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[DunderData] Ted Petrou - Анализ данных на Python (2021) [En]

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视频 2022-7-29 16:16 2024-9-24 14:44 176 3.22 GB 69
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DunderData Ted Petrou - Анализ данных на Python 2021 En

文件列表
  1. 2. Introduction to Jupyter Notebooks/1. Exploring the Course Contents.mp427.38MB
  2. 2. Introduction to Jupyter Notebooks/2. Opening the Material with Jupyter Notebooks.mkv58.7MB
  3. 2. Introduction to Jupyter Notebooks/3. Jupyter Notebook Tips and Tricks.mp421.9MB
  4. 2. Introduction to Jupyter Notebooks/4. Working through a Notebook from the Course.mkv51.03MB
  5. 2. Introduction to Jupyter Notebooks/5. About to Begin.mkv22.97MB
  6. 3. Intro to Pandas/1. What is Pandas.mkv25.98MB
  7. 3. Intro to Pandas/2. Pandas Examples.mp448.97MB
  8. 3. Intro to Pandas/3. The DataFrame and Series.mkv73.02MB
  9. 3. Intro to Pandas/4. Exercise Solutions - The DataFrame and Series.mkv25.2MB
  10. 3. Intro to Pandas/5. Data Types and Missing Values.mkv68.5MB
  11. 3. Intro to Pandas/6. Exercise Solutions - Data Types and Missing Values.mkv31.62MB
  12. 3. Intro to Pandas/7. Five-Step Process for Data Exploration.mkv70.13MB
  13. 4. Selecting Subsets of Data/1.1 Selecting Subsets of DataFrames with Just the Brackets.mkv41.48MB
  14. 4. Selecting Subsets of Data/1.2 Exercise Solutions.mkv29.31MB
  15. 4. Selecting Subsets of Data/2.1 Selecting Subsets of Data from DataFrames with loc.mkv55.49MB
  16. 4. Selecting Subsets of Data/2.2 Exercise Solutions.mkv44.99MB
  17. 4. Selecting Subsets of Data/3.1 Selecting Subsets of Data with iloc.mkv34.38MB
  18. 4. Selecting Subsets of Data/3.2 Exercise Solutions.mkv20.81MB
  19. 4. Selecting Subsets of Data/4.1 Selecting Subsets of Data from a Series.mkv54.85MB
  20. 4. Selecting Subsets of Data/4.2 Exercise Solutions.mkv33.31MB
  21. 4. Selecting Subsets of Data/5.1 Boolean Indexing Single Conditions.mkv49.82MB
  22. 4. Selecting Subsets of Data/5.2 Exercise Solutions.mkv25.5MB
  23. 4. Selecting Subsets of Data/6.1 Boolean Indexing Multiple Conditions.mkv53.16MB
  24. 4. Selecting Subsets of Data/6.2 Exercise Solutions.mkv64.76MB
  25. 4. Selecting Subsets of Data/7.1 Boolean Indexing More.mkv86.62MB
  26. 4. Selecting Subsets of Data/7.2 Exercise Solutions.mkv57.78MB
  27. 4. Selecting Subsets of Data/8.1 Miscellaneous Subset Selection.mkv86.23MB
  28. 4. Selecting Subsets of Data/8.2 Exercise Solutions.mkv42.19MB
  29. 5. Essential Pandas Commands/1.1 Series Attributes and Methods.mkv86.5MB
  30. 5. Essential Pandas Commands/1.2 Exercise Solutions.mkv41.3MB
  31. 5. Essential Pandas Commands/2.1 Series Methods More.mkv51.21MB
  32. 5. Essential Pandas Commands/2.2 Exercise Solutions.mkv21.72MB
  33. 5. Essential Pandas Commands/3.1 Series Methods More II.mkv68.53MB
  34. 5. Essential Pandas Commands/3.2 Exercise Solutions.mkv27.66MB
  35. 5. Essential Pandas Commands/4.1 String Series Methods.mkv58.71MB
  36. 5. Essential Pandas Commands/4.2 Exercise Solutions.mkv57.83MB
  37. 5. Essential Pandas Commands/5.1 Datetime Series Methods.mkv77.44MB
  38. 5. Essential Pandas Commands/5.2 Exercise Solutions.mkv36.52MB
  39. 5. Essential Pandas Commands/6.1 Dataframe Attributes and Methods.mkv87.26MB
  40. 5. Essential Pandas Commands/6.2 Exercise Solutions.mkv19.27MB
  41. 5. Essential Pandas Commands/7.1 DataFrame Aggregation Methods.mkv57.61MB
  42. 5. Essential Pandas Commands/7.2 DataFrame Non-Aggregation Methods.mkv37.66MB
  43. 5. Essential Pandas Commands/7.3 Nuisance Columns.mkv67.79MB
  44. 5. Essential Pandas Commands/7.4 Exercise Solutions.mkv62.17MB
  45. 5. Essential Pandas Commands/8.1 DataFrame Methods More - Handling Missing Data.mkv68.08MB
  46. 5. Essential Pandas Commands/8.2 DataFrame Methods More 2 Sorting.mkv41.29MB
  47. 5. Essential Pandas Commands/8.3 Finding the index of the maximum or minimum.mkv51.21MB
  48. 5. Essential Pandas Commands/8.4 Dropping and Renaming Columns and Rows.mkv27.97MB
  49. 5. Essential Pandas Commands/8.5 Adding New Columns.mkv36.68MB
  50. 5. Essential Pandas Commands/8.6 Exercise Solutions.mkv98.84MB
  51. 5. Essential Pandas Commands/9.1 DataFrame Methods more II.mkv61.1MB
  52. 5. Essential Pandas Commands/9.2 The copy method.mkv18.85MB
  53. 5. Essential Pandas Commands/9.3 Inserting and Popping Columns.mkv35.89MB
  54. 5. Essential Pandas Commands/9.4 The replace Method.mkv32.27MB
  55. 5. Essential Pandas Commands/9.5 Finding the Maximum per Group.mkv32.95MB
  56. 5. Essential Pandas Commands/9.6 Exercise Solutions.mkv80.34MB
  57. 5. Essential Pandas Commands/10.1 Numeric and Boolean Data Types.mkv76.42MB
  58. 5. Essential Pandas Commands/10.2 Object Data Types.mkv21.83MB
  59. 5. Essential Pandas Commands/10.3 Datetime64 Data Type.mkv42.92MB
  60. 5. Essential Pandas Commands/10.4 Converting Strings to Numeric.mkv24.32MB
  61. 5. Essential Pandas Commands/10.5 DataFrame Data Type Conversion.mkv41.41MB
  62. 5. Essential Pandas Commands/10.6 Reading in Data with Known Missing Values.mkv17.15MB
  63. 5. Essential Pandas Commands/10.7 Timedelta64 Data Type.mkv22.62MB
  64. 5. Essential Pandas Commands/10.8 Data Type Summary Table.mkv31MB
  65. 5. Essential Pandas Commands/10.9 Exercise Solutions.mkv78.04MB
  66. 5. Essential Pandas Commands/11.1 Assigning Subsets with loc and iloc.mkv27.58MB
  67. 5. Essential Pandas Commands/11.2 Boolean Selection Assignment.mkv55.51MB
  68. 5. Essential Pandas Commands/11.3 Exercise Solutions.mkv27.9MB
  69. 5. Essential Pandas Commands/12. Case Study - Calculating Normality of Stock Market Returns.mkv79.47MB
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