Data Analysis with Pandas and Python

File Type Create Time File Size Seeders Leechers Updated
Movie 2018-07-23 2.34GB 0 0 2 years ago
Download
Magnet link   or   Save Instantly without Torrenting   or   Torrent download

To download this file, you need a free bitTorrent client such as qBittorrent.

Report Abuse
Tags
Data  Analysis  with  Pandas  and  Python  
Related Torrents
  1. [ DevCourseWeb.com ] Udemy - The Pandas Bootcamp Data Analysis with Pandas Python3 2.61GB
  2. [ DevCourseWeb.com ] Udemy - The Ultimate Beginners Guide to Data Analysis with Pandas 2.36GB
  3. Molin S. Hands-On Data Analysis with Pandas...2ed 2021 85.30MB
  4. [ FreeCourseWeb.com ] Mastering Data Analysis with Polars in Python - Crash Course 956.34MB
  5. Udemy - Data Analysis with Python NumPy & Pandas Masterclass 4.02GB
  6. Complete Data Analysis Course with Pandas & NumPy Python 4.03GB
  7. Mastering Data Analysis With Python Pandas & Matplotlib 2018 441.61MB
  8. [ DevCourseWeb.com ] Python Pandas and Python Data Structures for Beginners 71.33MB
  9. Data Analysis with Python From Data Wrangling to Actionable Insights 2 in 1 Guide 1.61MB
  10. [ DevCourseWeb.com ] Python Pandas And Python Statements For Beginners - 2 Books In 1 257.44KB
Files
  1. 01 Installation and Setup/006 Mac OS - Update Anaconda Libraries.mp4 35.27MB
  2. 01 Installation and Setup/001 Introduction to the Course.mp4 34.00MB
  3. 10 Working with Dates and Times/144 More Fun with pd.DateOffset Objects.mp4 31.91MB
  4. 04 DataFrames II/060 Filter a DataFrame Based on A Condition.mp4 27.40MB
  5. 09 Merging Joining and Concatenating/123 Outer Joins.mp4 25.94MB
  6. 05 DataFrames III/071 Retrieve Rows by Index Label with .loc.mp4 25.87MB
  7. 10 Working with Dates and Times/143 pd.DateOffset Objects.mp4 25.58MB
  8. 10 Working with Dates and Times/139 Import Financial Data Set with pandas_datareader Library.mp4 25.48MB
  9. 04 DataFrames II/059 This Modules Dataset Memory Optimization.mp4 24.44MB
  10. 03 DataFrames I/054 The .astype() Method.mp4 23.86MB
  11. 08 GroupBy/111 First Operations with groupby Object.mp4 23.08MB
  12. 10 Working with Dates and Times/133 The pd.to_datetime() Method.mp4 22.88MB
  13. 01 Installation and Setup/004 Mac OS - Install Anaconda Distribution.mp4 22.76MB
  14. 09 Merging Joining and Concatenating/126 Merging by Indexes with the left_index and right_index Parameters.mp4 22.70MB
  15. 01 Installation and Setup/010 Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 22.50MB
  16. 07 MultiIndex/108 The .pivot_table() Method.mp4 22.16MB
  17. 01 Installation and Setup/007 Mac OS - Unpack Course Materials The Startdown and Shutdown Process.mp4 22.15MB
  18. 08 GroupBy/116 Iterating through Groups.mp4 21.37MB
  19. 02 Series/028 Import Series with the .read_csv() Method.mp4 21.14MB
  20. 07 MultiIndex/096 Create a MultiIndex with the set_index() Method.mp4 21.05MB
  21. 09 Merging Joining and Concatenating/124 Left Joins.mp4 20.99MB
  22. 05 DataFrames III/076 Set Multiple Values in DataFrame.mp4 20.54MB
  23. 08 GroupBy/113 Methods on the Groupby Object and DataFrame Columns.mp4 20.49MB
  24. 09 Merging Joining and Concatenating/125 The left_on and right_on Parameters.mp4 20.24MB
  25. 05 DataFrames III/082 The .query() Method.mp4 19.92MB
  26. 14 Options and Settings/171 Changing pandas Options with Attributes and Dot Syntax.mp4 19.83MB
  27. 10 Working with Dates and Times/134 Create Range of Dates with the pd.date_range() Method Part 1.mp4 19.68MB
  28. 10 Working with Dates and Times/141 Timestamp Object Attributes.mp4 19.57MB
  29. 04 DataFrames II/066 The .duplicated() Method.mp4 19.56MB
  30. 10 Working with Dates and Times/146 Timedeltas in a Dataset.mp4 19.55MB
  31. 03 DataFrames I/052 Drop Rows with Null Values.mp4 19.20MB
  32. 12 Input and Output/162 Import Excel File into pandas.mp4 19.13MB
  33. 13 Visualization/165 The .plot() Method.mp4 18.97MB
  34. 01 Installation and Setup/009 Windows - Install Anaconda Distribution.mp4 18.58MB
  35. 05 DataFrames III/073 The Catch-All .ix Method.mp4 18.56MB
  36. 10 Working with Dates and Times/135 Create Range of Dates with the pd.date_range() Method Part 2.mp4 18.54MB
  37. 10 Working with Dates and Times/140 Selecting Rows from a DataFrame with a DateTimeIndex.mp4 18.34MB
  38. 02 Series/027 Parameters and Arguments.mp4 18.28MB
  39. 03 DataFrames I/050 Broadcasting Operations.mp4 18.23MB
  40. 02 Series/023 Create A Series Object from a Python List.mp4 18.12MB
  41. 09 Merging Joining and Concatenating/121 Inner Joins Part 1.mp4 17.92MB
  42. 12 Input and Output/163 Export Excel File.mp4 17.80MB
  43. 09 Merging Joining and Concatenating/122 Inner Joins Part 2.mp4 17.75MB
  44. 01 Installation and Setup/011 Windows - Unpack Course Materials The Startdown and Shutdown Process.mp4 17.72MB
  45. 03 DataFrames I/044 Intro to DataFrames I Module.mp4 17.63MB
  46. 04 DataFrames II/067 The .drop_duplicates() Method.mp4 17.55MB
  47. 06 Working with Text Data/092 Split Strings by Characters with .str.split() Method.mp4 17.52MB
  48. 07 MultiIndex/100 Extract Rows from a MultiIndex DataFrame.mp4 17.34MB
  49. 07 MultiIndex/109 The pd.melt() Method.mp4 17.26MB
  50. 03 DataFrames I/049 Add New Column to DataFrame.mp4 17.23MB
  51. 04 DataFrames II/065 The .between() Method.mp4 16.76MB
  52. 04 DataFrames II/062 Filter with More than One Condition (OR - ).mp4 16.75MB
  53. 10 Working with Dates and Times/130 Review of Pythons datetime Module.mp4 16.73MB
  54. 07 MultiIndex/097 The .get_level_values() Method.mp4 16.54MB
  55. 10 Working with Dates and Times/136 Create Range of Dates with the pd.date_range() Method Part 3.mp4 16.33MB
  56. 11 Panels/148 The Axes of a Panel Object.mp4 16.31MB
  57. 05 DataFrames III/078 Delete Rows or Columns from a DataFrame.mp4 16.21MB
  58. 06 Working with Text Data/088 The .str.replace() Method.mp4 16.00MB
  59. 11 Panels/155 Transpose a Panel with the .transpose() Method.mp4 15.73MB
  60. 03 DataFrames I/045 Shared Methods and Attributes between Series and DataFrames.mp4 15.62MB
  61. 06 Working with Text Data/089 Filtering with String Methods.mp4 15.54MB
  62. 05 DataFrames III/085 The .copy() Method.mp4 15.44MB
  63. 10 Working with Dates and Times/145 The pandas Timedelta Object.mp4 15.41MB
  64. 06 Working with Text Data/094 The expand and n Parameters of the .str.split() Method.mp4 15.30MB
  65. 06 Working with Text Data/087 Common String Methods - lower upper title and len.mp4 14.88MB
  66. 03 DataFrames I/047 Select One Column from a DataFrame.mp4 14.87MB
  67. 07 MultiIndex/105 The .unstack() Method Part 2.mp4 14.53MB
  68. 08 GroupBy/110 Intro to the Groupby Module.mp4 14.29MB
  69. 14 Options and Settings/172 Changing pandas Options with Methods.mp4 13.92MB
  70. 06 Working with Text Data/086 Intro to the Working with Text Data Module.mp4 13.86MB
  71. 02 Series/037 Extract Series Values by Index Label.mp4 13.73MB
  72. 10 Working with Dates and Times/137 The .dt Accessor.mp4 13.68MB
  73. 11 Panels/147 Intro to the Module Fetch Panel Dataset from Google Finance.mp4 13.67MB
  74. 11 Panels/154 The .minor_xs() Method.mp4 13.62MB
  75. 05 DataFrames III/081 Filtering with the .where() Method.mp4 13.56MB
  76. 11 Panels/151 Extracting with the .loc .iloc and .ix Methods.mp4 13.53MB
  77. 05 DataFrames III/084 The .apply() Method with Row Values.mp4 13.41MB
  78. 05 DataFrames III/077 Rename Index Labels or Columns in a DataFrame.mp4 13.39MB
  79. 05 DataFrames III/072 Retrieve Rows by Index Position with .iloc.mp4 13.30MB
  80. 03 DataFrames I/055 Sort a DataFrame with the .sort_values() Method Part I.mp4 13.27MB
  81. 09 Merging Joining and Concatenating/119 The pd.concat() Method Part 2.mp4 13.20MB
  82. 05 DataFrames III/070 The .set_index() and .reset_index() Methods.mp4 13.19MB
  83. 07 MultiIndex/103 The .stack() Method.mp4 13.19MB
  84. 08 GroupBy/115 The .agg() Method.mp4 13.18MB
  85. 03 DataFrames I/058 Rank Values with the .rank() Method.mp4 13.16MB
  86. 03 DataFrames I/046 Differences between Shared Methods.mp4 13.10MB
  87. 02 Series/043 The .map() Method.mp4 13.09MB
  88. 02 Series/025 Intro to Attributes.mp4 12.85MB
  89. 10 Working with Dates and Times/131 The pandas Timestamp Object.mp4 12.80MB
  90. 09 Merging Joining and Concatenating/118 The pd.concat() Method Part 1.mp4 12.56MB
  91. 04 DataFrames II/063 The .isin() Method.mp4 12.53MB
  92. 05 DataFrames III/074 Second Arguments to .loc .iloc and .ix Methods.mp4 12.36MB
  93. 02 Series/042 The .apply() Method.mp4 12.31MB
  94. 13 Visualization/167 Bar Graphs.mp4 12.27MB
  95. 04 DataFrames II/064 The .isnull() and .notnull() Methods.mp4 12.26MB
  96. 13 Visualization/169 Histograms.mp4 12.16MB
  97. 11 Panels/153 The .major_xs() Method.mp4 12.11MB
  98. 07 MultiIndex/107 The .pivot() Method.mp4 12.11MB
  99. 13 Visualization/166 Modifying Aesthetics with Templates.mp4 12.08MB
  100. 05 DataFrames III/080 The .nsmallest() and .nlargest() Methods.mp4 12.07MB
  101. 01 Installation and Setup/017 Python Crash Course Part 1 - Data Types and Variables.mp4 11.98MB
  102. 07 MultiIndex/106 The .unstack() Method Part 3.mp4 11.96MB
  103. 06 Working with Text Data/093 More Practice with Splits.mp4 11.92MB
  104. 07 MultiIndex/101 The .transpose() Method and MultiIndex on Column Level.mp4 11.92MB
  105. 05 DataFrames III/083 A Review of the .apply() Method on Single Columns.mp4 11.75MB
  106. 01 Installation and Setup/013 Cell Types and Cell Modes.mp4 11.67MB
  107. 02 Series/031 More Series Attributes.mp4 11.66MB
  108. 01 Installation and Setup/016 Import Libraries into Jupyter Notebook.mp4 11.53MB
  109. 09 Merging Joining and Concatenating/117 Intro to the Merging Joining and Concatenating Module.mp4 11.46MB
  110. 12 Input and Output/160 Export DataFrame to CSV File with the .to_csv() Method.mp4 11.36MB
  111. 12 Input and Output/159 Quick Object Conversions.mp4 11.35MB
  112. 06 Working with Text Data/091 String Methods on Index and Columns.mp4 11.12MB
  113. 02 Series/032 The .sort_values() Method.mp4 10.83MB
  114. 03 DataFrames I/053 Fill in Null Values with the .fillna() Method.mp4 10.75MB
  115. 11 Panels/149 Panel Attributes.mp4 10.49MB
  116. 08 GroupBy/114 Grouping by Multiple Columns.mp4 10.34MB
  117. 07 MultiIndex/099 The sort_index() Method.mp4 10.25MB
  118. 02 Series/039 Math Methods on Series Objects.mp4 10.16MB
  119. 08 GroupBy/112 Retrieve A Group with the .get_group() Method.mp4 10.14MB
  120. 01 Installation and Setup/021 Python Crash Course Part 5 - Functions.mp4 10.12MB
  121. 03 DataFrames I/048 Select Two or More Columns from a DataFrame.mp4 9.93MB
  122. 13 Visualization/168 Pie Charts.mp4 9.87MB
  123. 02 Series/030 Python Built-In Functions.mp4 9.87MB
  124. 11 Panels/156 The .swapaxes() Method.mp4 9.71MB
  125. 10 Working with Dates and Times/132 The pandas DateTimeIndex Object.mp4 9.65MB
  126. 02 Series/038 The .get() Method on a Series.mp4 9.56MB
  127. 06 Working with Text Data/090 More String Methods - strip lstrip and rstrip.mp4 9.54MB
  128. 02 Series/033 The inplace Parameter.mp4 9.39MB
  129. 05 DataFrames III/079 Create Random Sample with the .sample() Method.mp4 9.33MB
  130. 01 Installation and Setup/012 Intro to the Jupyter Notebook Interface.mp4 9.31MB
  131. 04 DataFrames II/061 Filter with More than One Condition (AND - ).mp4 9.29MB
  132. 01 Installation and Setup/008 Windows - Download the Anaconda Distribution.mp4 9.27MB
  133. 10 Working with Dates and Times/142 The .truncate() Method.mp4 9.04MB
  134. 01 Installation and Setup/018 Python Crash Course Part 2 - Lists.mp4 9.00MB
  135. 02 Series/036 Extract Series Values by Index Position.mp4 8.90MB
  136. 05 DataFrames III/075 Set New Values for a Specific Cell or Row.mp4 8.89MB
  137. 01 Installation and Setup/005 Mac OS - Access the Terminal.mp4 8.84MB
  138. 03 DataFrames I/056 Sort a DataFrame with the .sort_values() Method Part II.mp4 8.83MB
  139. 11 Panels/152 Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 8.68MB
  140. 02 Series/034 The .sort_index() Method.mp4 8.57MB
  141. 07 MultiIndex/104 The .unstack() Method Part 1.mp4 8.48MB
  142. 03 DataFrames I/051 A Review of the .value_counts() Method.mp4 8.42MB
  143. 07 MultiIndex/095 Intro to the MultiIndex Module.mp4 8.32MB
  144. 11 Panels/150 Use Bracket Notation to Extract a DataFrame from a Panel.mp4 8.25MB
  145. 01 Installation and Setup/014 Code Cell Execution.mp4 8.22MB
  146. 04 DataFrames II/068 The .unique() and .nunique() Methods.mp4 8.19MB
  147. 01 Installation and Setup/003 Mac OS - Download the Anaconda Distribution.mp4 7.92MB
  148. 02 Series/026 Intro to Methods.mp4 7.91MB
  149. 01 Installation and Setup/020 Python Crash Course Part 4 - Operators.mp4 7.87MB
  150. 05 DataFrames III/069 Intro to the DataFrames III Module Import Dataset.mp4 7.67MB
  151. 12 Input and Output/158 Feed pd.read_csv() Method a URL Argument.mp4 7.60MB
  152. 13 Visualization/164 Intro to Visualization Module.mp4 7.31MB
  153. 02 Series/035 Pythons in Keyword.mp4 7.30MB
  154. 01 Installation and Setup/019 Python Crash Course Part 3 - Dictionaries.mp4 7.20MB
  155. 09 Merging Joining and Concatenating/128 The pd.merge() Method.mp4 6.84MB
  156. 02 Series/041 The .value_counts() Method.mp4 6.73MB
  157. 03 DataFrames I/057 Sort DataFrame with the .sort_index() Method.mp4 6.56MB
  158. 02 Series/029 The .head() and .tail() Methods.mp4 6.47MB
  159. 10 Working with Dates and Times/129 Intro to the Working with Dates and Times Module.mp4 6.32MB
  160. 09 Merging Joining and Concatenating/127 The .join() Method.mp4 6.27MB
  161. 01 Installation and Setup/015 Popular Keyboard Shortcuts.mp4 6.26MB
  162. 14 Options and Settings/173 The precision Option.mp4 6.10MB
  163. 07 MultiIndex/098 The .set_names() Method.mp4 6.09MB
  164. 12 Input and Output/161 Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 5.98MB
  165. 10 Working with Dates and Times/138 Install pandas-datareader Library.mp4 5.90MB
  166. 02 Series/040 The .idxmax() and .idxmin() Methods.mp4 5.75MB
  167. 02 Series/024 Create A Series Object from a Python Dictionary.mp4 5.19MB
  168. 07 MultiIndex/102 The .swaplevel() Method.mp4 5.18MB
  169. 09 Merging Joining and Concatenating/120 The .append() Method on a DataFrame.mp4 5.13MB
  170. 02 Series/022 Create Jupyter Notebook for the Series Module.mp4 3.80MB
  171. 14 Options and Settings/170 Introduction to the Options and Settings Module.mp4 3.32MB
  172. 15 Conclusion/174 Conclusion.mp4 2.95MB
  173. 12 Input and Output/157 Intro to the Input and Output Module.mp4 2.80MB
  174. 01 Installation and Setup/001 pandas.zip 684.75KB
  175. 01 Installation and Setup/002 CompletedCourseFiles.zip 363.34KB
  176. 10 Working with Dates and Times/144 More Fun with pd.DateOffset Objects-es.srt 22.13KB
  177. 10 Working with Dates and Times/144 More Fun with pd.DateOffset Objects-en.srt 21.82KB
  178. 10 Working with Dates and Times/144 More Fun with pd.DateOffset Objects-pt.srt 21.60KB
  179. 01 Installation and Setup/001 Introduction to the Course-en.srt 20.26KB
  180. 04 DataFrames II/060 Filter a DataFrame Based on A Condition-es.srt 19.63KB
  181. 10 Working with Dates and Times/143 pd.DateOffset Objects-es.srt 19.53KB
  182. 04 DataFrames II/060 Filter a DataFrame Based on A Condition-pt.srt 19.34KB
  183. 04 DataFrames II/060 Filter a DataFrame Based on A Condition-en.srt 19.31KB
  184. 10 Working with Dates and Times/144 More Fun with pd.DateOffset Objects-tr.srt 19.16KB
  185. 09 Merging Joining and Concatenating/123 Outer Joins-es.srt 19.10KB
  186. 10 Working with Dates and Times/143 pd.DateOffset Objects-en.srt 19.07KB
  187. 01 Installation and Setup/010 Windows - Access the Command Prompt and Update Anaconda Libraries-es.srt 18.92KB
  188. 01 Installation and Setup/006 Mac OS - Update Anaconda Libraries-es.srt 18.69KB
  189. 01 Installation and Setup/010 Windows - Access the Command Prompt and Update Anaconda Libraries-en.srt 18.62KB
  190. 09 Merging Joining and Concatenating/123 Outer Joins-pt.srt 18.57KB
  191. 01 Installation and Setup/007 Mac OS - Unpack Course Materials The Startdown and Shutdown Process-en.srt 18.51KB
  192. 01 Installation and Setup/010 Windows - Access the Command Prompt and Update Anaconda Libraries-pt.srt 18.51KB
  193. 04 DataFrames II/059 This Modules Dataset Memory Optimization-es.srt 18.41KB
  194. 01 Installation and Setup/006 Mac OS - Update Anaconda Libraries-en.srt 18.40KB
  195. 01 Installation and Setup/007 Mac OS - Unpack Course Materials The Startdown and Shutdown Process-es.srt 18.39KB
  196. 09 Merging Joining and Concatenating/123 Outer Joins-en.srt 18.38KB
  197. 01 Installation and Setup/006 Mac OS - Update Anaconda Libraries-pt.srt 18.33KB
  198. 01 Installation and Setup/007 Mac OS - Unpack Course Materials The Startdown and Shutdown Process-pt.srt 18.24KB
  199. 04 DataFrames II/059 This Modules Dataset Memory Optimization-en.srt 18.00KB
  200. 04 DataFrames II/059 This Modules Dataset Memory Optimization-pt.srt 18.00KB
  201. 02 Series/023 Create A Series Object from a Python List-es.srt 17.81KB
  202. 02 Series/028 Import Series with the .read_csv() Method-es.srt 17.70KB
  203. 10 Working with Dates and Times/143 pd.DateOffset Objects-pt.srt 17.64KB
  204. 10 Working with Dates and Times/139 Import Financial Data Set with pandas_datareader Library-es.srt 17.60KB
  205. 10 Working with Dates and Times/134 Create Range of Dates with the pd.date_range() Method Part 1-es.srt 17.46KB
  206. 10 Working with Dates and Times/134 Create Range of Dates with the pd.date_range() Method Part 1-en.srt 17.44KB
  207. 04 DataFrames II/060 Filter a DataFrame Based on A Condition-tr.srt 17.40KB
  208. 10 Working with Dates and Times/143 pd.DateOffset Objects-tr.srt 17.34KB
  209. 02 Series/023 Create A Series Object from a Python List-pt.srt 17.28KB
  210. 10 Working with Dates and Times/134 Create Range of Dates with the pd.date_range() Method Part 1-pt.srt 17.28KB
  211. 09 Merging Joining and Concatenating/126 Merging by Indexes with the left_index and right_index Parameters-es.srt 17.17KB
  212. 02 Series/023 Create A Series Object from a Python List-en.srt 17.16KB
  213. 07 MultiIndex/108 The .pivot_table() Method-en.srt 17.09KB
  214. 10 Working with Dates and Times/133 The pd.to_datetime() Method-es.srt 17.09KB
  215. 10 Working with Dates and Times/139 Import Financial Data Set with pandas_datareader Library-pt.srt 17.05KB
  216. 02 Series/028 Import Series with the .read_csv() Method-pt.srt 16.95KB
  217. 09 Merging Joining and Concatenating/123 Outer Joins-tr.srt 16.93KB
  218. 02 Series/028 Import Series with the .read_csv() Method-en.srt 16.82KB
  219. 10 Working with Dates and Times/139 Import Financial Data Set with pandas_datareader Library-en.srt 16.76KB
  220. 01 Installation and Setup/006 Mac OS - Update Anaconda Libraries-tr.srt 16.71KB
  221. 01 Installation and Setup/010 Windows - Access the Command Prompt and Update Anaconda Libraries-tr.srt 16.70KB
  222. 10 Working with Dates and Times/133 The pd.to_datetime() Method-pt.srt 16.69KB
  223. 01 Installation and Setup/007 Mac OS - Unpack Course Materials The Startdown and Shutdown Process-tr.srt 16.62KB
  224. 10 Working with Dates and Times/133 The pd.to_datetime() Method-en.srt 16.56KB
  225. 09 Merging Joining and Concatenating/126 Merging by Indexes with the left_index and right_index Parameters-pt.srt 16.50KB
  226. 04 DataFrames II/059 This Modules Dataset Memory Optimization-tr.srt 16.35KB
  227. 03 DataFrames I/054 The .astype() Method-en.srt 16.03KB
  228. 12 Input and Output/162 Import Excel File into pandas-es.srt 15.99KB
  229. 09 Merging Joining and Concatenating/126 Merging by Indexes with the left_index and right_index Parameters-en.srt 15.98KB
  230. 02 Series/023 Create A Series Object from a Python List-tr.srt 15.79KB
  231. 02 Series/027 Parameters and Arguments-es.srt 15.74KB
  232. 01 Installation and Setup/011 Windows - Unpack Course Materials The Startdown and Shutdown Process-es.srt 15.68KB
  233. 01 Installation and Setup/011 Windows - Unpack Course Materials The Startdown and Shutdown Process-en.srt 15.66KB
  234. 05 DataFrames III/076 Set Multiple Values in DataFrame-es.srt 15.58KB
  235. 12 Input and Output/163 Export Excel File-es.srt 15.53KB
  236. 12 Input and Output/162 Import Excel File into pandas-pt.srt 15.48KB
  237. 02 Series/028 Import Series with the .read_csv() Method-tr.srt 15.48KB
  238. 01 Installation and Setup/011 Windows - Unpack Course Materials The Startdown and Shutdown Process-pt.srt 15.43KB
  239. 10 Working with Dates and Times/139 Import Financial Data Set with pandas_datareader Library-tr.srt 15.43KB
  240. 10 Working with Dates and Times/134 Create Range of Dates with the pd.date_range() Method Part 1-tr.srt 15.35KB
  241. 12 Input and Output/163 Export Excel File-pt.srt 15.34KB
  242. 05 DataFrames III/076 Set Multiple Values in DataFrame-pt.srt 15.33KB
  243. 13 Visualization/165 The .plot() Method-en.srt 15.32KB
  244. 05 DataFrames III/071 Retrieve Rows by Index Label with .loc-es.srt 15.31KB
  245. 12 Input and Output/162 Import Excel File into pandas-en.srt 15.28KB
  246. 10 Working with Dates and Times/146 Timedeltas in a Dataset-es.srt 15.26KB
  247. 09 Merging Joining and Concatenating/126 Merging by Indexes with the left_index and right_index Parameters-tr.srt 15.25KB
  248. 10 Working with Dates and Times/133 The pd.to_datetime() Method-tr.srt 15.24KB
  249. 05 DataFrames III/076 Set Multiple Values in DataFrame-en.srt 15.20KB
  250. 02 Series/027 Parameters and Arguments-en.srt 15.14KB
  251. 12 Input and Output/163 Export Excel File-en.srt 15.10KB
  252. 09 Merging Joining and Concatenating/121 Inner Joins Part 1-en.srt 15.08KB
  253. 02 Series/027 Parameters and Arguments-pt.srt 15.08KB
  254. 10 Working with Dates and Times/146 Timedeltas in a Dataset-pt.srt 15.07KB
  255. 05 DataFrames III/071 Retrieve Rows by Index Label with .loc-pt.srt 14.95KB
  256. 05 DataFrames III/071 Retrieve Rows by Index Label with .loc-en.srt 14.94KB
  257. 10 Working with Dates and Times/146 Timedeltas in a Dataset-en.srt 14.92KB
  258. 09 Merging Joining and Concatenating/125 The left_on and right_on Parameters-es.srt 14.55KB
  259. 09 Merging Joining and Concatenating/122 Inner Joins Part 2-es.srt 14.48KB
  260. 08 GroupBy/111 First Operations with groupby Object-en.srt 14.48KB
  261. 05 DataFrames III/073 The Catch-All .ix Method-es.srt 14.32KB
  262. 04 DataFrames II/066 The .duplicated() Method-en.srt 14.23KB
  263. 03 DataFrames I/050 Broadcasting Operations-es.srt 14.17KB
  264. 04 DataFrames II/066 The .duplicated() Method-es.srt 14.17KB
  265. 12 Input and Output/162 Import Excel File into pandas-tr.srt 14.13KB
  266. 05 DataFrames III/073 The Catch-All .ix Method-pt.srt 14.03KB
  267. 09 Merging Joining and Concatenating/125 The left_on and right_on Parameters-pt.srt 14.03KB
  268. 01 Installation and Setup/011 Windows - Unpack Course Materials The Startdown and Shutdown Process-tr.srt 14.02KB
  269. 03 DataFrames I/050 Broadcasting Operations-en.srt 14.00KB
  270. 05 DataFrames III/073 The Catch-All .ix Method-en.srt 14.00KB
  271. 04 DataFrames II/066 The .duplicated() Method-pt.srt 13.98KB
  272. 09 Merging Joining and Concatenating/124 Left Joins-en.srt 13.95KB
  273. 12 Input and Output/163 Export Excel File-tr.srt 13.93KB
  274. 09 Merging Joining and Concatenating/122 Inner Joins Part 2-pt.srt 13.87KB
  275. 05 DataFrames III/076 Set Multiple Values in DataFrame-tr.srt 13.84KB
  276. 09 Merging Joining and Concatenating/122 Inner Joins Part 2-en.srt 13.82KB
  277. 03 DataFrames I/050 Broadcasting Operations-pt.srt 13.79KB
  278. 09 Merging Joining and Concatenating/125 The left_on and right_on Parameters-en.srt 13.78KB
  279. 08 GroupBy/113 Methods on the Groupby Object and DataFrame Columns-es.srt 13.74KB
  280. 07 MultiIndex/096 Create a MultiIndex with the set_index() Method-es.srt 13.72KB
  281. 02 Series/027 Parameters and Arguments-tr.srt 13.68KB
  282. 10 Working with Dates and Times/130 Review of Pythons datetime Module-en.srt 13.66KB
  283. 10 Working with Dates and Times/146 Timedeltas in a Dataset-tr.srt 13.65KB
  284. 07 MultiIndex/097 The .get_level_values() Method-es.srt 13.53KB
  285. 08 GroupBy/116 Iterating through Groups-es.srt 13.50KB
  286. 07 MultiIndex/096 Create a MultiIndex with the set_index() Method-pt.srt 13.50KB
  287. 07 MultiIndex/096 Create a MultiIndex with the set_index() Method-en.srt 13.46KB
  288. 05 DataFrames III/082 The .query() Method-es.srt 13.45KB
  289. 05 DataFrames III/071 Retrieve Rows by Index Label with .loc-tr.srt 13.36KB
  290. 10 Working with Dates and Times/135 Create Range of Dates with the pd.date_range() Method Part 2-es.srt 13.31KB
  291. 07 MultiIndex/097 The .get_level_values() Method-pt.srt 13.30KB
  292. 08 GroupBy/116 Iterating through Groups-pt.srt 13.28KB
  293. 06 Working with Text Data/092 Split Strings by Characters with .str.split() Method-es.srt 13.23KB
  294. 10 Working with Dates and Times/145 The pandas Timedelta Object-es.srt 13.21KB
  295. 07 MultiIndex/097 The .get_level_values() Method-en.srt 13.21KB
  296. 08 GroupBy/116 Iterating through Groups-en.srt 13.19KB
  297. 08 GroupBy/113 Methods on the Groupby Object and DataFrame Columns-en.srt 13.18KB
  298. 08 GroupBy/113 Methods on the Groupby Object and DataFrame Columns-pt.srt 13.18KB
  299. 04 DataFrames II/067 The .drop_duplicates() Method-es.srt 13.15KB
  300. 05 DataFrames III/082 The .query() Method-pt.srt 13.13KB
  301. 06 Working with Text Data/092 Split Strings by Characters with .str.split() Method-en.srt 13.08KB
  302. 04 DataFrames II/062 Filter with More than One Condition (OR - )-es.srt 13.06KB
  303. 10 Working with Dates and Times/135 Create Range of Dates with the pd.date_range() Method Part 2-en.srt 13.06KB
  304. 05 DataFrames III/082 The .query() Method-en.srt 13.04KB
  305. 10 Working with Dates and Times/135 Create Range of Dates with the pd.date_range() Method Part 2-pt.srt 12.99KB
  306. 04 DataFrames II/067 The .drop_duplicates() Method-en.srt 12.91KB
  307. 04 DataFrames II/067 The .drop_duplicates() Method-pt.srt 12.91KB
  308. 06 Working with Text Data/092 Split Strings by Characters with .str.split() Method-pt.srt 12.90KB
  309. 05 DataFrames III/073 The Catch-All .ix Method-tr.srt 12.89KB
  310. 01 Installation and Setup/016 Import Libraries into Jupyter Notebook-es.srt 12.89KB
  311. 03 DataFrames I/047 Select One Column from a DataFrame-es.srt 12.86KB
  312. 06 Working with Text Data/088 The .str.replace() Method-es.srt 12.85KB
  313. 10 Working with Dates and Times/145 The pandas Timedelta Object-pt.srt 12.84KB
  314. 08 GroupBy/110 Intro to the Groupby Module-es.srt 12.82KB
  315. 04 DataFrames II/062 Filter with More than One Condition (OR - )-pt.srt 12.80KB
  316. 11 Panels/148 The Axes of a Panel Object-pt.srt 12.72KB
  317. 11 Panels/148 The Axes of a Panel Object-es.srt 12.72KB
  318. 04 DataFrames II/066 The .duplicated() Method-tr.srt 12.71KB
  319. 09 Merging Joining and Concatenating/125 The left_on and right_on Parameters-tr.srt 12.69KB
  320. 11 Panels/155 Transpose a Panel with the .transpose() Method-es.srt 12.63KB
  321. 10 Working with Dates and Times/145 The pandas Timedelta Object-en.srt 12.62KB
  322. 08 GroupBy/110 Intro to the Groupby Module-en.srt 12.62KB
  323. 01 Installation and Setup/016 Import Libraries into Jupyter Notebook-en.srt 12.60KB
  324. 01 Installation and Setup/016 Import Libraries into Jupyter Notebook-pt.srt 12.60KB
  325. 04 DataFrames II/062 Filter with More than One Condition (OR - )-en.srt 12.57KB
  326. 08 GroupBy/110 Intro to the Groupby Module-pt.srt 12.55KB
  327. 06 Working with Text Data/088 The .str.replace() Method-pt.srt 12.55KB
  328. 09 Merging Joining and Concatenating/122 Inner Joins Part 2-tr.srt 12.54KB
  329. 11 Panels/148 The Axes of a Panel Object-en.srt 12.53KB
  330. 03 DataFrames I/049 Add New Column to DataFrame-es.srt 12.52KB
  331. 03 DataFrames I/044 Intro to DataFrames I Module-es.srt 12.52KB
  332. 11 Panels/147 Intro to the Module Fetch Panel Dataset from Google Finance-es.srt 12.51KB
  333. 06 Working with Text Data/088 The .str.replace() Method-en.srt 12.50KB
  334. 03 DataFrames I/050 Broadcasting Operations-tr.srt 12.50KB
  335. 03 DataFrames I/047 Select One Column from a DataFrame-pt.srt 12.46KB
  336. 14 Options and Settings/171 Changing pandas Options with Attributes and Dot Syntax-es.srt 12.46KB
  337. 03 DataFrames I/047 Select One Column from a DataFrame-en.srt 12.44KB
  338. 11 Panels/147 Intro to the Module Fetch Panel Dataset from Google Finance-pt.srt 12.43KB
  339. 07 MultiIndex/100 Extract Rows from a MultiIndex DataFrame-es.srt 12.41KB
  340. 11 Panels/155 Transpose a Panel with the .transpose() Method-pt.srt 12.34KB
  341. 01 Installation and Setup/013 Cell Types and Cell Modes-es.srt 12.33KB
  342. 03 DataFrames I/045 Shared Methods and Attributes between Series and DataFrames-es.srt 12.33KB
  343. 07 MultiIndex/100 Extract Rows from a MultiIndex DataFrame-pt.srt 12.31KB
  344. 11 Panels/147 Intro to the Module Fetch Panel Dataset from Google Finance-en.srt 12.30KB
  345. 03 DataFrames I/044 Intro to DataFrames I Module-en.srt 12.30KB
  346. 03 DataFrames I/044 Intro to DataFrames I Module-pt.srt 12.28KB
  347. 14 Options and Settings/171 Changing pandas Options with Attributes and Dot Syntax-pt.srt 12.20KB
  348. 11 Panels/155 Transpose a Panel with the .transpose() Method-en.srt 12.20KB
  349. 03 DataFrames I/049 Add New Column to DataFrame-en.srt 12.18KB
  350. 07 MultiIndex/100 Extract Rows from a MultiIndex DataFrame-en.srt 12.15KB
  351. 14 Options and Settings/171 Changing pandas Options with Attributes and Dot Syntax-en.srt 12.15KB
  352. 07 MultiIndex/097 The .get_level_values() Method-tr.srt 12.12KB
  353. 03 DataFrames I/045 Shared Methods and Attributes between Series and DataFrames-pt.srt 12.09KB
  354. 07 MultiIndex/096 Create a MultiIndex with the set_index() Method-tr.srt 12.05KB
  355. 01 Installation and Setup/013 Cell Types and Cell Modes-pt.srt 12.04KB
  356. 08 GroupBy/116 Iterating through Groups-tr.srt 12.03KB
  357. 03 DataFrames I/045 Shared Methods and Attributes between Series and DataFrames-en.srt 12.02KB
  358. 03 DataFrames I/049 Add New Column to DataFrame-pt.srt 12.01KB
  359. 01 Installation and Setup/017 Python Crash Course Part 1 - Data Types and Variables-es.srt 12.00KB
  360. 05 DataFrames III/082 The .query() Method-tr.srt 11.94KB
  361. 01 Installation and Setup/013 Cell Types and Cell Modes-en.srt 11.89KB
  362. 08 GroupBy/113 Methods on the Groupby Object and DataFrame Columns-tr.srt 11.76KB
  363. 07 MultiIndex/107 The .pivot() Method-es.srt 11.76KB
  364. 01 Installation and Setup/017 Python Crash Course Part 1 - Data Types and Variables-pt.srt 11.74KB
  365. 02 Series/025 Intro to Attributes-es.srt 11.70KB
  366. 04 DataFrames II/067 The .drop_duplicates() Method-tr.srt 11.69KB
  367. 01 Installation and Setup/017 Python Crash Course Part 1 - Data Types and Variables-en.srt 11.66KB
  368. 10 Working with Dates and Times/145 The pandas Timedelta Object-tr.srt 11.61KB
  369. 02 Series/025 Intro to Attributes-en.srt 11.60KB
  370. 04 DataFrames II/062 Filter with More than One Condition (OR - )-tr.srt 11.59KB
  371. 10 Working with Dates and Times/140 Selecting Rows from a DataFrame with a DateTimeIndex-en.srt 11.56KB
  372. 10 Working with Dates and Times/135 Create Range of Dates with the pd.date_range() Method Part 2-tr.srt 11.52KB
  373. 08 GroupBy/110 Intro to the Groupby Module-tr.srt 11.51KB
  374. 06 Working with Text Data/092 Split Strings by Characters with .str.split() Method-tr.srt 11.45KB
  375. 01 Installation and Setup/016 Import Libraries into Jupyter Notebook-tr.srt 11.44KB
  376. 05 DataFrames III/078 Delete Rows or Columns from a DataFrame-es.srt 11.42KB
  377. 07 MultiIndex/107 The .pivot() Method-pt.srt 11.39KB
  378. 11 Panels/155 Transpose a Panel with the .transpose() Method-tr.srt 11.36KB
  379. 07 MultiIndex/107 The .pivot() Method-en.srt 11.32KB
  380. 10 Working with Dates and Times/137 The .dt Accessor-es.srt 11.30KB
  381. 02 Series/025 Intro to Attributes-pt.srt 11.28KB
  382. 11 Panels/148 The Axes of a Panel Object-tr.srt 11.26KB
  383. 03 DataFrames I/044 Intro to DataFrames I Module-tr.srt 11.25KB
  384. 03 DataFrames I/047 Select One Column from a DataFrame-tr.srt 11.24KB
  385. 11 Panels/147 Intro to the Module Fetch Panel Dataset from Google Finance-tr.srt 11.20KB
  386. 02 Series/037 Extract Series Values by Index Label-es.srt 11.17KB
  387. 06 Working with Text Data/088 The .str.replace() Method-tr.srt 11.17KB
  388. 10 Working with Dates and Times/136 Create Range of Dates with the pd.date_range() Method Part 3-es.srt 11.11KB
  389. 10 Working with Dates and Times/131 The pandas Timestamp Object-es.srt 11.10KB
  390. 05 DataFrames III/078 Delete Rows or Columns from a DataFrame-pt.srt 11.10KB
  391. 13 Visualization/167 Bar Graphs-es.srt 11.08KB
  392. 02 Series/037 Extract Series Values by Index Label-en.srt 11.07KB
  393. 06 Working with Text Data/087 Common String Methods - lower upper title and len-es.srt 11.06KB
  394. 14 Options and Settings/171 Changing pandas Options with Attributes and Dot Syntax-tr.srt 11.06KB
  395. 05 DataFrames III/078 Delete Rows or Columns from a DataFrame-en.srt 11.06KB
  396. 06 Working with Text Data/094 The expand and n Parameters of the .str.split() Method-es.srt 11.05KB
  397. 10 Working with Dates and Times/141 Timestamp Object Attributes-en.srt 11.03KB
  398. 10 Working with Dates and Times/131 The pandas Timestamp Object-pt.srt 10.99KB
  399. 10 Working with Dates and Times/136 Create Range of Dates with the pd.date_range() Method Part 3-pt.srt 10.97KB
  400. 10 Working with Dates and Times/137 The .dt Accessor-pt.srt 10.96KB
  401. 10 Working with Dates and Times/137 The .dt Accessor-en.srt 10.95KB
  402. 06 Working with Text Data/087 Common String Methods - lower upper title and len-pt.srt 10.93KB
  403. 06 Working with Text Data/087 Common String Methods - lower upper title and len-en.srt 10.92KB
  404. 10 Working with Dates and Times/136 Create Range of Dates with the pd.date_range() Method Part 3-en.srt 10.92KB
  405. 07 MultiIndex/100 Extract Rows from a MultiIndex DataFrame-tr.srt 10.91KB
  406. 01 Installation and Setup/013 Cell Types and Cell Modes-tr.srt 10.91KB
  407. 03 DataFrames I/049 Add New Column to DataFrame-tr.srt 10.85KB
  408. 02 Series/037 Extract Series Values by Index Label-pt.srt 10.79KB
  409. 11 Panels/151 Extracting with the .loc .iloc and .ix Methods-es.srt 10.78KB
  410. 14 Options and Settings/172 Changing pandas Options with Methods-es.srt 10.77KB
  411. 03 DataFrames I/045 Shared Methods and Attributes between Series and DataFrames-tr.srt 10.72KB
  412. 13 Visualization/167 Bar Graphs-en.srt 10.70KB
  413. 06 Working with Text Data/094 The expand and n Parameters of the .str.split() Method-pt.srt 10.69KB
  414. 13 Visualization/167 Bar Graphs-pt.srt 10.69KB
  415. 06 Working with Text Data/094 The expand and n Parameters of the .str.split() Method-en.srt 10.64KB
  416. 05 DataFrames III/077 Rename Index Labels or Columns in a DataFrame-es.srt 10.59KB
  417. 01 Installation and Setup/017 Python Crash Course Part 1 - Data Types and Variables-tr.srt 10.57KB
  418. 10 Working with Dates and Times/131 The pandas Timestamp Object-en.srt 10.57KB
  419. 05 DataFrames III/085 The .copy() Method-es.srt 10.57KB
  420. 04 DataFrames II/065 The .between() Method-en.srt 10.56KB
  421. 02 Series/042 The .apply() Method-es.srt 10.52KB
  422. 11 Panels/151 Extracting with the .loc .iloc and .ix Methods-pt.srt 10.51KB
  423. 06 Working with Text Data/089 Filtering with String Methods-es.srt 10.51KB
  424. 11 Panels/151 Extracting with the .loc .iloc and .ix Methods-en.srt 10.48KB
  425. 09 Merging Joining and Concatenating/119 The pd.concat() Method Part 2-es.srt 10.45KB
  426. 14 Options and Settings/172 Changing pandas Options with Methods-pt.srt 10.45KB
  427. 02 Series/025 Intro to Attributes-tr.srt 10.31KB
  428. 07 MultiIndex/107 The .pivot() Method-tr.srt 10.30KB
  429. 03 DataFrames I/046 Differences between Shared Methods-es.srt 10.30KB
  430. 14 Options and Settings/172 Changing pandas Options with Methods-en.srt 10.29KB
  431. 05 DataFrames III/077 Rename Index Labels or Columns in a DataFrame-pt.srt 10.28KB
  432. 11 Panels/154 The .minor_xs() Method-es.srt 10.26KB
  433. 09 Merging Joining and Concatenating/119 The pd.concat() Method Part 2-pt.srt 10.25KB
  434. 05 DataFrames III/085 The .copy() Method-pt.srt 10.24KB
  435. 06 Working with Text Data/089 Filtering with String Methods-en.srt 10.22KB
  436. 06 Working with Text Data/089 Filtering with String Methods-pt.srt 10.21KB
  437. 05 DataFrames III/085 The .copy() Method-en.srt 10.19KB
  438. 05 DataFrames III/084 The .apply() Method with Row Values-es.srt 10.19KB
  439. 03 DataFrames I/052 Drop Rows with Null Values-es.srt 10.17KB
  440. 01 Installation and Setup/021 Python Crash Course Part 5 - Functions-es.srt 10.17KB
  441. 02 Series/042 The .apply() Method-pt.srt 10.16KB
  442. 05 DataFrames III/078 Delete Rows or Columns from a DataFrame-tr.srt 10.13KB
  443. 03 DataFrames I/046 Differences between Shared Methods-en.srt 10.12KB
  444. 07 MultiIndex/103 The .stack() Method-es.srt 10.12KB
  445. 09 Merging Joining and Concatenating/119 The pd.concat() Method Part 2-en.srt 10.12KB
  446. 13 Visualization/167 Bar Graphs-tr.srt 10.11KB
  447. 04 DataFrames II/063 The .isin() Method-es.srt 10.09KB
  448. 02 Series/042 The .apply() Method-en.srt 10.09KB
  449. 05 DataFrames III/077 Rename Index Labels or Columns in a DataFrame-en.srt 10.04KB
  450. 12 Input and Output/160 Export DataFrame to CSV File with the .to_csv() Method-es.srt 10.04KB
  451. 05 DataFrames III/084 The .apply() Method with Row Values-en.srt 10.02KB
  452. 13 Visualization/169 Histograms-es.srt 10.00KB
  453. 02 Series/037 Extract Series Values by Index Label-tr.srt 9.99KB
  454. 01 Installation and Setup/021 Python Crash Course Part 5 - Functions-en.srt 9.96KB
  455. 10 Working with Dates and Times/136 Create Range of Dates with the pd.date_range() Method Part 3-tr.srt 9.96KB
  456. 05 DataFrames III/084 The .apply() Method with Row Values-pt.srt 9.95KB
  457. 03 DataFrames I/046 Differences between Shared Methods-pt.srt 9.94KB
  458. 07 MultiIndex/103 The .stack() Method-en.srt 9.92KB
  459. 10 Working with Dates and Times/131 The pandas Timestamp Object-tr.srt 9.89KB
  460. 10 Working with Dates and Times/137 The .dt Accessor-tr.srt 9.89KB
  461. 02 Series/032 The .sort_values() Method-es.srt 9.87KB
  462. 04 DataFrames II/063 The .isin() Method-en.srt 9.86KB
  463. 11 Panels/154 The .minor_xs() Method-en.srt 9.86KB
  464. 01 Installation and Setup/021 Python Crash Course Part 5 - Functions-pt.srt 9.85KB
  465. 02 Series/043 The .map() Method-es.srt 9.85KB
  466. 13 Visualization/169 Histograms-en.srt 9.84KB
  467. 13 Visualization/169 Histograms-pt.srt 9.83KB
  468. 06 Working with Text Data/087 Common String Methods - lower upper title and len-tr.srt 9.83KB
  469. 11 Panels/154 The .minor_xs() Method-pt.srt 9.83KB
  470. 02 Series/043 The .map() Method-en.srt 9.80KB
  471. 04 DataFrames II/063 The .isin() Method-pt.srt 9.80KB
  472. 03 DataFrames I/052 Drop Rows with Null Values-en.srt 9.77KB
  473. 07 MultiIndex/103 The .stack() Method-pt.srt 9.77KB
  474. 12 Input and Output/160 Export DataFrame to CSV File with the .to_csv() Method-pt.srt 9.75KB
  475. 03 DataFrames I/052 Drop Rows with Null Values-pt.srt 9.72KB
  476. 07 MultiIndex/105 The .unstack() Method Part 2-es.srt 9.68KB
  477. 12 Input and Output/160 Export DataFrame to CSV File with the .to_csv() Method-en.srt 9.68KB
  478. 11 Panels/151 Extracting with the .loc .iloc and .ix Methods-tr.srt 9.68KB
  479. 06 Working with Text Data/086 Intro to the Working with Text Data Module-en.srt 9.68KB
  480. 07 MultiIndex/105 The .unstack() Method Part 2-en.srt 9.66KB
  481. 09 Merging Joining and Concatenating/117 Intro to the Merging Joining and Concatenating Module-es.srt 9.57KB
  482. 02 Series/043 The .map() Method-pt.srt 9.55KB
  483. 02 Series/032 The .sort_values() Method-en.srt 9.51KB
  484. 02 Series/032 The .sort_values() Method-pt.srt 9.49KB
  485. 14 Options and Settings/172 Changing pandas Options with Methods-tr.srt 9.45KB
  486. 06 Working with Text Data/094 The expand and n Parameters of the .str.split() Method-tr.srt 9.44KB
  487. 07 MultiIndex/109 The pd.melt() Method-es.srt 9.43KB
  488. 08 GroupBy/115 The .agg() Method-es.srt 9.43KB
  489. 07 MultiIndex/109 The pd.melt() Method-en.srt 9.40KB
  490. 07 MultiIndex/105 The .unstack() Method Part 2-pt.srt 9.37KB
  491. 11 Panels/153 The .major_xs() Method-es.srt 9.36KB
  492. 05 DataFrames III/074 Second Arguments to .loc .iloc and .ix Methods-es.srt 9.35KB
  493. 09 Merging Joining and Concatenating/119 The pd.concat() Method Part 2-tr.srt 9.35KB
  494. 01 Installation and Setup/004 Mac OS - Install Anaconda Distribution-es.srt 9.35KB
  495. 02 Series/031 More Series Attributes-es.srt 9.34KB
  496. 02 Series/042 The .apply() Method-tr.srt 9.33KB
  497. 05 DataFrames III/077 Rename Index Labels or Columns in a DataFrame-tr.srt 9.27KB
  498. 08 GroupBy/115 The .agg() Method-pt.srt 9.26KB
  499. 05 DataFrames III/085 The .copy() Method-tr.srt 9.25KB
  500. 07 MultiIndex/109 The pd.melt() Method-pt.srt 9.23KB
  501. 08 GroupBy/115 The .agg() Method-en.srt 9.23KB
  502. 05 DataFrames III/072 Retrieve Rows by Index Position with .iloc-es.srt 9.23KB
  503. 03 DataFrames I/046 Differences between Shared Methods-tr.srt 9.22KB
  504. 06 Working with Text Data/089 Filtering with String Methods-tr.srt 9.22KB
  505. 09 Merging Joining and Concatenating/117 Intro to the Merging Joining and Concatenating Module-en.srt 9.21KB
  506. 03 DataFrames I/058 Rank Values with the .rank() Method-es.srt 9.19KB
  507. 02 Series/031 More Series Attributes-en.srt 9.19KB
  508. 09 Merging Joining and Concatenating/118 The pd.concat() Method Part 1-es.srt 9.18KB
  509. 01 Installation and Setup/004 Mac OS - Install Anaconda Distribution-pt.srt 9.16KB
  510. 09 Merging Joining and Concatenating/117 Intro to the Merging Joining and Concatenating Module-pt.srt 9.15KB
  511. 01 Installation and Setup/004 Mac OS - Install Anaconda Distribution-en.srt 9.12KB
  512. 06 Working with Text Data/093 More Practice with Splits-es.srt 9.08KB
  513. 05 DataFrames III/074 Second Arguments to .loc .iloc and .ix Methods-pt.srt 9.07KB
  514. 02 Series/031 More Series Attributes-pt.srt 9.00KB
  515. 05 DataFrames III/084 The .apply() Method with Row Values-tr.srt 9.00KB
  516. 11 Panels/154 The .minor_xs() Method-tr.srt 9.00KB
  517. 09 Merging Joining and Concatenating/118 The pd.concat() Method Part 1-pt.srt 8.96KB
  518. 09 Merging Joining and Concatenating/118 The pd.concat() Method Part 1-en.srt 8.96KB
  519. 05 DataFrames III/074 Second Arguments to .loc .iloc and .ix Methods-en.srt 8.96KB
  520. 01 Installation and Setup/021 Python Crash Course Part 5 - Functions-tr.srt 8.95KB
  521. 03 DataFrames I/058 Rank Values with the .rank() Method-pt.srt 8.95KB
  522. 05 DataFrames III/072 Retrieve Rows by Index Position with .iloc-en.srt 8.94KB
  523. 11 Panels/153 The .major_xs() Method-pt.srt 8.94KB
  524. 07 MultiIndex/103 The .stack() Method-tr.srt 8.92KB
  525. 03 DataFrames I/048 Select Two or More Columns from a DataFrame-es.srt 8.92KB
  526. 04 DataFrames II/063 The .isin() Method-tr.srt 8.92KB
  527. 03 DataFrames I/052 Drop Rows with Null Values-tr.srt 8.90KB
  528. 01 Installation and Setup/012 Intro to the Jupyter Notebook Interface-es.srt 8.89KB
  529. 13 Visualization/169 Histograms-tr.srt 8.88KB
  530. 05 DataFrames III/072 Retrieve Rows by Index Position with .iloc-pt.srt 8.83KB
  531. 03 DataFrames I/058 Rank Values with the .rank() Method-en.srt 8.81KB
  532. 06 Working with Text Data/093 More Practice with Splits-en.srt 8.79KB
  533. 12 Input and Output/160 Export DataFrame to CSV File with the .to_csv() Method-tr.srt 8.79KB
  534. 13 Visualization/168 Pie Charts-es.srt 8.78KB
  535. 01 Installation and Setup/012 Intro to the Jupyter Notebook Interface-pt.srt 8.78KB
  536. 06 Working with Text Data/093 More Practice with Splits-pt.srt 8.77KB
  537. 11 Panels/153 The .major_xs() Method-en.srt 8.75KB
  538. 03 DataFrames I/048 Select Two or More Columns from a DataFrame-pt.srt 8.75KB
  539. 01 Installation and Setup/012 Intro to the Jupyter Notebook Interface-en.srt 8.74KB
  540. 03 DataFrames I/055 Sort a DataFrame with the .sort_values() Method Part I-es.srt 8.73KB
  541. 02 Series/043 The .map() Method-tr.srt 8.72KB
  542. 02 Series/033 The inplace Parameter-es.srt 8.71KB
  543. 13 Visualization/166 Modifying Aesthetics with Templates-en.srt 8.68KB
  544. 02 Series/032 The .sort_values() Method-tr.srt 8.65KB
  545. 03 DataFrames I/055 Sort a DataFrame with the .sort_values() Method Part I-pt.srt 8.64KB
  546. 03 DataFrames I/048 Select Two or More Columns from a DataFrame-en.srt 8.63KB
  547. 07 MultiIndex/101 The .transpose() Method and MultiIndex on Column Level-es.srt 8.56KB
  548. 07 MultiIndex/105 The .unstack() Method Part 2-tr.srt 8.56KB
  549. 04 DataFrames II/064 The .isnull() and .notnull() Methods-es.srt 8.54KB
  550. 07 MultiIndex/099 The sort_index() Method-es.srt 8.53KB
  551. 08 GroupBy/115 The .agg() Method-tr.srt 8.46KB
  552. 13 Visualization/168 Pie Charts-en.srt 8.43KB
  553. 03 DataFrames I/055 Sort a DataFrame with the .sort_values() Method Part I-en.srt 8.42KB
  554. 02 Series/033 The inplace Parameter-pt.srt 8.42KB
  555. 02 Series/033 The inplace Parameter-en.srt 8.41KB
  556. 07 MultiIndex/099 The sort_index() Method-pt.srt 8.39KB
  557. 04 DataFrames II/064 The .isnull() and .notnull() Methods-en.srt 8.39KB
  558. 05 DataFrames III/083 A Review of the .apply() Method on Single Columns-es.srt 8.39KB
  559. 13 Visualization/168 Pie Charts-pt.srt 8.37KB
  560. 04 DataFrames II/064 The .isnull() and .notnull() Methods-pt.srt 8.37KB
  561. 01 Installation and Setup/018 Python Crash Course Part 2 - Lists-es.srt 8.36KB
  562. 02 Series/031 More Series Attributes-tr.srt 8.35KB
  563. 09 Merging Joining and Concatenating/118 The pd.concat() Method Part 1-tr.srt 8.34KB
  564. 02 Series/039 Math Methods on Series Objects-es.srt 8.34KB
  565. 09 Merging Joining and Concatenating/117 Intro to the Merging Joining and Concatenating Module-tr.srt 8.33KB
  566. 07 MultiIndex/101 The .transpose() Method and MultiIndex on Column Level-pt.srt 8.29KB
  567. 07 MultiIndex/109 The pd.melt() Method-tr.srt 8.28KB
  568. 07 MultiIndex/101 The .transpose() Method and MultiIndex on Column Level-en.srt 8.28KB
  569. 05 DataFrames III/083 A Review of the .apply() Method on Single Columns-en.srt 8.28KB
  570. 07 MultiIndex/099 The sort_index() Method-en.srt 8.28KB
  571. 01 Installation and Setup/004 Mac OS - Install Anaconda Distribution-tr.srt 8.22KB
  572. 05 DataFrames III/072 Retrieve Rows by Index Position with .iloc-tr.srt 8.22KB
  573. 01 Installation and Setup/014 Code Cell Execution-es.srt 8.22KB
  574. 07 MultiIndex/106 The .unstack() Method Part 3-en.srt 8.16KB
  575. 11 Panels/149 Panel Attributes-es.srt 8.14KB
  576. 05 DataFrames III/074 Second Arguments to .loc .iloc and .ix Methods-tr.srt 8.14KB
  577. 06 Working with Text Data/091 String Methods on Index and Columns-es.srt 8.12KB
  578. 01 Installation and Setup/012 Intro to the Jupyter Notebook Interface-tr.srt 8.11KB
  579. 05 DataFrames III/083 A Review of the .apply() Method on Single Columns-pt.srt 8.10KB
  580. 01 Installation and Setup/018 Python Crash Course Part 2 - Lists-pt.srt 8.10KB
  581. 02 Series/039 Math Methods on Series Objects-en.srt 8.10KB
  582. 01 Installation and Setup/014 Code Cell Execution-en.srt 8.09KB
  583. 05 DataFrames III/080 The .nsmallest() and .nlargest() Methods-es.srt 8.08KB
  584. 07 MultiIndex/106 The .unstack() Method Part 3-es.srt 8.07KB
  585. 12 Input and Output/159 Quick Object Conversions-es.srt 8.07KB
  586. 11 Panels/153 The .major_xs() Method-tr.srt 8.07KB
  587. 07 MultiIndex/106 The .unstack() Method Part 3-pt.srt 8.04KB
  588. 01 Installation and Setup/014 Code Cell Execution-pt.srt 8.03KB
  589. 05 DataFrames III/070 The .set_index() and .reset_index() Methods-es.srt 8.03KB
  590. 01 Installation and Setup/018 Python Crash Course Part 2 - Lists-en.srt 8.02KB
  591. 13 Visualization/168 Pie Charts-tr.srt 8.01KB
  592. 02 Series/039 Math Methods on Series Objects-pt.srt 8.01KB
  593. 06 Working with Text Data/091 String Methods on Index and Columns-pt.srt 8.01KB
  594. 12 Input and Output/159 Quick Object Conversions-en.srt 7.96KB
  595. 12 Input and Output/159 Quick Object Conversions-pt.srt 7.91KB
  596. 05 DataFrames III/080 The .nsmallest() and .nlargest() Methods-pt.srt 7.86KB
  597. 11 Panels/149 Panel Attributes-pt.srt 7.85KB
  598. 06 Working with Text Data/091 String Methods on Index and Columns-en.srt 7.83KB
  599. 05 DataFrames III/080 The .nsmallest() and .nlargest() Methods-en.srt 7.81KB
  600. 04 DataFrames II/064 The .isnull() and .notnull() Methods-tr.srt 7.81KB
  601. 11 Panels/149 Panel Attributes-en.srt 7.81KB
  602. 03 DataFrames I/048 Select Two or More Columns from a DataFrame-tr.srt 7.80KB
  603. 06 Working with Text Data/093 More Practice with Splits-tr.srt 7.78KB
  604. 05 DataFrames III/070 The .set_index() and .reset_index() Methods-pt.srt 7.77KB
  605. 03 DataFrames I/055 Sort a DataFrame with the .sort_values() Method Part I-tr.srt 7.75KB
  606. 02 Series/030 Python Built-In Functions-es.srt 7.72KB
  607. 13 Visualization/164 Intro to Visualization Module-es.srt 7.72KB
  608. 02 Series/026 Intro to Methods-es.srt 7.71KB
  609. 07 MultiIndex/101 The .transpose() Method and MultiIndex on Column Level-tr.srt 7.66KB
  610. 10 Working with Dates and Times/132 The pandas DateTimeIndex Object-es.srt 7.64KB
  611. 05 DataFrames III/081 Filtering with the .where() Method-es.srt 7.62KB
  612. 03 DataFrames I/058 Rank Values with the .rank() Method-tr.srt 7.62KB
  613. 02 Series/030 Python Built-In Functions-en.srt 7.61KB
  614. 02 Series/026 Intro to Methods-en.srt 7.61KB
  615. 10 Working with Dates and Times/132 The pandas DateTimeIndex Object-pt.srt 7.60KB
  616. 02 Series/033 The inplace Parameter-tr.srt 7.60KB
  617. 07 MultiIndex/095 Intro to the MultiIndex Module-es.srt 7.58KB
  618. 03 DataFrames I/053 Fill in Null Values with the .fillna() Method-es.srt 7.58KB
  619. 05 DataFrames III/070 The .set_index() and .reset_index() Methods-en.srt 7.54KB
  620. 05 DataFrames III/081 Filtering with the .where() Method-pt.srt 7.53KB
  621. 05 DataFrames III/081 Filtering with the .where() Method-en.srt 7.53KB
  622. 10 Working with Dates and Times/132 The pandas DateTimeIndex Object-en.srt 7.52KB
  623. 02 Series/034 The .sort_index() Method-es.srt 7.46KB
  624. 02 Series/030 Python Built-In Functions-pt.srt 7.44KB
  625. 02 Series/026 Intro to Methods-pt.srt 7.43KB
  626. 07 MultiIndex/099 The sort_index() Method-tr.srt 7.42KB
  627. 13 Visualization/164 Intro to Visualization Module-pt.srt 7.41KB
  628. 02 Series/038 The .get() Method on a Series-es.srt 7.40KB
  629. 03 DataFrames I/053 Fill in Null Values with the .fillna() Method-pt.srt 7.37KB
  630. 05 DataFrames III/079 Create Random Sample with the .sample() Method-es.srt 7.36KB
  631. 01 Installation and Setup/018 Python Crash Course Part 2 - Lists-tr.srt 7.36KB
  632. 02 Series/038 The .get() Method on a Series-en.srt 7.34KB
  633. 01 Installation and Setup/014 Code Cell Execution-tr.srt 7.33KB
  634. 01 Installation and Setup/020 Python Crash Course Part 4 - Operators-en.srt 7.31KB
  635. 13 Visualization/164 Intro to Visualization Module-en.srt 7.30KB
  636. 01 Installation and Setup/020 Python Crash Course Part 4 - Operators-es.srt 7.30KB
  637. 07 MultiIndex/106 The .unstack() Method Part 3-tr.srt 7.30KB
  638. 07 MultiIndex/095 Intro to the MultiIndex Module-pt.srt 7.29KB
  639. 03 DataFrames I/053 Fill in Null Values with the .fillna() Method-en.srt 7.27KB
  640. 05 DataFrames III/083 A Review of the .apply() Method on Single Columns-tr.srt 7.26KB
  641. 07 MultiIndex/095 Intro to the MultiIndex Module-en.srt 7.26KB
  642. 02 Series/034 The .sort_index() Method-pt.srt 7.25KB
  643. 02 Series/038 The .get() Method on a Series-pt.srt 7.25KB
  644. 05 DataFrames III/079 Create Random Sample with the .sample() Method-pt.srt 7.24KB
  645. 02 Series/039 Math Methods on Series Objects-tr.srt 7.21KB
  646. 01 Installation and Setup/020 Python Crash Course Part 4 - Operators-pt.srt 7.20KB
  647. 12 Input and Output/159 Quick Object Conversions-tr.srt 7.19KB
  648. 08 GroupBy/114 Grouping by Multiple Columns-es.srt 7.18KB
  649. 05 DataFrames III/079 Create Random Sample with the .sample() Method-en.srt 7.16KB
  650. 02 Series/034 The .sort_index() Method-en.srt 7.13KB
  651. 06 Working with Text Data/091 String Methods on Index and Columns-tr.srt 7.05KB
  652. 11 Panels/149 Panel Attributes-tr.srt 7.01KB
  653. 04 DataFrames II/061 Filter with More than One Condition (AND - )-es.srt 7.01KB
  654. 08 GroupBy/114 Grouping by Multiple Columns-en.srt 6.95KB
  655. 08 GroupBy/114 Grouping by Multiple Columns-pt.srt 6.95KB
  656. 11 Panels/150 Use Bracket Notation to Extract a DataFrame from a Panel-es.srt 6.93KB
  657. 10 Working with Dates and Times/132 The pandas DateTimeIndex Object-tr.srt 6.92KB
  658. 04 DataFrames II/061 Filter with More than One Condition (AND - )-en.srt 6.90KB
  659. 11 Panels/156 The .swapaxes() Method-es.srt 6.90KB
  660. 05 DataFrames III/070 The .set_index() and .reset_index() Methods-tr.srt 6.87KB
  661. 05 DataFrames III/080 The .nsmallest() and .nlargest() Methods-tr.srt 6.87KB
  662. 06 Working with Text Data/090 More String Methods - strip lstrip and rstrip-es.srt 6.86KB
  663. 02 Series/026 Intro to Methods-tr.srt 6.84KB
  664. 13 Visualization/164 Intro to Visualization Module-tr.srt 6.83KB
  665. 05 DataFrames III/081 Filtering with the .where() Method-tr.srt 6.82KB
  666. 01 Installation and Setup/019 Python Crash Course Part 3 - Dictionaries-es.srt 6.79KB
  667. 04 DataFrames II/061 Filter with More than One Condition (AND - )-pt.srt 6.77KB
  668. 02 Series/030 Python Built-In Functions-tr.srt 6.75KB
  669. 07 MultiIndex/095 Intro to the MultiIndex Module-tr.srt 6.71KB
  670. 04 DataFrames II/068 The .unique() and .nunique() Methods-en.srt 6.70KB
  671. 11 Panels/156 The .swapaxes() Method-pt.srt 6.68KB
  672. 04 DataFrames II/068 The .unique() and .nunique() Methods-es.srt 6.66KB
  673. 01 Installation and Setup/019 Python Crash Course Part 3 - Dictionaries-pt.srt 6.66KB
  674. 01 Installation and Setup/020 Python Crash Course Part 4 - Operators-tr.srt 6.63KB
  675. 03 DataFrames I/056 Sort a DataFrame with the .sort_values() Method Part II-es.srt 6.63KB
  676. 02 Series/038 The .get() Method on a Series-tr.srt 6.61KB
  677. 11 Panels/152 Convert Panel to a MultiIndex DataFrame (and Vice Versa)-es.srt 6.60KB
  678. 11 Panels/150 Use Bracket Notation to Extract a DataFrame from a Panel-pt.srt 6.59KB
  679. 12 Input and Output/158 Feed pd.read_csv() Method a URL Argument-es.srt 6.58KB
  680. 04 DataFrames II/068 The .unique() and .nunique() Methods-pt.srt 6.58KB
  681. 01 Installation and Setup/009 Windows - Install Anaconda Distribution-es.srt 6.58KB
  682. 11 Panels/156 The .swapaxes() Method-en.srt 6.55KB
  683. 02 Series/034 The .sort_index() Method-tr.srt 6.55KB
  684. 01 Installation and Setup/019 Python Crash Course Part 3 - Dictionaries-en.srt 6.54KB
  685. 11 Panels/150 Use Bracket Notation to Extract a DataFrame from a Panel-en.srt 6.52KB
  686. 01 Installation and Setup/008 Windows - Download the Anaconda Distribution-es.srt 6.51KB
  687. 03 DataFrames I/053 Fill in Null Values with the .fillna() Method-tr.srt 6.51KB
  688. 06 Working with Text Data/090 More String Methods - strip lstrip and rstrip-pt.srt 6.51KB
  689. 03 DataFrames I/056 Sort a DataFrame with the .sort_values() Method Part II-pt.srt 6.51KB
  690. 06 Working with Text Data/090 More String Methods - strip lstrip and rstrip-en.srt 6.49KB
  691. 03 DataFrames I/056 Sort a DataFrame with the .sort_values() Method Part II-en.srt 6.46KB
  692. 01 Installation and Setup/009 Windows - Install Anaconda Distribution-en.srt 6.46KB
  693. 10 Working with Dates and Times/129 Intro to the Working with Dates and Times Module-en.srt 6.44KB
  694. 05 DataFrames III/075 Set New Values for a Specific Cell or Row-es.srt 6.43KB
  695. 05 DataFrames III/079 Create Random Sample with the .sample() Method-tr.srt 6.42KB
  696. 01 Installation and Setup/009 Windows - Install Anaconda Distribution-pt.srt 6.40KB
  697. 01 Installation and Setup/008 Windows - Download the Anaconda Distribution-pt.srt 6.39KB
  698. 04 DataFrames II/061 Filter with More than One Condition (AND - )-tr.srt 6.37KB
  699. 12 Input and Output/158 Feed pd.read_csv() Method a URL Argument-pt.srt 6.37KB
  700. 01 Installation and Setup/008 Windows - Download the Anaconda Distribution-en.srt 6.34KB
  701. 11 Panels/152 Convert Panel to a MultiIndex DataFrame (and Vice Versa)-pt.srt 6.33KB
  702. 12 Input and Output/158 Feed pd.read_csv() Method a URL Argument-en.srt 6.26KB
  703. 05 DataFrames III/075 Set New Values for a Specific Cell or Row-pt.srt 6.24KB
  704. 02 Series/036 Extract Series Values by Index Position-es.srt 6.23KB
  705. 11 Panels/152 Convert Panel to a MultiIndex DataFrame (and Vice Versa)-en.srt 6.23KB
  706. 08 GroupBy/114 Grouping by Multiple Columns-tr.srt 6.21KB
  707. 02 Series/036 Extract Series Values by Index Position-en.srt 6.19KB
  708. 03 DataFrames I/051 A Review of the .value_counts() Method-es.srt 6.18KB
  709. 04 DataFrames II/068 The .unique() and .nunique() Methods-tr.srt 6.12KB
  710. 05 DataFrames III/075 Set New Values for a Specific Cell or Row-en.srt 6.12KB
  711. 11 Panels/156 The .swapaxes() Method-tr.srt 6.12KB
  712. 03 DataFrames I/051 A Review of the .value_counts() Method-en.srt 6.11KB
  713. 01 Installation and Setup/019 Python Crash Course Part 3 - Dictionaries-tr.srt 6.10KB
  714. 03 DataFrames I/051 A Review of the .value_counts() Method-pt.srt 6.03KB
  715. 02 Series/036 Extract Series Values by Index Position-pt.srt 6.00KB
  716. 06 Working with Text Data/090 More String Methods - strip lstrip and rstrip-tr.srt 5.97KB
  717. 07 MultiIndex/104 The .unstack() Method Part 1-en.srt 5.95KB
  718. 07 MultiIndex/104 The .unstack() Method Part 1-es.srt 5.95KB
  719. 02 Series/035 Pythons in Keyword-es.srt 5.95KB
  720. 11 Panels/150 Use Bracket Notation to Extract a DataFrame from a Panel-tr.srt 5.92KB
  721. 03 DataFrames I/056 Sort a DataFrame with the .sort_values() Method Part II-tr.srt 5.92KB
  722. 07 MultiIndex/104 The .unstack() Method Part 1-pt.srt 5.89KB
  723. 02 Series/035 Pythons in Keyword-pt.srt 5.87KB
  724. 12 Input and Output/158 Feed pd.read_csv() Method a URL Argument-tr.srt 5.85KB
  725. 02 Series/035 Pythons in Keyword-en.srt 5.83KB
  726. 02 Series/029 The .head() and .tail() Methods-es.srt 5.80KB
  727. 08 GroupBy/112 Retrieve A Group with the .get_group() Method-es.srt 5.79KB
  728. 02 Series/036 Extract Series Values by Index Position-tr.srt 5.76KB
  729. 05 DataFrames III/069 Intro to the DataFrames III Module Import Dataset-es.srt 5.73KB
  730. 11 Panels/152 Convert Panel to a MultiIndex DataFrame (and Vice Versa)-tr.srt 5.71KB
  731. 01 Installation and Setup/009 Windows - Install Anaconda Distribution-tr.srt 5.70KB
  732. 01 Installation and Setup/008 Windows - Download the Anaconda Distribution-tr.srt 5.65KB
  733. 05 DataFrames III/075 Set New Values for a Specific Cell or Row-tr.srt 5.64KB
  734. 08 GroupBy/112 Retrieve A Group with the .get_group() Method-pt.srt 5.63KB
  735. 08 GroupBy/112 Retrieve A Group with the .get_group() Method-en.srt 5.62KB
  736. 03 DataFrames I/051 A Review of the .value_counts() Method-tr.srt 5.61KB
  737. 02 Series/029 The .head() and .tail() Methods-pt.srt 5.59KB
  738. 02 Series/029 The .head() and .tail() Methods-en.srt 5.58KB
  739. 02 Series/041 The .value_counts() Method-es.srt 5.58KB
  740. 05 DataFrames III/069 Intro to the DataFrames III Module Import Dataset-pt.srt 5.53KB
  741. 02 Series/035 Pythons in Keyword-tr.srt 5.50KB
  742. 01 Installation and Setup/003 Mac OS - Download the Anaconda Distribution-es.srt 5.50KB
  743. 05 DataFrames III/069 Intro to the DataFrames III Module Import Dataset-en.srt 5.48KB
  744. 01 Installation and Setup/015 Popular Keyboard Shortcuts-es.srt 5.48KB
  745. 02 Series/041 The .value_counts() Method-pt.srt 5.43KB
  746. 02 Series/041 The .value_counts() Method-en.srt 5.42KB
  747. 01 Installation and Setup/015 Popular Keyboard Shortcuts-pt.srt 5.42KB
  748. 01 Installation and Setup/003 Mac OS - Download the Anaconda Distribution-pt.srt 5.34KB
  749. 01 Installation and Setup/015 Popular Keyboard Shortcuts-en.srt 5.31KB
  750. 01 Installation and Setup/003 Mac OS - Download the Anaconda Distribution-en.srt 5.30KB
  751. 09 Merging Joining and Concatenating/128 The pd.merge() Method-es.srt 5.24KB
  752. 14 Options and Settings/173 The precision Option-pt.srt 5.19KB
  753. 14 Options and Settings/173 The precision Option-en.srt 5.18KB
  754. 14 Options and Settings/173 The precision Option-es.srt 5.17KB
  755. 07 MultiIndex/104 The .unstack() Method Part 1-tr.srt 5.16KB
  756. 09 Merging Joining and Concatenating/128 The pd.merge() Method-pt.srt 5.12KB
  757. 08 GroupBy/112 Retrieve A Group with the .get_group() Method-tr.srt 5.09KB
  758. 07 MultiIndex/098 The .set_names() Method-es.srt 5.07KB
  759. 02 Series/029 The .head() and .tail() Methods-tr.srt 4.99KB
  760. 07 MultiIndex/098 The .set_names() Method-en.srt 4.96KB
  761. 02 Series/041 The .value_counts() Method-tr.srt 4.96KB
  762. 01 Installation and Setup/015 Popular Keyboard Shortcuts-tr.srt 4.94KB
  763. 09 Merging Joining and Concatenating/127 The .join() Method-es.srt 4.91KB
  764. 05 DataFrames III/069 Intro to the DataFrames III Module Import Dataset-tr.srt 4.88KB
  765. 09 Merging Joining and Concatenating/128 The pd.merge() Method-en.srt 4.87KB
  766. 07 MultiIndex/098 The .set_names() Method-pt.srt 4.83KB
  767. 09 Merging Joining and Concatenating/127 The .join() Method-pt.srt 4.79KB
  768. 01 Installation and Setup/003 Mac OS - Download the Anaconda Distribution-tr.srt 4.78KB
  769. 14 Options and Settings/173 The precision Option-tr.srt 4.72KB
  770. 02 Series/024 Create A Series Object from a Python Dictionary-es.srt 4.71KB
  771. 09 Merging Joining and Concatenating/127 The .join() Method-en.srt 4.69KB
  772. 07 MultiIndex/098 The .set_names() Method-tr.srt 4.66KB
  773. 02 Series/040 The .idxmax() and .idxmin() Methods-es.srt 4.58KB
  774. 02 Series/040 The .idxmax() and .idxmin() Methods-en.srt 4.56KB
  775. 09 Merging Joining and Concatenating/128 The pd.merge() Method-tr.srt 4.53KB
  776. 02 Series/024 Create A Series Object from a Python Dictionary-pt.srt 4.51KB
  777. 02 Series/024 Create A Series Object from a Python Dictionary-en.srt 4.50KB
  778. 03 DataFrames I/057 Sort DataFrame with the .sort_index() Method-es.srt 4.43KB
  779. 02 Series/040 The .idxmax() and .idxmin() Methods-pt.srt 4.41KB
  780. 10 Working with Dates and Times/142 The .truncate() Method-es.srt 4.38KB
  781. 10 Working with Dates and Times/142 The .truncate() Method-pt.srt 4.38KB
  782. 03 DataFrames I/057 Sort DataFrame with the .sort_index() Method-pt.srt 4.36KB
  783. 09 Merging Joining and Concatenating/127 The .join() Method-tr.srt 4.31KB
  784. 10 Working with Dates and Times/142 The .truncate() Method-en.srt 4.28KB
  785. 03 DataFrames I/057 Sort DataFrame with the .sort_index() Method-en.srt 4.22KB
  786. 02 Series/024 Create A Series Object from a Python Dictionary-tr.srt 4.18KB
  787. 02 Series/040 The .idxmax() and .idxmin() Methods-tr.srt 4.10KB
  788. 10 Working with Dates and Times/142 The .truncate() Method-tr.srt 3.95KB
  789. 12 Input and Output/161 Install xlrd and openpyxl Libraries to Read and Write Excel Files-es.srt 3.86KB
  790. 03 DataFrames I/057 Sort DataFrame with the .sort_index() Method-tr.srt 3.82KB
  791. 07 MultiIndex/102 The .swaplevel() Method-es.srt 3.78KB
  792. 12 Input and Output/161 Install xlrd and openpyxl Libraries to Read and Write Excel Files-en.srt 3.78KB
  793. 12 Input and Output/161 Install xlrd and openpyxl Libraries to Read and Write Excel Files-pt.srt 3.76KB
  794. 10 Working with Dates and Times/138 Install pandas-datareader Library-es.srt 3.71KB
  795. 07 MultiIndex/102 The .swaplevel() Method-pt.srt 3.68KB
  796. 10 Working with Dates and Times/138 Install pandas-datareader Library-en.srt 3.65KB
  797. 10 Working with Dates and Times/138 Install pandas-datareader Library-pt.srt 3.64KB
  798. 07 MultiIndex/102 The .swaplevel() Method-en.srt 3.58KB
  799. 09 Merging Joining and Concatenating/120 The .append() Method on a DataFrame-es.srt 3.54KB
  800. 12 Input and Output/161 Install xlrd and openpyxl Libraries to Read and Write Excel Files-tr.srt 3.52KB
  801. 02 Series/022 Create Jupyter Notebook for the Series Module-es.srt 3.48KB
  802. 09 Merging Joining and Concatenating/120 The .append() Method on a DataFrame-pt.srt 3.46KB
  803. 02 Series/022 Create Jupyter Notebook for the Series Module-en.srt 3.36KB
  804. 07 MultiIndex/102 The .swaplevel() Method-tr.srt 3.36KB
  805. 02 Series/022 Create Jupyter Notebook for the Series Module-pt.srt 3.35KB
  806. 09 Merging Joining and Concatenating/120 The .append() Method on a DataFrame-en.srt 3.35KB
  807. 10 Working with Dates and Times/138 Install pandas-datareader Library-tr.srt 3.32KB
  808. 09 Merging Joining and Concatenating/120 The .append() Method on a DataFrame-tr.srt 3.04KB
  809. 02 Series/022 Create Jupyter Notebook for the Series Module-tr.srt 3.00KB
  810. 01 Installation and Setup/005 Mac OS - Access the Terminal-es.srt 3.00KB
  811. 01 Installation and Setup/005 Mac OS - Access the Terminal-en.srt 2.95KB
  812. 14 Options and Settings/170 Introduction to the Options and Settings Module-es.srt 2.95KB
  813. 01 Installation and Setup/005 Mac OS - Access the Terminal-pt.srt 2.92KB
  814. 15 Conclusion/174 Conclusion-en.srt 2.87KB
  815. 14 Options and Settings/170 Introduction to the Options and Settings Module-en.srt 2.84KB
  816. 15 Conclusion/174 Conclusion-es.srt 2.81KB
  817. 14 Options and Settings/170 Introduction to the Options and Settings Module-pt.srt 2.81KB
  818. 15 Conclusion/174 Conclusion-pt.srt 2.77KB
  819. 12 Input and Output/157 Intro to the Input and Output Module-es.srt 2.69KB
  820. 01 Installation and Setup/005 Mac OS - Access the Terminal-tr.srt 2.65KB
  821. 12 Input and Output/157 Intro to the Input and Output Module-en.srt 2.63KB
  822. 14 Options and Settings/170 Introduction to the Options and Settings Module-tr.srt 2.61KB
  823. 12 Input and Output/157 Intro to the Input and Output Module-pt.srt 2.54KB
  824. 15 Conclusion/174 Conclusion-tr.srt 2.53KB
  825. 12 Input and Output/157 Intro to the Input and Output Module-tr.srt 2.37KB
  826. 01 Installation and Setup/002 Completed Course Files.html 1.61KB
  827. 05 DataFrames III/070 reset-index-Documentation.txt 90B
  828. 03 DataFrames I/055 Official-pandas-Documentation.txt 89B
  829. 03 DataFrames I/056 Official-pandas-Documentation.txt 89B
  830. 02 Series/041 Official-Documentation-for-the-Series.value-counts-Method.txt 88B
  831. 03 DataFrames I/057 Official-pandas-Documentation.txt 88B
  832. 05 DataFrames III/070 set-index-Documentation.txt 88B
  833. 02 Series/032 Official-pandas-Documentation.txt 86B
  834. 02 Series/034 Official-pandas-Documentation.txt 85B
  835. 03 DataFrames I/053 Official-pandas-Documentation.txt 84B
  836. 03 DataFrames I/054 Official-pandas-Documentation.txt 84B
  837. 03 DataFrames I/058 Official-pandas-Documentation.txt 82B
  838. 05 DataFrames III/071 loc-Documentation.txt 82B
  839. 02 Series/029 Official-pandas-Documentation.txt 79B