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[Udemy] Библиотеки Python и обработки данных, полный диплом (2021) [En]

  • 收录时间:2021-10-15 20:18:19
  • 文件大小:1GB
  • 下载次数:1
  • 最近下载:2021-10-15 20:18:19
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文件列表

  1. 3. Python Data Structures/1. Structure Data using lists.mp4 80MB
  2. 4. The Fundamentals of Python/6. Python Library Functions.mp4 56MB
  3. 2. The Basics of Python/4. Strings full tutorial.mp4 53MB
  4. 2. The Basics of Python/5. Numbers, Math and f-string tutorial.mp4 51MB
  5. 5. OOP in Python/1. Core Python OOP Classes and Instances.mp4 46MB
  6. 3. Python Data Structures/2. Structure data using tuples.mp4 41MB
  7. 6. Advanced Foundations/6. Exceptions Playground.mp4 37MB
  8. 5. OOP in Python/2. Core Python OOP Exploring Inheritance.mp4 37MB
  9. 4. The Fundamentals of Python/3. Conditional Statements.mp4 36MB
  10. 4. The Fundamentals of Python/8. The lambda power.mp4 35MB
  11. 3. Python Data Structures/3. Structure Data using Dictionaries.mp4 34MB
  12. 4. The Fundamentals of Python/2. Output from Logics.mp4 31MB
  13. 6. Advanced Foundations/1. Concise Comprehensions.mp4 31MB
  14. 8. Numerical Python - NumPy/5. NumPy Level 5.mp4 31MB
  15. 4. The Fundamentals of Python/5. The for loop in Python.mp4 31MB
  16. 7. Python Data Handling/5. Zipping and Unzipping Data.mp4 29MB
  17. 1. Mastering Python, Data Handling, Analysis and Visualization/4. Using Jupyter Notebook for coding with Python.mp4 29MB
  18. 3. Python Data Structures/4. Structure Data using sets.mp4 28MB
  19. 4. The Fundamentals of Python/7. User-Defined Functions.mp4 28MB
  20. 4. The Fundamentals of Python/1. Comparing Values.mp4 28MB
  21. 8. Numerical Python - NumPy/1. NumPy Level 1.mp4 26MB
  22. 7. Python Data Handling/1. IO data in memory.mp4 25MB
  23. 7. Python Data Handling/4. Data will be in the trash bin.mp4 24MB
  24. 6. Advanced Foundations/2. Constructed modules and random.mp4 23MB
  25. 7. Python Data Handling/3. Moving data files between directories.mp4 22MB
  26. 8. Numerical Python - NumPy/6. NumPy Level 6.mp4 21MB
  27. 9. Analyze Data with Pandas/6. Pandas data analysis level 6.mp4 21MB
  28. 8. Numerical Python - NumPy/2. NumPy Level 2.mp4 20MB
  29. 6. Advanced Foundations/5. Errors Exploration.mp4 20MB
  30. 2. The Basics of Python/2. Describe what's inside the code.mp4 20MB
  31. 1. Mastering Python, Data Handling, Analysis and Visualization/5. Using Anaconda Prompt.mp4 19MB
  32. 2. The Basics of Python/3. Define Blocks and Avoid IndentationError.mp4 19MB
  33. 9. Analyze Data with Pandas/2. Pandas data analysis level 2.mp4 18MB
  34. 2. The Basics of Python/6. Handling inputs and outputs.mp4 18MB
  35. 4. The Fundamentals of Python/10. The continue statement.mp4 18MB
  36. 6. Advanced Foundations/3. Doing mathematics.mp4 18MB
  37. 7. Python Data Handling/2. Interacting with operating system data.mp4 17MB
  38. 8. Numerical Python - NumPy/7. NumPy Level 7.mp4 17MB
  39. 6. Advanced Foundations/4. Doing statistics.mp4 17MB
  40. 4. The Fundamentals of Python/9. The break statement.mp4 17MB
  41. 2. The Basics of Python/1. Variables and Types Tutorial.mp4 16MB
  42. 9. Analyze Data with Pandas/4. Pandas data analysis level 4.mp4 16MB
  43. 9. Analyze Data with Pandas/5. Pandas data analysis level 5.mp4 16MB
  44. 8. Numerical Python - NumPy/8. NumPy Level 8.mp4 16MB
  45. 9. Analyze Data with Pandas/1. Pandas data analysis level 1.mp4 14MB
  46. 10. Visualize Data with Matplotlib/4. Matplotlib data visualization level 4.mp4 14MB
  47. 10. Visualize Data with Matplotlib/3. Matplotlib data visualization level 3.mp4 13MB
  48. 8. Numerical Python - NumPy/4. NumPy Level 4.mp4 13MB
  49. 11. Advanced Data graphs with Seaborn/1. Seaborn statistical graphs level 1.mp4 12MB
  50. 8. Numerical Python - NumPy/9. NumPy Level 9.mp4 12MB
  51. 10. Visualize Data with Matplotlib/1. Matplotlib data visualization level 1.mp4 12MB
  52. 4. The Fundamentals of Python/4. The while loop in Python.mp4 12MB
  53. 10. Visualize Data with Matplotlib/6. Matplotlib data visualization level 6.mp4 12MB
  54. 1. Mastering Python, Data Handling, Analysis and Visualization/1. Welcome to Mastering Python, Data Handling.mp4 11MB
  55. 11. Advanced Data graphs with Seaborn/5. Seaborn statistical graphs level 5.mp4 11MB
  56. 10. Visualize Data with Matplotlib/7. Matplotlib data visualization level 7.mp4 11MB
  57. 1. Mastering Python, Data Handling, Analysis and Visualization/3. Jupyter Overview Markdown in Jupyter tutorial.mp4 10MB
  58. 9. Analyze Data with Pandas/3. Pandas data analysis level 3.mp4 10MB
  59. 1. Mastering Python, Data Handling, Analysis and Visualization/2. Download and Install the working tools.mp4 9MB
  60. 4. The Fundamentals of Python/11. The for else statement.mp4 9MB
  61. 8. Numerical Python - NumPy/3. NumPy Level 3.mp4 9MB
  62. 11. Advanced Data graphs with Seaborn/6. Seaborn statistical graphs level 6.mp4 9MB
  63. 12. Resources/1. Python Programming.mp4 8MB
  64. 4. The Fundamentals of Python/12. Program to Put all together.mp4 7MB
  65. 10. Visualize Data with Matplotlib/5. Matplotlib data visualization level 5.mp4 7MB
  66. 11. Advanced Data graphs with Seaborn/4. Seaborn statistical graphs level 4.mp4 7MB
  67. 11. Advanced Data graphs with Seaborn/7. Seaborn statistical graphs level 7.mp4 6MB
  68. 12. Resources/4. Matplotlib.mp4 5MB
  69. 10. Visualize Data with Matplotlib/2. Matplotlib data visualization level 2.mp4 5MB
  70. 11. Advanced Data graphs with Seaborn/2. Seaborn statistical graphs level 2.mp4 5MB
  71. 11. Advanced Data graphs with Seaborn/3. Seaborn statistical graphs level 3.mp4 5MB
  72. 12. Resources/3. Pandas.mp4 3MB
  73. 12. Resources/5. Seaborn.mp4 3MB
  74. 12. Resources/2. NumPy.mp4 2MB
  75. Working_Files+(3).zip 436KB
  76. Working_Files+(3)_2.zip 436KB
  77. Working_Files+(3)_3.zip 436KB
  78. Working_Files.zip 304KB
  79. Working_Files_2.zip 304KB
  80. Working_Files_3.zip 304KB
  81. Working_Files_4.zip 304KB
  82. Working_Files_5.zip 304KB
  83. Working_Files_6.zip 304KB
  84. Working_Files_7.zip 304KB
  85. Working_Files_8.zip 304KB
  86. Python+for+Data_2.pdf 109KB
  87. Python+for+Data.pdf 109KB
  88. 3. Python Data Structures/1. Structure Data using lists.srt 27KB
  89. 2. The Basics of Python/5. Numbers, Math and f-string tutorial.srt 18KB
  90. 2. The Basics of Python/4. Strings full tutorial.srt 17KB
  91. 5. OOP in Python/1. Core Python OOP Classes and Instances.srt 14KB
  92. 2. The Basics of Python/1. Variables and Types Tutorial.srt 14KB
  93. 3. Python Data Structures/2. Structure data using tuples.srt 13KB
  94. 4. The Fundamentals of Python/6. Python Library Functions.srt 13KB
  95. 4. The Fundamentals of Python/3. Conditional Statements.srt 12KB
  96. 5. OOP in Python/2. Core Python OOP Exploring Inheritance.srt 11KB
  97. 3. Python Data Structures/3. Structure Data using Dictionaries.srt 10KB
  98. 4. The Fundamentals of Python/8. The lambda power.srt 10KB
  99. 4. The Fundamentals of Python/1. Comparing Values.srt 10KB
  100. 1. Mastering Python, Data Handling, Analysis and Visualization/3. Jupyter Overview + Markdown in Jupyter tutorial.srt 10KB
  101. 4. The Fundamentals of Python/7. User-Defined Functions.srt 9KB
  102. 7. Python Data Handling/1. IO data in memory.srt 9KB
  103. 3. Python Data Structures/4. Structure Data using sets.srt 9KB
  104. 4. The Fundamentals of Python/5. The for loop in Python.srt 8KB
  105. 8. Numerical Python - NumPy/1. NumPy Level 1.srt 8KB
  106. 4. The Fundamentals of Python/2. Output from Logics.srt 8KB
  107. 7. Python Data Handling/5. Zipping and Unzipping Data.srt 8KB
  108. 6. Advanced Foundations/6. Exceptions Playground.srt 8KB
  109. 1. Mastering Python, Data Handling, Analysis and Visualization/4. Using Jupyter Notebook for coding with Python.srt 8KB
  110. 6. Advanced Foundations/2. Constructed modules and random.srt 8KB
  111. 6. Advanced Foundations/1. Concise Comprehensions.srt 7KB
  112. 2. The Basics of Python/2. Describe what's inside the code.srt 6KB
  113. 8. Numerical Python - NumPy/5. NumPy Level 5.srt 6KB
  114. 8. Numerical Python - NumPy/2. NumPy Level 2.srt 6KB
  115. 6. Advanced Foundations/3. Doing mathematics.srt 6KB
  116. 7. Python Data Handling/3. Moving data files between directories.srt 6KB
  117. 2. The Basics of Python/6. Handling inputs and outputs.srt 6KB
  118. 2. The Basics of Python/3. Define Blocks and Avoid IndentationError.srt 6KB
  119. 6. Advanced Foundations/4. Doing statistics.srt 5KB
  120. 7. Python Data Handling/4. Data will be in the trash bin.srt 5KB
  121. 4. The Fundamentals of Python/10. The continue statement.srt 5KB
  122. 4. The Fundamentals of Python/9. The break statement.srt 5KB
  123. 6. Advanced Foundations/5. Errors Exploration.srt 5KB
  124. 9. Analyze Data with Pandas/6. Pandas data analysis level 6.srt 5KB
  125. 9. Analyze Data with Pandas/2. Pandas data analysis level 2.srt 5KB
  126. 9. Analyze Data with Pandas/1. Pandas data analysis level 1.srt 4KB
  127. 8. Numerical Python - NumPy/7. NumPy Level 7.srt 4KB
  128. 8. Numerical Python - NumPy/4. NumPy Level 4.srt 4KB
  129. 1. Mastering Python, Data Handling, Analysis and Visualization/5. Using Anaconda Prompt.srt 4KB
  130. 11. Advanced Data graphs with Seaborn/1. Seaborn statistical graphs level 1.srt 4KB
  131. 8. Numerical Python - NumPy/8. NumPy Level 8.srt 4KB
  132. 8. Numerical Python - NumPy/6. NumPy Level 6.srt 4KB
  133. 7. Python Data Handling/2. Interacting with operating system data.srt 4KB
  134. 4. The Fundamentals of Python/4. The while loop in Python.srt 4KB
  135. 10. Visualize Data with Matplotlib/1. Matplotlib data visualization level 1.srt 4KB
  136. 10. Visualize Data with Matplotlib/4. Matplotlib data visualization level 4.srt 4KB
  137. 10. Visualize Data with Matplotlib/6. Matplotlib data visualization level 6.srt 4KB
  138. 10. Visualize Data with Matplotlib/3. Matplotlib data visualization level 3.srt 4KB
  139. 9. Analyze Data with Pandas/5. Pandas data analysis level 5.srt 3KB
  140. 9. Analyze Data with Pandas/4. Pandas data analysis level 4.srt 3KB
  141. 8. Numerical Python - NumPy/3. NumPy Level 3.srt 3KB
  142. 8. Numerical Python - NumPy/9. NumPy Level 9.srt 3KB
  143. 10. Visualize Data with Matplotlib/7. Matplotlib data visualization level 7.srt 3KB
  144. 4. The Fundamentals of Python/11. The for else statement.srt 3KB
  145. 11. Advanced Data graphs with Seaborn/6. Seaborn statistical graphs level 6.srt 3KB
  146. 11. Advanced Data graphs with Seaborn/5. Seaborn statistical graphs level 5.srt 3KB
  147. 9. Analyze Data with Pandas/3. Pandas data analysis level 3.srt 3KB
  148. 11. Advanced Data graphs with Seaborn/2. Seaborn statistical graphs level 2.srt 2KB
  149. 11. Advanced Data graphs with Seaborn/7. Seaborn statistical graphs level 7.srt 2KB
  150. 4. The Fundamentals of Python/12. Program to Put all together.srt 2KB
  151. 1. Mastering Python, Data Handling, Analysis and Visualization/1. Welcome to Mastering Python, Data Handling, Analysis and Visualization.srt 2KB
  152. 11. Advanced Data graphs with Seaborn/4. Seaborn statistical graphs level 4.srt 2KB
  153. 10. Visualize Data with Matplotlib/2. Matplotlib data visualization level 2.srt 2KB
  154. 1. Mastering Python, Data Handling, Analysis and Visualization/2. Download and Install the working tools.srt 2KB
  155. 10. Visualize Data with Matplotlib/5. Matplotlib data visualization level 5.srt 2KB
  156. 11. Advanced Data graphs with Seaborn/3. Seaborn statistical graphs level 3.srt 2KB
  157. 12. Resources/1. Python Programming.srt 822B
  158. 12. Resources/4. Matplotlib.srt 761B
  159. 12. Resources/2. NumPy.srt 629B
  160. 12. Resources/5. Seaborn.srt 587B
  161. 12. Resources/3. Pandas.srt 534B