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[FreeCourseSite.com] Udemy - Python 3 and Data Science Mastery Practical Python 3

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FreeCourseSite com Udemy - Python 3 and Data Science Mastery Practical Python 3

文件列表
  1. 1 - Introduction/1 - Introduction.mp414.39MB
  2. 10 - Master Strings in Python/201 - Intro.mp41.83MB
  3. 10 - Master Strings in Python/202 - Presentation Types.mp454.2MB
  4. 10 - Master Strings in Python/204 - Field Widths & Alignment.mp452.57MB
  5. 10 - Master Strings in Python/206 - Numeric Formatting.mp436.61MB
  6. 10 - Master Strings in Python/208 - Strings Format Method.mp454.01MB
  7. 10 - Master Strings in Python/210 - Concatenating & Repeating Strings.mp423.49MB
  8. 10 - Master Strings in Python/212 - Stripping Whitespace From Strings.mp432.02MB
  9. 11 - Files & Exceptions in Python/214 - Intro.mp41.91MB
  10. 11 - Files & Exceptions in Python/215 - Learn about files in Python How Python treats them.mp44.68MB
  11. 11 - Files & Exceptions in Python/216 - How to write to a text file.mp431.97MB
  12. 11 - Files & Exceptions in Python/218 - How to read data from a text file.mp440.42MB
  13. 11 - Files & Exceptions in Python/220 - Update your text file.mp468.09MB
  14. 11 - Files & Exceptions in Python/222 - Exception Handling.mp47.82MB
  15. 11 - Files & Exceptions in Python/223 - Facing Invalid Data or Input.mp422.57MB
  16. 11 - Files & Exceptions in Python/225 - Try Statement.mp4115.07MB
  17. 11 - Files & Exceptions in Python/227 - Finally Clause.mp480.21MB
  18. 11 - Files & Exceptions in Python/229 - Extra point Wrap the with statement with try suit.mp425.69MB
  19. 12 - Object Oriented Programming/231 - Intro.mp46.2MB
  20. 12 - Object Oriented Programming/232 - Create your custom class.mp4105.26MB
  21. 12 - Object Oriented Programming/234 - Attribute access control.mp410.33MB
  22. 12 - Object Oriented Programming/235 - Properties.mp4208.02MB
  23. 12 - Object Oriented Programming/237 - Private attribute simulation.mp447.78MB
  24. 12 - Object Oriented Programming/239 - Inheritance.mp4163.3MB
  25. 12 - Object Oriented Programming/241 - Polymorphism.mp474.05MB
  26. 12 - Object Oriented Programming/243 - Duck typing.mp439.16MB
  27. 12 - Object Oriented Programming/245 - Object class.mp428.02MB
  28. 12 - Object Oriented Programming/246 - Operator overloading.mp48.84MB
  29. 13 - Natural Language Processing NLP/247 - Intro.mp414.83MB
  30. 13 - Natural Language Processing NLP/248 - Get Textblob.mp45.36MB
  31. 13 - Natural Language Processing NLP/249 - Create Textblobg.mp411.75MB
  32. 13 - Natural Language Processing NLP/251 - Text tokenizing.mp415.25MB
  33. 13 - Natural Language Processing NLP/253 - Parts of speech tagging.mp443.33MB
  34. 13 - Natural Language Processing NLP/255 - Noun phrase extraction.mp413.65MB
  35. 13 - Natural Language Processing NLP/257 - Textblobs default sentiment analyzer.mp447.5MB
  36. 13 - Natural Language Processing NLP/259 - NaiveBayesAnalyzer.mp450.98MB
  37. 13 - Natural Language Processing NLP/261 - Language detection and translation.mp438.25MB
  38. 13 - Natural Language Processing NLP/263 - Pluralization & Singularization.mp438.49MB
  39. 13 - Natural Language Processing NLP/265 - Spell checking & Correction.mp430.69MB
  40. 14 - Twitter Data Mining/267 - Intro.mp44.78MB
  41. 14 - Twitter Data Mining/268 - Create your twitter developer account.mp422.79MB
  42. 14 - Twitter Data Mining/269 - Get yourself comfortable with reading Twitter API docs.mp459.22MB
  43. 14 - Twitter Data Mining/270 - Create your first twitter app project and access the private credentials.mp428.06MB
  44. 14 - Twitter Data Mining/271 - Install the tweepy module on your system.mp412.54MB
  45. 14 - Twitter Data Mining/272 - Authenticate with twitter.mp437.76MB
  46. 14 - Twitter Data Mining/274 - Access information of a twitter account.mp471.1MB
  47. 14 - Twitter Data Mining/276 - Access users followers and friends by using cursor object.mp47.38MB
  48. 14 - Twitter Data Mining/278 - Find out who the users followers are.mp441.55MB
  49. 14 - Twitter Data Mining/280 - Find out who the users followings are.mp425.25MB
  50. 14 - Twitter Data Mining/282 - Get users latest tweets.mp432.81MB
  51. 14 - Twitter Data Mining/284 - Search the recent tweets.mp4119.16MB
  52. 15 - IBM Watson & Cognitive Computing/286 - Intro.mp47.26MB
  53. 15 - IBM Watson & Cognitive Computing/287 - IBM Watson explained.mp48.63MB
  54. 15 - IBM Watson & Cognitive Computing/288 - Create an IBM cloud account.mp48.7MB
  55. 15 - IBM Watson & Cognitive Computing/289 - Install the necessary components.mp449.81MB
  56. 15 - IBM Watson & Cognitive Computing/290 - Translator app demo.mp412.18MB
  57. 15 - IBM Watson & Cognitive Computing/291 - Translator app to do list.mp44.86MB
  58. 15 - IBM Watson & Cognitive Computing/292 - Register for the speech to text service.mp424.24MB
  59. 15 - IBM Watson & Cognitive Computing/293 - Register for the text to speech service.mp415MB
  60. 15 - IBM Watson & Cognitive Computing/294 - Register for the language translator service.mp410.5MB
  61. 15 - IBM Watson & Cognitive Computing/295 - Import Watson SDK classes and media modules.mp47.74MB
  62. 15 - IBM Watson & Cognitive Computing/297 - Translate function & entry point.mp48.88MB
  63. 15 - IBM Watson & Cognitive Computing/299 - Record users voice function.mp4116.35MB
  64. 15 - IBM Watson & Cognitive Computing/301 - Step 1 Record english audio.mp47.97MB
  65. 15 - IBM Watson & Cognitive Computing/303 - Speech to text function.mp4115.66MB
  66. 15 - IBM Watson & Cognitive Computing/305 - Step 2 Transcribe english speech to english text.mp419.5MB
  67. 15 - IBM Watson & Cognitive Computing/307 - Translate function.mp442.65MB
  68. 15 - IBM Watson & Cognitive Computing/309 - Step 3 Translate the english text into french text.mp417.48MB
  69. 15 - IBM Watson & Cognitive Computing/311 - Text to speech function.mp427.11MB
  70. 15 - IBM Watson & Cognitive Computing/313 - Step 4 Convert the french text into spoken french audio.mp418.55MB
  71. 15 - IBM Watson & Cognitive Computing/315 - Play function.mp49.25MB
  72. 15 - IBM Watson & Cognitive Computing/317 - Step 5 Play french audio.mp48.92MB
  73. 15 - IBM Watson & Cognitive Computing/319 - Step 6 Record french audio.mp42.4MB
  74. 15 - IBM Watson & Cognitive Computing/321 - Step 7 Transcribe the french speech to french text.mp44.51MB
  75. 15 - IBM Watson & Cognitive Computing/323 - Step 8 Translate the french text into english text.mp435.81MB
  76. 15 - IBM Watson & Cognitive Computing/325 - Step 9 Convert the english text into spoken english audio.mp49.82MB
  77. 15 - IBM Watson & Cognitive Computing/327 - Step 10 Play english audio & finishing touches.mp4285.01MB
  78. 16 - Machine learning in Python/330 - Intro.mp410.97MB
  79. 16 - Machine learning in Python/331 - Machine Learning Types.mp421.22MB
  80. 16 - Machine learning in Python/332 - Classification model.mp49.89MB
  81. 16 - Machine learning in Python/333 - ScikitLearn library.mp44.31MB
  82. 16 - Machine learning in Python/334 - Datasets.mp44.71MB
  83. 16 - Machine learning in Python/335 - Digits dataset.mp45.25MB
  84. 16 - Machine learning in Python/336 - KNearest Neighbors Algorithm.mp49.19MB
  85. 16 - Machine learning in Python/337 - Hyperparameters.mp410.44MB
  86. 16 - Machine learning in Python/338 - Loading the digits dataset.mp49.03MB
  87. 16 - Machine learning in Python/340 - Target & Data attributes.mp419.68MB
  88. 16 - Machine learning in Python/342 - Set up data.mp416.81MB
  89. 16 - Machine learning in Python/344 - Create a diagram.mp46.9MB
  90. 16 - Machine learning in Python/346 - Display digit images.mp435.08MB
  91. 16 - Machine learning in Python/348 - Splitting data for training and testing purposes.mp448.06MB
  92. 16 - Machine learning in Python/350 - Training & Testing size customization.mp424.73MB
  93. 16 - Machine learning in Python/352 - Create the Model.mp414.43MB
  94. 16 - Machine learning in Python/354 - Train the Model.mp416.25MB
  95. 16 - Machine learning in Python/356 - Predict data & Test your model.mp438.99MB
  96. 17 - Deep learning in Python/359 - Introduction.mp43.22MB
  97. 17 - Deep learning in Python/360 - Deep learning models.mp41.71MB
  98. 17 - Deep learning in Python/361 - Neural networks.mp45.88MB
  99. 17 - Deep learning in Python/362 - Artificial neurons.mp46.84MB
  100. 17 - Deep learning in Python/363 - Artificial Neural Network Diagram.mp42.51MB
  101. 17 - Deep learning in Python/364 - Iterative learning process.mp425.02MB
  102. 17 - Deep learning in Python/365 - How synapses are activated.mp418.86MB
  103. 17 - Deep learning in Python/366 - Backpropagation technique.mp44.33MB
  104. 17 - Deep learning in Python/367 - Tensors.mp413.35MB
  105. 17 - Deep learning in Python/368 - Convnets.mp44.79MB
  106. 17 - Deep learning in Python/369 - MNIST digits dataset.mp47.74MB
  107. 17 - Deep learning in Python/370 - Probabilistic classification.mp49.1MB
  108. 17 - Deep learning in Python/371 - Keras reproducibility.mp411.01MB
  109. 17 - Deep learning in Python/372 - Keras neural network components.mp413.58MB
  110. 17 - Deep learning in Python/373 - Loading MNIST Dataset.mp443.7MB
  111. 17 - Deep learning in Python/375 - Explore MNIST Data.mp412.97MB
  112. 17 - Deep learning in Python/377 - Digits visualization.mp4110.77MB
  113. 17 - Deep learning in Python/379 - Data preparation process Reshaping.mp422.44MB
  114. 17 - Deep learning in Python/381 - Data preparation Normalization.mp422.85MB
  115. 17 - Deep learning in Python/383 - Data preparation Converting labels to categorical data.mp439.16MB
  116. 17 - Deep learning in Python/385 - Neural Network Creation.mp47.94MB
  117. 17 - Deep learning in Python/387 - Integrating layers into the network.mp413.97MB
  118. 17 - Deep learning in Python/389 - The Convolution Process.mp422.45MB
  119. 17 - Deep learning in Python/390 - Add Conv2D Layer.mp437.33MB
  120. 17 - Deep learning in Python/392 - Conv2D Output Dimensionality.mp416.7MB
  121. 17 - Deep learning in Python/393 - Overfitting.mp418.12MB
  122. 17 - Deep learning in Python/394 - Add a Pooling Layer.mp427.28MB
  123. 17 - Deep learning in Python/396 - Add One More Convolution Layer.mp426.73MB
  124. 17 - Deep learning in Python/398 - Add one more pooling layer.mp45.45MB
  125. 17 - Deep learning in Python/400 - Add Flatten Layer.mp46.36MB
  126. 17 - Deep learning in Python/402 - Add a Dense Layer to reduce the features.mp418.67MB
  127. 17 - Deep learning in Python/404 - Add a Dense Layer to produce the final results.mp49.71MB
  128. 17 - Deep learning in Python/406 - Models Summary.mp429.27MB
  129. 17 - Deep learning in Python/408 - Model Structure Visualization.mp497.25MB
  130. 17 - Deep learning in Python/410 - Compile the model.mp418.28MB
  131. 17 - Deep learning in Python/412 - Train the model.mp445.74MB
  132. 17 - Deep learning in Python/414 - Evaluate the model.mp414.87MB
  133. 17 - Deep learning in Python/416 - Predict data.mp434.89MB
  134. 17 - Deep learning in Python/418 - Display the incorrect predictions.mp476.71MB
  135. 17 - Deep learning in Python/420 - Visualize the incorrect predictions.mp445.94MB
  136. 17 - Deep learning in Python/422 - Access the wrong predictions’ probabilities.mp448.29MB
  137. 17 - Deep learning in Python/424 - Saving & Loading our model.mp455.49MB
  138. 18 - Big Data/426 - Databases.mp416.3MB
  139. 18 - Big Data/427 - Relational databases.mp412.2MB
  140. 18 - Big Data/428 - Create a sqlite database.mp423.61MB
  141. 18 - Big Data/430 - Create a table.mp422.81MB
  142. 18 - Big Data/432 - Create a list of martial arts.mp49.58MB
  143. 18 - Big Data/434 - Insert data into the database.mp454.23MB
  144. 18 - Big Data/436 - Access the database data.mp418.24MB
  145. 18 - Big Data/438 - Update the database data.mp443.67MB
  146. 18 - Big Data/440 - Delete the database data.mp425.95MB
  147. 19 - Data Science/442 - Intro to datascience.mp42.73MB
  148. 19 - Data Science/443 - Descriptive statistics.mp415.31MB
  149. 19 - Data Science/445 - Measures of central tendency.mp44.48MB
  150. 19 - Data Science/446 - Mean.mp415.36MB
  151. 19 - Data Science/448 - Median.mp47.49MB
  152. 19 - Data Science/450 - Mode.mp414MB
  153. 19 - Data Science/452 - Measures of Dispersion.mp46.22MB
  154. 19 - Data Science/453 - Variance.mp418.98MB
  155. 19 - Data Science/455 - Standard deviation.mp421.17MB
  156. 19 - Data Science/457 - Static visualization.mp42.53MB
  157. 19 - Data Science/458 - Import the necessary modules.mp48.39MB
  158. 19 - Data Science/460 - Roll the dice.mp424.11MB
  159. 19 - Data Science/462 - Set the title and style of your visualization.mp419.64MB
  160. 19 - Data Science/464 - Start the visualization.mp441.36MB
  161. 19 - Data Science/466 - Setting up title for each bar.mp4114.79MB
  162. 2 - Download & Install the Required Softwares/2 - Install Anaconda.mp410.86MB
  163. 2 - Download & Install the Required Softwares/3 - Update Anaconda.mp416.62MB
  164. 2 - Download & Install the Required Softwares/4 - Our package managers.mp46MB
  165. 2 - Download & Install the Required Softwares/5 - Install jupytermatplotlib.mp410.42MB
  166. 2 - Download & Install the Required Softwares/6 - Download and Install Visual Studio Code.mp437.5MB
  167. 3 - Learn to Use IPyton & Jupyter Notebooks/7 - IPython.mp439.49MB
  168. 3 - Learn to Use IPyton & Jupyter Notebooks/8 - Jupyter Notebook.mp474.62MB
  169. 4 - Python Programming Basics/11 - Arithmetic.mp428.36MB
  170. 4 - Python Programming Basics/13 - Strings Single Quoted & Double Quoted Strings.mp454.77MB
  171. 4 - Python Programming Basics/15 - Triplequoted Strings.mp443.07MB
  172. 4 - Python Programming Basics/17 - Get input from user.mp469.03MB
  173. 4 - Python Programming Basics/19 - Decision making.mp4118.73MB
  174. 4 - Python Programming Basics/20 - Objects.mp457.64MB
  175. 4 - Python Programming Basics/9 - Variables.mp445.14MB
  176. 5 - Control Statements in Python/22 - if elif and else.mp452.2MB
  177. 5 - Control Statements in Python/24 - while loop.mp429.4MB
  178. 5 - Control Statements in Python/26 - for loop.mp447.59MB
  179. 5 - Control Statements in Python/28 - Augmented assignments.mp435.38MB
  180. 5 - Control Statements in Python/30 - Sequence iteration.mp438.5MB
  181. 5 - Control Statements in Python/32 - Sentinel iteration.mp459.16MB
  182. 5 - Control Statements in Python/34 - Range function.mp442.4MB
  183. 5 - Control Statements in Python/36 - Decimal type.mp478.4MB
  184. 5 - Control Statements in Python/38 - Logical operators.mp462.76MB
  185. 6 - Functions in Python/40 - Defining functions.mp469.55MB
  186. 6 - Functions in Python/42 - Functions with multiple parameters.mp461.01MB
  187. 6 - Functions in Python/44 - Random number generation.mp422.3MB
  188. 6 - Functions in Python/46 - math Module.mp415.22MB
  189. 6 - Functions in Python/48 - Default Argument Value.mp431.79MB
  190. 6 - Functions in Python/50 - Keyword Arguments.mp425.05MB
  191. 6 - Functions in Python/52 - Arbitrary Parameter List.mp421.48MB
  192. 6 - Functions in Python/54 - Methods.mp445.25MB
  193. 6 - Functions in Python/56 - Scoping.mp445.59MB
  194. 6 - Functions in Python/58 - Import statement.mp426.44MB
  195. 6 - Functions in Python/60 - Function arguments.mp457.62MB
  196. 6 - Functions in Python/62 - Reproducibility.mp427.86MB
  197. 7 - Sequences in Python Programming Master Lists & Tuples/101 - Del Statement.mp452.39MB
  198. 7 - Sequences in Python Programming Master Lists & Tuples/103 - Pass a list object to a function Passing by reference explained.mp443.07MB
  199. 7 - Sequences in Python Programming Master Lists & Tuples/105 - The Sort Method.mp416.61MB
  200. 7 - Sequences in Python Programming Master Lists & Tuples/107 - The Sorted Function.mp468.75MB
  201. 7 - Sequences in Python Programming Master Lists & Tuples/109 - Sequence Searching.mp4112.79MB
  202. 7 - Sequences in Python Programming Master Lists & Tuples/111 - Usages of in and not in keywords when it comes to sequence searching.mp429.52MB
  203. 7 - Sequences in Python Programming Master Lists & Tuples/113 - Inserting & Appending.mp424.75MB
  204. 7 - Sequences in Python Programming Master Lists & Tuples/115 - Extend your list.mp438.44MB
  205. 7 - Sequences in Python Programming Master Lists & Tuples/117 - Remove & Clear List Elements.mp47.98MB
  206. 7 - Sequences in Python Programming Master Lists & Tuples/119 - Count up the list items and determine the occurrence.mp419.42MB
  207. 7 - Sequences in Python Programming Master Lists & Tuples/121 - Reverse your list elements.mp46.19MB
  208. 7 - Sequences in Python Programming Master Lists & Tuples/123 - How to create a shallow list copy of your list elements.mp418.93MB
  209. 7 - Sequences in Python Programming Master Lists & Tuples/125 - How to create a shallow list copy of your list elements.mp418.92MB
  210. 7 - Sequences in Python Programming Master Lists & Tuples/127 - Stack Data Structure and the pop function.mp415.92MB
  211. 7 - Sequences in Python Programming Master Lists & Tuples/129 - Simple List Comprehension Creation.mp416.3MB
  212. 7 - Sequences in Python Programming Master Lists & Tuples/131 - Complex List Comprehension Creation.mp423.2MB
  213. 7 - Sequences in Python Programming Master Lists & Tuples/133 - Add decision making to your list comprehension.mp421.13MB
  214. 7 - Sequences in Python Programming Master Lists & Tuples/135 - Apply List Comprehension other sorts of sequences.mp416.42MB
  215. 7 - Sequences in Python Programming Master Lists & Tuples/137 - Generator Expression Vs List Comprehension Which one is better.mp417.66MB
  216. 7 - Sequences in Python Programming Master Lists & Tuples/139 - Generator Expressions.mp431.77MB
  217. 7 - Sequences in Python Programming Master Lists & Tuples/141 - Functional Programming With Filter.mp435.3MB
  218. 7 - Sequences in Python Programming Master Lists & Tuples/143 - Use Lambda Expression to Simplify the Process of Filtering.mp426.86MB
  219. 7 - Sequences in Python Programming Master Lists & Tuples/145 - Functional Programming With Map.mp480.65MB
  220. 7 - Sequences in Python Programming Master Lists & Tuples/147 - Functional Programming With Reduce.mp447.65MB
  221. 7 - Sequences in Python Programming Master Lists & Tuples/149 - The ord fucntion Get the numeric value of your sequence.mp437.96MB
  222. 7 - Sequences in Python Programming Master Lists & Tuples/151 - Sequence processing with min and max.mp426.66MB
  223. 7 - Sequences in Python Programming Master Lists & Tuples/153 - The Zip Function.mp418.78MB
  224. 7 - Sequences in Python Programming Master Lists & Tuples/155 - Two Dimensional Arrays.mp484.28MB
  225. 7 - Sequences in Python Programming Master Lists & Tuples/64 - Intro What we are going to learn in this section of the course.mp419.65MB
  226. 7 - Sequences in Python Programming Master Lists & Tuples/65 - Install CodeRunner Extension in Visual Studio Code.mp47.24MB
  227. 7 - Sequences in Python Programming Master Lists & Tuples/66 - A List of Integer Values & Accessing List Elements With Positive Indices.mp448.51MB
  228. 7 - Sequences in Python Programming Master Lists & Tuples/68 - Negatives Indices & Math Operations to access elements & Mutable Lists.mp453.29MB
  229. 7 - Sequences in Python Programming Master Lists & Tuples/70 - Populating list with a range & Concatenation Operator & Boolean Operations.mp471.04MB
  230. 7 - Sequences in Python Programming Master Lists & Tuples/72 - Tuples.mp491.78MB
  231. 7 - Sequences in Python Programming Master Lists & Tuples/74 - Why you should learn about sequence unpacking in Python.mp435.85MB
  232. 7 - Sequences in Python Programming Master Lists & Tuples/75 - Unpacking Tuples Strings & Lists.mp446.41MB
  233. 7 - Sequences in Python Programming Master Lists & Tuples/77 - Unpacking Range of Integer Values.mp448.53MB
  234. 7 - Sequences in Python Programming Master Lists & Tuples/79 - Use Unpacking to add swapping feature to your app.mp425.84MB
  235. 7 - Sequences in Python Programming Master Lists & Tuples/81 - Unpacking Enumerated Sequences With their Indices & Corresponding Values.mp450.9MB
  236. 7 - Sequences in Python Programming Master Lists & Tuples/83 - Create a primitive bar chart with.mp447.14MB
  237. 7 - Sequences in Python Programming Master Lists & Tuples/85 - Slice an ordered subset of sequence values.mp450.84MB
  238. 7 - Sequences in Python Programming Master Lists & Tuples/87 - Slice an intermittent subset of sequence values.mp426.65MB
  239. 7 - Sequences in Python Programming Master Lists & Tuples/89 - Use negative indices to slice a reversed subset of sequence values.mp426.8MB
  240. 7 - Sequences in Python Programming Master Lists & Tuples/91 - Count backwards the sequence The HARD way.mp415.16MB
  241. 7 - Sequences in Python Programming Master Lists & Tuples/93 - Update a subset of sequence values.mp413.55MB
  242. 7 - Sequences in Python Programming Master Lists & Tuples/95 - Delete a subset of sequence values.mp45.72MB
  243. 7 - Sequences in Python Programming Master Lists & Tuples/97 - Modify an intermittent subset of sequence values.mp420.12MB
  244. 7 - Sequences in Python Programming Master Lists & Tuples/99 - Determine the identity of your sequence object after slicing.mp432.89MB
  245. 8 - Dictionaries & Sets in Python/157 - Intro What is dictionary & set.mp414.19MB
  246. 8 - Dictionaries & Sets in Python/158 - How to create a dictionary in Python.mp447.77MB
  247. 8 - Dictionaries & Sets in Python/160 - Iterate through a dictionary.mp420.11MB
  248. 8 - Dictionaries & Sets in Python/162 - Access Update and Insert new Entities to your Dictionary.mp426.7MB
  249. 8 - Dictionaries & Sets in Python/164 - Remove Entities From your Dictionary.mp413.84MB
  250. 8 - Dictionaries & Sets in Python/166 - Get Function.mp442.33MB
  251. 8 - Dictionaries & Sets in Python/168 - Keys & Values Methods and Operations.mp465.39MB
  252. 8 - Dictionaries & Sets in Python/170 - Dictionary Comparison.mp417.24MB
  253. 8 - Dictionaries & Sets in Python/172 - Sets.mp470.77MB
  254. 8 - Dictionaries & Sets in Python/174 - Comparing Sets.mp459.51MB
  255. 8 - Dictionaries & Sets in Python/176 - Union Function.mp422.41MB
  256. 8 - Dictionaries & Sets in Python/178 - Intersection Function.mp416.5MB
  257. 8 - Dictionaries & Sets in Python/180 - Difference Function.mp412.92MB
  258. 8 - Dictionaries & Sets in Python/182 - Symmetric Difference Function.mp415.65MB
  259. 8 - Dictionaries & Sets in Python/184 - IsDisjoint Function.mp411.09MB
  260. 8 - Dictionaries & Sets in Python/186 - Update Method.mp47.61MB
  261. 8 - Dictionaries & Sets in Python/188 - Add Method.mp44.93MB
  262. 8 - Dictionaries & Sets in Python/190 - Remove Method.mp426.56MB
  263. 9 - Array Oriented Programming With Numpy/192 - Intro.mp415.24MB
  264. 9 - Array Oriented Programming With Numpy/193 - Creating Arrays & Two Dimensional Arrays Using Numpy.mp430.36MB
  265. 9 - Array Oriented Programming With Numpy/195 - Numpy Array Attributes.mp4100.77MB
  266. 9 - Array Oriented Programming With Numpy/197 - Populate your array with special values.mp461.31MB
  267. 9 - Array Oriented Programming With Numpy/199 - Create Arrays Using Ranges.mp470.92MB
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