[FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

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Files
  1. 1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4 35.27MB
  2. 1. Installation and Setup/1. Introduction to the Course.mp4 34.00MB
  3. 10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 31.91MB
  4. 4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 27.40MB
  5. 9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 25.94MB
  6. 5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 25.87MB
  7. 10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 25.58MB
  8. 10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 25.48MB
  9. 4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 24.44MB
  10. 3. DataFrames I/11. The .astype() Method.mp4 23.86MB
  11. 8. GroupBy/2. First Operations with groupby Object.mp4 23.08MB
  12. 10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 22.88MB
  13. 9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 22.70MB
  14. 7. MultiIndex/14. The .pivot_table() Method.mp4 22.17MB
  15. 1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 22.15MB
  16. 8. GroupBy/7. Iterating through Groups.mp4 21.37MB
  17. 2. Series/7. Import Series with the .read_csv() Method.mp4 21.14MB
  18. 7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 21.05MB
  19. 9. Merging, Joining, and Concatenating/8. Left Joins.mp4 21.00MB
  20. 5. DataFrames III/8. Set Multiple Values in DataFrame.mp4 20.54MB
  21. 8. GroupBy/4. Methods on the Groupby Object and DataFrame Columns.mp4 20.49MB
  22. 9. Merging, Joining, and Concatenating/9. The left_on and right_on Parameters.mp4 20.24MB
  23. 5. DataFrames III/14. The .query() Method.mp4 19.93MB
  24. 14. Options and Settings/2. Changing pandas Options with Attributes and Dot Syntax.mp4 19.83MB
  25. 10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 19.68MB
  26. 10. Working with Dates and Times/13. Timestamp Object Attributes.mp4 19.57MB
  27. 4. DataFrames II/8. The .duplicated() Method.mp4 19.56MB
  28. 10. Working with Dates and Times/18. Timedeltas in a Dataset.mp4 19.55MB
  29. 3. DataFrames I/9. Drop Rows with Null Values.mp4 19.20MB
  30. 12. Input and Output/6. Import Excel File into pandas.mp4 19.13MB
  31. 1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 19.06MB
  32. 13. Visualization/2. The .plot() Method.mp4 18.97MB
  33. 5. DataFrames III/5. The Catch-All .ix[] Method.mp4 18.56MB
  34. 10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 18.54MB
  35. 10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 18.34MB
  36. 2. Series/6. Parameters and Arguments.mp4 18.28MB
  37. 3. DataFrames I/7. Broadcasting Operations.mp4 18.23MB
  38. 2. Series/2. Create A Series Object from a Python List.mp4 18.12MB
  39. 1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.mp4 18.07MB
  40. 9. Merging, Joining, and Concatenating/5. Inner Joins, Part 1.mp4 17.92MB
  41. 12. Input and Output/7. Export Excel File.mp4 17.80MB
  42. 3. DataFrames I/1. Intro to DataFrames I Module.mp4 17.63MB
  43. 4. DataFrames II/9. The .drop_duplicates() Method.mp4 17.55MB
  44. 6. Working with Text Data/7. Split Strings by Characters with .str.split() Method.mp4 17.52MB
  45. 7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.mp4 17.34MB
  46. 7. MultiIndex/15. The pd.melt() Method.mp4 17.26MB
  47. 3. DataFrames I/6. Add New Column to DataFrame.mp4 17.23MB
  48. 4. DataFrames II/7. The .between() Method.mp4 16.76MB
  49. 4. DataFrames II/4. Filter with More than One Condition (OR - ).mp4 16.75MB
  50. 10. Working with Dates and Times/2. Review of Python's datetime Module.mp4 16.74MB
  51. 9. Merging, Joining, and Concatenating/6. Inner Joins, Part 2.mp4 16.61MB
  52. 7. MultiIndex/3. The .get_level_values() Method.mp4 16.55MB
  53. 10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 16.33MB
  54. 11. Panels/2. The Axes of a Panel Object.mp4 16.31MB
  55. 5. DataFrames III/10. Delete Rows or Columns from a DataFrame.mp4 16.21MB
  56. 6. Working with Text Data/3. The .str.replace() Method.mp4 16.00MB
  57. 11. Panels/9. Transpose a Panel with the .transpose() Method.mp4 15.73MB
  58. 3. DataFrames I/2. Shared Methods and Attributes between Series and DataFrames.mp4 15.62MB
  59. 6. Working with Text Data/4. Filtering with String Methods.mp4 15.54MB
  60. 1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 15.47MB
  61. 5. DataFrames III/17. The .copy() Method.mp4 15.45MB
  62. 10. Working with Dates and Times/17. The pandas Timedelta Object.mp4 15.41MB
  63. 6. Working with Text Data/9. The expand and n Parameters of the .str.split() Method.mp4 15.30MB
  64. 1. Installation and Setup/9. Windows - Install Anaconda Distribution.mp4 15.20MB
  65. 6. Working with Text Data/2. Common String Methods - lower, upper, title, and len.mp4 14.88MB
  66. 3. DataFrames I/4. Select One Column from a DataFrame.mp4 14.87MB
  67. 7. MultiIndex/11. The .unstack() Method, Part 2.mp4 14.53MB
  68. 8. GroupBy/1. Intro to the Groupby Module.mp4 14.29MB
  69. 14. Options and Settings/3. Changing pandas Options with Methods.mp4 13.92MB
  70. 6. Working with Text Data/1. Intro to the Working with Text Data Module.mp4 13.87MB
  71. 2. Series/16. Extract Series Values by Index Label.mp4 13.74MB
  72. 10. Working with Dates and Times/9. The .dt Accessor.mp4 13.69MB
  73. 11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 13.68MB
  74. 11. Panels/8. The .minor_xs() Method.mp4 13.62MB
  75. 5. DataFrames III/13. Filtering with the .where() Method.mp4 13.56MB
  76. 11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.mp4 13.54MB
  77. 5. DataFrames III/16. The .apply() Method with Row Values.mp4 13.41MB
  78. 5. DataFrames III/9. Rename Index Labels or Columns in a DataFrame.mp4 13.40MB
  79. 5. DataFrames III/4. Retrieve Rows by Index Position with .iloc[].mp4 13.31MB
  80. 3. DataFrames I/12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 13.28MB
  81. 9. Merging, Joining, and Concatenating/3. The pd.concat() Method, Part 2.mp4 13.21MB
  82. 5. DataFrames III/2. The .set_index() and .reset_index() Methods.mp4 13.19MB
  83. 7. MultiIndex/9. The .stack() Method.mp4 13.19MB
  84. 8. GroupBy/6. The .agg() Method.mp4 13.18MB
  85. 3. DataFrames I/15. Rank Values with the .rank() Method.mp4 13.16MB
  86. 3. DataFrames I/3. Differences between Shared Methods.mp4 13.10MB
  87. 2. Series/22. The .map() Method.mp4 13.09MB
  88. 2. Series/4. Intro to Attributes.mp4 12.86MB
  89. 10. Working with Dates and Times/3. The pandas Timestamp Object.mp4 12.81MB
  90. 9. Merging, Joining, and Concatenating/2. The pd.concat() Method, Part 1.mp4 12.56MB
  91. 4. DataFrames II/5. The .isin() Method.mp4 12.54MB
  92. 5. DataFrames III/6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 12.36MB
  93. 2. Series/21. The .apply() Method.mp4 12.32MB
  94. 13. Visualization/4. Bar Graphs.mp4 12.27MB
  95. 4. DataFrames II/6. The .isnull() and .notnull() Methods.mp4 12.26MB
  96. 13. Visualization/6. Histograms.mp4 12.17MB
  97. 11. Panels/7. The .major_xs() Method.mp4 12.12MB
  98. 7. MultiIndex/13. The .pivot() Method.mp4 12.11MB
  99. 13. Visualization/3. Modifying Aesthetics with Templates.mp4 12.09MB
  100. 5. DataFrames III/12. The .nsmallest() and .nlargest() Methods.mp4 12.07MB
  101. 1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.mp4 11.98MB
  102. 7. MultiIndex/12. The .unstack() Method, Part 3.mp4 11.97MB
  103. 6. Working with Text Data/8. More Practice with Splits.mp4 11.93MB
  104. 7. MultiIndex/7. The .transpose() Method and MultiIndex on Column Level.mp4 11.92MB
  105. 5. DataFrames III/15. A Review of the .apply() Method on Single Columns.mp4 11.75MB
  106. 1. Installation and Setup/13. Cell Types and Cell Modes.mp4 11.68MB
  107. 2. Series/10. More Series Attributes.mp4 11.66MB
  108. 1. Installation and Setup/16. Import Libraries into Jupyter Notebook.mp4 11.54MB
  109. 9. Merging, Joining, and Concatenating/1. Intro to the Merging, Joining, and Concatenating Module.mp4 11.46MB
  110. 12. Input and Output/3. Quick Object Conversions.mp4 11.36MB
  111. 6. Working with Text Data/6. String Methods on Index and Columns.mp4 11.13MB
  112. 2. Series/11. The .sort_values() Method.mp4 10.83MB
  113. 3. DataFrames I/10. Fill in Null Values with the .fillna() Method.mp4 10.75MB
  114. 12. Input and Output/4. Export DataFrame to CSV File with the .to_csv() Method.mp4 10.67MB
  115. 11. Panels/3. Panel Attributes.mp4 10.50MB
  116. 8. GroupBy/5. Grouping by Multiple Columns.mp4 10.35MB
  117. 7. MultiIndex/5. The sort_index() Method.mp4 10.25MB
  118. 2. Series/18. Math Methods on Series Objects.mp4 10.16MB
  119. 8. GroupBy/3. Retrieve A Group with the .get_group() Method.mp4 10.14MB
  120. 1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.mp4 10.12MB
  121. 3. DataFrames I/5. Select Two or More Columns from a DataFrame.mp4 9.94MB
  122. 13. Visualization/5. Pie Charts.mp4 9.87MB
  123. 2. Series/9. Python Built-In Functions.mp4 9.87MB
  124. 11. Panels/10. The .swapaxes() Method.mp4 9.71MB
  125. 10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp4 9.65MB
  126. 2. Series/17. The .get() Method on a Series.mp4 9.56MB
  127. 6. Working with Text Data/5. More String Methods - strip, lstrip, and rstrip.mp4 9.54MB
  128. 2. Series/12. The inplace Parameter.mp4 9.39MB
  129. 5. DataFrames III/11. Create Random Sample with the .sample() Method.mp4 9.33MB
  130. 1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.mp4 9.31MB
  131. 4. DataFrames II/3. Filter with More than One Condition (AND - &).mp4 9.29MB
  132. 10. Working with Dates and Times/14. The .truncate() Method.mp4 9.04MB
  133. 1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.mp4 9.00MB
  134. 2. Series/15. Extract Series Values by Index Position.mp4 8.90MB
  135. 5. DataFrames III/7. Set New Values for a Specific Cell or Row.mp4 8.89MB
  136. 3. DataFrames I/13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 8.83MB
  137. 11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 8.69MB
  138. 2. Series/13. The .sort_index() Method.mp4 8.58MB
  139. 7. MultiIndex/10. The .unstack() Method, Part 1.mp4 8.48MB
  140. 3. DataFrames I/8. A Review of the .value_counts() Method.mp4 8.42MB
  141. 7. MultiIndex/1. Intro to the MultiIndex Module.mp4 8.33MB
  142. 11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 8.25MB
  143. 1. Installation and Setup/14. Code Cell Execution.mp4 8.22MB
  144. 4. DataFrames II/10. The .unique() and .nunique() Methods.mp4 8.19MB
  145. 1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.mp4 7.93MB
  146. 2. Series/5. Intro to Methods.mp4 7.91MB
  147. 1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.mp4 7.88MB
  148. 5. DataFrames III/1. Intro to the DataFrames III Module + Import Dataset.mp4 7.67MB
  149. 1. Installation and Setup/8. Windows - Download the Anaconda Distribution.mp4 7.65MB
  150. 12. Input and Output/2. Feed pd.read_csv() Method a URL Argument.mp4 7.61MB
  151. 13. Visualization/1. Intro to Visualization Module.mp4 7.31MB
  152. 2. Series/14. Python's in Keyword.mp4 7.30MB
  153. 1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.mp4 7.20MB
  154. 9. Merging, Joining, and Concatenating/12. The pd.merge() Method.mp4 6.85MB
  155. 2. Series/20. The .value_counts() Method.mp4 6.73MB
  156. 3. DataFrames I/14. Sort DataFrame with the .sort_index() Method.mp4 6.56MB
  157. 2. Series/8. The .head() and .tail() Methods.mp4 6.47MB
  158. 1. Installation and Setup/5. Mac OS - Access the Terminal.mp4 6.35MB
  159. 10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.mp4 6.33MB
  160. 9. Merging, Joining, and Concatenating/11. The .join() Method.mp4 6.27MB
  161. 1. Installation and Setup/15. Popular Keyboard Shortcuts.mp4 6.26MB
  162. 14. Options and Settings/4. The precision Option.mp4 6.10MB
  163. 7. MultiIndex/4. The .set_names() Method.mp4 6.09MB
  164. 12. Input and Output/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 5.98MB
  165. 10. Working with Dates and Times/10. Install pandas-datareader Library.mp4 5.90MB
  166. 2. Series/19. The .idxmax() and .idxmin() Methods.mp4 5.75MB
  167. 2. Series/3. Create A Series Object from a Python Dictionary.mp4 5.19MB
  168. 7. MultiIndex/8. The .swaplevel() Method.mp4 5.18MB
  169. 9. Merging, Joining, and Concatenating/4. The .append() Method on a DataFrame.mp4 5.13MB
  170. 2. Series/1. Create Jupyter Notebook for the Series Module.mp4 3.81MB
  171. 14. Options and Settings/1. Introduction to the Options and Settings Module.mp4 3.33MB
  172. 15. Conclusion/1. Conclusion.mp4 2.95MB
  173. 12. Input and Output/1. Intro to the Input and Output Module.mp4 2.81MB
  174. 1. Installation and Setup/1.1 pandas.zip.zip 684.75KB
  175. 1. Installation and Setup/2.1 CompletedCourseFiles.zip.zip 363.34KB
  176. [FreeCourseSite.com].txt 1.07KB
  177. [HaxTech.me].txt 1.05KB
  178. 1. Installation and Setup/2. Completed Course Files.html 948B
  179. 5. DataFrames III/2.2 reset_index Documentation.html 149B
  180. 3. DataFrames I/12.1 Official pandas Documentation.html 148B
  181. 3. DataFrames I/13.1 Official pandas Documentation.html 148B
  182. 3. DataFrames I/14.1 Official pandas Documentation.html 147B
  183. 5. DataFrames III/2.1 set_index Documentation.html 147B
  184. 2. Series/11.1 Official pandas Documentation.html 145B
  185. 2. Series/13.1 Official pandas Documentation.html 144B
  186. 3. DataFrames I/10.1 Official pandas Documentation.html 143B
  187. 3. DataFrames I/11.1 Official pandas Documentation.html 143B
  188. 3. DataFrames I/15.1 Official pandas Documentation.html 141B
  189. 5. DataFrames III/3.1 loc[] Documentation.html 141B
  190. 2. Series/8.1 Official pandas Documentation.html 138B
  191. 11. Panels/11. A Review of the Panels Module.html 131B
  192. 12. Input and Output/8. Input and Output.html 131B
  193. 13. Visualization/7. Visualization.html 131B
  194. 2. Series/23. A Review of the Series Module.html 131B
  195. [FreeCourseSite.com].url 127B
  196. [HaxTech.me].url 123B