[FreeCourseSite.com] Udemy - Python & Introduction to Data Science

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Last Access Time	April 14, 2025, 9:19 p.m.
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4. Pandas/18. 4.18 Memory management for large data.mp4 245.7 MB
2. Python/19. 2.19 Reading and writing files in Python.mp4 134.7 MB
4. Pandas/2. 4.02 DataFrame and Series in Pandas.mp4 107.6 MB
4. Pandas/12. 4.12 Managing dates in Pandas (2).mp4 104.5 MB
4. Pandas/3. 4.03 Indexing methods in Pandas.mp4 91.8 MB
4. Pandas/9. 4.09 Display options in Pandas.mp4 89.2 MB
2. Python/18. 2.18 Error handling in Python.mp4 89.0 MB
2. Python/24. 2.24 Practical exercises with Python (2).mp4 86.2 MB
3. Numpy/8. 3.08 Data management functions in Numpy.mp4 85.8 MB
2. Python/17. 2.17 Scripts and modules in Python.mp4 84.9 MB
2. Python/3. 2.03 Basic Notebook Controls.mp4 84.5 MB
3. Numpy/6. 3.06 Mathematical Functions in Numpy.mp4 82.3 MB
2. Python/20. 2.20 Classes in Python.mp4 79.7 MB
4. Pandas/17. 4.17 Create graphs in Pandas.mp4 77.9 MB
3. Numpy/14. 3.14 Writing files in Numpy.mp4 74.5 MB
4. Pandas/10. 4.10 Pivot chart in Pandas.mp4 72.8 MB
2. Python/2. 2.02 How to install Python libraries.mp4 71.3 MB
4. Pandas/1. 4.01 Introduction to Pandas.mp4 69.4 MB
4. Pandas/7. 4.07 Indexing, editing and deletion of a DataFrame.mp4 69.2 MB
4. Pandas/6. 4.06 Indexing and editing of a Series data.mp4 68.8 MB
2. Python/9. 2.09 Functions with lists.mp4 66.8 MB
2. Python/21. 2.21 Inheritance of classes in Python.mp4 64.4 MB
3. Numpy/12. 3.12 Random in Numpy.mp4 63.6 MB
4. Pandas/14. 4.14 Processing of data in Pandas (2).mp4 63.3 MB
4. Pandas/15. 4.15 Methods for editing strings in Pandas.mp4 59.6 MB
2. Python/7. 2.07 Strings and functions of modifications.mp4 59.4 MB
2. Python/4. 2.04 Introduction to Python.mp4 59.1 MB
2. Python/8. 2.08 Python’s Lists.mp4 57.9 MB
2. Python/12. 2.12 Set in Python.mp4 57.6 MB
4. Pandas/16. 4.16 Advanced indexing methods in Pandas.mp4 57.3 MB
3. Numpy/13. 3.13 Reading files in Numpy.mp4 56.4 MB
4. Pandas/8. 4.08 Merge in DataFrame.mp4 55.6 MB
2. Python/11. 2.11 Functions with dictionaries.mp4 55.5 MB
2. Python/15. 2.15 Python iteration instructions.mp4 54.4 MB
4. Pandas/13. 4.13 Processing data in Pandas (1).mp4 53.9 MB
2. Python/16. 2.16 Creating functions in Python.mp4 52.6 MB
2. Python/22. 2.22 Time management functions.mp4 50.4 MB
2. Python/6. 2.06 Variables and conversions in Python.mp4 49.0 MB
3. Numpy/1. 3.01 Introduction to Numpy.mp4 47.9 MB
2. Python/1. 2.01 Configuration of the development environment.mp4 47.1 MB
2. Python/26. 2.26 Practical exercises with Python (4).mp4 46.4 MB
3. Numpy/10. 3.10 Functions to create arrays in Numpy (2).mp4 46.3 MB
4. Pandas/11. 4.11 Managing dates in Pandas (1).mp4 43.9 MB
2. Python/14. 2.14 Conditional instructions in Python.mp4 42.3 MB
4. Pandas/5. 4.05 Mathematical Operations in Pandas.mp4 39.5 MB
3. Numpy/4. 3.04 Copy, arange and random in Numpy.mp4 39.2 MB
3. Numpy/3. 3.03 Indexing of matrices in Numpy.mp4 37.9 MB
3. Numpy/2. 3.02 Arrays in Numpy.mp4 36.0 MB
4. Pandas/4. 4.04 Groupby in Pandas.mp4 35.6 MB
2. Python/23. 2.23 Practical exercises with Python (1).mp4 34.0 MB
3. Numpy/5. 3.05 Data type and conversion to Numpy.mp4 33.9 MB
3. Numpy/9. 3.09 Functions to create arrays in Numpy (1).mp4 31.8 MB
2. Python/10. 2.10 Dictionaries in Python.mp4 31.6 MB
1. Introduction/1. 01 Python & Introduction to Data Science.mp4 29.7 MB
3. Numpy/7. 3.07 Order functions in Numpy.mp4 27.1 MB
3. Numpy/16. 3.16 Practical exercises with Numpy (2).mp4 20.5 MB
2. Python/25. 2.25 Practical exercises with Python (3).mp4 20.5 MB
2. Python/2.1 Course Materials.zip.zip 19.7 MB
2. Python/13. 2.13 Assignment mechanism in Python.mp4 18.9 MB
3. Numpy/11. 3.11 Logical operations in Numpy.mp4 18.5 MB
3. Numpy/18. 3.18 Practical exercises with Numpy (4).mp4 16.6 MB
2. Python/5. 2.05 Operations in Python.mp4 13.9 MB
2. Python/28. 2.28 Practical exercises with Python (6).mp4 12.9 MB
3. Numpy/15. 3.15 Practical exercises with Numpy (1).mp4 12.1 MB
3. Numpy/17. 3.17 Practical exercises with Numpy (3).mp4 11.7 MB
3. Numpy/21. 3.21 Practical exercises with Numpy (7).mp4 11.2 MB
2. Python/27. 2.27 Practical exercises with Python (5).mp4 11.1 MB
3. Numpy/20. 3.20 Practical exercises with Numpy (6).mp4 8.3 MB
3. Numpy/19. 3.19 Practical exercises with Numpy (5).mp4 8.2 MB
4. Pandas/18. 4.18 Memory management for large data.vtt 24.2 KB
2. Python/19. 2.19 Reading and writing files in Python.vtt 13.7 KB
3. Numpy/6. 3.06 Mathematical Functions in Numpy.vtt 11.8 KB
2. Python/17. 2.17 Scripts and modules in Python.vtt 11.5 KB
2. Python/20. 2.20 Classes in Python.vtt 11.0 KB
4. Pandas/12. 4.12 Managing dates in Pandas (2).vtt 10.4 KB
3. Numpy/8. 3.08 Data management functions in Numpy.vtt 10.1 KB
4. Pandas/2. 4.02 DataFrame and Series in Pandas.vtt 10.0 KB
4. Pandas/6. 4.06 Indexing and editing of a Series data.vtt 9.9 KB
2. Python/18. 2.18 Error handling in Python.vtt 9.7 KB
4. Pandas/3. 4.03 Indexing methods in Pandas.vtt 9.5 KB
4. Pandas/17. 4.17 Create graphs in Pandas.vtt 8.7 KB
4. Pandas/10. 4.10 Pivot chart in Pandas.vtt 8.3 KB
4. Pandas/9. 4.09 Display options in Pandas.vtt 8.2 KB
2. Python/9. 2.09 Functions with lists.vtt 8.2 KB
2. Python/15. 2.15 Python iteration instructions.vtt 8.2 KB
2. Python/8. 2.08 Python’s Lists.vtt 8.2 KB
2. Python/12. 2.12 Set in Python.vtt 8.2 KB
4. Pandas/7. 4.07 Indexing, editing and deletion of a DataFrame.vtt 8.0 KB
2. Python/21. 2.21 Inheritance of classes in Python.vtt 7.8 KB
4. Pandas/1. 4.01 Introduction to Pandas.vtt 7.6 KB
2. Python/3. 2.03 Basic Notebook Controls.vtt 7.6 KB
4. Pandas/14. 4.14 Processing of data in Pandas (2).vtt 7.1 KB
3. Numpy/12. 3.12 Random in Numpy.vtt 7.1 KB
4. Pandas/13. 4.13 Processing data in Pandas (1).vtt 7.0 KB
3. Numpy/1. 3.01 Introduction to Numpy.vtt 7.0 KB
2. Python/24. 2.24 Practical exercises with Python (2).vtt 7.0 KB
2. Python/16. 2.16 Creating functions in Python.vtt 6.9 KB
3. Numpy/14. 3.14 Writing files in Numpy.vtt 6.9 KB
2. Python/11. 2.11 Functions with dictionaries.vtt 6.8 KB
4. Pandas/8. 4.08 Merge in DataFrame.vtt 6.8 KB
2. Python/7. 2.07 Strings and functions of modifications.vtt 6.8 KB
2. Python/6. 2.06 Variables and conversions in Python.vtt 6.5 KB
4. Pandas/15. 4.15 Methods for editing strings in Pandas.vtt 6.4 KB
2. Python/22. 2.22 Time management functions.vtt 6.0 KB
2. Python/14. 2.14 Conditional instructions in Python.vtt 5.9 KB
4. Pandas/11. 4.11 Managing dates in Pandas (1).vtt 5.8 KB
2. Python/4. 2.04 Introduction to Python.vtt 5.7 KB
4. Pandas/16. 4.16 Advanced indexing methods in Pandas.vtt 5.7 KB
3. Numpy/2. 3.02 Arrays in Numpy.vtt 5.6 KB
3. Numpy/3. 3.03 Indexing of matrices in Numpy.vtt 5.5 KB
3. Numpy/13. 3.13 Reading files in Numpy.vtt 5.4 KB
3. Numpy/10. 3.10 Functions to create arrays in Numpy (2).vtt 5.2 KB
4. Pandas/5. 4.05 Mathematical Operations in Pandas.vtt 5.1 KB
3. Numpy/4. 3.04 Copy, arange and random in Numpy.vtt 5.1 KB
2. Python/1. 2.01 Configuration of the development environment.vtt 4.8 KB
2. Python/10. 2.10 Dictionaries in Python.vtt 4.7 KB
3. Numpy/5. 3.05 Data type and conversion to Numpy.vtt 4.5 KB
2. Python/2. 2.02 How to install Python libraries.vtt 4.3 KB
2. Python/26. 2.26 Practical exercises with Python (4).vtt 4.3 KB
4. Pandas/4. 4.04 Groupby in Pandas.vtt 4.2 KB
3. Numpy/7. 3.07 Order functions in Numpy.vtt 3.6 KB
2. Python/23. 2.23 Practical exercises with Python (1).vtt 3.6 KB
3. Numpy/9. 3.09 Functions to create arrays in Numpy (1).vtt 3.5 KB
2. Python/13. 2.13 Assignment mechanism in Python.vtt 2.8 KB
2. Python/25. 2.25 Practical exercises with Python (3).vtt 2.4 KB
2. Python/5. 2.05 Operations in Python.vtt 2.4 KB
3. Numpy/11. 3.11 Logical operations in Numpy.vtt 2.4 KB
1. Introduction/1. 01 Python & Introduction to Data Science.vtt 2.4 KB
2. Python/28. 2.28 Practical exercises with Python (6).vtt 2.0 KB
3. Numpy/18. 3.18 Practical exercises with Numpy (4).vtt 1.9 KB
3. Numpy/16. 3.16 Practical exercises with Numpy (2).vtt 1.5 KB
2. Python/27. 2.27 Practical exercises with Python (5).vtt 1.4 KB
3. Numpy/17. 3.17 Practical exercises with Numpy (3).vtt 1.3 KB
3. Numpy/15. 3.15 Practical exercises with Numpy (1).vtt 1.2 KB
3. Numpy/21. 3.21 Practical exercises with Numpy (7).vtt 1.1 KB
3. Numpy/19. 3.19 Practical exercises with Numpy (5).vtt 1.1 KB
3. Numpy/20. 3.20 Practical exercises with Numpy (6).vtt 934 bytes
[FCS Forum].url 133 bytes
[FreeCourseSite.com].url 127 bytes
[CourseClub.NET].url 123 bytes

[FreeCourseSite.com] Udemy - Python & Introduction to Data Science

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