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

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种子名称: [FreeCourseSite.com] Udemy - Python & Introduction to Data Science
文件类型: 视频
文件数目: 68个文件
文件大小: 3.65 GB
收录时间: 2022-1-2 17:00
已经下载: 3
资源热度: 159
最近下载: 2024-11-3 07:35

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[FreeCourseSite.com] Udemy - Python & Introduction to Data Science.torrent
  • 1. Introduction/1. 01 Python & Introduction to Data Science.mp429.69MB
  • 2. Python/1. 2.01 Configuration of the development environment.mp447.07MB
  • 2. Python/10. 2.10 Dictionaries in Python.mp431.64MB
  • 2. Python/11. 2.11 Functions with dictionaries.mp455.5MB
  • 2. Python/12. 2.12 Set in Python.mp457.62MB
  • 2. Python/13. 2.13 Assignment mechanism in Python.mp418.86MB
  • 2. Python/14. 2.14 Conditional instructions in Python.mp442.33MB
  • 2. Python/15. 2.15 Python iteration instructions.mp454.44MB
  • 2. Python/16. 2.16 Creating functions in Python.mp452.55MB
  • 2. Python/17. 2.17 Scripts and modules in Python.mp484.91MB
  • 2. Python/18. 2.18 Error handling in Python.mp488.99MB
  • 2. Python/19. 2.19 Reading and writing files in Python.mp4134.71MB
  • 2. Python/2. 2.02 How to install Python libraries.mp471.31MB
  • 2. Python/20. 2.20 Classes in Python.mp479.73MB
  • 2. Python/21. 2.21 Inheritance of classes in Python.mp464.41MB
  • 2. Python/22. 2.22 Time management functions.mp450.39MB
  • 2. Python/23. 2.23 Practical exercises with Python (1).mp434.02MB
  • 2. Python/24. 2.24 Practical exercises with Python (2).mp486.23MB
  • 2. Python/25. 2.25 Practical exercises with Python (3).mp420.53MB
  • 2. Python/26. 2.26 Practical exercises with Python (4).mp446.41MB
  • 2. Python/27. 2.27 Practical exercises with Python (5).mp411.11MB
  • 2. Python/28. 2.28 Practical exercises with Python (6).mp412.86MB
  • 2. Python/3. 2.03 Basic Notebook Controls.mp484.53MB
  • 2. Python/4. 2.04 Introduction to Python.mp459.14MB
  • 2. Python/5. 2.05 Operations in Python.mp413.91MB
  • 2. Python/6. 2.06 Variables and conversions in Python.mp449.01MB
  • 2. Python/7. 2.07 Strings and functions of modifications.mp459.43MB
  • 2. Python/8. 2.08 Python’s Lists.mp457.94MB
  • 2. Python/9. 2.09 Functions with lists.mp466.77MB
  • 3. Numpy/1. 3.01 Introduction to Numpy.mp447.94MB
  • 3. Numpy/10. 3.10 Functions to create arrays in Numpy (2).mp446.34MB
  • 3. Numpy/11. 3.11 Logical operations in Numpy.mp418.53MB
  • 3. Numpy/12. 3.12 Random in Numpy.mp463.56MB
  • 3. Numpy/13. 3.13 Reading files in Numpy.mp456.38MB
  • 3. Numpy/14. 3.14 Writing files in Numpy.mp474.55MB
  • 3. Numpy/15. 3.15 Practical exercises with Numpy (1).mp412.15MB
  • 3. Numpy/16. 3.16 Practical exercises with Numpy (2).mp420.54MB
  • 3. Numpy/17. 3.17 Practical exercises with Numpy (3).mp411.68MB
  • 3. Numpy/18. 3.18 Practical exercises with Numpy (4).mp416.56MB
  • 3. Numpy/19. 3.19 Practical exercises with Numpy (5).mp48.16MB
  • 3. Numpy/2. 3.02 Arrays in Numpy.mp435.96MB
  • 3. Numpy/20. 3.20 Practical exercises with Numpy (6).mp48.31MB
  • 3. Numpy/21. 3.21 Practical exercises with Numpy (7).mp411.17MB
  • 3. Numpy/3. 3.03 Indexing of matrices in Numpy.mp437.92MB
  • 3. Numpy/4. 3.04 Copy, arange and random in Numpy.mp439.16MB
  • 3. Numpy/5. 3.05 Data type and conversion to Numpy.mp433.89MB
  • 3. Numpy/6. 3.06 Mathematical Functions in Numpy.mp482.25MB
  • 3. Numpy/7. 3.07 Order functions in Numpy.mp427.08MB
  • 3. Numpy/8. 3.08 Data management functions in Numpy.mp485.76MB
  • 3. Numpy/9. 3.09 Functions to create arrays in Numpy (1).mp431.83MB
  • 4. Pandas/1. 4.01 Introduction to Pandas.mp469.43MB
  • 4. Pandas/10. 4.10 Pivot chart in Pandas.mp472.82MB
  • 4. Pandas/11. 4.11 Managing dates in Pandas (1).mp443.91MB
  • 4. Pandas/12. 4.12 Managing dates in Pandas (2).mp4104.51MB
  • 4. Pandas/13. 4.13 Processing data in Pandas (1).mp453.88MB
  • 4. Pandas/14. 4.14 Processing of data in Pandas (2).mp463.27MB
  • 4. Pandas/15. 4.15 Methods for editing strings in Pandas.mp459.56MB
  • 4. Pandas/16. 4.16 Advanced indexing methods in Pandas.mp457.28MB
  • 4. Pandas/17. 4.17 Create graphs in Pandas.mp477.87MB
  • 4. Pandas/18. 4.18 Memory management for large data.mp4245.65MB
  • 4. Pandas/2. 4.02 DataFrame and Series in Pandas.mp4107.64MB
  • 4. Pandas/3. 4.03 Indexing methods in Pandas.mp491.76MB
  • 4. Pandas/4. 4.04 Groupby in Pandas.mp435.62MB
  • 4. Pandas/5. 4.05 Mathematical Operations in Pandas.mp439.54MB
  • 4. Pandas/6. 4.06 Indexing and editing of a Series data.mp468.8MB
  • 4. Pandas/7. 4.07 Indexing, editing and deletion of a DataFrame.mp469.2MB
  • 4. Pandas/8. 4.08 Merge in DataFrame.mp455.55MB
  • 4. Pandas/9. 4.09 Display options in Pandas.mp489.2MB