[FreeCourseSite.com] Udemy - The Ultimate Pandas Bootcamp Advanced Python Data Analysis

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文件数目：725个文件
文件大小：9.63 GB
收录时间：2022-02-25
访问次数：4
相关内容：FreeCourseSite Udemy Ultimate Pandas Bootcamp Advanced Python Data Analysis

文件meta

13. Data Formats And IO/3. Reading HTML.mp4
103.72 MB
11. Regex And Text Manipulation/19. Is This A Valid Email.mp4
80.08 MB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp4
76.29 MB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.mp4
75.02 MB
13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.mp4
74.01 MB
4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.mp4
73.23 MB
11. Regex And Text Manipulation/23. Solution.mp4
72.37 MB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4
71.34 MB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4
69.92 MB
5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4
68.51 MB
5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4
68.42 MB
5. DataFrames In Depth/31. Same-shape Transforms.mp4
66.98 MB
4. Working With DataFrames/22. Part I Collecting The Units.mp4
66.82 MB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4
66.3 MB
5. DataFrames In Depth/14. Sorting vs. Reordering.mp4
65.24 MB
11. Regex And Text Manipulation/17. More Regex Concepts.mp4
65.17 MB
12. Visualizing Data/9. Other Visualization Options.mp4
63.65 MB
11. Regex And Text Manipulation/18. How To Approach Regex.mp4
63.52 MB
12. Visualizing Data/8. Scatter Plots.mp4
63.39 MB
4. Working With DataFrames/31. BONUS - Min, Max and Idx[MinMax], And Good Foods.mp4
62.98 MB
12. Visualizing Data/3. The Preliminaries Of matplotlib.mp4
62.88 MB
1. Introduction/7. NumPy.mp4
62.19 MB
5. DataFrames In Depth/19. Identifying Dupes.mp4
60.88 MB
6. Working With Multiple DataFrames/11. Solution.mp4
59.47 MB
5. DataFrames In Depth/32. More Flexibility With apply().mp4
59.38 MB
7. Going MultiDimensional/7. Indexing Ranges And Slices.mp4
59.11 MB
7. Going MultiDimensional/20. BONUS Creating MultiLevel Columns Manually.mp4
58.73 MB
6. Working With Multiple DataFrames/5. Enforcing Unique Indices.mp4
58.39 MB
14. Appendix A - Rapid-Fire Python Fundamentals/25. Defining Functions.mp4
57.77 MB
5. DataFrames In Depth/27. BONUS - Methods And Axes With fillna().mp4
57.38 MB
4. Working With DataFrames/26. Part II Merging Units With Column Names.mp4
57.28 MB
6. Working With Multiple DataFrames/16. One-to-One and One-to-Many Joins.mp4
57.01 MB
13. Data Formats And IO/4. Reading Excel.mp4
55.72 MB
6. Working With Multiple DataFrames/17. Many-to-Many Joins.mp4
55.62 MB
3. Series Methods And Handling/27. Filtering filter(), where(), And mask().mp4
55.05 MB
12. Visualizing Data/6. Pie Plots.mp4
54.89 MB
12. Visualizing Data/12. Solution.mp4
54.25 MB
12. Visualizing Data/4. Line Graphs.mp4
54.18 MB
14. Appendix A - Rapid-Fire Python Fundamentals/13. Containers III Sets.mp4
52.97 MB
10. Handling Date And Time/3. Parsing Dates From Text.mp4
52.82 MB
3. Series Methods And Handling/2. Reading In Data With read_csv().mp4
52.81 MB
6. Working With Multiple DataFrames/4. The Duplicated Index Issue.mp4
51.32 MB
5. DataFrames In Depth/6. BONUS - XOR and Complement Binary Ops.mp4
50.47 MB
4. Working With DataFrames/12. Changing The Index.mp4
50.38 MB
12. Visualizing Data/5. Bar Charts.mp4
50.14 MB
5. DataFrames In Depth/40. Adding Rows To DataFrames.mp4
49.9 MB
4. Working With DataFrames/29. DataFrame Sorting.mp4
49.42 MB
10. Handling Date And Time/19. Upsampling And Interpolation.mp4
49.4 MB
5. DataFrames In Depth/38. View vs Copy.mp4
49.3 MB
7. Going MultiDimensional/24. Solution.mp4
49.18 MB