[DesireCourse.Com] Udemy - Data Analysis with Pandas and Python

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Files
  1. 1. Installation and Setup/1. Introduction to the Course.mp4 34.00MB
  2. 1. Installation and Setup/1. Introduction to the Course.vtt 17.20KB
  3. 1. Installation and Setup/1.1 pandas.zip.zip 684.75KB
  4. 1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 19.07MB
  5. 1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.vtt 16.64KB
  6. 1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 15.48MB
  7. 1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.vtt 13.73KB
  8. 1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.mp4 9.31MB
  9. 1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.vtt 7.88KB
  10. 1. Installation and Setup/13. Cell Types and Cell Modes.mp4 11.67MB
  11. 1. Installation and Setup/13. Cell Types and Cell Modes.vtt 10.99KB
  12. 1. Installation and Setup/14. Code Cell Execution.mp4 8.22MB
  13. 1. Installation and Setup/14. Code Cell Execution.vtt 7.18KB
  14. 1. Installation and Setup/15. Popular Keyboard Shortcuts.mp4 6.26MB
  15. 1. Installation and Setup/15. Popular Keyboard Shortcuts.vtt 4.83KB
  16. 1. Installation and Setup/16. Import Libraries into Jupyter Notebook.mp4 11.53MB
  17. 1. Installation and Setup/16. Import Libraries into Jupyter Notebook.vtt 11.37KB
  18. 1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.mp4 11.98MB
  19. 1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.vtt 10.57KB
  20. 1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.mp4 9.00MB
  21. 1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.vtt 7.34KB
  22. 1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.mp4 7.20MB
  23. 1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.vtt 5.96KB
  24. 1. Installation and Setup/2. Completed Course Files.html 782B
  25. 1. Installation and Setup/2.1 CompletedCourseFiles.zip.zip 363.34KB
  26. 1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.mp4 7.88MB
  27. 1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.vtt 6.20KB
  28. 1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.mp4 10.12MB
  29. 1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.vtt 8.96KB
  30. 1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.mp4 7.92MB
  31. 1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.vtt 4.94KB
  32. 1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.mp4 18.06MB
  33. 1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.vtt 8.24KB
  34. 1. Installation and Setup/5. Mac OS - Access the Terminal.mp4 6.35MB
  35. 1. Installation and Setup/5. Mac OS - Access the Terminal.vtt 2.66KB
  36. 1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4 35.28MB
  37. 1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.vtt 16.28KB
  38. 1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 22.16MB
  39. 1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.vtt 16.12KB
  40. 1. Installation and Setup/8. Windows - Download the Anaconda Distribution.mp4 7.64MB
  41. 1. Installation and Setup/8. Windows - Download the Anaconda Distribution.vtt 5.85KB
  42. 1. Installation and Setup/9. Windows - Install Anaconda Distribution.mp4 15.19MB
  43. 1. Installation and Setup/9. Windows - Install Anaconda Distribution.vtt 5.80KB
  44. 10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.mp4 6.32MB
  45. 10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.vtt 5.49KB
  46. 10. Working with Dates and Times/10. Install pandas-datareader Library.mp4 5.90MB
  47. 10. Working with Dates and Times/10. Install pandas-datareader Library.vtt 3.29KB
  48. 10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 25.49MB
  49. 10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.vtt 15.54KB
  50. 10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 18.34MB
  51. 10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.vtt 9.86KB
  52. 10. Working with Dates and Times/13. Timestamp Object Attributes.mp4 19.57MB
  53. 10. Working with Dates and Times/13. Timestamp Object Attributes.vtt 9.42KB
  54. 10. Working with Dates and Times/14. The .truncate() Method.mp4 9.04MB
  55. 10. Working with Dates and Times/14. The .truncate() Method.vtt 3.93KB
  56. 10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 25.59MB
  57. 10. Working with Dates and Times/15. pd.DateOffset Objects.vtt 17.04KB
  58. 10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 31.91MB
  59. 10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.vtt 19.49KB
  60. 10. Working with Dates and Times/17. The pandas Timedelta Object.mp4 15.41MB
  61. 10. Working with Dates and Times/17. The pandas Timedelta Object.vtt 11.62KB
  62. 10. Working with Dates and Times/18. Timedeltas in a Dataset.mp4 19.56MB
  63. 10. Working with Dates and Times/18. Timedeltas in a Dataset.vtt 13.43KB
  64. 10. Working with Dates and Times/2. Review of Python's datetime Module.mp4 16.74MB
  65. 10. Working with Dates and Times/2. Review of Python's datetime Module.vtt 11.62KB
  66. 10. Working with Dates and Times/3. The pandas Timestamp Object.mp4 12.80MB
  67. 10. Working with Dates and Times/3. The pandas Timestamp Object.vtt 9.68KB
  68. 10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp4 9.65MB
  69. 10. Working with Dates and Times/4. The pandas DateTimeIndex Object.vtt 6.67KB
  70. 10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 22.89MB
  71. 10. Working with Dates and Times/5. The pd.to_datetime() Method.vtt 14.91KB
  72. 10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 19.69MB
  73. 10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.vtt 15.42KB
  74. 10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 18.55MB
  75. 10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.vtt 11.79KB
  76. 10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 16.33MB
  77. 10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.vtt 9.84KB
  78. 10. Working with Dates and Times/9. The .dt Accessor.mp4 13.69MB
  79. 10. Working with Dates and Times/9. The .dt Accessor.vtt 9.99KB
  80. 11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 13.68MB
  81. 11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.vtt 11.05KB
  82. 11. Panels/10. The .swapaxes() Method.mp4 9.71MB
  83. 11. Panels/10. The .swapaxes() Method.vtt 6.07KB
  84. 11. Panels/11. A Review of the Panels Module.html 131B
  85. 11. Panels/2. The Axes of a Panel Object.mp4 16.31MB
  86. 11. Panels/2. The Axes of a Panel Object.vtt 11.21KB
  87. 11. Panels/3. Panel Attributes.mp4 10.49MB
  88. 11. Panels/3. Panel Attributes.vtt 7.15KB
  89. 11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 8.25MB
  90. 11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.vtt 6.12KB
  91. 11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.mp4 13.53MB
  92. 11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.vtt 9.49KB
  93. 11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 8.69MB
  94. 11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).vtt 5.88KB
  95. 11. Panels/7. The .major_xs() Method.mp4 12.11MB
  96. 11. Panels/7. The .major_xs() Method.vtt 8.27KB
  97. 11. Panels/8. The .minor_xs() Method.mp4 13.63MB
  98. 11. Panels/8. The .minor_xs() Method.vtt 9.03KB
  99. 11. Panels/9. Transpose a Panel with the .transpose() Method.mp4 15.73MB
  100. 11. Panels/9. Transpose a Panel with the .transpose() Method.vtt 11.21KB
  101. 12. Input and Output/1. Intro to the Input and Output Module.mp4 2.81MB
  102. 12. Input and Output/1. Intro to the Input and Output Module.vtt 2.37KB
  103. 12. Input and Output/2. Feed pd.read_csv() Method a URL Argument.mp4 7.60MB
  104. 12. Input and Output/2. Feed pd.read_csv() Method a URL Argument.vtt 5.83KB
  105. 12. Input and Output/3. Quick Object Conversions.mp4 11.36MB
  106. 12. Input and Output/3. Quick Object Conversions.vtt 7.12KB
  107. 12. Input and Output/4. Export DataFrame to CSV File with the .to_csv() Method.mp4 11.37MB
  108. 12. Input and Output/4. Export DataFrame to CSV File with the .to_csv() Method.vtt 8.86KB
  109. 12. Input and Output/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 5.99MB
  110. 12. Input and Output/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.vtt 3.32KB
  111. 12. Input and Output/6. Import Excel File into pandas.mp4 19.14MB
  112. 12. Input and Output/6. Import Excel File into pandas.vtt 13.94KB
  113. 12. Input and Output/7. Export Excel File.mp4 17.80MB
  114. 12. Input and Output/7. Export Excel File.vtt 13.58KB
  115. 12. Input and Output/8. Input and Output.html 131B
  116. 13. Visualization/1. Intro to Visualization Module.mp4 7.31MB
  117. 13. Visualization/1. Intro to Visualization Module.vtt 6.84KB
  118. 13. Visualization/2. The .plot() Method.mp4 18.97MB
  119. 13. Visualization/2. The .plot() Method.vtt 13.06KB
  120. 13. Visualization/3. Modifying Aesthetics with Templates.mp4 12.08MB
  121. 13. Visualization/3. Modifying Aesthetics with Templates.vtt 7.42KB
  122. 13. Visualization/4. Bar Graphs.mp4 12.27MB
  123. 13. Visualization/4. Bar Graphs.vtt 9.84KB
  124. 13. Visualization/5. Pie Charts.mp4 9.88MB
  125. 13. Visualization/5. Pie Charts.vtt 7.75KB
  126. 13. Visualization/6. Histograms.mp4 12.17MB
  127. 13. Visualization/6. Histograms.vtt 8.83KB
  128. 13. Visualization/7. Visualization.html 131B
  129. 14. Options and Settings/1. Introduction to the Options and Settings Module.mp4 3.33MB
  130. 14. Options and Settings/1. Introduction to the Options and Settings Module.vtt 2.59KB
  131. 14. Options and Settings/2. Changing pandas Options with Attributes and Dot Syntax.mp4 19.83MB
  132. 14. Options and Settings/2. Changing pandas Options with Attributes and Dot Syntax.vtt 10.97KB
  133. 14. Options and Settings/3. Changing pandas Options with Methods.mp4 13.92MB
  134. 14. Options and Settings/3. Changing pandas Options with Methods.vtt 9.62KB
  135. 14. Options and Settings/4. The precision Option.mp4 6.10MB
  136. 14. Options and Settings/4. The precision Option.vtt 4.56KB
  137. 15. Conclusion/1. Conclusion.mp4 2.95MB
  138. 15. Conclusion/1. Conclusion.vtt 2.49KB
  139. 2. Series/1. Create Jupyter Notebook for the Series Module.mp4 3.80MB
  140. 2. Series/1. Create Jupyter Notebook for the Series Module.vtt 3.13KB
  141. 2. Series/10. More Series Attributes.mp4 11.67MB
  142. 2. Series/10. More Series Attributes.vtt 8.20KB
  143. 2. Series/11. The .sort_values() Method.mp4 10.84MB
  144. 2. Series/11. The .sort_values() Method.vtt 8.70KB
  145. 2. Series/11.1 Official pandas Documentation.html 145B
  146. 2. Series/12. The inplace Parameter.mp4 9.39MB
  147. 2. Series/12. The inplace Parameter.vtt 7.65KB
  148. 2. Series/13. The .sort_index() Method.mp4 8.57MB
  149. 2. Series/13. The .sort_index() Method.vtt 6.59KB
  150. 2. Series/13.1 Official pandas Documentation.html 144B
  151. 2. Series/14. Python's in Keyword.mp4 7.30MB
  152. 2. Series/14. Python's in Keyword.vtt 5.23KB
  153. 2. Series/15. Extract Series Values by Index Position.mp4 8.90MB
  154. 2. Series/15. Extract Series Values by Index Position.vtt 5.49KB
  155. 2. Series/16. Extract Series Values by Index Label.mp4 13.73MB
  156. 2. Series/16. Extract Series Values by Index Label.vtt 9.86KB
  157. 2. Series/17. The .get() Method on a Series.mp4 9.57MB
  158. 2. Series/17. The .get() Method on a Series.vtt 6.49KB
  159. 2. Series/18. Math Methods on Series Objects.mp4 10.17MB
  160. 2. Series/18. Math Methods on Series Objects.vtt 7.40KB
  161. 2. Series/19. The .idxmax() and .idxmin() Methods.mp4 5.75MB
  162. 2. Series/19. The .idxmax() and .idxmin() Methods.vtt 4.08KB
  163. 2. Series/2. Create A Series Object from a Python List.mp4 18.12MB
  164. 2. Series/2. Create A Series Object from a Python List.vtt 15.59KB
  165. 2. Series/20. The .value_counts() Method.mp4 6.73MB
  166. 2. Series/20. The .value_counts() Method.vtt 4.88KB
  167. 2. Series/20.1 Official Documentation for the Series.value_counts Method.html 147B
  168. 2. Series/21. The .apply() Method.mp4 12.31MB
  169. 2. Series/21. The .apply() Method.vtt 9.30KB
  170. 2. Series/22. The .map() Method.mp4 13.09MB
  171. 2. Series/22. The .map() Method.vtt 8.65KB
  172. 2. Series/23. A Review of the Series Module.html 131B
  173. 2. Series/3. Create A Series Object from a Python Dictionary.mp4 5.20MB
  174. 2. Series/3. Create A Series Object from a Python Dictionary.vtt 4.12KB
  175. 2. Series/4. Intro to Attributes.mp4 12.85MB
  176. 2. Series/4. Intro to Attributes.vtt 10.18KB
  177. 2. Series/5. Intro to Methods.mp4 7.91MB
  178. 2. Series/5. Intro to Methods.vtt 6.76KB
  179. 2. Series/6. Parameters and Arguments.mp4 18.28MB
  180. 2. Series/6. Parameters and Arguments.vtt 13.91KB
  181. 2. Series/7. Import Series with the .read_csv() Method.mp4 21.14MB
  182. 2. Series/7. Import Series with the .read_csv() Method.vtt 15.54KB
  183. 2. Series/8. The .head() and .tail() Methods.mp4 6.47MB
  184. 2. Series/8. The .head() and .tail() Methods.vtt 5.08KB
  185. 2. Series/8.1 Official pandas Documentation.html 138B
  186. 2. Series/9. Python Built-In Functions.mp4 9.87MB
  187. 2. Series/9. Python Built-In Functions.vtt 6.88KB
  188. 3. DataFrames I/1. Intro to DataFrames I Module.mp4 17.63MB
  189. 3. DataFrames I/1. Intro to DataFrames I Module.vtt 11.01KB
  190. 3. DataFrames I/10. Fill in Null Values with the .fillna() Method.mp4 10.75MB
  191. 3. DataFrames I/10. Fill in Null Values with the .fillna() Method.vtt 6.61KB
  192. 3. DataFrames I/10.1 Official pandas Documentation.html 143B
  193. 3. DataFrames I/11. The .astype() Method.mp4 23.86MB
  194. 3. DataFrames I/11. The .astype() Method.vtt 13.54KB
  195. 3. DataFrames I/11.1 Official pandas Documentation.html 143B
  196. 3. DataFrames I/12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 13.27MB
  197. 3. DataFrames I/12. Sort a DataFrame with the .sort_values() Method, Part I.vtt 7.70KB
  198. 3. DataFrames I/12.1 Official pandas Documentation.html 148B
  199. 3. DataFrames I/13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 8.83MB
  200. 3. DataFrames I/13. Sort a DataFrame with the .sort_values() Method, Part II.vtt 5.81KB
  201. 3. DataFrames I/13.1 Official pandas Documentation.html 148B
  202. 3. DataFrames I/14. Sort DataFrame with the .sort_index() Method.mp4 6.57MB
  203. 3. DataFrames I/14. Sort DataFrame with the .sort_index() Method.vtt 3.91KB
  204. 3. DataFrames I/14.1 Official pandas Documentation.html 147B
  205. 3. DataFrames I/15. Rank Values with the .rank() Method.mp4 13.16MB
  206. 3. DataFrames I/15. Rank Values with the .rank() Method.vtt 8.15KB
  207. 3. DataFrames I/15.1 Official pandas Documentation.html 141B
  208. 3. DataFrames I/2. Shared Methods and Attributes between Series and DataFrames.mp4 15.63MB
  209. 3. DataFrames I/2. Shared Methods and Attributes between Series and DataFrames.vtt 10.88KB
  210. 3. DataFrames I/3. Differences between Shared Methods.mp4 13.10MB
  211. 3. DataFrames I/3. Differences between Shared Methods.vtt 9.13KB
  212. 3. DataFrames I/4. Select One Column from a DataFrame.mp4 14.87MB
  213. 3. DataFrames I/4. Select One Column from a DataFrame.vtt 11.32KB
  214. 3. DataFrames I/5. Select Two or More Columns from a DataFrame.mp4 9.93MB
  215. 3. DataFrames I/5. Select Two or More Columns from a DataFrame.vtt 7.73KB
  216. 3. DataFrames I/6. Add New Column to DataFrame.mp4 17.23MB
  217. 3. DataFrames I/6. Add New Column to DataFrame.vtt 10.91KB
  218. 3. DataFrames I/7. Broadcasting Operations.mp4 18.23MB
  219. 3. DataFrames I/7. Broadcasting Operations.vtt 12.38KB
  220. 3. DataFrames I/8. A Review of the .value_counts() Method.mp4 8.42MB
  221. 3. DataFrames I/8. A Review of the .value_counts() Method.vtt 5.39KB
  222. 3. DataFrames I/9. Drop Rows with Null Values.mp4 19.20MB
  223. 3. DataFrames I/9. Drop Rows with Null Values.vtt 8.97KB
  224. 4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 24.44MB
  225. 4. DataFrames II/1. This Module's Dataset + Memory Optimization.vtt 16.22KB
  226. 4. DataFrames II/10. The .unique() and .nunique() Methods.mp4 8.19MB
  227. 4. DataFrames II/10. The .unique() and .nunique() Methods.vtt 5.92KB
  228. 4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 27.41MB
  229. 4. DataFrames II/2. Filter a DataFrame Based on A Condition.vtt 16.94KB
  230. 4. DataFrames II/3. Filter with More than One Condition (AND - &).mp4 9.29MB
  231. 4. DataFrames II/3. Filter with More than One Condition (AND - &).vtt 6.15KB
  232. 4. DataFrames II/4. Filter with More than One Condition (OR - ).mp4 16.76MB
  233. 4. DataFrames II/4. Filter with More than One Condition (OR - ).vtt 11.39KB
  234. 4. DataFrames II/5. The .isin() Method.mp4 12.53MB
  235. 4. DataFrames II/5. The .isin() Method.vtt 8.81KB
  236. 4. DataFrames II/6. The .isnull() and .notnull() Methods.mp4 12.26MB
  237. 4. DataFrames II/6. The .isnull() and .notnull() Methods.vtt 7.43KB
  238. 4. DataFrames II/7. The .between() Method.mp4 16.76MB
  239. 4. DataFrames II/7. The .between() Method.vtt 9.01KB
  240. 4. DataFrames II/8. The .duplicated() Method.mp4 19.57MB
  241. 4. DataFrames II/8. The .duplicated() Method.vtt 12.27KB
  242. 4. DataFrames II/9. The .drop_duplicates() Method.mp4 17.56MB
  243. 4. DataFrames II/9. The .drop_duplicates() Method.vtt 11.46KB
  244. 5. DataFrames III/1. Intro to the DataFrames III Module + Import Dataset.mp4 7.67MB
  245. 5. DataFrames III/1. Intro to the DataFrames III Module + Import Dataset.vtt 5.11KB
  246. 5. DataFrames III/10. Delete Rows or Columns from a DataFrame.mp4 16.21MB
  247. 5. DataFrames III/10. Delete Rows or Columns from a DataFrame.vtt 9.96KB
  248. 5. DataFrames III/11. Create Random Sample with the .sample() Method.mp4 9.33MB
  249. 5. DataFrames III/11. Create Random Sample with the .sample() Method.vtt 6.45KB
  250. 5. DataFrames III/12. The .nsmallest() and .nlargest() Methods.mp4 12.07MB
  251. 5. DataFrames III/12. The .nsmallest() and .nlargest() Methods.vtt 7.20KB
  252. 5. DataFrames III/13. Filtering with the .where() Method.mp4 13.56MB
  253. 5. DataFrames III/13. Filtering with the .where() Method.vtt 6.70KB
  254. 5. DataFrames III/14. The .query() Method.mp4 19.92MB
  255. 5. DataFrames III/14. The .query() Method.vtt 11.78KB
  256. 5. DataFrames III/15. A Review of the .apply() Method on Single Columns.mp4 11.75MB
  257. 5. DataFrames III/15. A Review of the .apply() Method on Single Columns.vtt 7.40KB
  258. 5. DataFrames III/16. The .apply() Method with Row Values.mp4 13.41MB
  259. 5. DataFrames III/16. The .apply() Method with Row Values.vtt 8.96KB
  260. 5. DataFrames III/17. The .copy() Method.mp4 15.45MB
  261. 5. DataFrames III/17. The .copy() Method.vtt 9.19KB
  262. 5. DataFrames III/2. The .set_index() and .reset_index() Methods.mp4 13.19MB
  263. 5. DataFrames III/2. The .set_index() and .reset_index() Methods.vtt 7.20KB
  264. 5. DataFrames III/2.1 reset_index Documentation.html 149B
  265. 5. DataFrames III/2.2 set_index Documentation.html 147B
  266. 5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 25.87MB
  267. 5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].vtt 13.45KB
  268. 5. DataFrames III/3.1 loc[] Documentation.html 141B
  269. 5. DataFrames III/4. Retrieve Rows by Index Position with .iloc[].mp4 13.31MB
  270. 5. DataFrames III/4. Retrieve Rows by Index Position with .iloc[].vtt 8.24KB
  271. 5. DataFrames III/5. The Catch-All .ix[] Method.mp4 18.57MB
  272. 5. DataFrames III/5. The Catch-All .ix[] Method.vtt 12.61KB
  273. 5. DataFrames III/6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 12.37MB
  274. 5. DataFrames III/6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.vtt 8.30KB
  275. 5. DataFrames III/7. Set New Values for a Specific Cell or Row.mp4 8.89MB
  276. 5. DataFrames III/7. Set New Values for a Specific Cell or Row.vtt 5.65KB
  277. 5. DataFrames III/8. Set Multiple Values in DataFrame.mp4 20.54MB
  278. 5. DataFrames III/8. Set Multiple Values in DataFrame.vtt 13.52KB
  279. 5. DataFrames III/9. Rename Index Labels or Columns in a DataFrame.mp4 13.39MB
  280. 5. DataFrames III/9. Rename Index Labels or Columns in a DataFrame.vtt 9.24KB
  281. 6. Working with Text Data/1. Intro to the Working with Text Data Module.mp4 13.86MB
  282. 6. Working with Text Data/1. Intro to the Working with Text Data Module.vtt 8.23KB
  283. 6. Working with Text Data/2. Common String Methods - lower, upper, title, and len.mp4 14.88MB
  284. 6. Working with Text Data/2. Common String Methods - lower, upper, title, and len.vtt 9.66KB
  285. 6. Working with Text Data/3. The .str.replace() Method.mp4 16.00MB
  286. 6. Working with Text Data/3. The .str.replace() Method.vtt 11.14KB
  287. 6. Working with Text Data/4. Filtering with String Methods.mp4 15.54MB
  288. 6. Working with Text Data/4. Filtering with String Methods.vtt 9.28KB
  289. 6. Working with Text Data/5. More String Methods - strip, lstrip, and rstrip.mp4 9.54MB
  290. 6. Working with Text Data/5. More String Methods - strip, lstrip, and rstrip.vtt 6.05KB
  291. 6. Working with Text Data/6. String Methods on Index and Columns.mp4 11.12MB
  292. 6. Working with Text Data/6. String Methods on Index and Columns.vtt 7.26KB
  293. 6. Working with Text Data/7. Split Strings by Characters with .str.split() Method.mp4 17.53MB
  294. 6. Working with Text Data/7. Split Strings by Characters with .str.split() Method.vtt 11.50KB
  295. 6. Working with Text Data/8. More Practice with Splits.mp4 11.92MB
  296. 6. Working with Text Data/8. More Practice with Splits.vtt 8.04KB
  297. 6. Working with Text Data/9. The expand and n Parameters of the .str.split() Method.mp4 15.30MB
  298. 6. Working with Text Data/9. The expand and n Parameters of the .str.split() Method.vtt 9.68KB
  299. 7. MultiIndex/1. Intro to the MultiIndex Module.mp4 8.33MB
  300. 7. MultiIndex/1. Intro to the MultiIndex Module.vtt 6.72KB
  301. 7. MultiIndex/10. The .unstack() Method, Part 1.mp4 8.49MB
  302. 7. MultiIndex/10. The .unstack() Method, Part 1.vtt 5.34KB
  303. 7. MultiIndex/11. The .unstack() Method, Part 2.mp4 14.53MB
  304. 7. MultiIndex/11. The .unstack() Method, Part 2.vtt 8.63KB
  305. 7. MultiIndex/12. The .unstack() Method, Part 3.mp4 11.96MB
  306. 7. MultiIndex/12. The .unstack() Method, Part 3.vtt 7.24KB
  307. 7. MultiIndex/13. The .pivot() Method.mp4 12.11MB
  308. 7. MultiIndex/13. The .pivot() Method.vtt 10.45KB
  309. 7. MultiIndex/14. The .pivot_table() Method.mp4 22.16MB
  310. 7. MultiIndex/14. The .pivot_table() Method.vtt 14.50KB
  311. 7. MultiIndex/15. The pd.melt() Method.mp4 17.26MB
  312. 7. MultiIndex/15. The pd.melt() Method.vtt 8.29KB
  313. 7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 21.05MB
  314. 7. MultiIndex/2. Create a MultiIndex with the set_index() Method.vtt 12.11KB
  315. 7. MultiIndex/3. The .get_level_values() Method.mp4 16.55MB
  316. 7. MultiIndex/3. The .get_level_values() Method.vtt 12.11KB
  317. 7. MultiIndex/4. The .set_names() Method.mp4 6.10MB
  318. 7. MultiIndex/4. The .set_names() Method.vtt 4.51KB
  319. 7. MultiIndex/5. The sort_index() Method.mp4 10.25MB
  320. 7. MultiIndex/5. The sort_index() Method.vtt 7.63KB
  321. 7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.mp4 17.34MB
  322. 7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.vtt 10.96KB
  323. 7. MultiIndex/7. The .transpose() Method and MultiIndex on Column Level.mp4 11.92MB
  324. 7. MultiIndex/7. The .transpose() Method and MultiIndex on Column Level.vtt 7.59KB
  325. 7. MultiIndex/8. The .swaplevel() Method.mp4 5.19MB
  326. 7. MultiIndex/8. The .swaplevel() Method.vtt 3.39KB
  327. 7. MultiIndex/9. The .stack() Method.mp4 13.20MB
  328. 7. MultiIndex/9. The .stack() Method.vtt 9.05KB
  329. 8. GroupBy/1. Intro to the Groupby Module.mp4 14.30MB
  330. 8. GroupBy/1. Intro to the Groupby Module.vtt 11.33KB
  331. 8. GroupBy/2. First Operations with groupby Object.mp4 23.09MB
  332. 8. GroupBy/2. First Operations with groupby Object.vtt 12.31KB
  333. 8. GroupBy/3. Retrieve A Group with the .get_group() Method.mp4 10.15MB
  334. 8. GroupBy/3. Retrieve A Group with the .get_group() Method.vtt 5.10KB
  335. 8. GroupBy/4. Methods on the Groupby Object and DataFrame Columns.mp4 20.49MB
  336. 8. GroupBy/4. Methods on the Groupby Object and DataFrame Columns.vtt 12.22KB
  337. 8. GroupBy/5. Grouping by Multiple Columns.mp4 10.34MB
  338. 8. GroupBy/5. Grouping by Multiple Columns.vtt 6.34KB
  339. 8. GroupBy/6. The .agg() Method.mp4 13.19MB
  340. 8. GroupBy/6. The .agg() Method.vtt 8.27KB
  341. 8. GroupBy/7. Iterating through Groups.mp4 21.37MB
  342. 8. GroupBy/7. Iterating through Groups.vtt 11.89KB
  343. 9. Merging, Joining, and Concatenating/1. Intro to the Merging, Joining, and Concatenating Module.mp4 11.47MB
  344. 9. Merging, Joining, and Concatenating/1. Intro to the Merging, Joining, and Concatenating Module.vtt 8.53KB
  345. 9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 22.70MB
  346. 9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.vtt 15.15KB
  347. 9. Merging, Joining, and Concatenating/11. The .join() Method.mp4 6.28MB
  348. 9. Merging, Joining, and Concatenating/11. The .join() Method.vtt 4.40KB
  349. 9. Merging, Joining, and Concatenating/12. The pd.merge() Method.mp4 6.85MB
  350. 9. Merging, Joining, and Concatenating/12. The pd.merge() Method.vtt 4.67KB
  351. 9. Merging, Joining, and Concatenating/2. The pd.concat() Method, Part 1.mp4 12.57MB
  352. 9. Merging, Joining, and Concatenating/2. The pd.concat() Method, Part 1.vtt 8.12KB
  353. 9. Merging, Joining, and Concatenating/3. The pd.concat() Method, Part 2.mp4 13.21MB
  354. 9. Merging, Joining, and Concatenating/3. The pd.concat() Method, Part 2.vtt 9.23KB
  355. 9. Merging, Joining, and Concatenating/4. The .append() Method on a DataFrame.mp4 5.13MB
  356. 9. Merging, Joining, and Concatenating/4. The .append() Method on a DataFrame.vtt 3.14KB
  357. 9. Merging, Joining, and Concatenating/5. Inner Joins, Part 1.mp4 17.92MB
  358. 9. Merging, Joining, and Concatenating/5. Inner Joins, Part 1.vtt 12.84KB
  359. 9. Merging, Joining, and Concatenating/6. Inner Joins, Part 2.mp4 17.75MB
  360. 9. Merging, Joining, and Concatenating/6. Inner Joins, Part 2.vtt 12.73KB
  361. 9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 25.94MB
  362. 9. Merging, Joining, and Concatenating/7. Outer Joins.vtt 16.78KB
  363. 9. Merging, Joining, and Concatenating/8. Left Joins.mp4 20.99MB
  364. 9. Merging, Joining, and Concatenating/8. Left Joins.vtt 11.92KB
  365. 9. Merging, Joining, and Concatenating/9. The left_on and right_on Parameters.mp4 20.24MB
  366. 9. Merging, Joining, and Concatenating/9. The left_on and right_on Parameters.vtt 12.74KB
  367. [DesireCourse.Com].txt 754B
  368. [DesireCourse.Com].url 51B