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Udemy Data Analysis with Pandas and Python Desire Course

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Uploader: CourseClub
Source: 1 Logo 1337x
Type: Tutorials
Language: English
Category: Other
Size: 2.3 GB
Added: Oct. 28, 2023, 7:10 p.m.
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Files:
  1. 1. Introduction to the Course.mp4 34.0 MB
  2. 1. Introduction to the Course.srt 19.6 KB
  3. 1.1 pandas.zip.zip 684.7 KB
  4. 10. Windows - Install Anaconda Distribution.mp4 15.2 MB
  5. 10. Windows - Install Anaconda Distribution.srt 6.2 KB
  6. 11. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 19.1 MB
  7. 11. Windows - Access the Command Prompt and Update Anaconda Libraries.srt 18.0 KB
  8. 12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 15.5 MB
  9. 12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.srt 15.1 KB
  10. 13. Intro to the Jupyter Notebook Interface.mp4 9.3 MB
  11. 13. Intro to the Jupyter Notebook Interface.srt 8.4 KB
  12. 14. Cell Types and Cell Modes.mp4 11.7 MB
  13. 14. Cell Types and Cell Modes.srt 11.5 KB
  14. 15. Code Cell Execution.mp4 8.2 MB
  15. 15. Code Cell Execution.srt 7.8 KB
  16. 16. Popular Keyboard Shortcuts.mp4 6.3 MB
  17. 16. Popular Keyboard Shortcuts.srt 5.1 KB
  18. 17. Import Libraries into Jupyter Notebook.mp4 11.5 MB
  19. 17. Import Libraries into Jupyter Notebook.srt 12.2 KB
  20. 18. Python Crash Course, Part 1 - Data Types and Variables.mp4 12.0 MB
  21. 18. Python Crash Course, Part 1 - Data Types and Variables.srt 11.3 KB
  22. 19. Python Crash Course, Part 2 - Lists.mp4 9.0 MB
  23. 19. Python Crash Course, Part 2 - Lists.srt 7.7 KB
  24. 2. About Me.mp4 21.3 MB
  25. 2. About Me.srt 1.7 KB
  26. 20. Python Crash Course, Part 3 - Dictionaries.mp4 7.2 MB
  27. 20. Python Crash Course, Part 3 - Dictionaries.srt 6.3 KB
  28. 21. Python Crash Course, Part 4 - Operators.mp4 7.9 MB
  29. 21. Python Crash Course, Part 4 - Operators.srt 7.0 KB
  30. 22. Python Crash Course, Part 5 - Functions.mp4 10.1 MB
  31. 22. Python Crash Course, Part 5 - Functions.srt 9.6 KB
  32. 3. Completed Course Files.html 782 bytes
  33. 3.1 CompletedCourseFiles.zip.zip 363.3 KB
  34. 4. Mac OS - Download the Anaconda Distribution.mp4 7.9 MB
  35. 4. Mac OS - Download the Anaconda Distribution.srt 5.1 KB
  36. 5. Mac OS - Install Anaconda Distribution.mp4 18.1 MB
  37. 5. Mac OS - Install Anaconda Distribution.srt 8.8 KB
  38. 6. Mac OS - Access the Terminal.mp4 6.4 MB
  39. 6. Mac OS - Access the Terminal.srt 2.9 KB
  40. 7. Mac OS - Update Anaconda Libraries.mp4 35.3 MB
  41. 7. Mac OS - Update Anaconda Libraries.srt 17.7 KB
  42. 8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 22.2 MB
  43. 8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.srt 17.9 KB
  44. 9. Windows - Download the Anaconda Distribution.mp4 7.6 MB
  45. 9. Windows - Download the Anaconda Distribution.srt 6.1 KB
  46. 1. Intro to the Working with Dates and Times Module.mp4 6.3 MB
  47. 1. Intro to the Working with Dates and Times Module.srt 6.2 KB
  48. 10. Install pandas-datareader Library.mp4 5.9 MB
  49. 10. Install pandas-datareader Library.srt 3.5 KB
  50. 11. Import Financial Data Set with pandas_datareader Library.mp4 25.5 MB
  51. 11. Import Financial Data Set with pandas_datareader Library.srt 16.2 KB
  52. 12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 18.3 MB
  53. 12. Selecting Rows from a DataFrame with a DateTimeIndex.srt 11.2 KB
  54. 13. Timestamp Object Attributes.mp4 19.6 MB
  55. 13. Timestamp Object Attributes.srt 10.6 KB
  56. 14. The .truncate() Method.mp4 9.0 MB
  57. 14. The .truncate() Method.srt 4.1 KB
  58. 15. pd.DateOffset Objects.mp4 25.6 MB
  59. 15. pd.DateOffset Objects.srt 18.4 KB
  60. 16. More Fun with pd.DateOffset Objects.mp4 31.9 MB
  61. 16. More Fun with pd.DateOffset Objects.srt 21.1 KB
  62. 17. The pandas Timedelta Object.mp4 15.4 MB
  63. 17. The pandas Timedelta Object.srt 12.2 KB
  64. 18. Timedeltas in a Dataset.mp4 19.6 MB
  65. 18. Timedeltas in a Dataset.srt 14.4 KB
  66. 2. Review of Python's datetime Module.mp4 16.7 MB
  67. 2. Review of Python's datetime Module.srt 13.2 KB
  68. 3. The pandas Timestamp Object.mp4 12.8 MB
  69. 3. The pandas Timestamp Object.srt 10.2 KB
  70. 4. The pandas DateTimeIndex Object.mp4 9.7 MB
  71. 4. The pandas DateTimeIndex Object.srt 7.2 KB
  72. 5. The pd.to_datetime() Method.mp4 22.9 MB
  73. 5. The pd.to_datetime() Method.srt 16.0 KB
  74. 6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 19.7 MB
  75. 6. Create Range of Dates with the pd.date_range() Method, Part 1.srt 16.8 KB
  76. 7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 18.5 MB
  77. 7. Create Range of Dates with the pd.date_range() Method, Part 2.srt 12.6 KB
  78. 8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 16.3 MB
  79. 8. Create Range of Dates with the pd.date_range() Method, Part 3.srt 10.5 KB
  80. 9. The .dt Accessor.mp4 13.7 MB
  81. 9. The .dt Accessor.srt 10.6 KB
  82. 1. DEPRECATION WARNING.html 474 bytes
  83. 10. Transpose a Panel with the .transpose() Method.mp4 15.7 MB
  84. 10. Transpose a Panel with the .transpose() Method.srt 11.8 KB
  85. 11. The .swapaxes() Method.mp4 9.7 MB
  86. 11. The .swapaxes() Method.srt 6.3 KB
  87. 12. A Review of the Panels Module.html 135 bytes
  88. 2. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 13.7 MB
  89. 2. Intro to the Module + Fetch Panel Dataset from Google Finance.srt 11.9 KB
  90. 3. The Axes of a Panel Object.mp4 16.3 MB
  91. 3. The Axes of a Panel Object.srt 12.1 KB
  92. 4. Panel Attributes.mp4 10.5 MB
  93. 4. Panel Attributes.srt 7.5 KB
  94. 5. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 8.3 MB
  95. 5. Use Bracket Notation to Extract a DataFrame from a Panel.srt 6.3 KB
  96. 6. Extracting with the .loc, .iloc, and .ix Methods.mp4 13.5 MB
  97. 6. Extracting with the .loc, .iloc, and .ix Methods.srt 10.1 KB
  98. 7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 8.7 MB
  99. 7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).srt 6.0 KB
  100. 8. The .major_xs() Method.mp4 12.1 MB
  101. 8. The .major_xs() Method.srt 8.4 KB
  102. 9. The .minor_xs() Method.mp4 13.6 MB
  103. 9. The .minor_xs() Method.srt 9.5 KB
  104. 1. Intro to the Input and Output Module.mp4 2.8 MB
  105. 1. Intro to the Input and Output Module.srt 2.5 KB
  106. 2. Feed pd.read_csv() Method a URL Argument.mp4 7.6 MB
  107. 2. Feed pd.read_csv() Method a URL Argument.srt 6.0 KB
  108. 3. Quick Object Conversions.mp4 11.4 MB
  109. 3. Quick Object Conversions.srt 7.7 KB
  110. 4. Export DataFrame to CSV File with the .to_csv() Method.mp4 11.4 MB
  111. 4. Export DataFrame to CSV File with the .to_csv() Method.srt 9.3 KB
  112. 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 6.0 MB
  113. 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.srt 3.6 KB
  114. 6. Import Excel File into pandas.mp4 19.1 MB
  115. 6. Import Excel File into pandas.srt 14.7 KB
  116. 7. Export Excel File.mp4 17.8 MB
  117. 7. Export Excel File.srt 14.6 KB
  118. 8. Input and Output.html 135 bytes
  119. 1. Intro to Visualization Module.mp4 7.3 MB
  120. 1. Intro to Visualization Module.srt 7.0 KB
  121. 2. The .plot() Method.mp4 19.0 MB
  122. 2. The .plot() Method.srt 14.8 KB
  123. 3. Modifying Aesthetics with Templates.mp4 12.1 MB
  124. 3. Modifying Aesthetics with Templates.srt 8.4 KB
  125. 4. Bar Graphs.mp4 12.3 MB
  126. 4. Bar Graphs.srt 10.3 KB
  127. 5. Pie Charts.mp4 9.9 MB
  128. 5. Pie Charts.srt 8.1 KB
  129. 6. Histograms.mp4 12.2 MB
  130. 6. Histograms.srt 9.5 KB
  131. 7. Visualization.html 135 bytes
  132. 1. Introduction to the Options and Settings Module.mp4 3.3 MB
  133. 1. Introduction to the Options and Settings Module.srt 2.7 KB
  134. 2. Changing pandas Options with Attributes and Dot Syntax.mp4 19.8 MB
  135. 2. Changing pandas Options with Attributes and Dot Syntax.srt 11.7 KB
  136. 3. Changing pandas Options with Methods.mp4 13.9 MB
  137. 3. Changing pandas Options with Methods.srt 9.9 KB
  138. 4. The precision Option.mp4 6.1 MB
  139. 4. The precision Option.srt 5.0 KB
  140. 1. Conclusion.mp4 3.0 MB
  141. 1. Conclusion.srt 2.8 KB
  142. 1. Create Jupyter Notebook for the Series Module.mp4 3.8 MB
  143. 1. Create Jupyter Notebook for the Series Module.srt 3.3 KB
  144. 10. More Series Attributes.mp4 11.7 MB
  145. 10. More Series Attributes.srt 8.9 KB
  146. 11. The .sort_values() Method.mp4 10.8 MB
  147. 11. The .sort_values() Method.srt 9.2 KB
  148. 11.1 Official pandas Documentation.html 145 bytes
  149. 12. The inplace Parameter.mp4 9.4 MB
  150. 12. The inplace Parameter.srt 8.1 KB
  151. 13. The .sort_index() Method.mp4 8.6 MB
  152. 13. The .sort_index() Method.srt 6.9 KB
  153. 13.1 Official pandas Documentation.html 144 bytes
  154. 14. Python's in Keyword.mp4 7.3 MB
  155. 14. Python's in Keyword.srt 5.6 KB
  156. 15. Extract Series Values by Index Position.mp4 8.9 MB
  157. 15. Extract Series Values by Index Position.srt 6.0 KB
  158. 16. Extract Series Values by Index Label.mp4 13.7 MB
  159. 16. Extract Series Values by Index Label.srt 10.7 KB
  160. 17. The .get() Method on a Series.mp4 9.6 MB
  161. 17. The .get() Method on a Series.srt 7.1 KB
  162. 18. Math Methods on Series Objects.mp4 10.2 MB
  163. 18. Math Methods on Series Objects.srt 7.8 KB
  164. 19. The .idxmax() and .idxmin() Methods.mp4 5.8 MB
  165. 19. The .idxmax() and .idxmin() Methods.srt 4.4 KB
  166. 2. Create A Series Object from a Python List.mp4 18.1 MB
  167. 2. Create A Series Object from a Python List.srt 16.5 KB
  168. 20. The .value_counts() Method.mp4 6.7 MB
  169. 20. The .value_counts() Method.srt 5.2 KB
  170. 20.1 Official Documentation for the Series.value_counts Method.html 147 bytes
  171. 21. The .apply() Method.mp4 12.3 MB
  172. 21. The .apply() Method.srt 9.7 KB
  173. 22. The .map() Method.mp4 13.1 MB
  174. 22. The .map() Method.srt 9.5 KB
  175. 23. A Review of the Series Module.html 135 bytes
  176. 3. Create A Series Object from a Python Dictionary.mp4 5.2 MB
  177. 3. Create A Series Object from a Python Dictionary.srt 4.3 KB
  178. 4. Intro to Attributes.mp4 12.9 MB
  179. 4. Intro to Attributes.srt 11.2 KB
  180. 5. Intro to Methods.mp4 7.9 MB
  181. 5. Intro to Methods.srt 7.3 KB
  182. 6. Parameters and Arguments.mp4 18.3 MB
  183. 6. Parameters and Arguments.srt 14.6 KB
  184. 7. Import Series with the .read_csv() Method.mp4 21.1 MB
  185. 7. Import Series with the .read_csv() Method.srt 16.2 KB
  186. 8. The .head() and .tail() Methods.mp4 6.5 MB
  187. 8. The .head() and .tail() Methods.srt 5.4 KB
  188. 8.1 Official pandas Documentation.html 138 bytes
  189. 9. Python Built-In Functions.mp4 9.9 MB
  190. 9. Python Built-In Functions.srt 7.4 KB
  191. 1. Intro to DataFrames I Module.mp4 17.6 MB
  192. 1. Intro to DataFrames I Module.srt 11.9 KB
  193. 10. Fill in Null Values with the .fillna() Method.mp4 10.8 MB
  194. 10. Fill in Null Values with the .fillna() Method.srt 7.0 KB
  195. 10.1 Official pandas Documentation.html 143 bytes
  196. 11. The .astype() Method.mp4 23.9 MB
  197. 11. The .astype() Method.srt 15.5 KB
  198. 11.1 Official pandas Documentation.html 143 bytes
  199. 12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 13.3 MB
  200. 12. Sort a DataFrame with the .sort_values() Method, Part I.srt 8.1 KB
  201. 12.1 Official pandas Documentation.html 148 bytes
  202. 13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 8.8 MB
  203. 13. Sort a DataFrame with the .sort_values() Method, Part II.srt 6.2 KB
  204. 13.1 Official pandas Documentation.html 148 bytes
  205. 14. Sort DataFrame with the .sort_index() Method.mp4 6.6 MB
  206. 14. Sort DataFrame with the .sort_index() Method.srt 4.1 KB
  207. 14.1 Official pandas Documentation.html 147 bytes
  208. 15. Rank Values with the .rank() Method.mp4 13.2 MB
  209. 15. Rank Values with the .rank() Method.srt 8.5 KB
  210. 15.1 Official pandas Documentation.html 141 bytes
  211. 2. Shared Methods and Attributes between Series and DataFrames.mp4 15.6 MB
  212. 2. Shared Methods and Attributes between Series and DataFrames.srt 11.6 KB
  213. 3. Differences between Shared Methods.mp4 13.1 MB
  214. 3. Differences between Shared Methods.srt 9.8 KB
  215. 4. Select One Column from a DataFrame.mp4 14.9 MB
  216. 4. Select One Column from a DataFrame.srt 12.0 KB
  217. 5. Select Two or More Columns from a DataFrame.mp4 9.9 MB
  218. 5. Select Two or More Columns from a DataFrame.srt 8.3 KB
  219. 6. Add New Column to DataFrame.mp4 17.2 MB
  220. 6. Add New Column to DataFrame.srt 11.7 KB
  221. 7. Broadcasting Operations.mp4 18.2 MB
  222. 7. Broadcasting Operations.srt 13.5 KB
  223. 8. A Review of the .value_counts() Method.mp4 8.4 MB
  224. 8. A Review of the .value_counts() Method.srt 5.9 KB
  225. 9. Drop Rows with Null Values.mp4 19.2 MB
  226. 9. Drop Rows with Null Values.srt 9.4 KB
  227. 1. This Module's Dataset + Memory Optimization.mp4 24.4 MB
  228. 1. This Module's Dataset + Memory Optimization.srt 17.4 KB
  229. 10. The .unique() and .nunique() Methods.mp4 8.2 MB
  230. 10. The .unique() and .nunique() Methods.srt 6.5 KB
  231. 2. Filter a DataFrame Based on A Condition.mp4 27.4 MB
  232. 2. Filter a DataFrame Based on A Condition.srt 18.6 KB
  233. 3. Filter with More than One Condition (AND - &).mp4 9.3 MB
  234. 3. Filter with More than One Condition (AND - &).srt 6.7 KB
  235. 4. Filter with More than One Condition (OR - ).mp4 16.8 MB
  236. 4. Filter with More than One Condition (OR - ).srt 12.1 KB
  237. 5. The .isin() Method.mp4 12.5 MB
  238. 5. The .isin() Method.srt 9.5 KB
  239. 6. The .isnull() and .notnull() Methods.mp4 12.3 MB
  240. 6. The .isnull() and .notnull() Methods.srt 8.1 KB
  241. 7. The .between() Method.mp4 16.8 MB
  242. 7. The .between() Method.srt 10.2 KB
  243. 8. The .duplicated() Method.mp4 19.6 MB
  244. 8. The .duplicated() Method.srt 13.7 KB
  245. 8.1 Official documentation for the DataFrame.duplicated method.html 152 bytes
  246. 9. The .drop_duplicates() Method.mp4 17.5 MB
  247. 9. The .drop_duplicates() Method.srt 12.4 KB
  248. 9.1 Official documentation for the DataFrame.drop_duplicates method.html 157 bytes
  249. 1. Intro to the DataFrames III Module + Import Dataset.mp4 7.7 MB
  250. 1. Intro to the DataFrames III Module + Import Dataset.srt 5.3 KB
  251. 10. Delete Rows or Columns from a DataFrame.mp4 16.2 MB
  252. 10. Delete Rows or Columns from a DataFrame.srt 10.7 KB
  253. 11. Create Random Sample with the .sample() Method.mp4 9.3 MB
  254. 11. Create Random Sample with the .sample() Method.srt 6.9 KB
  255. 12. The .nsmallest() and .nlargest() Methods.mp4 12.1 MB
  256. 12. The .nsmallest() and .nlargest() Methods.srt 7.5 KB
  257. 13. Filtering with the .where() Method.mp4 13.6 MB
  258. 13. Filtering with the .where() Method.srt 7.3 KB
  259. 14. The .query() Method.mp4 19.9 MB
  260. 14. The .query() Method.srt 12.6 KB
  261. 15. A Review of the .apply() Method on Single Columns.mp4 11.8 MB
  262. 15. A Review of the .apply() Method on Single Columns.srt 8.0 KB
  263. 16. The .apply() Method with Row Values.mp4 13.4 MB
  264. 16. The .apply() Method with Row Values.srt 9.7 KB
  265. 17. The .copy() Method.mp4 15.4 MB
  266. 17. The .copy() Method.srt 9.8 KB
  267. 2. The .set_index() and .reset_index() Methods.mp4 13.2 MB
  268. 2. The .set_index() and .reset_index() Methods.srt 7.3 KB
  269. 2.1 set_index Documentation.html 147 bytes
  270. 2.2 reset_index Documentation.html 149 bytes
  271. 3. Retrieve Rows by Index Label with .loc[].mp4 25.9 MB
  272. 3. Retrieve Rows by Index Label with .loc[].srt 14.4 KB
  273. 3.1 loc[] Documentation.html 141 bytes
  274. 4. Retrieve Rows by Index Position with .iloc[].mp4 13.3 MB
  275. 4. Retrieve Rows by Index Position with .iloc[].srt 8.6 KB
  276. 5. The Catch-All .ix[] Method.mp4 18.6 MB
  277. 5. The Catch-All .ix[] Method.srt 13.5 KB
  278. 6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 12.4 MB
  279. 6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.srt 8.7 KB
  280. 7. Set New Values for a Specific Cell or Row.mp4 8.9 MB
  281. 7. Set New Values for a Specific Cell or Row.srt 5.9 KB
  282. 8. Set Multiple Values in DataFrame.mp4 20.5 MB
  283. 8. Set Multiple Values in DataFrame.srt 14.6 KB
  284. 9. Rename Index Labels or Columns in a DataFrame.mp4 13.4 MB
  285. 9. Rename Index Labels or Columns in a DataFrame.srt 9.7 KB
  286. 1. Intro to the Working with Text Data Module.mp4 13.9 MB
  287. 1. Intro to the Working with Text Data Module.srt 9.3 KB
  288. 2. Common String Methods - lower, upper, title, and len.mp4 14.9 MB
  289. 2. Common String Methods - lower, upper, title, and len.srt 10.5 KB
  290. 3. The .str.replace() Method.mp4 16.0 MB
  291. 3. The .str.replace() Method.srt 12.0 KB
  292. 4. Filtering with String Methods.mp4 15.5 MB
  293. 4. Filtering with String Methods.srt 9.9 KB
  294. 5. More String Methods - strip, lstrip, and rstrip.mp4 9.5 MB
  295. 5. More String Methods - strip, lstrip, and rstrip.srt 6.3 KB
  296. 6. String Methods on Index and Columns.mp4 11.1 MB
  297. 6. String Methods on Index and Columns.srt 7.6 KB
  298. 7. Split Strings by Characters with .str.split() Method.mp4 17.5 MB
  299. 7. Split Strings by Characters with .str.split() Method.srt 12.6 KB
  300. 8. More Practice with Splits.mp4 11.9 MB
  301. 8. More Practice with Splits.srt 8.5 KB
  302. 9. The expand and n Parameters of the .str.split() Method.mp4 15.3 MB
  303. 9. The expand and n Parameters of the .str.split() Method.srt 10.3 KB
  304. 1. Intro to the MultiIndex Module.mp4 8.3 MB
  305. 1. Intro to the MultiIndex Module.srt 7.0 KB
  306. 10. The .unstack() Method, Part 1.mp4 8.5 MB
  307. 10. The .unstack() Method, Part 1.srt 5.7 KB
  308. 11. The .unstack() Method, Part 2.mp4 14.5 MB
  309. 11. The .unstack() Method, Part 2.srt 9.3 KB
  310. 12. The .unstack() Method, Part 3.mp4 12.0 MB
  311. 12. The .unstack() Method, Part 3.srt 7.9 KB
  312. 13. The .pivot() Method.mp4 12.1 MB
  313. 13. The .pivot() Method.srt 10.9 KB
  314. 14. The .pivot_table() Method.mp4 22.2 MB
  315. 14. The .pivot_table() Method.srt 16.5 KB
  316. 15. The pd.melt() Method.mp4 17.3 MB
  317. 15. The pd.melt() Method.srt 9.1 KB
  318. 2. Create a MultiIndex with the set_index() Method.mp4 21.1 MB
  319. 2. Create a MultiIndex with the set_index() Method.srt 13.0 KB
  320. 3. The .get_level_values() Method.mp4 16.5 MB
  321. 3. The .get_level_values() Method.srt 12.8 KB
  322. 4. The .set_names() Method.mp4 6.1 MB
  323. 4. The .set_names() Method.srt 4.8 KB
  324. 5. The sort_index() Method.mp4 10.2 MB
  325. 5. The sort_index() Method.srt 8.0 KB
  326. 6. Extract Rows from a MultiIndex DataFrame.mp4 17.3 MB
  327. 6. Extract Rows from a MultiIndex DataFrame.srt 11.7 KB
  328. 7. The .transpose() Method and MultiIndex on Column Level.mp4 11.9 MB
  329. 7. The .transpose() Method and MultiIndex on Column Level.srt 8.0 KB
  330. 8. The .swaplevel() Method.mp4 5.2 MB
  331. 8. The .swaplevel() Method.srt 3.5 KB
  332. 9. The .stack() Method.mp4 13.2 MB
  333. 9. The .stack() Method.srt 9.6 KB
  334. 1. Intro to the Groupby Module.mp4 14.3 MB
  335. 1. Intro to the Groupby Module.srt 12.2 KB
  336. 2. First Operations with groupby Object.mp4 23.1 MB
  337. 2. First Operations with groupby Object.srt 14.0 KB
  338. 3. Retrieve A Group with the .get_group() Method.mp4 10.1 MB
  339. 3. Retrieve A Group with the .get_group() Method.srt 5.4 KB
  340. 4. Methods on the Groupby Object and DataFrame Columns.mp4 20.5 MB
  341. 4. Methods on the Groupby Object and DataFrame Columns.srt 12.7 KB
  342. 5. Grouping by Multiple Columns.mp4 10.3 MB
  343. 5. Grouping by Multiple Columns.srt 6.7 KB
  344. 6. The .agg() Method.mp4 13.2 MB
  345. 6. The .agg() Method.srt 8.9 KB
  346. 7. Iterating through Groups.mp4 21.4 MB
  347. 7. Iterating through Groups.srt 12.7 KB
  348. 1. Intro to the Merging, Joining, and Concatenating Module.mp4 11.5 MB
  349. 1. Intro to the Merging, Joining, and Concatenating Module.srt 8.9 KB
  350. 10. Merging by Indexes with the left_index and right_index Parameters.mp4 22.7 MB
  351. 10. Merging by Indexes with the left_index and right_index Parameters.srt 15.4 KB
  352. 11. The .join() Method.mp4 6.3 MB
  353. 11. The .join() Method.srt 4.5 KB
  354. 12. The pd.merge() Method.mp4 6.8 MB
  355. 12. The pd.merge() Method.srt 4.7 KB
  356. 2. The pd.concat() Method, Part 1.mp4 12.6 MB
  357. 2. The pd.concat() Method, Part 1.srt 8.6 KB
  358. 3. The pd.concat() Method, Part 2.mp4 13.2 MB
  359. 3. The pd.concat() Method, Part 2.srt 9.8 KB
  360. 4. The .append() Method on a DataFrame.mp4 5.1 MB
  361. 4. The .append() Method on a DataFrame.srt 3.2 KB
  362. 5. Inner Joins, Part 1.mp4 17.9 MB
  363. 5. Inner Joins, Part 1.srt 14.6 KB
  364. 6. Inner Joins, Part 2.mp4 17.8 MB
  365. 6. Inner Joins, Part 2.srt 13.3 KB
  366. 7. Outer Joins.mp4 25.9 MB
  367. 7. Outer Joins.srt 17.7 KB
  368. 8. Left Joins.mp4 21.0 MB
  369. 8. Left Joins.srt 13.5 KB
  370. 9. The left_on and right_on Parameters.mp4 20.2 MB
  371. 9. The left_on and right_on Parameters.srt 13.3 KB
  372. [CourseClub.Me].url 48 bytes
  373. [DesireCourse.Net].url 51 bytes
  374. [FreeCourseWorld.Com].url 54 bytes

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