrames In Depth/34. Skill Challenge.mp4
8.8 MB
5. DataFrames In Depth/34. Skill Challenge.srt
2.6 kB
5. DataFrames In Depth/35. Solution.mp4
26 MB
5. DataFrames In Depth/35. Solution.srt
6.1 kB
5. DataFrames In Depth/36. Setting DataFrame Values.mp4
44 MB
5. DataFrames In Depth/36. Setting DataFrame Values.srt
7.8 kB
5. DataFrames In Depth/37. The SettingWithCopy Warning.mp4
40 MB
5. DataFrames In Depth/37. The SettingWithCopy Warning.srt
8.9 kB
5. DataFrames In Depth/38. View vs Copy.mp4
49 MB
5. DataFrames In Depth/38. View vs Copy.srt
11 kB
5. DataFrames In Depth/39. Adding DataFrame Columns.mp4
36 MB
5. DataFrames In Depth/39. Adding DataFrame Columns.srt
9.9 kB
5. DataFrames In Depth/40. Adding Rows To DataFrames.mp4
50 MB
5. DataFrames In Depth/40. Adding Rows To DataFrames.srt
11 kB
5. DataFrames In Depth/41. BONUS - How Are DataFrames Stored In Memory.mp4
22 MB
5. DataFrames In Depth/41. BONUS - How Are DataFrames Stored In Memory.srt
5.1 kB
5. DataFrames In Depth/42. Skill Challenge.mp4
5.0 MB
5. DataFrames In Depth/42. Skill Challenge.srt
2.0 kB
5. DataFrames In Depth/43. Solution.mp4
32 MB
5. DataFrames In Depth/43. Solution.srt
7.1 kB
6. Working With Multiple DataFrames/1. Section Intro.mp4
8.0 MB
6. Working With Multiple DataFrames/1. Section Intro.srt
1.5 kB
6. Working With Multiple DataFrames/2. Introducing (Five) New Datasets.mp4
41 MB
6. Working With Multiple DataFrames/2. Introducing (Five) New Datasets.srt
6.6 kB
6. Working With Multiple DataFrames/3. Concatenating DataFrames.mp4
42 MB
6. Working With Multiple DataFrames/3. Concatenating DataFrames.srt
8.8 kB
6. Working With Multiple DataFrames/4. The Duplicated Index Issue.mp4
51 MB
6. Working With Multiple DataFrames/4. The Duplicated Index Issue.srt
8.7 kB
6. Working With Multiple DataFrames/5. Enforcing Unique Indices.mp4
58 MB
6. Working With Multiple DataFrames/5. Enforcing Unique Indices.srt
9.1 kB
6. Working With Multiple DataFrames/6. BONUS - Creating Multiple Indices With concat().mp4
28 MB
6. Working With Multiple DataFrames/6. BONUS - Creating Multiple Indices With concat().srt
5.3 kB
6. Working With Multiple DataFrames/7. Column Axis Concatenation.mp4
27 MB
6. Working With Multiple DataFrames/7. Column Axis Concatenation.srt
5.3 kB
6. Working With Multiple DataFrames/8. The append() Method A Special Case Of concat().mp4
14 MB
6. Working With Multiple DataFrames/8. The append() Method A Special Case Of concat().srt
3.1 kB
6. Working With Multiple DataFrames/9. Concat On Different Columns.mp4
38 MB
6. Working With Multiple DataFrames/9. Concat On Different Columns.srt
5.9 kB
6. Working With Multiple DataFrames/10. Skill Challenge.mp4
6.0 MB
6. Working With Multiple DataFrames/10. Skill Challenge.srt
2.1 kB
6. Working With Multiple DataFrames/11. Solution.mp4
60 MB
6. Working With Multiple DataFrames/11. Solution.srt
13 kB
6. Working With Multiple DataFrames/12. The merge() Method.mp4
35 MB
6. Working With Multiple DataFrames/12. The merge() Method.srt
6.8 kB
6. Working With Multiple DataFrames/13. The left_on And right_on Params.mp4
32 MB
6. Working With Multiple DataFrames/13. The left_on And right_on Params.srt
5.2 kB
6. Working With Multiple DataFrames/14. Inner vs Outer Joins.mp4
27 MB
6. Working With Multiple DataFrames/14. Inner vs Outer Joins.srt
6.3 kB
6. Working With Multiple DataFrames/15. Left vs Right Joins.mp4
20 MB
6. Working With Multiple DataFrames/15. Left vs Right Joins.srt
4.4 kB
6. Working With Multiple DataFrames/16. One-to-One and One-to-Many Joins.mp4
57 MB
6. Working With Multiple DataFrames/16. One-to-One and One-to-Many Joins.srt
10 kB
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14. Appendix A - Rapid-Fire Python Fundamentals/25. Defining Functions.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/25. Defining Functions.srt
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14. Appendix A - Rapid-Fire Python Fundamentals/26. Function Arguments Positional vs Keyword.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/26. Function Arguments Positional vs Keyword.srt
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14. Appendix A - Rapid-Fire Python Fundamentals/27. Lambdas.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/27. Lambdas.srt
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14. Appendix A - Rapid-Fire Python Fundamentals/28. Importing Modules.mp4
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14. Appendix A - Rapid-Fire Python Fundamentals/28. Importing Modules.srt
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15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4
71 MB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.srt
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15. Appendix B - Going Local Installation And Setup/2. Installing Anaconda And Python - Mac.mp4
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15. Appendix B - Going Local Installation And Setup/2. Installing Anaconda And Python - Mac.srt
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15. Appendix B - Going Local Installation And Setup/3. Installing Anaconda And Python - Linux.mp4
31 MB
15. Appendix B - Going Local Installation And Setup/3. Installing Anaconda And Python - Linux.srt
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Sources/3KeyConcepts.pdf
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Sources/2017BostonMarathonTop1000 (1).csv
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Sources/2017BostonMarathonTop1000.csv
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Sources/Appendix_A_Rapid_Fire_Python_Fundamentals.ipynb.zip
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Sources/AppendVsConcat.pdf
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Sources/ArgsVParams.pdf
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Sources/AtAndIat.pdf
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Sources/BinaryOperators.pdf
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Sources/BooleanMasks.pdf
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Sources/BoolsAsInts.pdf
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Sources/BrentOilPrices (1).csv
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Sources/BrentOilPrices.csv
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Sources/Comparators.pdf
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Sources/ConcatVsMerge.pdf
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Sources/Data_Formats_And_I_O.ipynb.zip
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Sources/DataFrames_In_Depth.zip
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Sources/Diff.pdf
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Sources/drinks (1).csv
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Sources/drinks (2).csv
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Sources/drinks.csv
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Sources/DropnaWithSubset.pdf
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Sources/DroppingAndFillingNA.pdf
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Sources/Duplicates.pdf
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Sources/eng.csv
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Sources/folks.json
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Sources/folks.xlsx
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Sources/games_sales (1).csv
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Sources/games_sales (2).csv
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Sources/games_sales.csv
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Sources/Going_MultiDimensional.zip
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Sources/GroupBy_And_Aggregates.ipynb.zip
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Sources/Handling_Time_And_Date.ipynb.zip
105 kB
Sources/IdxminIdxmax.pdf
40 kB
Sources/IndexingWithCallables.pdf
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Sources/InnerVsOuter.pdf
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Sources/ivies.csv
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Sources/JoinCardinalities.pdf
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Sources/LeftVsRight.pdf
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Sources/liberal_arts.csv
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Sources/Lookup.pdf
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Sources/Median.pdf
32 kB
Sources/MemoryLayout.pdf
246 kB
Sources/MethodsVAttribtues.pdf
32 kB
Sources/mid_career_salaries.csv
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Sources/MoreWaysToBuildDataframes.pdf
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Sources/MultiIndexInternals.pdf
111 kB
Sources/nutrition.csv
4.4 MB
Sources/OurProcess.pdf
33 kB
Sources/portfolio.zip
1.4 kB
Sources/RangeVSInt64Index.pdf
38 kB
Sources/Regex_And_Text_Manipulation.ipynb.zip
30 kB
Sources/regions.csv
11 kB
Sources/Reshaping_With_Pivots.ipynb.zip
17 kB
Sources/scores (1).csv
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Sources/scores.csv
75 kB
Sources/SelectionRecap.pdf
111 kB
Sources/SelectionTerminology.pdf
67 kB
Sources/SeqVsVectorizedOperations.pdf
42 kB
Sources/Series_At_Glance.zip
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Sources/Series_Methods_And_Handling.zip
32 kB
Sources/SeriesAccounting.pdf
42 kB
Sources/SeriesAtGlance.pdf
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Sources/SizeAndShape.pdf
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Sources/soccer.csv
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Sources/SortValueOrIndex.pdf
44 kB
Sources/SplitApplyCombine.pdf
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Sources/state.csv
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Sources/tech_giants (1).csv
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Sources/tech_giants.csv
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Sources/Transforms.pdf
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Sources/TwosComplement.pdf
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Sources/ValueCounts.pdf
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Sources/Variance.pdf
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Sources/Vectorization.pdf
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Sources/ViewVsCopy.pdf
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Sources/ViewVsCopyHowDoWeTell.pdf
27 kB
Sources/Visualizing_Data.ipynb.zip
501 kB
Sources/WhatIsASeries.pdf
75 kB
Sources/WhatIsCSV.pdf
63 kB
Sources/WhatIsDtype.pdf
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Sources/WhatsInTheData.pdf
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Sources/Working_With_DataFrames.zip
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Sources/Working_With_Multiple_DataFrames.zip
27 kB