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[] Udemy - Python & Introduction to Data Science

  • 收录时间:2019-11-28 22:16:27
  • 文件大小:4GB
  • 下载次数:80
  • 最近下载:2021-01-23 08:37:35
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文件列表

  1. 4. Pandas/18. 4.18 Memory management for large data.mp4 246MB
  2. 2. Python/19. 2.19 Reading and writing files in Python.mp4 135MB
  3. 4. Pandas/2. 4.02 DataFrame and Series in Pandas.mp4 108MB
  4. 4. Pandas/12. 4.12 Managing dates in Pandas (2).mp4 105MB
  5. 4. Pandas/3. 4.03 Indexing methods in Pandas.mp4 92MB
  6. 4. Pandas/9. 4.09 Display options in Pandas.mp4 89MB
  7. 2. Python/18. 2.18 Error handling in Python.mp4 89MB
  8. 2. Python/24. 2.24 Practical exercises with Python (2).mp4 86MB
  9. 3. Numpy/8. 3.08 Data management functions in Numpy.mp4 86MB
  10. 2. Python/17. 2.17 Scripts and modules in Python.mp4 85MB
  11. 2. Python/3. 2.03 Basic Notebook Controls.mp4 85MB
  12. 3. Numpy/6. 3.06 Mathematical Functions in Numpy.mp4 82MB
  13. 2. Python/20. 2.20 Classes in Python.mp4 80MB
  14. 4. Pandas/17. 4.17 Create graphs in Pandas.mp4 78MB
  15. 3. Numpy/14. 3.14 Writing files in Numpy.mp4 75MB
  16. 4. Pandas/10. 4.10 Pivot chart in Pandas.mp4 73MB
  17. 2. Python/2. 2.02 How to install Python libraries.mp4 71MB
  18. 4. Pandas/1. 4.01 Introduction to Pandas.mp4 69MB
  19. 4. Pandas/7. 4.07 Indexing, editing and deletion of a DataFrame.mp4 69MB
  20. 4. Pandas/6. 4.06 Indexing and editing of a Series data.mp4 69MB
  21. 2. Python/9. 2.09 Functions with lists.mp4 67MB
  22. 2. Python/21. 2.21 Inheritance of classes in Python.mp4 64MB
  23. 3. Numpy/12. 3.12 Random in Numpy.mp4 64MB
  24. 4. Pandas/14. 4.14 Processing of data in Pandas (2).mp4 63MB
  25. 4. Pandas/15. 4.15 Methods for editing strings in Pandas.mp4 60MB
  26. 2. Python/7. 2.07 Strings and functions of modifications.mp4 59MB
  27. 2. Python/4. 2.04 Introduction to Python.mp4 59MB
  28. 2. Python/8. 2.08 Python’s Lists.mp4 58MB
  29. 2. Python/12. 2.12 Set in Python.mp4 58MB
  30. 4. Pandas/16. 4.16 Advanced indexing methods in Pandas.mp4 57MB
  31. 3. Numpy/13. 3.13 Reading files in Numpy.mp4 56MB
  32. 4. Pandas/8. 4.08 Merge in DataFrame.mp4 56MB
  33. 2. Python/11. 2.11 Functions with dictionaries.mp4 55MB
  34. 2. Python/15. 2.15 Python iteration instructions.mp4 54MB
  35. 4. Pandas/13. 4.13 Processing data in Pandas (1).mp4 54MB
  36. 2. Python/16. 2.16 Creating functions in Python.mp4 53MB
  37. 2. Python/22. 2.22 Time management functions.mp4 50MB
  38. 2. Python/6. 2.06 Variables and conversions in Python.mp4 49MB
  39. 3. Numpy/1. 3.01 Introduction to Numpy.mp4 48MB
  40. 2. Python/1. 2.01 Configuration of the development environment.mp4 47MB
  41. 2. Python/26. 2.26 Practical exercises with Python (4).mp4 46MB
  42. 3. Numpy/10. 3.10 Functions to create arrays in Numpy (2).mp4 46MB
  43. 4. Pandas/11. 4.11 Managing dates in Pandas (1).mp4 44MB
  44. 2. Python/14. 2.14 Conditional instructions in Python.mp4 42MB
  45. 4. Pandas/5. 4.05 Mathematical Operations in Pandas.mp4 40MB
  46. 3. Numpy/4. 3.04 Copy, arange and random in Numpy.mp4 39MB
  47. 3. Numpy/3. 3.03 Indexing of matrices in Numpy.mp4 38MB
  48. 3. Numpy/2. 3.02 Arrays in Numpy.mp4 36MB
  49. 4. Pandas/4. 4.04 Groupby in Pandas.mp4 36MB
  50. 2. Python/23. 2.23 Practical exercises with Python (1).mp4 34MB
  51. 3. Numpy/5. 3.05 Data type and conversion to Numpy.mp4 34MB
  52. 3. Numpy/9. 3.09 Functions to create arrays in Numpy (1).mp4 32MB
  53. 2. Python/10. 2.10 Dictionaries in Python.mp4 32MB
  54. 1. Introduction/1. 01 Python & Introduction to Data Science.mp4 30MB
  55. 3. Numpy/7. 3.07 Order functions in Numpy.mp4 27MB
  56. 3. Numpy/16. 3.16 Practical exercises with Numpy (2).mp4 21MB
  57. 2. Python/25. 2.25 Practical exercises with Python (3).mp4 21MB
  58. 2. Python/2.1 Course Materials.zip.zip 20MB
  59. 2. Python/13. 2.13 Assignment mechanism in Python.mp4 19MB
  60. 3. Numpy/11. 3.11 Logical operations in Numpy.mp4 19MB
  61. 3. Numpy/18. 3.18 Practical exercises with Numpy (4).mp4 17MB
  62. 2. Python/5. 2.05 Operations in Python.mp4 14MB
  63. 2. Python/28. 2.28 Practical exercises with Python (6).mp4 13MB
  64. 3. Numpy/15. 3.15 Practical exercises with Numpy (1).mp4 12MB
  65. 3. Numpy/17. 3.17 Practical exercises with Numpy (3).mp4 12MB
  66. 3. Numpy/21. 3.21 Practical exercises with Numpy (7).mp4 11MB
  67. 2. Python/27. 2.27 Practical exercises with Python (5).mp4 11MB
  68. 3. Numpy/20. 3.20 Practical exercises with Numpy (6).mp4 8MB
  69. 3. Numpy/19. 3.19 Practical exercises with Numpy (5).mp4 8MB
  70. 4. Pandas/18. 4.18 Memory management for large data.vtt 24KB
  71. 2. Python/19. 2.19 Reading and writing files in Python.vtt 14KB
  72. 3. Numpy/6. 3.06 Mathematical Functions in Numpy.vtt 12KB
  73. 2. Python/17. 2.17 Scripts and modules in Python.vtt 11KB
  74. 2. Python/20. 2.20 Classes in Python.vtt 11KB
  75. 4. Pandas/12. 4.12 Managing dates in Pandas (2).vtt 10KB
  76. 3. Numpy/8. 3.08 Data management functions in Numpy.vtt 10KB
  77. 4. Pandas/2. 4.02 DataFrame and Series in Pandas.vtt 10KB
  78. 4. Pandas/6. 4.06 Indexing and editing of a Series data.vtt 10KB
  79. 2. Python/18. 2.18 Error handling in Python.vtt 10KB
  80. 4. Pandas/3. 4.03 Indexing methods in Pandas.vtt 10KB
  81. 4. Pandas/17. 4.17 Create graphs in Pandas.vtt 9KB
  82. 4. Pandas/10. 4.10 Pivot chart in Pandas.vtt 8KB
  83. 4. Pandas/9. 4.09 Display options in Pandas.vtt 8KB
  84. 2. Python/9. 2.09 Functions with lists.vtt 8KB
  85. 2. Python/15. 2.15 Python iteration instructions.vtt 8KB
  86. 2. Python/8. 2.08 Python’s Lists.vtt 8KB
  87. 2. Python/12. 2.12 Set in Python.vtt 8KB
  88. 4. Pandas/7. 4.07 Indexing, editing and deletion of a DataFrame.vtt 8KB
  89. 2. Python/21. 2.21 Inheritance of classes in Python.vtt 8KB
  90. 4. Pandas/1. 4.01 Introduction to Pandas.vtt 8KB
  91. 2. Python/3. 2.03 Basic Notebook Controls.vtt 8KB
  92. 4. Pandas/14. 4.14 Processing of data in Pandas (2).vtt 7KB
  93. 3. Numpy/12. 3.12 Random in Numpy.vtt 7KB
  94. 4. Pandas/13. 4.13 Processing data in Pandas (1).vtt 7KB
  95. 3. Numpy/1. 3.01 Introduction to Numpy.vtt 7KB
  96. 2. Python/24. 2.24 Practical exercises with Python (2).vtt 7KB
  97. 2. Python/16. 2.16 Creating functions in Python.vtt 7KB
  98. 3. Numpy/14. 3.14 Writing files in Numpy.vtt 7KB
  99. 2. Python/11. 2.11 Functions with dictionaries.vtt 7KB
  100. 4. Pandas/8. 4.08 Merge in DataFrame.vtt 7KB
  101. 2. Python/7. 2.07 Strings and functions of modifications.vtt 7KB
  102. 2. Python/6. 2.06 Variables and conversions in Python.vtt 6KB
  103. 4. Pandas/15. 4.15 Methods for editing strings in Pandas.vtt 6KB
  104. 2. Python/22. 2.22 Time management functions.vtt 6KB
  105. 2. Python/14. 2.14 Conditional instructions in Python.vtt 6KB
  106. 4. Pandas/11. 4.11 Managing dates in Pandas (1).vtt 6KB
  107. 2. Python/4. 2.04 Introduction to Python.vtt 6KB
  108. 4. Pandas/16. 4.16 Advanced indexing methods in Pandas.vtt 6KB
  109. 3. Numpy/2. 3.02 Arrays in Numpy.vtt 6KB
  110. 3. Numpy/3. 3.03 Indexing of matrices in Numpy.vtt 6KB
  111. 3. Numpy/13. 3.13 Reading files in Numpy.vtt 5KB
  112. 3. Numpy/10. 3.10 Functions to create arrays in Numpy (2).vtt 5KB
  113. 4. Pandas/5. 4.05 Mathematical Operations in Pandas.vtt 5KB
  114. 3. Numpy/4. 3.04 Copy, arange and random in Numpy.vtt 5KB
  115. 2. Python/1. 2.01 Configuration of the development environment.vtt 5KB
  116. 2. Python/10. 2.10 Dictionaries in Python.vtt 5KB
  117. 3. Numpy/5. 3.05 Data type and conversion to Numpy.vtt 4KB
  118. 2. Python/2. 2.02 How to install Python libraries.vtt 4KB
  119. 2. Python/26. 2.26 Practical exercises with Python (4).vtt 4KB
  120. 4. Pandas/4. 4.04 Groupby in Pandas.vtt 4KB
  121. 3. Numpy/7. 3.07 Order functions in Numpy.vtt 4KB
  122. 2. Python/23. 2.23 Practical exercises with Python (1).vtt 4KB
  123. 3. Numpy/9. 3.09 Functions to create arrays in Numpy (1).vtt 3KB
  124. 2. Python/13. 2.13 Assignment mechanism in Python.vtt 3KB
  125. 2. Python/25. 2.25 Practical exercises with Python (3).vtt 2KB
  126. 2. Python/5. 2.05 Operations in Python.vtt 2KB
  127. 3. Numpy/11. 3.11 Logical operations in Numpy.vtt 2KB
  128. 1. Introduction/1. 01 Python & Introduction to Data Science.vtt 2KB
  129. 2. Python/28. 2.28 Practical exercises with Python (6).vtt 2KB
  130. 3. Numpy/18. 3.18 Practical exercises with Numpy (4).vtt 2KB
  131. 3. Numpy/16. 3.16 Practical exercises with Numpy (2).vtt 2KB
  132. 2. Python/27. 2.27 Practical exercises with Python (5).vtt 1KB
  133. 3. Numpy/17. 3.17 Practical exercises with Numpy (3).vtt 1KB
  134. 3. Numpy/15. 3.15 Practical exercises with Numpy (1).vtt 1KB
  135. 3. Numpy/21. 3.21 Practical exercises with Numpy (7).vtt 1KB
  136. 3. Numpy/19. 3.19 Practical exercises with Numpy (5).vtt 1KB
  137. 3. Numpy/20. 3.20 Practical exercises with Numpy (6).vtt 934B
  138. [FCS Forum].url 133B
  139. [FreeCourseSite.com].url 127B
  140. [CourseClub.NET].url 123B