• Урок 1. 00:12:15
    Introduction to the Course
  • Урок 2. 00:00:57
    About Me
  • Урок 3. 00:03:56
    MacOS - Download the Anaconda Distribution
  • Урок 4. 00:10:39
    MacOS - Install Anaconda Distribution
  • Урок 5. 00:08:35
    MacOS - Access the Terminal
  • Урок 6. 00:13:08
    MacOS - Create Conda Environment and Install Pandas
  • Урок 7. 00:12:33
    MacOS - Unpack Course Materials + The Start and Shutdown Process
  • Урок 8. 00:03:48
    Windows - Download the Anaconda Distribution
  • Урок 9. 00:05:17
    Windows - Install Anaconda Distribution
  • Урок 10. 00:10:12
    Windows - Access the Command Prompt and Update Anaconda Libraries
  • Урок 11. 00:08:50
    Windows - Unpack Course Materials + The Startdown and Shutdown Process
  • Урок 12. 00:05:15
    Intro to the Jupyter Notebook Interface
  • Урок 13. 00:07:04
    Cell Types and Cell Modes
  • Урок 14. 00:04:48
    Code Cell Execution
  • Урок 15. 00:03:07
    Popular Keyboard Shortcuts
  • Урок 16. 00:07:10
    Import Libraries into Jupyter Notebook
  • Урок 17. 00:07:06
    Python Crash Course, Part 1 - Data Types and Variables
  • Урок 18. 00:05:07
    Python Crash Course, Part 2 - Lists
  • Урок 19. 00:04:20
    Python Crash Course, Part 3 - Dictionaries
  • Урок 20. 00:04:31
    Python Crash Course, Part 4 - Operators
  • Урок 21. 00:06:03
    Python Crash Course, Part 5 - Functions
  • Урок 22. 00:02:13
    Create Jupyter Notebook for the Series Module
  • Урок 23. 00:10:33
    Create A Series Object from a Python List
  • Урок 24. 00:03:07
    Create A Series Object from a Python Dictionary
  • Урок 25. 00:07:18
    Intro to Attributes
  • Урок 26. 00:04:43
    Intro to Methods
  • Урок 27. 00:10:11
    Parameters and Arguments
  • Урок 28. 00:10:24
    Import Series with the .read_csv() Method
  • Урок 29. 00:03:43
    The .head() and .tail() Methods
  • Урок 30. 00:05:21
    Python Built-In Functions
  • Урок 31. 00:06:14
    More Series Attributes
  • Урок 32. 00:06:05
    The .sort_values() Method
  • Урок 33. 00:05:08
    The inplace Parameter
  • Урок 34. 00:04:39
    The .sort_index() Method
  • Урок 35. 00:04:01
    Python's in Keyword
  • Урок 36. 00:04:16
    Extract Series Values by Index Position
  • Урок 37. 00:07:23
    Extract Series Values by Index Label
  • Урок 38. 00:05:04
    The .get() Method on a Series
  • Урок 39. 00:05:40
    Math Methods on Series Objects
  • Урок 40. 00:03:11
    The .idxmax() and .idxmin() Methods
  • Урок 41. 00:03:40
    The .value_counts() Method
  • Урок 42. 00:06:47
    The .apply() Method
  • Урок 43. 00:06:53
    The .map() Method
  • Урок 44. 00:07:25
    Intro to DataFrames I Module
  • Урок 45. 00:07:38
    Shared Methods and Attributes between Series and DataFrames
  • Урок 46. 00:06:49
    Differences between Shared Methods
  • Урок 47. 00:07:58
    Select One Column from a DataFrame
  • Урок 48. 00:05:13
    Select Two or More Columns from a DataFrame
  • Урок 49. 00:08:04
    Add New Column to DataFrame
  • Урок 50. 00:09:07
    Broadcasting Operations
  • Урок 51. 00:03:55
    A Review of the .value_counts() Method
  • Урок 52. 00:06:42
    Drop Rows with Null Values
  • Урок 53. 00:04:25
    Fill in Null Values with the .fillna() Method
  • Урок 54. 00:10:39
    The .astype() Method
  • Урок 55. 00:05:47
    Sort a DataFrame with the .sort_values() Method, Part I
  • Урок 56. 00:04:14
    Sort a DataFrame with the .sort_values() Method, Part II
  • Урок 57. 00:03:00
    Sort DataFrame with the .sort_index() Method
  • Урок 58. 00:05:54
    Rank Values with the .rank() Method
  • Урок 59. 00:10:46
    This Module's Dataset + Memory Optimization
  • Урок 60. 00:12:58
    Filter a DataFrame Based on A Condition
  • Урок 61. 00:04:42
    Filter with More than One Condition (AND - &)
  • Урок 62. 00:08:36
    Filter with More than One Condition (OR - |)
  • Урок 63. 00:06:18
    The .isin() Method
  • Урок 64. 00:05:08
    The .isnull() and .notnull() Methods
  • Урок 65. 00:06:52
    The .between() Method
  • Урок 66. 00:09:06
    The .duplicated() Method
  • Урок 67. 00:08:17
    The .drop_duplicates() Method
  • Урок 68. 00:04:23
    The .unique() and .nunique() Methods
  • Урок 69. 00:03:24
    Intro to the DataFrames III Module + Import Dataset
  • Урок 70. 00:05:38
    The .set_index() and .reset_index() Methods
  • Урок 71. 00:09:43
    Retrieve Rows by Index Label with .loc[]
  • Урок 72. 00:06:08
    Retrieve Rows by Index Position with .iloc[]
  • Урок 73. 00:08:45
    The Catch-All .ix[] Method
  • Урок 74. 00:06:22
    Second Arguments to .loc[], .iloc[], and .ix[] Methods
  • Урок 75. 00:04:28
    Set New Values for a Specific Cell or Row
  • Урок 76. 00:09:17
    Set Multiple Values in DataFrame
  • Урок 77. 00:06:50
    Rename Index Labels or Columns in a DataFrame
  • Урок 78. 00:07:30
    Delete Rows or Columns from a DataFrame
  • Урок 79. 00:04:44
    Create Random Sample with the .sample() Method
  • Урок 80. 00:05:37
    The .nsmallest() and .nlargest() Methods
  • Урок 81. 00:05:04
    Filtering with the .where() Method
  • Урок 82. 00:09:07
    The .query() Method
  • Урок 83. 00:05:54
    A Review of the .apply() Method on Single Columns
  • Урок 84. 00:06:50
    The .apply() Method with Row Values
  • Урок 85. 00:07:06
    The .copy() Method
  • Урок 86. 00:05:56
    Intro to the Working with Text Data Module
  • Урок 87. 00:07:15
    Common String Methods - lower, upper, title, and len
  • Урок 88. 00:08:08
    The .str.replace() Method
  • Урок 89. 00:06:44
    Filtering with String Methods
  • Урок 90. 00:04:31
    More String Methods - strip, lstrip, and rstrip
  • Урок 91. 00:05:31
    String Methods on Index and Columns
  • Урок 92. 00:08:41
    Split Strings by Characters with .str.split() Method
  • Урок 93. 00:06:02
    More Practice with Splits
  • Урок 94. 00:07:01
    The expand and n Parameters of the .str.split() Method
  • Урок 95. 00:04:27
    Intro to the MultiIndex Module
  • Урок 96. 00:09:51
    Create a MultiIndex with the set_index() Method
  • Урок 97. 00:07:52
    The .get_level_values() Method
  • Урок 98. 00:03:09
    The .set_names() Method
  • Урок 99. 00:04:57
    The sort_index() Method
  • Урок 100. 00:08:33
    Extract Rows from a MultiIndex DataFrame
  • Урок 101. 00:05:49
    The .transpose() Method and MultiIndex on Column Level
  • Урок 102. 00:02:35
    The .swaplevel() Method
  • Урок 103. 00:06:01
    The .stack() Method
  • Урок 104. 00:03:39
    The .unstack() Method, Part 1
  • Урок 105. 00:06:10
    The .unstack() Method, Part 2
  • Урок 106. 00:05:10
    The .unstack() Method, Part 3
  • Урок 107. 00:06:35
    The .pivot() Method
  • Урок 108. 00:10:17
    The .pivot_table() Method
  • Урок 109. 00:06:00
    The pd.melt() Method
  • Урок 110. 00:07:43
    Intro to the Groupby Module
  • Урок 111. 00:09:34
    First Operations with groupby Object
  • Урок 112. 00:03:48
    Retrieve A Group with the .get_group() Method
  • Урок 113. 00:08:42
    Methods on the Groupby Object and DataFrame Columns
  • Урок 114. 00:04:36
    Grouping by Multiple Columns
  • Урок 115. 00:06:12
    The .agg() Method
  • Урок 116. 00:09:05
    Iterating through Groups
  • Урок 117. 00:05:48
    Intro to the Merging, Joining, and Concatenating Module
  • Урок 118. 00:05:40
    The pd.concat() Method, Part 1
  • Урок 119. 00:06:36
    The pd.concat() Method, Part 2
  • Урок 120. 00:02:04
    The .append() Method on a DataFrame
  • Урок 121. 00:09:19
    Inner Joins, Part 1
  • Урок 122. 00:09:01
    Inner Joins, Part 2
  • Урок 123. 00:12:24
    Outer Joins
  • Урок 124. 00:09:20
    Left Joins
  • Урок 125. 00:08:55
    The left_on and right_on Parameters
  • Урок 126. 00:11:03
    Merging by Indexes with the left_index and right_index Parameters
  • Урок 127. 00:03:16
    The .join() Method
  • Урок 128. 00:03:07
    The pd.merge() Method
  • Урок 129. 00:03:45
    Intro to the Working with Dates and Times Module
  • Урок 130. 00:09:32
    Review of Python's datetime Module
  • Урок 131. 00:07:16
    The pandas Timestamp Object
  • Урок 132. 00:05:24
    The pandas DateTimeIndex Object
  • Урок 133. 00:11:12
    The pd.to_datetime() Method
  • Урок 134. 00:10:23
    Create Range of Dates with the pd.date_range() Method, Part 1
  • Урок 135. 00:09:05
    Create Range of Dates with the pd.date_range() Method, Part 2
  • Урок 136. 00:07:51
    Create Range of Dates with the pd.date_range() Method, Part 3
  • Урок 137. 00:07:30
    The .dt Accessor
  • Урок 138. 00:02:31
    Install pandas-datareader Library
  • Урок 139. 00:10:43
    Import Financial Data Set with pandas_datareader Library
  • Урок 140. 00:08:02
    Selecting Rows from a DataFrame with a DateTimeIndex
  • Урок 141. 00:07:28
    Timestamp Object Attributes
  • Урок 142. 00:03:00
    The .truncate() Method
  • Урок 143. 00:12:01
    pd.DateOffset Objects
  • Урок 144. 00:14:07
    More Fun with pd.DateOffset Objects
  • Урок 145. 00:08:40
    The pandas Timedelta Object
  • Урок 146. 00:09:31
    Timedeltas in a Dataset
  • Урок 147. 00:07:18
    Intro to the Module + Fetch Panel Dataset from Google Finance
  • Урок 148. 00:07:43
    The Axes of a Panel Object
  • Урок 149. 00:05:05
    Panel Attributes
  • Урок 150. 00:04:00
    Use Bracket Notation to Extract a DataFrame from a Panel
  • Урок 151. 00:06:58
    Extracting with the .loc, .iloc, and .ix Methods
  • Урок 152. 00:04:05
    Convert Panel to a MultiIndex DataFrame (and Vice Versa)
  • Урок 153. 00:05:47
    The .major_xs() Method
  • Урок 154. 00:06:25
    The .minor_xs() Method
  • Урок 155. 00:07:43
    Transpose a Panel with the .transpose() Method
  • Урок 156. 00:04:23
    The .swapaxes() Method
  • Урок 157. 00:01:34
    Intro to the Input and Output Module
  • Урок 158. 00:03:49
    Feed pd.read_csv() Method a URL Argument
  • Урок 159. 00:05:05
    Quick Object Conversions
  • Урок 160. 00:05:49
    Export DataFrame to CSV File with the .to_csv() Method
  • Урок 161. 00:02:37
    Install xlrd and openpyxl Libraries to Read and Write Excel Files
  • Урок 162. 00:09:31
    Import Excel File into pandas
  • Урок 163. 00:08:43
    Export Excel File
  • Урок 164. 00:04:17
    Intro to Visualization Module
  • Урок 165. 00:09:14
    The .plot() Method
  • Урок 166. 00:05:21
    Modifying Aesthetics with Templates
  • Урок 167. 00:06:25
    Bar Graphs
  • Урок 168. 00:05:08
    Pie Charts
  • Урок 169. 00:06:10
    Histograms
  • Урок 170. 00:01:43
    Introduction to the Options and Settings Module
  • Урок 171. 00:06:57
    Changing pandas Options with Attributes and Dot Syntax
  • Урок 172. 00:06:14
    Changing pandas Options with Methods
  • Урок 173. 00:03:11
    The precision Option
  • Урок 174. 00:01:39
    Conclusion
Этот материал находится в платной подписке. Оформи премиум подписку и смотри Data Analysis with Pandas and Python, а также все другие курсы, прямо сейчас!
Премиум