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Pluralsight - Python course collection (45+ courses) [AhLaN]
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Files:
  1. 05. Duck Tail- An Object Introspection Tool~.mp4 53.2 MB
  2. Downloaded from Ahlanedu.com.txt 996 bytes
  3. final thumbnail.png 420.1 KB
  4. Post.txt 3.2 KB
  5. Visit us at www.Ahlanedu.com.url 51 bytes
  6. finding-relationships-data-python~.zip 5.5 MB
  7. 01. Course Overview~.mp4 3.6 MB
  8. 01. Module Overview~.mp4 1.7 MB
  9. 02. Prerequisites and Course Outline.mp4 1.5 MB
  10. 03. Statistics in Understanding Data.mp4 6.4 MB
  11. 04. Measures of Central Tendency and Dispersion.mp4 7.7 MB
  12. 05. Bivariate and Multivariate Descriptive Statistics.mp4 4.6 MB
  13. 06. Demo- Loading Cleaning and Preparing Data.mp4 10.6 MB
  14. 07. Demo- Exploring and Visualizing Relationships.mp4 13.2 MB
  15. 08. Demo- Calculating and Visualizing Correlations.mp4 17.3 MB
  16. 09. Autocorrelation~.mp4 2.2 MB
  17. 10. Demo- Calculating and Visualizing Autocorrelation.mp4 10.0 MB
  18. 11. Demo- Line Plots and Bar Graphs.mp4 7.8 MB
  19. 12. Demo- Box Plots Violin Plots and Pie Charts.mp4 9.7 MB
  20. 13. Module Summary~.mp4 1.7 MB
  21. 01. Module Overview.mp4 3.5 MB
  22. 02. Kernel Density Estimation.mp4 5.1 MB
  23. 03. Demo- Histograms, KDE Plots, Rug Plots.mp4 14.7 MB
  24. 04. Demo- Exploring Continuous and Categorical Relationships.mp4 13.2 MB
  25. 05. Demo- Pairwise Relationships.mp4 13.1 MB
  26. 06. Demo- Visualizing Multiple Relationships with Facets.mp4 8.0 MB
  27. 07. Module Summary.mp4 1.8 MB
  28. 01. Module Overview.mp4 2.0 MB
  29. 02. Introducing Altair.mp4 4.1 MB
  30. 03. Demo- Getting Started with Altair.mp4 17.0 MB
  31. 04. Demo- Simple Altair Plots to Slice and Explore Data.mp4 10.9 MB
  32. 05. Demo- Visualizing Relationships Using Binning and Aggregation.mp4 8.0 MB
  33. 06. Demo- Interactive Visualizations with Altair.mp4 17.6 MB
  34. 07. Introducing Plotly.mp4 2.3 MB
  35. 08. Demo- Interactive Visualizations for Financial Data Using Plotly.mp4 11.8 MB
  36. 09. Demo- Geographical Plots Using Bubble Maps.mp4 7.0 MB
  37. 10. Summary and Further Study.mp4 1.9 MB
  38. interpreting-data-descriptive-statistics-python~.zip 4.4 MB
  39. 01. Course Overview~.mp4 3.2 MB
  40. 01. Module Summary~.mp4 2.1 MB
  41. 02. Prerequisites and Course Outline.mp4 1.5 MB
  42. 03. Introducing Descriptive Statistics.mp4 5.4 MB
  43. 04. Measures of Central Tendency.mp4 10.4 MB
  44. 05. Measures of Dispersion.mp4 6.7 MB
  45. 06. Understanding Variance.mp4 3.7 MB
  46. 07. The Gaussian Distribution.mp4 5.1 MB
  47. 08. Sampling Distribution to Estimate Population Mean.mp4 10.1 MB
  48. 09. Confidence Intervals.mp4 9.2 MB
  49. 10. Skewness and Kurtosis.mp4 6.7 MB
  50. 11. Covariance and Correlation.mp4 6.2 MB
  51. 12. Module Summary~.mp4 1.8 MB
  52. 01. Module Overview.mp4 3.2 MB
  53. 02. Demo- Getting Started with Pandas.mp4 8.8 MB
  54. 03. Demo- Mean and Median.mp4 12.3 MB
  55. 04. Demo- Influence of Outliers on Mean and Median.mp4 8.7 MB
  56. 05. Demo- Quantiles and the Interquartile Range.mp4 10.5 MB
  57. 06. Demo- Variance and Standard Deviation.mp4 6.0 MB
  58. 07. Demo- Interpreting and Visualizing Summary Statistics.mp4 10.7 MB
  59. 08. Demo- Skewness and Kurtosis.mp4 9.0 MB
  60. 09. Demo- Covariance and Correlation.mp4 12.5 MB
  61. 10. Demo- Calculating and Visualizing Confidence Intervals.mp4 11.0 MB
  62. 11. Module Summary.mp4 2.2 MB
  63. 01. Module Overview.mp4 3.2 MB
  64. 02. Demo- Mean and Median.mp4 10.9 MB
  65. 03. Demo- Influence of Outliers and Mode.mp4 6.2 MB
  66. 04. Demo- Interquartile Range Variance and Standard Deviation.mp4 12.5 MB
  67. 05. Demo- Z-scores Using SciPy.mp4 12.3 MB
  68. 06. Demo- Skewness and Kurtosis for Stock Returns.mp4 9.8 MB
  69. 07. Demo- Descriptive Statistics and Regression Analysis on Bivariate and Multivariate Data.mp4 14.6 MB
  70. 08. Demo- Calculating and Interpreting Confidence Intervals.mp4 5.4 MB
  71. 09. Summary and Further Study.mp4 2.6 MB
  72. interpreting-data-using-statistical-models-python~.zip 4.7 MB
  73. 01. Course Overview~.mp4 3.6 MB
  74. 01. Module Overview~.mp4 2.3 MB
  75. 02. Prerequisites and Course Outline.mp4 1.8 MB
  76. 03. Descriptive Statistics to Summarize Data.mp4 6.4 MB
  77. 04. Introducing Hypothesis Testing.mp4 7.7 MB
  78. 05. Lady Tasting Tea~.mp4 7.7 MB
  79. 06. The Power, Alpha and p-value of a Statistical Test.mp4 3.8 MB
  80. 07. Introducing the t-test~.mp4 6.2 MB
  81. 08. One Sample Location t-test and the Z-Test.mp4 4.7 MB
  82. 09. Other Types of t-tests~.mp4 9.8 MB
  83. 10. One-way ANOVA~.mp4 9.9 MB
  84. 11. Two-way ANOVA~.mp4 3.8 MB
  85. 12. Pearson's Chi2 Test~.mp4 6.8 MB
  86. 13. Module Summary~.mp4 2.2 MB
  87. 01. Module Overview~.mp4 2.0 MB
  88. 02. Demo- Preparing Data for Hypothesis Testing.mp4 16.1 MB
  89. 03. Demo- Performing the Independent t-test.mp4 12.8 MB
  90. 04. Demo- Performing Welch's t-test.mp4 13.2 MB
  91. 05. Demo- Performing the Paired Difference t-test.mp4 10.4 MB
  92. 06. Demo- One-way ANOVA and Tukey's Honest Significant Difference Test.mp4 10.6 MB
  93. 07. Demo- Two-way ANOVA~.mp4 17.9 MB
  94. 08. Demo- Chi2 Analysis~.mp4 15.0 MB
  95. 09. Module Summary~.mp4 2.1 MB
  96. 01. Module Overview.mp4 1.8 MB
  97. 02. Introducing Linear Regression.mp4 5.4 MB
  98. 03. Minimizing Mean Square Error.mp4 4.8 MB
  99. 04. Multiple Regression and Adjusted R-square.mp4 6.9 MB
  100. 05. Demo- Preparing Data for Simple Linear Regression.mp4 12.1 MB
  101. 06. Demo- Linear Regression Using Analytical and Machine Learning Techniques.mp4 10.3 MB
  102. 07. Demo- Visualizing Correlations in Data.mp4 7.2 MB
  103. 08. Demo- Selecting Relevant Features for Multiple Regression Using Correlations.mp4 11.4 MB
  104. 09. Demo- Selecting Relevant Features for Multiple Regression Using Mutual Information.mp4 5.5 MB
  105. 10. Module Summary.mp4 1.9 MB
  106. 01. Module Overview.mp4 2.4 MB
  107. 02. The Intuition behind Logistic Regression.mp4 8.9 MB
  108. 03. Logistic Regression and Linear Regression.mp4 4.8 MB
  109. 04. Accuracy, Precision, and Recall.mp4 8.3 MB
  110. 05. Demo- Performing Classification Using Logistic Regression.mp4 12.8 MB
  111. 06. Demo- Selecting Features Using Chi2, ANOVA, and Mutual Information.mp4 14.1 MB
  112. 07. Summary and Further Study.mp4 2.7 MB
  113. Finding Relationships in Data with Python [AhLaN]~.jpg 887.2 KB
  114. Interpreting Data Using Descriptive Statistics with Python [AhLaN]~.jpg 691.7 KB
  115. Interpreting Data Using Statistical Models with Python [AhLaN]~.jpg 902.1 KB
  116. Post~.txt 8.9 KB
  117. advanced-python~.zip 7.8 MB
  118. 01. Course Overview~.mp4 5.2 MB
  119. 01. Advanced Python~.mp4 11.9 MB
  120. 02. Introducing Advanced Flow Control~.mp4 679.6 KB
  121. 03. Loop-else Clauses and While-else~.mp4 6.9 MB
  122. 04. While-else for Evaluating Stack Programs~.mp4 18.9 MB
  123. 05. For-else Clauses and Handling Search Failure~.mp4 6.8 MB
  124. 06. Alternatives to Loop-else Clauses~.mp4 3.9 MB
  125. 07. Try-else Clauses~.mp4 2.4 MB
  126. 08. Emulating Switch Statements~.mp4 18.5 MB
  127. 09. Dispatching on Type~.mp4 23.7 MB
  128. 10. Double Dispatch with Methods~.mp4 11.6 MB
  129. 11. Summary~.mp4 3.8 MB
  130. 01. Everything Is Bits and Bytes~.mp4 1.4 MB
  131. 02. Bitwise Operations on Integers~.mp4 11.2 MB
  132. 03. Byte-wise Operations with Integers~.mp4 4.3 MB
  133. 04. The Bytes Type in Depth~.mp4 7.4 MB
  134. 05. The bytearray Type~.mp4 4.2 MB
  135. 06. Interpreting Binary Structures~.mp4 35.3 MB
  136. 07. The memoryview Type~.mp4 23.5 MB
  137. 08. Memory-mapped Files~.mp4 15.2 MB
  138. 09. Summary~.mp4 2.7 MB
  139. 01. Introducing Object Internals~.mp4 904.3 KB
  140. 02. How are Python Objects Represented-~.mp4 10.1 MB
  141. 03. Overriding __getattr__~.mp4 4.3 MB
  142. 04. Overriding __setattr__~.mp4 1.5 MB
  143. 05. Pitfalls with __getattr__~.mp4 8.3 MB
  144. 06. Overriding __delattr__~.mp4 2.3 MB
  145. 07. Customizing Attribute Storage~.mp4 7.4 MB
  146. 08. Direct vs. Indirect Access to __dict__~.mp4 1.1 MB
  147. 09. Overriding __getattribute__~.mp4 9.9 MB
  148. 10. Attribute Lookup for Special Methods~.mp4 5.9 MB
  149. 11. Where are Methods Stored-~.mp4 3.6 MB
  150. 12. Trading Size for Dynamism with Slots~.mp4 9.1 MB
  151. 13. Summary~.mp4 2.1 MB
  152. 01. Introducing Descriptors~.mp4 9.9 MB
  153. 02. Properties are Descriptors~.mp4 13.3 MB
  154. 03. Implementing a Descriptor~.mp4 21.8 MB
  155. 04. Calling Descriptors on Classes~.mp4 4.2 MB
  156. 05. Data vs. Non-data Descriptors~.mp4 6.3 MB
  157. 06. Summary~.mp4 3.0 MB
  158. 01. Instance Creation~.mp4 10.2 MB
  159. 02. Allocation with __new__()~.mp4 7.4 MB
  160. 03. Customizing Allocation~.mp4 9.2 MB
  161. 04. Summary~.mp4 1.2 MB
  162. 01. Metaclasses~.mp4 4.4 MB
  163. 02. Class Allocation and Initialization~.mp4 24.2 MB
  164. 03. Metaclass Keyword Arguments~.mp4 10.1 MB
  165. 04. Metaclass Method Visibility~.mp4 5.9 MB
  166. 05. Metaclass __call__ - The Instance Constructor~.mp4 13.0 MB
  167. 06. A Practical Metaclass Example~.mp4 12.3 MB
  168. 07. Naming Descriptors Using Metaclasses~.mp4 12.8 MB
  169. 08. Metaclasses and Inheritance~.mp4 14.2 MB
  170. 09. Summary~.mp4 2.5 MB
  171. 01. Class Decorators~.mp4 6.1 MB
  172. 02. Enforcing Class Invariants~.mp4 13.9 MB
  173. 03. Detecting and Wrapping Properties~.mp4 11.1 MB
  174. 04. Chaining Class Decorators~.mp4 7.3 MB
  175. 05. Summary~.mp4 537.3 KB
  176. 01. Introducing Abstract Base Classes~.mp4 7.8 MB
  177. 02. Abstract Base Classes in Python~.mp4 7.5 MB
  178. 03. Abstract Base Classes in Practice~.mp4 8.6 MB
  179. 04. Non-transitive Subclass Relationships~.mp4 3.2 MB
  180. 05. Method Resolution with Virtual Base Classes~.mp4 3.4 MB
  181. 06. Library Support for Abstract Base Classes~.mp4 5.4 MB
  182. 07. Virtual Subclass Registration~.mp4 1.8 MB
  183. 08. Combining Subclass Detection and Registration~.mp4 5.7 MB
  184. 09. The ABC Convenience Base Class~.mp4 966.0 KB
  185. 10. Declaring Abstract Methods~.mp4 8.0 MB
  186. 11. Combining Method Decorators~.mp4 5.7 MB
  187. 12. Improving @invariant with ABCs~.mp4 17.9 MB
  188. 13. Summary~.mp4 12.2 MB
  189. full-stack-web-development-python-web2py~.zip 7.0 MB
  190. 01. Introduction~.mp4 10.4 MB
  191. 02. Course Overview~.mp4 3.8 MB
  192. 01. Download and Start WEB2PY~.mp4 14.0 MB
  193. 02. Model-View-Controller~.mp4 8.2 MB
  194. 03. Build Our First Web Page~.mp4 13.9 MB
  195. 04. Request Object~.mp4 21.9 MB
  196. 05. Response Object~.mp4 5.3 MB
  197. 06. Business Rules and Libraries~.mp4 5.2 MB
  198. 07. Deploying Our App~.mp4 12.6 MB
  199. 01. Build a Blog App~.mp4 1.9 MB
  200. 02. Design the Application and Database.mp4 2.1 MB
  201. 03. Use Models and Validators to Define Data Elements.mp4 20.6 MB
  202. 04. Build the Post Page with WEB2PY SQLFORMs.mp4 15.2 MB
  203. 05. Update Records with SQLFORMS.mp4 11.7 MB
  204. 06. Build the View Page~.mp4 7.9 MB
  205. 07. Summary - Inserting and Updating Records.mp4 1.2 MB
  206. 01. Introduction to Database Administration~.mp4 2.1 MB
  207. 02. Importing CSV Files~.mp4 17.2 MB
  208. 03. Query Database Records~.mp4 15.5 MB
  209. 04. Insert, Update, and Delete Database Records~.mp4 19.5 MB
  210. 05. Export CSV Files and Render Data to HTML, JSON, or XML.mp4 18.3 MB
  211. 06. Summary~.mp4 924.9 KB
  212. 01. Introduction~.mp4 1.0 MB
  213. 02. Sample Filters and Sorts~.mp4 18.3 MB
  214. 03. Demo - Contacts App~.mp4 32.2 MB
  215. 01. Introduction~.mp4 3.5 MB
  216. 02. Account Registration~.mp4 12.4 MB
  217. 03. Access Control~.mp4 11.1 MB
  218. 04. Miscellaneous Topics~.mp4 1.8 MB
  219. 05. Summary~.mp4 1.7 MB
  220. 01. Relational Database Concepts~.mp4 7.4 MB
  221. 02. Execute SQL~.mp4 16.4 MB
  222. 03. Dictionaries~.mp4 13.7 MB
  223. 04. Reference Integrity~.mp4 11.1 MB
  224. 05. Summary~.mp4 3.0 MB
  225. 01. Introduction~.mp4 2.0 MB
  226. 02. Sessions~.mp4 15.9 MB
  227. 03. SQL Form Factories~.mp4 15.3 MB
  228. 04. Demo - Prime Numbers~.mp4 5.9 MB
  229. 05. Summary~.mp4 1.9 MB
  230. 01. Introduction~.mp4 3.2 MB
  231. 02. Demo - Farm Fresh App~.mp4 7.3 MB
  232. 03. Demo - Model Code~.mp4 8.0 MB
  233. 04. Demo - Controller Code~.mp4 18.7 MB
  234. 05. Demo - View Code~.mp4 10.8 MB
  235. 06. Demo - Menu Code~.mp4 6.9 MB
  236. 07. Summary~.mp4 2.0 MB
  237. managing-python-packages-virtual-environments~.zip 3.5 MB
  238. 01. Course Overview~.mp4 2.4 MB
  239. 01. Introduction~.mp4 6.2 MB
  240. 02. Getting Started~.mp4 5.5 MB
  241. 03. Demo- Installing pip on Windows~.mp4 7.4 MB
  242. 04. Installing pip on Mac OS or Linux.mp4 1.7 MB
  243. 05. Demo- Linux Installation~.mp4 7.5 MB
  244. 06. Demo- Package Management with pip.mp4 8.4 MB
  245. 07. Demo- Getting Package Information with pip.mp4 8.4 MB
  246. 08. Review~.mp4 1.9 MB
  247. 09. Demo- Where Are Packages Installed-.mp4 7.9 MB
  248. 10. Demo- A Better Way to Call pip~.mp4 6.3 MB
  249. 01. About Virtual Environments.mp4 2.6 MB
  250. 02. Creating a Virtual Environment.mp4 8.8 MB
  251. 03. Working Inside a Virtual Environment.mp4 7.9 MB
  252. 04. Review~.mp4 3.1 MB
  253. 05. Managing Project Requirements.mp4 11.9 MB
  254. 06. Projects, Requirements, and Versions.mp4 4.9 MB
  255. 07. A Real-world Example.mp4 12.4 MB
  256. 08. Another Example- Testing with Tox.mp4 11.8 MB
  257. 01. Intro and Installation.mp4 10.5 MB
  258. 02. Working with virtualenvwrapper.mp4 10.3 MB
  259. 03. Review~.mp4 5.2 MB
  260. 01. Introducing pipenv and poetry~.mp4 10.4 MB
  261. 02. Pipenv~.mp4 12.6 MB
  262. 03. Poetry~.mp4 10.2 MB
  263. 04. Conclusion~.mp4 1.8 MB
  264. python-best-practices-code-quality~.zip 4.7 MB
  265. 01. Course Overview~.mp4 3.1 MB
  266. 01. Introduction- What Is a PEP-.mp4 6.7 MB
  267. 02. Overview of PEP8~.mp4 3.0 MB
  268. 03. Demo- Applying PEP8 Rules to Your Code.mp4 21.8 MB
  269. 04. Review- PEP8~.mp4 2.3 MB
  270. 05. Demo- Commandline Tools- Pylint.mp4 22.4 MB
  271. 06. Demo- Commandline Tools- Pycodestyle and Black.mp4 7.5 MB
  272. 07. Module Summary~.mp4 729.4 KB
  273. 01. Introduction- Docstrings and Sphinx~.mp4 4.7 MB
  274. 02. Demo- Getting Started with Sphinx~.mp4 13.5 MB
  275. 03. Demo- Introducing reStructuredText~.mp4 8.2 MB
  276. 04. Review- Sphinx and reStructuredText~.mp4 3.8 MB
  277. 05. Demo- A Python Project with Docstrings~.mp4 11.6 MB
  278. 06. Demo- Using Apidoc to Generate Documentation from Python Code.mp4 17.9 MB
  279. 07. Review- Apidoc~.mp4 5.3 MB
  280. 01. Introduction- Static Typing and Type Hints.mp4 4.1 MB
  281. 02. Demo- Type Hints~.mp4 9.4 MB
  282. 03. Review- Type Hints~.mp4 6.9 MB
  283. 04. Demo- Adding Type Hints to Our Project~.mp4 26.5 MB
  284. 05. Demo- mypy~.mp4 3.7 MB
  285. 06. Summary~.mp4 777.1 KB
  286. python-beyond-basics~.zip 24.7 MB
  287. 01. Prerequisites~.mp4 14.6 MB
  288. 01. Packages~.mp4 6.5 MB
  289. 02. Imports from sys.path~.mp4 15.1 MB
  290. 03. Implementing Packages~.mp4 8.3 MB
  291. 04. Subpackages~.mp4 3.3 MB
  292. 05. Example- A Full Program~.mp4 4.9 MB
  293. 06. Relative Imports~.mp4 5.3 MB
  294. 07. Controlling Imports with __all__~.mp4 5.5 MB
  295. 08. Namespace Packages~.mp4 7.9 MB
  296. 09. Executable Directories~.mp4 7.1 MB
  297. 10. Recommended Layout~.mp4 2.6 MB
  298. 11. Duck Tails- Modules Are Singletons~.mp4 4.6 MB
  299. 12. Summary~.mp4 8.1 MB
  300. 01. Function Review~.mp4 7.3 MB
  301. 02. Callable Instances~.mp4 11.1 MB
  302. 03. Classes Are Callable~.mp4 4.7 MB
  303. 04. Conditional Expressions~.mp4 2.3 MB
  304. 05. Lambdas~.mp4 15.1 MB
  305. 06. Detecting Callable Objects~.mp4 2.0 MB
  306. 07. Extended Formal Argument Syntax~.mp4 15.3 MB
  307. 08. Extended Call Syntax~.mp4 4.8 MB
  308. 09. Forwarding Arguments~.mp4 1.6 MB
  309. 10. Duck Tail- Transposing Tables~.mp4 7.7 MB
  310. 11. Summary~.mp4 7.7 MB
  311. 01. Local Functions~.mp4 9.7 MB
  312. 02. Returning Functions From Functions~.mp4 1.6 MB
  313. 03. Closures and Nested Scopes~.mp4 2.8 MB
  314. 04. Function Factories~.mp4 2.8 MB
  315. 05. The Nonlocal Keyword~.mp4 15.9 MB
  316. 06. Function Decorators~.mp4 3.7 MB
  317. 07. A First Decorator Example~.mp4 7.0 MB
  318. 08. What Can Be a Decorator-~.mp4 5.6 MB
  319. 09. Instances as Decorators~.mp4 6.2 MB
  320. 10. Multiple Decorators~.mp4 5.5 MB
  321. 11. Decorating Methods~.mp4 3.4 MB
  322. 12. functools.wraps()~.mp4 12.8 MB
  323. 13. Duck Tails- Validating Arguments~.mp4 9.1 MB
  324. 14. Summary~.mp4 5.4 MB
  325. 01. Class Attributes~.mp4 19.5 MB
  326. 02. Static Methods~.mp4 5.9 MB
  327. 03. Class Methods~.mp4 21.7 MB
  328. 04. Static Methods with Inheritance~.mp4 14.8 MB
  329. 05. Class Methods with Inheritance~.mp4 18.3 MB
  330. 06. Properties~.mp4 28.0 MB
  331. 07. Properties and Inheritance~.mp4 38.4 MB
  332. 08. Duck Tail- The Template Method Pattern~.mp4 13.8 MB
  333. 09. Summary~.mp4 4.6 MB
  334. 01. Two String Representations~.mp4 3.3 MB
  335. 02. repr()~.mp4 6.1 MB
  336. 03. str()~.mp4 2.4 MB
  337. 04. When Are the Representations Used-~.mp4 5.6 MB
  338. 05. Interaction with format()~.mp4 7.5 MB
  339. 06. reprlib~.mp4 5.6 MB
  340. 07. asciii(), ord(), and chr()~.mp4 3.5 MB
  341. 08. Duck Tail- Bigger Isn't Always Better~.mp4 7.0 MB
  342. 09. Summary~.mp4 7.6 MB
  343. 01. Reviewing int and float~.mp4 16.5 MB
  344. 02. The Decimal Module and the Decimal Type~.mp4 23.2 MB
  345. 03. Rational Numbers with the Fraction Type~.mp4 8.3 MB
  346. 04. The Complex Type and the cmath Module~.mp4 13.6 MB
  347. 05. Built-In Numeric Functions abs() and round()~.mp4 6.9 MB
  348. 06. Number Base Conversions~.mp4 4.4 MB
  349. 07. The datetime Module and date Type~.mp4 13.7 MB
  350. 08. The time Type~.mp4 4.9 MB
  351. 09. The datetime Type~.mp4 8.9 MB
  352. 10. Durations with the timedelta Type~.mp4 3.8 MB
  353. 11. Arithmetic with datetime~.mp4 2.1 MB
  354. 12. Time Zones~.mp4 8.9 MB
  355. 13. Duck Tail- Floating Point vs. Rational Numbers~.mp4 43.5 MB
  356. 14. Summary~.mp4 12.1 MB
  357. 01. Multi-Input Comprehensions~.mp4 8.7 MB
  358. 02. Nested Comprehensions~.mp4 3.8 MB
  359. 03. The map() Function~.mp4 7.2 MB
  360. 04. Multiple Input Sequences~.mp4 3.4 MB
  361. 05. map() Versus Comprehensions~.mp4 1.2 MB
  362. 06. The filter() Function~.mp4 3.8 MB
  363. 07. The functools.reduce() Function~.mp4 6.6 MB
  364. 08. Combining map() and reduce()~.mp4 4.6 MB
  365. 09. The Iteration Protocols~.mp4 4.9 MB
  366. 10. Putting the Protocols Together~.mp4 2.7 MB
  367. 11. Alternative Iterable Protocol~.mp4 2.3 MB
  368. 12. Extended iter() Format~.mp4 3.6 MB
  369. 13. Duck Tail- Iterator for Streamed Sensor Data~.mp4 5.3 MB
  370. 14. Summary~.mp4 6.9 MB
  371. 01. Inheritance Overview~.mp4 8.0 MB
  372. 02. A Realistic Example- SortedList~.mp4 5.4 MB
  373. 03. The Built-In isinstance() Function~.mp4 6.2 MB
  374. 04. The Built-In issubclass() Function~.mp4 1.9 MB
  375. 05. Multiple Inheritance~.mp4 7.5 MB
  376. 06. Details of Multiple Inheritance~.mp4 2.8 MB
  377. 07. Method Resolution Order~.mp4 9.9 MB
  378. 08. How Is Method Resolution Order Calculated-~.mp4 4.1 MB
  379. 09. The Built-In super() Function~.mp4 5.3 MB
  380. 10. Class-Bound Super Proxies~.mp4 6.0 MB
  381. 11. Instance-Bound Super Proxies~.mp4 4.5 MB
  382. 12. Calling super() Without Arguments~.mp4 2.0 MB
  383. 13. SortedIntList Explained~.mp4 4.4 MB
  384. 14. The Object Class~.mp4 5.3 MB
  385. 15. Duck Tail- Inheritance for Implementation Sharing~.mp4 5.0 MB
  386. 16. Summary~.mp4 14.2 MB
  387. 01. Collection Protocol Overview~.mp4 4.8 MB
  388. 02. Collection Construction~.mp4 14.4 MB
  389. 03. The Container Protocol~.mp4 9.3 MB
  390. 04. The Sized Protocol~.mp4 11.3 MB
  391. 05. The Iterable Protocol~.mp4 12.3 MB
  392. 06. The Sequence Protocol- Indexing~.mp4 12.4 MB
  393. 07. The Sequence Protocol- Slicing~.mp4 19.1 MB
  394. 08. Comprehensible Test Results With __repr__()~.mp4 8.2 MB
  395. 09. Implementing Equality and Inequality~.mp4 25.8 MB
  396. 10. The Sequence Protocol- Reversing~.mp4 7.5 MB
  397. 11. The Sequence Protocol- index()~.mp4 13.9 MB
  398. 12. The Sequence Protocol- count()~.mp4 4.6 MB
  399. 13. Improving Performance from O(N) to O(log n)~.mp4 28.0 MB
  400. 14. Refactoring to Avoid Don't Repeat Yourself (DRY)~.mp4 13.6 MB
  401. 15. Checking Protocol Implementations~.mp4 16.8 MB
  402. 16. The Sequence Protocol- Concatenation and Repetition~.mp4 31.9 MB
  403. 17. The Set Protocol~.mp4 30.2 MB
  404. 18. Duck Tail- Making a Mutable Set~.mp4 4.2 MB
  405. 19. Summary~.mp4 6.6 MB
  406. 01. Always Specify an Exception Type~.mp4 10.4 MB
  407. 02. The Standard Exception Hierarchy~.mp4 16.2 MB
  408. 03. Exception Payloads~.mp4 17.2 MB
  409. 04. Defining New Exceptions~.mp4 12.6 MB
  410. 05. Chaining Exceptions~.mp4 18.1 MB
  411. 06. Traceback Objects~.mp4 9.6 MB
  412. 07. Assertions- Internal Invariants~.mp4 10.0 MB
  413. 08. Assertions- Class Invariants~.mp4 7.2 MB
  414. 09. Assertions- Performance~.mp4 7.2 MB
  415. 10. Duck Tail- Preconditions and Postconditions~.mp4 27.6 MB
  416. 11. Summary~.mp4 5.6 MB
  417. 01. What Is a Context Manager-~.mp4 6.1 MB
  418. 02. The Context Manager Protocol~.mp4 4.4 MB
  419. 03. A First Context Manager Example~.mp4 8.5 MB
  420. 04. __enter__()~.mp4 2.0 MB
  421. 05. __exit__()~.mp4 3.9 MB
  422. 06. __exit__() and Exception Propagation~.mp4 5.3 MB
  423. 07. The with-statement Expansion~.mp4 2.2 MB
  424. 08. contextlib.contextmanager~.mp4 12.5 MB
  425. 09. Multiple Context Managers~.mp4 7.0 MB
  426. 10. Don't Pass a List!~.mp4 2.8 MB
  427. 11. Duck Tail- Context Managers for Transactions~.mp4 8.9 MB
  428. 12. Summary~.mp4 6.4 MB
  429. 01. Object Types in Depth~.mp4 7.1 MB
  430. 02. Introspecting Objects~.mp4 21.8 MB
  431. 03. Introspecting Scopes~.mp4 6.7 MB
  432. 04. The Python Standard Library Inspect Module~.mp4 20.6 MB
  433. Download - Lynda,Udemy,Skillshare,Teamtreehouse,Frontend Masters,Pluralsight,Phlearn,Coursera,Egghead,MasterClass.txt 170 bytes
  434. 06. Summary~.mp4 4.7 MB
  435. using-unit-testing-python~.zip 40.3 MB
  436. 01. Course Overview~.mp4 4.2 MB
  437. 01. What Is a Unit Test-~.mp4 3.9 MB
  438. 02. First Example Unit Test~.mp4 8.5 MB
  439. 03. Explanation of 'Test Case' and 'Test Runner'~.mp4 9.3 MB
  440. 04. Exception Checking with assertRaises & Explaination of 'Test Suite'~.mp4 5.0 MB
  441. 05. Skipping a Test Case & Explanation of 'Test Fixture'~.mp4 15.1 MB
  442. 06. Vocabulary Summary~.mp4 3.3 MB
  443. 07. Example of Poor Unit Test Design~.mp4 13.3 MB
  444. 08. Better Design with Arrange-Act-Assert~.mp4 12.7 MB
  445. 09. Detailed Design of Arrange-Act-Assert Test Parts~.mp4 15.1 MB
  446. 10. Module Summary~.mp4 1.0 MB
  447. 01. Introducing the Module Topics - Why and When~.mp4 2.1 MB
  448. 02. Unit Testing Helps You to Understand What to Build~.mp4 6.8 MB
  449. 03. Unit Testing Helps You to Document the Units~.mp4 5.4 MB
  450. 04. Unit Testing Helps You with Design~.mp4 12.1 MB
  451. 05. Unit Testing Helps You Detect Regression~.mp4 7.8 MB
  452. 06. Limitations of Unit Testing~.mp4 3.2 MB
  453. 07. Unit Testing Is Part of Your Job~.mp4 1.8 MB
  454. 08. Test-Last Process~.mp4 3.1 MB
  455. 09. Test-First Process~.mp4 5.3 MB
  456. 10. Test-Driven Development~.mp4 3.6 MB
  457. 11. Automated Build Servers and Continuous Integration~.mp4 6.3 MB
  458. 12. Module Summary~.mp4 910.7 KB
  459. 01. Introducing pytest - a Popular Alternative to unittest~.mp4 4.1 MB
  460. 02. First Test Case and Failure Analysis~.mp4 7.8 MB
  461. 03. Using PyCharm's Test Runner~.mp4 5.7 MB
  462. 04. Additional Kinds of Assertion, Including assertRaises~.mp4 9.6 MB
  463. 05. Introduction to Test Fixtures~.mp4 7.2 MB
  464. 06. Cleaning up Fixture Resources, Chaining Fixtures~.mp4 13.1 MB
  465. 07. Organzing Test Code for Larger Programs~.mp4 8.7 MB
  466. 08. Using Markers to Control Which Tests Are Run~.mp4 16.2 MB
  467. 09. Using an HTML Report Plugin & Module Summary~.mp4 3.3 MB
  468. 01. Introducing doctest - Embed Unit Tests in Your Docstrings.mp4 5.8 MB
  469. 02. Introduction to Yatzy Example & a First doctest~.mp4 5.6 MB
  470. 03. Using a Test Runner to Execute Your Doctests~.mp4 6.7 MB
  471. 04. Interpreting Test Failures and Updating Your Docstring~.mp4 5.9 MB
  472. 05. Handling Output That Varies Using a Wildcard~.mp4 14.5 MB
  473. 06. Handling Random Numbers, Dictionaries, Floats, and Tracebacks.mp4 12.1 MB
  474. 07. Global Options and Directives~.mp4 9.5 MB
  475. 08. Regression Testing Your Tutorial Documentation~.mp4 12.5 MB
  476. 09. Module Summary~.mp4 1.1 MB
  477. 01. What Is a Test Double-~.mp4 3.1 MB
  478. 02. Example Using a Stub~.mp4 8.2 MB
  479. 03. Creating a Stub Using unittest.Mock~.mp4 5.7 MB
  480. 04. Example Using a Fake~.mp4 9.8 MB
  481. 05. Example Using a Dummy~.mp4 6.6 MB
  482. 06. Mocks and Spies Give You a Third Kind of Assertion~.mp4 3.2 MB
  483. 07. Example Using a Spy~.mp4 17.4 MB
  484. 08. Example Using a Mock~.mp4 15.5 MB
  485. 09. Overview of All the Types of Test Double~.mp4 2.4 MB
  486. 10. Using Monkeypatching to Insert a Test Double~.mp4 9.4 MB
  487. 11. Example Using Monkeypatching to Replace a Built-in Function~.mp4 6.7 MB
  488. 12. Module Summary~.mp4 854.0 KB
  489. 01. Module Introduction~.mp4 655.8 KB
  490. 02. Example Using Parameterized Tests with pytest~.mp4 9.5 MB
  491. 03. Example Using Parameterized Tests with unittest~.mp4 7.3 MB
  492. 04. Example Measuring Test Coverage~.mp4 8.6 MB
  493. 05. Example Measuring Branch Coverage~.mp4 7.6 MB
  494. 06. Example Adding Parameterized Tests to Existing Code with Coverage.mp4 17.6 MB
  495. 07. Tracking Coverage Trends~.mp4 2.2 MB
  496. 08. Good Uses for Coverage, and Alternatives for Assessing Test Quality.mp4 3.3 MB
  497. 09. Module Summary~.mp4 725.3 KB
  498. Pluralsight - Advanced Python [AhLaN]~.jpg 189.5 KB
  499. Pluralsight - Full Stack Web Development with Python (WEB2PY) [AhLaN]~.jpg 189.5 KB
  500. Pluralsight - Managing Python Packages and Virtual Environments [AhLaN]~.jpg 834.4 KB
  501. Pluralsight - Python Best Practices for Code Quality [AhLaN]~.jpg 979.8 KB
  502. Pluralsight - Python – Beyond the Basics [AhLaN]~.jpg 80.5 KB
  503. Pluralsight - Unit Testing with Python [AhLaN]~.jpg 869.2 KB
  504. Post~.txt 19.2 KB
  505. advanced-generators-and-coroutines~.zip 8.3 MB
  506. 01. Course Overview~.mp4 3.2 MB
  507. 01. Just Give up the Next Item- Iteration~.mp4 8.9 MB
  508. 02. A Different Approach- Generators as Iterators.mp4 7.6 MB
  509. 03. When Performance Matters- Laziness vs. Eagerness.mp4 10.3 MB
  510. 04. Demo- Your First Generator~.mp4 16.6 MB
  511. 05. Summary~.mp4 1.5 MB
  512. 01. Much More Than Just Iteration- Pipeline Enabled Generators.mp4 15.4 MB
  513. 02. Why You Don’t Have to Remember All This- Itertools!.mp4 13.9 MB
  514. 03. Demo- All You Need Are Pipelines~.mp4 17.8 MB
  515. 04. Summary~.mp4 861.4 KB
  516. 01. Generators Counterpart- Coroutines~.mp4 7.8 MB
  517. 02. Expanding on Coroutines- Priming and Yielding.mp4 14.8 MB
  518. 03. Getting the Final State out of Generators- Returning Values.mp4 8.3 MB
  519. 04. Yield Data Model- Iter, Next, Send, Close, Throw, and Return.mp4 14.2 MB
  520. 05. Demo- The First Coroutine~.mp4 8.7 MB
  521. 06. Summary~.mp4 2.0 MB
  522. 01. Delegate That Task! Yield from Explained.mp4 23.2 MB
  523. 02. Flow That Data with Coroutines~.mp4 8.9 MB
  524. 03. From Pipelines to Concurrency- How Coroutines Changed the World.mp4 19.7 MB
  525. 04. Demo- Putting It All Together; Creating Your Own Event Loop!.mp4 19.5 MB
  526. 05. Summary~.mp4 3.1 MB
  527. core-python-classes-object-orientation~.zip 28.2 MB
  528. 01. Course Overview~.mp4 4.1 MB
  529. 01. Overview~.mp4 7.0 MB
  530. 02. Class Attributes~.mp4 17.7 MB
  531. 03. Static Methods~.mp4 7.5 MB
  532. 04. Class Methods~.mp4 20.2 MB
  533. 05. Static Methods with Inheritance~.mp4 14.2 MB
  534. 06. Class Methods with Inheritance~.mp4 20.1 MB
  535. 07. Properties~.mp4 27.5 MB
  536. 08. Properties and Inheritance~.mp4 31.8 MB
  537. 09. Overriding Properties with Template Methods.mp4 13.6 MB
  538. 10. Summary~.mp4 2.5 MB
  539. 01. Overview~.mp4 10.4 MB
  540. 02. Customizing repr()~.mp4 20.1 MB
  541. 03. Customizing str()~.mp4 14.6 MB
  542. 04. Customizing format()~.mp4 28.6 MB
  543. 05. Summary~.mp4 8.8 MB
  544. 01. Review- Single Inheritance~.mp4 11.0 MB
  545. 02. Type Inspection~.mp4 7.6 MB
  546. 03. Multiple Inheritance~.mp4 8.4 MB
  547. 04. Method Resolution Order~.mp4 9.7 MB
  548. 05. super()~.mp4 19.2 MB
  549. 06. Resolving the Mystery~.mp4 7.1 MB
  550. 07. Summary~.mp4 7.2 MB
  551. 01. Overview~.mp4 6.9 MB
  552. 02. Can We Synthesize a Method-~.mp4 7.1 MB
  553. 03. Making a Class Decorator~.mp4 25.6 MB
  554. 04. Class Decorator Factories~.mp4 29.7 MB
  555. 05. Summary~.mp4 2.5 MB
  556. 01. Data Classes~.mp4 5.1 MB
  557. 02. Defining Data Classes~.mp4 6.2 MB
  558. 03. Hash and Hashability~.mp4 5.0 MB
  559. 04. Dataclass Invariants~.mp4 9.8 MB
  560. 05. Summary~.mp4 5.0 MB
  561. core-python-functions-functional-programming~.zip 11.1 MB
  562. 01. Course Overview~.mp4 4.2 MB
  563. 01. Review of Functions~.mp4 7.5 MB
  564. 02. Callable Instances~.mp4 6.4 MB
  565. 03. Classes Are Callable~.mp4 4.7 MB
  566. 04. Lambdas~.mp4 8.8 MB
  567. 05. Summary~.mp4 1.6 MB
  568. 01. Extended Formal Argument Syntax~.mp4 6.1 MB
  569. 02. Keyword and Positional-only Arguments.mp4 8.2 MB
  570. 03. Extended Call Syntax~.mp4 4.7 MB
  571. 04. Summary~.mp4 1.0 MB
  572. 01. Local Functions~.mp4 9.7 MB
  573. 02. Closures and Nested Scopes~.mp4 4.1 MB
  574. 03. The Nonlocal Keyword~.mp4 8.2 MB
  575. 04. Summary~.mp4 1.3 MB
  576. 01. Function Decorators~.mp4 7.0 MB
  577. 02. What Can Be a Decorator-~.mp4 4.9 MB
  578. 03. Applying Multiple Decorators~.mp4 3.5 MB
  579. 04. Preserving Function Metadata~.mp4 4.8 MB
  580. 05. Parameterized Decorators~.mp4 6.0 MB
  581. 01. Map~.mp4 9.3 MB
  582. 02. Filter~.mp4 2.7 MB
  583. 03. Reduce~.mp4 3.9 MB
  584. 04. Combining the Tools~.mp4 4.4 MB
  585. 01. Multi-input Comprehensions~.mp4 6.0 MB
  586. 02. Nested Comprehensions~.mp4 4.3 MB
  587. getting-started-python-core~.zip 40.7 MB
  588. 01. Course Overview~.mp4 3.7 MB
  589. 01. Overview~.mp4 1.8 MB
  590. 02. Installing Python~.mp4 7.6 MB
  591. 03. Interactive Python~.mp4 4.0 MB
  592. 04. Significant Whitespace~.mp4 4.7 MB
  593. 05. Python Culture~.mp4 3.6 MB
  594. 06. The Python Standard Library~.mp4 8.0 MB
  595. 07. Summary~.mp4 2.2 MB
  596. 01. Overview~.mp4 5.6 MB
  597. 02. Relational Operators~.mp4 1.7 MB
  598. 03. Control Flow~.mp4 2.2 MB
  599. 04. While-loops~.mp4 4.8 MB
  600. 05. Summary~.mp4 1.8 MB
  601. 01. Overview~.mp4 1.2 MB
  602. 02. String~.mp4 2.4 MB
  603. 03. String Literals~.mp4 8.2 MB
  604. 04. Bytes~.mp4 2.7 MB
  605. 05. List~.mp4 1.9 MB
  606. 06. Dict~.mp4 1.7 MB
  607. 07. For-loop~.mp4 1.4 MB
  608. 08. Putting it all Together~.mp4 7.0 MB
  609. 09. Summary~.mp4 3.8 MB
  610. 01. Overview~.mp4 1.8 MB
  611. 02. Modules~.mp4 2.8 MB
  612. 03. Functions~.mp4 5.7 MB
  613. 04. __name__~.mp4 4.4 MB
  614. 05. The Python Execution Model~.mp4 2.5 MB
  615. 06. Command Line Arguments~.mp4 5.2 MB
  616. 07. Moment of Zen~.mp4 850.1 KB
  617. 08. Docstrings~.mp4 2.5 MB
  618. 09. Comments~.mp4 984.8 KB
  619. 10. Shebang~.mp4 2.1 MB
  620. 11. Summary~.mp4 3.6 MB
  621. 01. Overview~.mp4 7.9 MB
  622. 02. Passing Arguments and Returning Values~.mp4 4.6 MB
  623. 03. Function Arguments~.mp4 6.4 MB
  624. 04. Python's Type System~.mp4 1.4 MB
  625. 05. Scopes~.mp4 5.3 MB
  626. 06. Moment of Zen~.mp4 774.5 KB
  627. 07. Everything is an Object~.mp4 1.9 MB
  628. 08. Summary~.mp4 4.0 MB
  629. 01. Overview~.mp4 959.8 KB
  630. 02. Tuples~.mp4 5.2 MB
  631. 03. Strings~.mp4 10.9 MB
  632. 04. Ranges~.mp4 3.0 MB
  633. 05. Lists~.mp4 11.9 MB
  634. 06. Dictionaries~.mp4 9.0 MB
  635. 07. Sets~.mp4 7.9 MB
  636. 08. Protocols~.mp4 2.9 MB
  637. 09. Summary~.mp4 4.1 MB
  638. 01. Overview~.mp4 3.5 MB
  639. 02. Exceptions and Control Flow~.mp4 1.9 MB
  640. 03. Handling Exceptions~.mp4 3.4 MB
  641. 04. Exceptions and Programmer Errors~.mp4 3.2 MB
  642. 05. Re-raising Exceptions~.mp4 2.3 MB
  643. 06. Exceptions Are Part of the API~.mp4 5.8 MB
  644. 07. Exceptions and Protocols~.mp4 2.5 MB
  645. 08. Avoid Explicit Type Checks~.mp4 1.4 MB
  646. 09. It's Easier to Ask Forgiveness Than Permission~.mp4 4.0 MB
  647. 10. Cleanup Actions~.mp4 2.8 MB
  648. 11. Platform-Specific Code~.mp4 4.4 MB
  649. 12. Summary~.mp4 3.3 MB
  650. 01. Overview~.mp4 2.1 MB
  651. 02. List and Set Comprehensions~.mp4 3.6 MB
  652. 03. DIctionary Comprehensions~.mp4 2.9 MB
  653. 04. Filtering Comprehensions~.mp4 1.4 MB
  654. 05. Moment of Zen~.mp4 1.1 MB
  655. 06. Iteration Protocols~.mp4 3.7 MB
  656. 07. Generator Functions~.mp4 4.6 MB
  657. 08. Maintaining State in Generators~.mp4 3.9 MB
  658. 09. Laziness and the Infinite~.mp4 2.0 MB
  659. 10. Generator Expressions~.mp4 3.3 MB
  660. 11. Iteration Tools~.mp4 5.8 MB
  661. 12. Summary~.mp4 2.6 MB
  662. 01. Overview~.mp4 1.8 MB
  663. 02. Classes~.mp4 1.6 MB
  664. 03. Defining Classes~.mp4 2.4 MB
  665. 04. Instance Methods~.mp4 1.6 MB
  666. 05. Instance Initializers~.mp4 9.7 MB
  667. 06. A Second Class~.mp4 5.2 MB
  668. 07. Collaborating Classes~.mp4 3.4 MB
  669. 08. Moment of Zen~.mp4 834.6 KB
  670. 09. Booking Seats~.mp4 13.7 MB
  671. 10. Methods for Implementation Details~.mp4 7.3 MB
  672. 11. Object-Oriented Design with Function Objects~.mp4 6.8 MB
  673. 12. Polymorphism and Duck Typing~.mp4 7.8 MB
  674. 13. Inheritance and Implementation Sharing~.mp4 7.4 MB
  675. 14. Summary~.mp4 5.5 MB
  676. 01. Overview~.mp4 1.9 MB
  677. 02. Opening Files~.mp4 4.1 MB
  678. 03. Writing Text~.mp4 5.5 MB
  679. 04. Reading Text~.mp4 3.6 MB
  680. 05. Appending Text~.mp4 1.1 MB
  681. 06. Iterating over Files~.mp4 1.8 MB
  682. 07. Closing Files with Finally~.mp4 5.9 MB
  683. 08. With-blocks~.mp4 1.9 MB
  684. 09. Moment of Zen~.mp4 880.0 KB
  685. 10. Binary Files~.mp4 13.2 MB
  686. 11. Bitwise Operators~.mp4 1.3 MB
  687. 12. Pixel Data~.mp4 2.5 MB
  688. 13. Reading Binary Data~.mp4 3.1 MB
  689. 14. File-like Objects~.mp4 4.4 MB
  690. 15. Context Managers~.mp4 2.7 MB
  691. 16. Summary~.mp4 3.6 MB
  692. core-python-hashing-more-collections~.zip 5.3 MB
  693. 01. Course Overview~.mp4 3.3 MB
  694. 01. Introduction~.mp4 3.8 MB
  695. 02. Sequence Types~.mp4 2.7 MB
  696. 03. Demo- Sequence Types~.mp4 20.1 MB
  697. 04. Mapping Types~.mp4 2.0 MB
  698. 05. Demo- Mapping Types~.mp4 8.7 MB
  699. 06. Set and Summary~.mp4 2.6 MB
  700. 01. Introduction~.mp4 6.3 MB
  701. 02. Demo- Hashing~.mp4 17.4 MB
  702. 03. Collisions and Equality~.mp4 11.2 MB
  703. 04. Demo- Hashing and Equality~.mp4 9.4 MB
  704. 05. Demo- Hash Immutability~.mp4 4.6 MB
  705. 06. More on Immutability~.mp4 1.8 MB
  706. 07. Dataclass and Summary~.mp4 4.6 MB
  707. 01. Introduction~.mp4 2.5 MB
  708. 02. Demo- defaultdict~.mp4 17.7 MB
  709. 03. Counter + Demo~.mp4 39.2 MB
  710. 04. OrderedDict + Demo~.mp4 12.6 MB
  711. 05. Summary~.mp4 541.2 KB
  712. 01. Introduction~.mp4 10.1 MB
  713. 02. Demo- namedtuple~.mp4 13.4 MB
  714. 03. deque~.mp4 6.2 MB
  715. 04. Demo- deque~.mp4 8.3 MB
  716. 05. Summary~.mp4 756.3 KB
  717. core-python-implementing-iterators-iterables-collections~.zip 14.2 MB
  718. 01. Course Overview~.mp4 3.7 MB
  719. 01. Iterators and Iterables~.mp4 11.1 MB
  720. 02. Motivating Iterators- Tree Traversals.mp4 5.1 MB
  721. 03. Breath-first, Level-order Iterator.mp4 12.5 MB
  722. 04. Depth-first, Pre-order Iterator~.mp4 10.4 MB
  723. 05. Depth-first, In-order Iterator~.mp4 10.1 MB
  724. 06. Filtering Iterators~.mp4 11.6 MB
  725. 07. Transforming Iterators~.mp4 7.6 MB
  726. 08. Iterables~.mp4 10.1 MB
  727. 09. The Alternative Iterable Protocol.mp4 7.9 MB
  728. 10. The Extended iter() Form~.mp4 7.0 MB
  729. 11. Summary~.mp4 2.2 MB
  730. 01. Collection Protocols~.mp4 9.7 MB
  731. 01. The Construction Convention.mp4 13.9 MB
  732. 01. The Container Protocol~.mp4 15.7 MB
  733. 01. The Sized Protocol~.mp4 14.5 MB
  734. 01. The Iterable Protocol~.mp4 17.3 MB
  735. 01. The Sequence Protocol~.mp4 2.0 MB
  736. 02. Indexing~.mp4 7.9 MB
  737. 03. Slicing~.mp4 12.0 MB
  738. 04. String Representation~.mp4 9.3 MB
  739. 05. Value Equality~.mp4 12.7 MB
  740. 06. Value Inequality~.mp4 4.2 MB
  741. 07. The Hashable Protocol~.mp4 14.7 MB
  742. 08. Reversing a Sequence~.mp4 5.1 MB
  743. 09. The index() Method~.mp4 7.9 MB
  744. 10. The count() Method~.mp4 6.0 MB
  745. 11. The Extended Sequence Protocol~.mp4 21.7 MB
  746. 01. Refactoring for Performance.mp4 6.9 MB
  747. 02. Checking Performance~.mp4 29.4 MB
  748. 01. The Collection Abstract Base Classes.mp4 15.1 MB
  749. 01. The Set Protocol~.mp4 20.0 MB
  750. 02. Going Further- Mutability~.mp4 3.3 MB
  751. 03. Summary~.mp4 2.9 MB
  752. core-python-introspection~.zip 4.0 MB
  753. 01. Course Overview~.mp4 3.1 MB
  754. 01. Introspecting Types~.mp4 5.3 MB
  755. 01. Introspecting Objects~.mp4 5.8 MB
  756. 02. Example- Mixed Numerals~.mp4 2.6 MB
  757. 03. Summary~.mp4 1.6 MB
  758. 01. Introspecting Scopes~.mp4 6.5 MB
  759. 01. The Inspect Module~.mp4 13.7 MB
  760. 01. An Object Introspection Tool~.mp4 26.4 MB
  761. 02. Summary~.mp4 2.3 MB
  762. core-python-numeric-types-dates-times~.zip 8.6 MB
  763. 01. Course Overview~.mp4 3.1 MB
  764. 01. Review of int and float~.mp4 7.7 MB
  765. 01. Construction~.mp4 3.8 MB
  766. 02. Fractional Values, Precision, and Special Values~.mp4 3.8 MB
  767. 03. Combining with Other Types~.mp4 6.2 MB
  768. 04. Summary~.mp4 1.6 MB
  769. 01. Construction~.mp4 2.7 MB
  770. 02. Arithmetic and Operations~.mp4 3.7 MB
  771. 01. Construction~.mp4 3.6 MB
  772. 02. Operations~.mp4 1.7 MB
  773. 03. A Practical Example~.mp4 2.3 MB
  774. 01. Built-in Functions for Numbers~.mp4 3.8 MB
  775. 02. Base Conversions~.mp4 3.2 MB
  776. 01. The Datetime Module~.mp4 3.1 MB
  777. 02. Dates~.mp4 4.8 MB
  778. 03. Times~.mp4 1.7 MB
  779. 04. Combined Dates and Times~.mp4 5.0 MB
  780. 05. Durations~.mp4 2.2 MB
  781. 06. Timezones~.mp4 3.1 MB
  782. 07. Summary~.mp4 1.7 MB
  783. 01. Example Problem- Collinearity~.mp4 7.1 MB
  784. 02. Implementing with float and Fraction~.mp4 5.0 MB
  785. 03. Visualizing the Results~.mp4 4.8 MB
  786. core-python-organizing-larger-programs~.zip 4.0 MB
  787. 01. Course Overview~.mp4 3.4 MB
  788. 01. Prerequisites~.mp4 4.8 MB
  789. 02. Introduction to Packages~.mp4 2.6 MB
  790. 03. Locating Modules~.mp4 5.0 MB
  791. 04. Summary~.mp4 942.2 KB
  792. 01. Creating Packages~.mp4 7.0 MB
  793. 02. Creating a Subpackage~.mp4 9.5 MB
  794. 03. Relative Imports~.mp4 7.9 MB
  795. 04. Using __all__~.mp4 5.5 MB
  796. 01. Namespace Packages~.mp4 4.7 MB
  797. 02. Executable Directories~.mp4 3.9 MB
  798. 03. Executable Zip Files~.mp4 1008.9 KB
  799. 04. Executable Packages~.mp4 5.2 MB
  800. 01. Python Project Structure~.mp4 6.1 MB
  801. 02. A Concrete Example- demo_reader~.mp4 1.8 MB
  802. 03. Implementing Plugins with Namespace Packages~.mp4 6.6 MB
  803. 04. Implementing Plugins with setuptools~.mp4 5.8 MB
  804. 01. Source Distributions~.mp4 3.4 MB
  805. 02. Built Distributions~.mp4 3.3 MB
  806. 03. Uploading Packages to a Package Server~.mp4 6.1 MB
  807. 04. Summary~.mp4 1.4 MB
  808. core-python-robust-resource-error-handling~.zip 13.6 MB
  809. 01. Course Overview~.mp4 3.5 MB
  810. 01. Review~.mp4 6.7 MB
  811. 01. Exception Hierarchies~.mp4 12.3 MB
  812. 01. Exception Payloads~.mp4 9.4 MB
  813. 01. User-defined Exceptions~.mp4 7.7 MB
  814. 01. Implicit Chaining~.mp4 6.2 MB
  815. 02. Explicit Chaining~.mp4 5.9 MB
  816. 01. Tracebacks~.mp4 6.5 MB
  817. 01. Assertions and Invariants~.mp4 8.5 MB
  818. 02. Class Invariants~.mp4 4.0 MB
  819. 03. Assertions and Performance~.mp4 3.4 MB
  820. 04. Postconditions- A Practical Example~.mp4 17.0 MB
  821. 01. Introduction~.mp4 5.1 MB
  822. 02. The Context Manager Protocol~.mp4 10.1 MB
  823. 03. Implementing a Context Manager~.mp4 8.4 MB
  824. 04. Expansion of the With-statement~.mp4 3.0 MB
  825. 01. The Context Manager Decorator~.mp4 10.7 MB
  826. 01. Multiple Context Managers~.mp4 10.4 MB
  827. 01. Modeling Database Transactions.mp4 9.9 MB
  828. core-python-numeric-tower-conversion-operators~.zip 431.0 KB
  829. 01. Course Overview~.mp4 2.5 MB
  830. 01. Introduction~.mp4 3.2 MB
  831. 02. Built-in Types Jup~.mp4 7.7 MB
  832. 03. Decimals Jup~.mp4 7.2 MB
  833. 04. Fractions Jup~.mp4 9.6 MB
  834. 05. Integers~.mp4 2.9 MB
  835. 06. Integers Jup~.mp4 13.7 MB
  836. 07. Fractions~.mp4 6.9 MB
  837. 08. Cups Example Jup~.mp4 33.5 MB
  838. 09. Floats~.mp4 12.6 MB
  839. 10. Interest Jup~.mp4 39.4 MB
  840. 01. Example~.mp4 2.0 MB
  841. 02. Vector Jup~.mp4 19.5 MB
  842. python-big-picture~.zip 2.5 MB
  843. 01. Course Overview~.mp4 2.9 MB
  844. 01. Introduction~.mp4 1.2 MB
  845. 02. Getting the Most from This Course~.mp4 1.6 MB
  846. 03. What Is Python-~.mp4 5.4 MB
  847. 04. Why Should Developers Care-~.mp4 8.0 MB
  848. 05. What Makes Python Different-~.mp4 3.4 MB
  849. 06. Summary~.mp4 574.1 KB
  850. 01. Introduction~.mp4 1.1 MB
  851. 02. Linux Scripting and Administration~.mp4 29.4 MB
  852. 03. Web Development~.mp4 10.7 MB
  853. 04. Application Scripting~.mp4 16.2 MB
  854. 05. Data Science~.mp4 6.1 MB
  855. 06. Summary~.mp4 1.1 MB
  856. 01. Introduction~.mp4 1.3 MB
  857. 02. The Basics~.mp4 7.2 MB
  858. 03. Learning and Documentation~.mp4 6.9 MB
  859. 04. Working with the Code of Others~.mp4 6.6 MB
  860. 01. Introduction~.mp4 1.3 MB
  861. 02. Python 2 vs. Python 3~.mp4 3.6 MB
  862. 03. Executing Python Code~.mp4 32.6 MB
  863. 04. Summary~.mp4 2.2 MB
  864. Pluralsight - Advanced Generators and Coroutines [AhLaN]~.jpg 855.7 KB
  865. Pluralsight - Core Python- Classes and Object-orientation [AhLaN]~.jpg 774.5 KB
  866. Pluralsight - Core Python- Functions and Functional Programming [AhLaN]~.jpg 807.3 KB
  867. Pluralsight - Core Python- Getting Started [AhLaN]~.jpg 782.7 KB
  868. Pluralsight - Core Python- Hashing and More Collections [AhLaN]~.jpg 774.2 KB
  869. Pluralsight - Core Python- Implementing Iterators, Iterables and Collections [AhLaN]~.jpg 726.2 KB
  870. Pluralsight - Core Python- Introspection [AhLaN]~.jpg 915.3 KB
  871. Pluralsight - Core Python- Numeric Types, Dates, and Times [AhLaN]~.jpg 706.0 KB
  872. Pluralsight - Core Python- Organizing Larger Programs [AhLaN]~.jpg 1.1 MB
  873. Pluralsight - Core Python- Robust Resource and Error Handling [AhLaN]~.jpg 824.3 KB
  874. Pluralsight - Core Python- The Numeric Tower, Conversion, and Operators [AhLaN]~.jpg 936.5 KB
  875. Pluralsight - Python- The Big Picture [AhLaN]~.jpg 189.5 KB
  876. building-first-python-analytics-solution~.zip 2.6 MB
  877. 01. Course Overview~.mp4 4.0 MB
  878. 01. Module Overview~.mp4 2.1 MB
  879. 02. Prerequisites and Course Outline~.mp4 1.8 MB
  880. 03. Python for Data Analytics~.mp4 8.6 MB
  881. 04. Python Development Environments~.mp4 7.0 MB
  882. 05. Python Packages~.mp4 6.4 MB
  883. 06. Demo- Windows - Installing Python and Using Pip to Install Packages.mp4 8.3 MB
  884. 07. Demo- MacOS - Using Brew to Install Python 3.mp4 9.3 MB
  885. 08. Demo- MacOS - Using Pip to Install Packages.mp4 7.7 MB
  886. 09. Demo- Installing and Working with Virtual Environments.mp4 7.3 MB
  887. 10. Demo- Editing a Python Script Using Nano and Vim.mp4 5.4 MB
  888. 11. Demo- Editing a Python Script Using SublimeText.mp4 6.7 MB
  889. 12. Demo- Using Online Editors to Write Python Code.mp4 7.0 MB
  890. 13. Module Summary~.mp4 2.3 MB
  891. 01. Module Overview~.mp4 2.1 MB
  892. 02. Introducing Jupyter Notebooks~.mp4 5.1 MB
  893. 03. Demo- Windows Installing Anaconda and Running Jupyter Notebooks.mp4 6.7 MB
  894. 04. Demo- Mac OS Installing Anaconda and Running Jupyter Notebooks.mp4 13.2 MB
  895. 05. Demo- Installing the Python 2 Kernel along with Python 3.mp4 8.5 MB
  896. 06. Demo- Executing Code in Jupyter~.mp4 6.6 MB
  897. 07. Demo- Restarting and Switching Kernels~.mp4 9.6 MB
  898. 08. Demo- Exploring Magic Commands~.mp4 9.8 MB
  899. 09. Demo- Line Magic and Cell Magic Commands.mp4 8.1 MB
  900. 10. Demo- Exploring Interactive Widgets~.mp4 8.8 MB
  901. 11. Demo- Wrangling and Visualizing Data~.mp4 10.4 MB
  902. 12. Module Summary~.mp4 2.2 MB
  903. 01. Module Overview~.mp4 2.7 MB
  904. 02. Exploring Popular IDEs for Python~.mp4 3.7 MB
  905. 03. Demo- Installing and Setting up IDLE~.mp4 11.2 MB
  906. 04. Demo- Running and Debugging Code with IDLE.mp4 15.7 MB
  907. 05. Demo- Installing Eclipse and Setting up the PyDev Plugin.mp4 13.3 MB
  908. 06. Demo- Running and Debugging Code with Eclipse.mp4 18.4 MB
  909. 07. Demo- Installing and Setting up PyCharm.mp4 11.4 MB
  910. 08. Demo- Running and Debugging Code with PyCharm.mp4 18.4 MB
  911. 09. Demo- Working with Spyder~.mp4 18.3 MB
  912. 10. Module Summary~.mp4 2.0 MB
  913. 01. Module Overview~.mp4 2.4 MB
  914. 02. Jupyter on the Cloud~.mp4 5.6 MB
  915. 03. Demo- Getting Started with Azure Notebooks.mp4 9.3 MB
  916. 04. Demo- Analyzing and Visualizing Data on Azure Notebooks.mp4 17.9 MB
  917. 05. Demo- Setting up and Connecting to Cloud Datalab on the GCP.mp4 14.5 MB
  918. 06. Demo- Building a Simple Regression Model on Datalab.mp4 11.8 MB
  919. 07. Demo- Setting up a SageMaker Notebook Instance on AWS.mp4 11.0 MB
  920. 08. Demo- Executing Code to Integrate with S3 Buckets.mp4 12.0 MB
  921. 09. Summary and Further Study~.mp4 2.5 MB
  922. cleaning-data-python-data-playbook~.zip 4.8 MB
  923. 01. Course Overview~.mp4 4.2 MB
  924. 01. Introduction~.mp4 3.5 MB
  925. 02. Viewing and Converting Types~.mp4 9.9 MB
  926. 03. Aggregating Data~.mp4 8.8 MB
  927. 04. Normalizing Data~.mp4 8.1 MB
  928. 05. Transforming Data~.mp4 8.3 MB
  929. 06. Filtering Data~.mp4 7.0 MB
  930. 07. Review~.mp4 2.0 MB
  931. 01. Introduction~.mp4 2.7 MB
  932. 02. Dropping Columns~.mp4 11.1 MB
  933. 03. Changing Column Casing~.mp4 5.9 MB
  934. 04. Renaming Columns~.mp4 10.3 MB
  935. 05. Review~.mp4 2.2 MB
  936. 01. Introduction~.mp4 1.6 MB
  937. 02. Direct Filtering with Square Brackets~.mp4 9.3 MB
  938. 03. Data Indexing with .loc~.mp4 8.6 MB
  939. 04. Using .iloc to Access Specific Rows or Columns~.mp4 9.9 MB
  940. 05. Filtering Data with str.contains~.mp4 12.6 MB
  941. 06. Review~.mp4 2.5 MB
  942. 01. Introduction~.mp4 2.3 MB
  943. 02. Stripping White Space~.mp4 6.1 MB
  944. 03. Replacing Bad Data with NaN~.mp4 13.0 MB
  945. 04. Filling Missing Data with a Value~.mp4 5.4 MB
  946. 05. Dropping Rows of Data~.mp4 9.3 MB
  947. 06. Identifying and Dropping Duplicate Data~.mp4 15.1 MB
  948. 07. Review~.mp4 3.0 MB
  949. create-share-analytics-jupyter-notebooks~.zip 11.1 MB
  950. 01. Course Overview~.mp4 4.6 MB
  951. 01. Module Overview~.mp4 2.2 MB
  952. 02. Prerequisites and Course Outline.mp4 2.0 MB
  953. 03. Introducing Jupyter Notebooks~.mp4 8.9 MB
  954. 04. Demo- Windows - Installing Anaconda and Jupyter Notebooks.mp4 11.9 MB
  955. 05. Demo- Windows - Installing Jupyter Notebooks Using Pip.mp4 10.8 MB
  956. 06. Demo- MacOS - Installing Anaconda and Jupyter Notebooks.mp4 14.8 MB
  957. 07. Demo- MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Installer.mp4 13.6 MB
  958. 08. Demo- Running Jupyter Notebooks and Jupyter Lab in Docker Containers.mp4 9.7 MB
  959. 09. Demo- MacOS - Installing Jupyter Lab Using Pip.mp4 12.8 MB
  960. 10. Module Summary~.mp4 2.0 MB
  961. 01. Module Overview~.mp4 2.1 MB
  962. 02. Demo- Exploring the Notebook Interface~.mp4 12.2 MB
  963. 03. Demo- Restarting the Kernel~.mp4 8.9 MB
  964. 04. Demo- Customizing Shortcuts~.mp4 9.5 MB
  965. 05. Demo- Notebook Limits and Shutting down Kernels.mp4 9.3 MB
  966. 06. Demo- Using Python 2 and Python 3 Kernels.mp4 10.3 MB
  967. 07. Demo- Using R and Python 3 Kernels~.mp4 5.4 MB
  968. 08. Demo- Exploring Line and Cell Magic Commands.mp4 15.6 MB
  969. 09. Module Summary~.mp4 2.2 MB
  970. 01. Module Overview~.mp4 2.1 MB
  971. 02. Demo- Analyzing and Visualizing Data.mp4 14.8 MB
  972. 03. Demo- Exploring Interactive Widgets.mp4 14.8 MB
  973. 04. Demo- Adding Interactivity to Custom Functions.mp4 14.2 MB
  974. 05. Demo- Save, Checkpoint, and Export Notebooks.mp4 4.1 MB
  975. 06. Demo- Share Notebooks on Github.mp4 14.9 MB
  976. 07. Module Summary~.mp4 2.3 MB
  977. 01. Module Overview~.mp4 3.2 MB
  978. 02. Running Hosted Jupyter Notebooks on the Cloud.mp4 5.9 MB
  979. 03. Demo- Creating and Working with Notebook Instances on Amazon SageMaker.mp4 13.4 MB
  980. 04. Demo- Uploading Notebooks to SageMaker and Using the Terminal Window.mp4 8.6 MB
  981. 05. Demo- Exploring and Working with Azure Notebooks.mp4 9.9 MB
  982. 06. Demo- Hosted Notebooks on a GCP Deep Learning Virtual Machine.mp4 10.9 MB
  983. 07. Demo- Uploading Files and Running Code on GCP.mp4 7.8 MB
  984. 08. Summary and Further Study~.mp4 2.4 MB
  985. data-wrangling-python~.zip 3.3 MB
  986. 01. Course Overview~.mp4 3.1 MB
  987. 01. Course and Module Introduction~.mp4 2.7 MB
  988. 02. Software and Course Prerequisites~.mp4 2.0 MB
  989. 03. Concatenating Datasets~.mp4 11.5 MB
  990. 04. Merging Datasets~.mp4 7.0 MB
  991. 05. Merge Keys~.mp4 4.9 MB
  992. 06. The How Parameter~.mp4 5.2 MB
  993. 07. Demo- Disambiguating Merged Columns and Updating Dataframes.mp4 3.3 MB
  994. 08. Summary~.mp4 2.3 MB
  995. 01. Module Introduction~.mp4 1.2 MB
  996. 02. The GroupBy Function~.mp4 3.3 MB
  997. 03. Demo- Why and How to Use the GroupBy Function~.mp4 8.6 MB
  998. 04. Filter and Transform with GroupBy~.mp4 5.5 MB
  999. 05. Demo- Grouping Multi-index Data~.mp4 4.4 MB
  1000. 01. Module Introduction~.mp4 1.7 MB
  1001. 02. Normalizing Data - What and Why~.mp4 3.1 MB
  1002. 03. Simple Feature Scaling~.mp4 3.5 MB
  1003. 04. Min-max Scaling~.mp4 3.4 MB
  1004. 05. Z-score Normalization~.mp4 3.6 MB
  1005. 06. Points to Consider for Data Normalization and Summary~.mp4 3.6 MB
  1006. 01. Module Introduction~.mp4 1.4 MB
  1007. 02. Introduction to Data Reshaping~.mp4 3.7 MB
  1008. 03. Reshape Long Data to Wide Data with the Pivot Function~.mp4 6.1 MB
  1009. 04. Reshape Wide Data to Long Using the Melt Function~.mp4 3.6 MB
  1010. 05. Reshape Data Using the Stack and Unstack Functions~.mp4 4.1 MB
  1011. 06. Reshaping and Aggregation with Pivot Table~.mp4 3.5 MB
  1012. 07. Summary~.mp4 1020.9 KB
  1013. 01. Module Introduction~.mp4 1.6 MB
  1014. 02. One-hot Encoding~.mp4 3.7 MB
  1015. 03. Demo- Convert Categorical Values Using One-hot Encoding~.mp4 6.1 MB
  1016. 04. Create Dummy Variables with Pandas~.mp4 4.9 MB
  1017. 05. Create Frequency Table with the Crosstab Function~.mp4 7.9 MB
  1018. 06. Summary and Feedback~.mp4 1.8 MB
  1019. python-importing-data-playbook~.zip 18.3 MB
  1020. 01. Course Overview~.mp4 4.4 MB
  1021. 01. Importing Text Data into Python Using NumPy.mp4 15.3 MB
  1022. 02. Importing Flat Files and Numeric Data Using NumPy.mp4 17.0 MB
  1023. 01. Importing CSV Data into Python Using csv and pandas.mp4 1.5 MB
  1024. 02. Importing CSV Files Using the Python csv Module.mp4 17.4 MB
  1025. 03. Importing Text and CSV Files Using pandas.mp4 36.2 MB
  1026. 01. Importing Data into Python from JSON and XML Files.mp4 2.6 MB
  1027. 02. Importing Data into Python from JSON Using the JSON Library.mp4 39.4 MB
  1028. 03. Importing Data into Python from XML Using the ElementTree XML API.mp4 17.7 MB
  1029. 01. Importing Data into Python from Excel Files.mp4 1.8 MB
  1030. 02. Importing Excel Files Using pandas~.mp4 22.4 MB
  1031. 01. Importing Data into Python from Common Binary Data File Formats.mp4 1.1 MB
  1032. 02. Reading SAS Files with pandas.mp4 6.6 MB
  1033. 03. Reading Stata Files with pandas.mp4 5.2 MB
  1034. 04. Reading HDF5 Files~.mp4 6.5 MB
  1035. 05. Reading Matlab Files~.mp4 3.1 MB
  1036. 06. Reading Pickle Files~.mp4 7.1 MB
  1037. 01. Importing Data into Python from Relational Databases.mp4 1.8 MB
  1038. 02. Importing sqlite Database Files~.mp4 8.6 MB
  1039. 03. Taking Advantage of pandas DataFrames When Querying sqlite.mp4 3.4 MB
  1040. 04. Working with Databases Using SQLAlchemy.mp4 8.1 MB
  1041. 05. Importing Data from Relational Databases with pandas (MySQL).mp4 8.5 MB
  1042. 06. Working with PostgreSQL with psycopg2 and SQLAlchemy.mp4 3.8 MB
  1043. 07. Importing Relational Data~.mp4 4.7 MB
  1044. leveraging-online-resources-python-analytics~.zip 3.3 MB
  1045. 01. Course Overview~.mp4 3.7 MB
  1046. 01. Module Overview~.mp4 1.8 MB
  1047. 02. Prerequisites and Course Outline~.mp4 1.7 MB
  1048. 03. Python for Data Analysts~.mp4 9.4 MB
  1049. 04. Python Resources for Analysts~.mp4 6.8 MB
  1050. 05. Demo- Exploring Online Resources~.mp4 24.2 MB
  1051. 06. Workflows in Data Analytics~.mp4 7.5 MB
  1052. 07. Demo- Cleaning Data~.mp4 11.1 MB
  1053. 08. Demo- Summary Statistics and Basic Analysis.mp4 4.9 MB
  1054. 09. Demo- Visualizing Relationships in Data.mp4 9.6 MB
  1055. 10. Demo- Sharing Visualizations Online Using Plotly.mp4 12.6 MB
  1056. 11. Demo- Prototyping a Classifier~.mp4 5.6 MB
  1057. 12. Demo- Writing a Python Script for a Classification Model.mp4 15.2 MB
  1058. 13. Module Summary~.mp4 1.8 MB
  1059. 01. Module Overview.mp4 2.0 MB
  1060. 02. Introducing Big ML.mp4 3.9 MB
  1061. 03. Demo- Getting Started with Big ML.mp4 3.4 MB
  1062. 04. Demo- Configuring Data Sources and Creating Datasets.mp4 21.4 MB
  1063. 05. Demo- Data Preparation and Visualization.mp4 15.2 MB
  1064. 06. Demo- Splitting into Training and Test Subsets.mp4 4.9 MB
  1065. 07. Demo- Building Models.mp4 12.3 MB
  1066. 08. Demo- Evaluating Models.mp4 4.5 MB
  1067. 09. Demo- Batch and Individual Predictions.mp4 14.1 MB
  1068. 10. Demo- Clustering.mp4 11.8 MB
  1069. 11. Demo- Anomaly Detection.mp4 8.0 MB
  1070. 12. Module Summary.mp4 2.0 MB
  1071. 01. Module Overview~.mp4 2.0 MB
  1072. 02. Introducing Google Colab.mp4 2.8 MB
  1073. 03. Demo- Introducing the Google Colab Interface.mp4 8.6 MB
  1074. 04. Demo- Colab Notebooks—Similar yet Different.mp4 4.5 MB
  1075. 05. Demo- Interactive Forms.mp4 9.6 MB
  1076. 06. Demo- Accessing Google Drive Contents from Colab.mp4 5.0 MB
  1077. 07. Demo- Widgets~.mp4 10.6 MB
  1078. 08. Demo- Building a Regression Model.mp4 11.7 MB
  1079. 09. Demo- Integrating with Github.mp4 5.9 MB
  1080. 10. Summary and Further Study.mp4 2.4 MB
  1081. python-programming-using-ide~.zip 9.0 MB
  1082. 01. Course Overview~.mp4 4.3 MB
  1083. 01. Programming Python Using an IDE! But Why- And Which One-.mp4 18.7 MB
  1084. 02. Code Editors vs. Integrated Development Environments.mp4 3.4 MB
  1085. 03. Overview of Available Code Editors for Python.mp4 28.9 MB
  1086. 04. Configuring Python Features for Specific Code Editors.mp4 29.7 MB
  1087. 05. Takeaway~.mp4 2.7 MB
  1088. 01. Improving Your Productivity Programming in Python with an IDE.mp4 21.4 MB
  1089. 02. Customizing IDEs~.mp4 22.8 MB
  1090. 03. Features That Improve Productivity Coding with an IDE.mp4 19.7 MB
  1091. 04. Organizing, Navigating, Refactoring, and Styling Code.mp4 31.6 MB
  1092. 05. Running and Debugging Python Code with an IDE.mp4 26.3 MB
  1093. 06. Integrating with Version Control Using an IDE.mp4 25.8 MB
  1094. 07. Working with Databases in Python Using an IDE.mp4 7.9 MB
  1095. 08. Unit Testing with an IDE~.mp4 7.6 MB
  1096. 09. Takeaway~.mp4 3.8 MB
  1097. 01. Leveraging a Python IDE for Data Science~.mp4 4.2 MB
  1098. 02. Leveraging Data Science and Scientific Tools in PyCharm.mp4 5.4 MB
  1099. 03. Working with an IDE Built for Scientific Python- Spyder.mp4 4.9 MB
  1100. 04. Using Jupyter Notebook for Data Science~.mp4 8.1 MB
  1101. 05. Using Apache Zeppelin for Data Science~.mp4 4.8 MB
  1102. 06. Cloudera Data Science Workbench for Data Science at Scale.mp4 10.3 MB
  1103. 07. Takeaway~.mp4 1.7 MB
  1104. 01. Final Takeaway~.mp4 3.0 MB
  1105. pygal-python-data-playbook~.zip 5.5 MB
  1106. 01. Course Overview~.mp4 4.2 MB
  1107. 01. Overview~.mp4 2.2 MB
  1108. 02. Introducing Pygal~.mp4 5.1 MB
  1109. 03. Vector and Raster Images~.mp4 7.8 MB
  1110. 04. The SVG Format~.mp4 4.5 MB
  1111. 05. Install Pygal~.mp4 8.3 MB
  1112. 06. Interacting with Pygal Charts~.mp4 11.3 MB
  1113. 07. Plot Data from a CSV File~.mp4 12.0 MB
  1114. 08. Stacked Bar Charts~.mp4 7.6 MB
  1115. 01. Overview~.mp4 2.1 MB
  1116. 02. Construct a Basic Pie Chart~.mp4 11.8 MB
  1117. 03. Donut and Half Pie Charts~.mp4 8.9 MB
  1118. 04. Chart, Serie, and Value Configurations~.mp4 11.2 MB
  1119. 05. Defining Styles and Configs~.mp4 10.7 MB
  1120. 06. Introducing Line and Datetimeline Charts~.mp4 10.2 MB
  1121. 07. Plotting Real Data with Line and Dateline Charts~.mp4 9.4 MB
  1122. 08. Introducing XY Plots~.mp4 6.8 MB
  1123. 09. Exploring Real Data with XY Plots~.mp4 12.8 MB
  1124. 10. Summary~.mp4 1020.5 KB
  1125. 01. Overview~.mp4 923.3 KB
  1126. 02. Plotting Histograms~.mp4 7.1 MB
  1127. 03. Pyramid Charts~.mp4 8.4 MB
  1128. 04. Visualizing Distributions with Box Plots~.mp4 11.4 MB
  1129. 05. Constructing a Map Visualization~.mp4 12.8 MB
  1130. 06. Generating Radar Plots~.mp4 13.1 MB
  1131. 07. Constructing a Funnel Visualization~.mp4 7.9 MB
  1132. 08. Creating Gauge Plots~.mp4 10.2 MB
  1133. 09. Solid Gauge Plots~.mp4 7.0 MB
  1134. 10. Constructing a Dot Plot~.mp4 12.8 MB
  1135. 11. Representing Negative Values in a Dot Plot~.mp4 4.3 MB
  1136. 12. Building a Treemap Visualization~.mp4 11.2 MB
  1137. 13. Summary~.mp4 730.0 KB
  1138. 01. Overview~.mp4 1.2 MB
  1139. 02. Rendering Charts to Image Files~.mp4 15.5 MB
  1140. 03. Rendering Charts to Specialized Formats~.mp4 15.8 MB
  1141. 04. PyQuery and Pygal~.mp4 12.8 MB
  1142. 05. Building Sparklines~.mp4 5.4 MB
  1143. 06. Building a Flask App to Render Pygal Charts~.mp4 10.6 MB
  1144. 07. Testing the Flask App~.mp4 3.3 MB
  1145. 08. Summary~.mp4 2.2 MB
  1146. python-data-analysts~.zip 2.4 MB
  1147. 01. Course Overview~.mp4 3.3 MB
  1148. 01. Module Overview~.mp4 1.8 MB
  1149. 02. Prerequisites and Course Outline~.mp4 1.7 MB
  1150. 03. Python for Data Analysts~.mp4 4.5 MB
  1151. 04. Essential Analytical Building Blocks~.mp4 7.4 MB
  1152. 05. Demo- Installing Anaconda Python on MacOS~.mp4 9.1 MB
  1153. 06. Demo- Installing Anaconda Python on Windows~.mp4 8.9 MB
  1154. 07. Demo- Simple Expressions~.mp4 11.0 MB
  1155. 08. Demo- Logical Operations~.mp4 8.5 MB
  1156. 09. Demo- Variables~.mp4 9.9 MB
  1157. 10. Demo- Basic Types and Type Conversions~.mp4 7.5 MB
  1158. 11. Demo- Simple Strings and Multi-line Strings~.mp4 6.5 MB
  1159. 12. Module Summary~.mp4 1.8 MB
  1160. 01. Module Overview~.mp4 2.0 MB
  1161. 02. Demo- Introducing Built-in Functions~.mp4 11.5 MB
  1162. 03. Demo- String Functions, Return Values, and Nested Function Invocations.mp4 10.9 MB
  1163. 04. Demo- Introducing Lists~.mp4 8.9 MB
  1164. 05. Demo- List Slicing Operations and List Functions.mp4 7.8 MB
  1165. 06. Demo- Concatenating and Copying Lists~.mp4 4.4 MB
  1166. 07. Demo- Introducing Tuples~.mp4 7.4 MB
  1167. 08. Demo- Introducing Dictionaries~.mp4 10.2 MB
  1168. 09. Module Summary~.mp4 2.0 MB
  1169. 01. Module Overview~.mp4 2.1 MB
  1170. 02. Transactional and Analytical Processing~.mp4 8.0 MB
  1171. 03. Demo- If Statements for Conditional Branching.mp4 7.9 MB
  1172. 04. Demo- If Else Statements~.mp4 12.0 MB
  1173. 05. Demo- Using if with Lists and Dictionary Elements.mp4 5.3 MB
  1174. 06. Demo- If-elif for Multiple Conditional Checks.mp4 6.3 MB
  1175. 07. Demo- Iterating over List Elements Using a For Loop.mp4 8.1 MB
  1176. 08. Demo- Using For Loops with the Range Function.mp4 5.2 MB
  1177. 09. Demo- Iterating over Dictionary Elements Using a For Loop.mp4 3.9 MB
  1178. 10. Demo- Conditional Looping Using While Loops.mp4 14.1 MB
  1179. 11. Demo- Break~.mp4 7.6 MB
  1180. 12. Demo- Continue and Pass~.mp4 7.3 MB
  1181. 13. Module Summary~.mp4 1.9 MB
  1182. 01. Module Overview~.mp4 2.2 MB
  1183. 02. Demo- Defining and Invoking Custom Functions~.mp4 12.8 MB
  1184. 03. Demo- Passing Input Arguments to Functions~.mp4 5.5 MB
  1185. 04. Demo- Returning Values from Functions~.mp4 9.8 MB
  1186. 05. Demo- Reassignment of Variables within Functions.mp4 13.1 MB
  1187. 06. Demo- Modification of Complex Types within Functions.mp4 6.8 MB
  1188. 07. Demo- Invoking Functions with Keyword Arguments.mp4 10.6 MB
  1189. 08. Demo- Assigning Default Values for Input Arguments.mp4 5.5 MB
  1190. 09. Demo- First Class Functions~.mp4 12.1 MB
  1191. 10. Module Summary~.mp4 2.0 MB
  1192. 01. Module Overview~.mp4 1.9 MB
  1193. 02. Demo- Working with the Math Module~.mp4 5.2 MB
  1194. 03. Demo- Introducing NumPy~.mp4 7.9 MB
  1195. 04. Demo- Introducing Pandas~.mp4 4.5 MB
  1196. 05. Demo- Working with the Command Line Processes and Environment Variables.mp4 16.3 MB
  1197. 06. Demo- Reading the Contents of a File~.mp4 8.8 MB
  1198. 07. Demo- Overwriting and Appending Content to a File~.mp4 10.0 MB
  1199. 08. Demo- Working with CSV and JSON Files~.mp4 8.4 MB
  1200. 09. Module Summary~.mp4 2.5 MB
  1201. python-sqlalchemy-playbook-understanding-databases~.zip 8.8 MB
  1202. 01. Course Overview~.mp4 3.5 MB
  1203. 01. Up and Running with SQLAlchemy.mp4 3.8 MB
  1204. 02. Installing and Importing SQLAlchemy.mp4 5.8 MB
  1205. 03. Loading Data Using SQLAlchemy.mp4 6.6 MB
  1206. 04. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.mp4 4.2 MB
  1207. 05. Visualizing and Graphing Data with Matplotlib.mp4 5.4 MB
  1208. 06. Takeaway~.mp4 1.4 MB
  1209. 01. Querying with SQLAlchemy~.mp4 1.6 MB
  1210. 02. Picking a Database~.mp4 5.4 MB
  1211. 03. Connecting to Databases- Connectors and the Connection String.mp4 5.9 MB
  1212. 04. Querying with SQL~.mp4 2.2 MB
  1213. 05. Object-relational Mapper (ORM) and Classical Mapping.mp4 5.6 MB
  1214. 06. The Declarative API~.mp4 10.9 MB
  1215. 07. More Querying and Database Functions.mp4 12.0 MB
  1216. 08. Using Joins~.mp4 2.1 MB
  1217. 09. Working with Hierarchical Tables~.mp4 3.4 MB
  1218. 10. Takeaway~.mp4 1.9 MB
  1219. 01. Creating Databases with SQLAlchemy~.mp4 1.5 MB
  1220. 02. Creating Databases~.mp4 3.2 MB
  1221. 03. Creating Tables~.mp4 4.9 MB
  1222. 04. Primary Keys, Constraints, and Data Defaults.mp4 9.4 MB
  1223. 05. Inserting Data- Single and Multiple Rows.mp4 6.1 MB
  1224. 06. Loading a CSV into a Table~.mp4 2.8 MB
  1225. 07. Takeaway~.mp4 1.3 MB
  1226. 01. Manipulating Databases with SQLAlchemy.mp4 1.2 MB
  1227. 02. Updating Data in a Database~.mp4 6.6 MB
  1228. 03. Correlated Updates~.mp4 1.7 MB
  1229. 04. Deleting Data from a Database~.mp4 3.4 MB
  1230. 05. Deleting Tables~.mp4 2.0 MB
  1231. 06. Takeaway~.mp4 1.4 MB
  1232. 01. Final Takeaway~.mp4 2.9 MB
  1233. web-scraping-python-data-playbook~.zip 1.9 MB
  1234. 01. Course Overview~.mp4 3.9 MB
  1235. 01. General Strategies for Scraping Web Pages~.mp4 3.4 MB
  1236. 02. Reviewing Our Target Auto-MPG Web Page~.mp4 11.6 MB
  1237. 03. The Complicated Difference between Dynamic and Static Web Pages.mp4 6.0 MB
  1238. 01. A Primer on HTML and CSS~.mp4 4.8 MB
  1239. 02. Understanding the HTML, CSS and Structure of Our Target Page.mp4 12.7 MB
  1240. 03. Coming up with a Strategy for a More Complicated Web Page.mp4 8.1 MB
  1241. 04. Using BeautifulSoup4 to Navigate Our Scraped Data~.mp4 15.6 MB
  1242. 05. Extracting Information from a Scraped Division~.mp4 9.2 MB
  1243. 06. Using Selectors as an Alternative to the Find Method~.mp4 6.1 MB
  1244. 07. Advice and Strategy for Scraping~.mp4 2.0 MB
  1245. 08. Building the Scraper Module Using PyCharm~.mp4 14.7 MB
  1246. 09. Dealing with Missing Data during the Scrape~.mp4 9.3 MB
  1247. 10. Refactoring Our Code and Caching Our Scraped Data~.mp4 9.8 MB
  1248. 11. Adding a Test to Verify Our Regular Expression Processing.mp4 14.0 MB
  1249. 01. Exporting Scraped Data to a CSV File~.mp4 7.8 MB
  1250. 02. Getting a Data Overview with Pandas~.mp4 6.4 MB
  1251. 03. Exploratory Data Analysis Strategy~.mp4 8.3 MB
  1252. 04. Reviewing Our Hypothesis~.mp4 6.4 MB
  1253. 05. Investigating Relationships between MPG and Weight~.mp4 7.4 MB
  1254. 06. Understanding How Cylinders and Displacement Are Related~.mp4 3.7 MB
  1255. 07. Looking at MPG over the Years~.mp4 3.7 MB
  1256. 08. Understanding Brands and Territories with Text Processing~.mp4 4.0 MB
  1257. 09. Telling a Data Story to Explain Our Discoveries~.mp4 6.2 MB
  1258. Building Your First Python Analytics Solution [AhLaN]~.jpg 1.2 MB
  1259. Cleaning Data- Python Data Playbook [AhLaN]~.jpg 1.1 MB
  1260. Create and Share Analytics with Jupyter Notebooks [AhLaN]~.jpg 834.8 KB
  1261. Data Wrangling with Python [AhLaN]~.jpg 1.1 MB
  1262. Importing Data- Python Data Playbook [AhLaN]~.jpg 834.4 KB
  1263. Leveraging Online Resources for Python Analytics [AhLaN]~.jpg 469.7 KB
  1264. Programming Python Using an IDE [AhLaN]~.jpg 799.0 KB
  1265. Pygal- Python Data Playbook [AhLaN]~.jpg 820.6 KB
  1266. Python for Data Analysts [AhLaN]~.jpg 924.4 KB
  1267. Understanding Databases with SQLAlchemy- Python Data Playbook [AhLaN]~.jpg 1.1 MB
  1268. Web Scraping- Python Data Playbook [AhLaN]~.jpg 1.1 MB
  1269. advanced-web-scraping-tactics-python-playbook~.zip 879.9 KB
  1270. 01. Course Overview~.mp4 5.9 MB
  1271. 01. Course Introduction.mp4 2.9 MB
  1272. 02. Software and Course Prerequisites.mp4 6.5 MB
  1273. 03. What Is Advanced Web Scraping-.mp4 3.7 MB
  1274. 04. Handling Form Submissions - GET Forms.mp4 7.4 MB
  1275. 05. Handling Form Submissions - POST Forms.mp4 14.5 MB
  1276. 01. Module Overview~.mp4 1.2 MB
  1277. 02. Scraping Sites with Logins.mp4 5.6 MB
  1278. 03. Demo- Scraping a Site with a Login.mp4 13.7 MB
  1279. 04. Submitting Button Input Values.mp4 1.7 MB
  1280. 05. Demo- Creating an Account on a Website with Python and Selenium.mp4 21.6 MB
  1281. 01. Module Overview~.mp4 1.0 MB
  1282. 02. When Will You Need to Upload Files during Scraping-.mp4 2.6 MB
  1283. 03. Demo- Reverse Image Search and Information Scraping Using Selenium and Beautiful Soup.mp4 8.5 MB
  1284. 04. Course Summary and Feedback~.mp4 2.8 MB
  1285. crawling-web-python-scrapy~.zip 2.1 MB
  1286. 01. Course Overview~.mp4 8.8 MB
  1287. 01. Introduction, Overview, and Prerequisites.mp4 2.8 MB
  1288. 02. Concepts~.mp4 4.0 MB
  1289. 03. Legal or Illegal~.mp4 3.6 MB
  1290. 04. Legal Consequences~.mp4 4.8 MB
  1291. 05. General Advice~.mp4 4.5 MB
  1292. 06. Why Scrapy~.mp4 5.5 MB
  1293. 07. Demo- Extracting Data without Scrapy.mp4 21.4 MB
  1294. 08. Summary~.mp4 1.7 MB
  1295. 01. Introduction and Overview.mp4 1.4 MB
  1296. 02. Introduction to Scrapy.mp4 4.4 MB
  1297. 03. Scrapy Architecture.mp4 3.3 MB
  1298. 04. Beautiful Soup~.mp4 3.6 MB
  1299. 05. Demo- Creating and Scaffolding a New Scrapy Project.mp4 10.9 MB
  1300. 06. Summary~.mp4 1.7 MB
  1301. 01. Introduction and Overview.mp4 1.5 MB
  1302. 02. Spiders Overview~.mp4 2.1 MB
  1303. 03. Types of Scrapy Spiders~.mp4 2.6 MB
  1304. 04. scrapy.Spider~.mp4 2.5 MB
  1305. 05. CrawlSpider~.mp4 3.5 MB
  1306. 06. XMLFeedSpider~.mp4 2.4 MB
  1307. 07. CSVFeedSpider~.mp4 2.1 MB
  1308. 08. SitemapSpider~.mp4 2.8 MB
  1309. 09. Demo- Implementing a scrapy.Spider.mp4 34.0 MB
  1310. 10. Demo- Implementing a CrawlSpider.mp4 24.4 MB
  1311. 11. Summary~.mp4 1.1 MB
  1312. 01. Introduction and Overview~.mp4 1.3 MB
  1313. 02. Allow and Deny Rules~.mp4 941.2 KB
  1314. 03. Processors~.mp4 5.0 MB
  1315. 04. Item Loaders~.mp4 2.0 MB
  1316. 05. Item Pipelines~.mp4 3.1 MB
  1317. 06. Demo- Implementing a Scraping Pipeline~.mp4 27.9 MB
  1318. 07. Summary~.mp4 1.1 MB
  1319. 01. Introduction and Overview~.mp4 1.1 MB
  1320. 02. Feed Exporter~.mp4 2.1 MB
  1321. 03. Demo- Using an Exporter to Save Data~.mp4 15.0 MB
  1322. 04. Summary~.mp4 2.1 MB
  1323. exploring-web-scraping-python~.zip 31.2 MB
  1324. 01. Exploring Web Scraping with Python~.mp4 3.7 MB
  1325. 01. How Web Scraping Is Useful~.mp4 6.1 MB
  1326. 02. Web Scraping Examples~.mp4 2.5 MB
  1327. 03. Scraping for a Car~.mp4 6.2 MB
  1328. 01. Human Browsing Versus Web Scraping~.mp4 3.4 MB
  1329. 02. HTTP Overview~.mp4 4.2 MB
  1330. 03. URL Hacking~.mp4 9.6 MB
  1331. 01. HTML & CSS Selectors~.mp4 11.4 MB
  1332. 02. XPath~.mp4 4.3 MB
  1333. 03. Chrome Developer Tools~.mp4 38.5 MB
  1334. 01. Is Web Scraping Legal- Is it Ethical-~.mp4 13.2 MB
  1335. 02. Web Scraping Legal Risks~.mp4 8.9 MB
  1336. 03. hiQ Labs Legal Case~.mp4 4.5 MB
  1337. 01. Python Scraping Environment~.mp4 6.9 MB
  1338. 02. Download a Page to Scrape~.mp4 9.2 MB
  1339. 03. Extract Data to Pandas~.mp4 18.1 MB
  1340. 01. Scrapy Framework~.mp4 7.9 MB
  1341. 02. Scrapy Shell~.mp4 3.8 MB
  1342. 03. Truecar Spider~.mp4 14.5 MB
  1343. 01. JavaScript Scraping Problem~.mp4 11.6 MB
  1344. 02. Requests-HTML~.mp4 6.6 MB
  1345. 03. Selenium~.mp4 8.2 MB
  1346. 01. Web Scraping Wrap Up~.mp4 8.1 MB
  1347. extracting-data-html-beautifulsoup~.zip 2.0 MB
  1348. 01. Course Overview~.mp4 3.1 MB
  1349. 01. Module Overview~.mp4 1.7 MB
  1350. 02. Prerequisites and Course Outline~.mp4 1.8 MB
  1351. 03. Introducing Web Scraping~.mp4 3.3 MB
  1352. 04. Regular Expressions and Beautiful Soup~.mp4 10.8 MB
  1353. 05. Making GET Requests Using Httplib2, Urllib and Requests.mp4 19.1 MB
  1354. 06. Introducing Regular Expressions~.mp4 8.3 MB
  1355. 07. Performing Simple Pattern Matches Using Regular Expressions.mp4 8.5 MB
  1356. 08. Parsing Web Pages Using Regular Expressions.mp4 15.5 MB
  1357. 09. Introducing Beautiful Soup~.mp4 19.2 MB
  1358. 10. Module Summary~.mp4 1.6 MB
  1359. 01. Module Overview~.mp4 1.7 MB
  1360. 02. Parsing Web Pages with Beautiful Soup~.mp4 15.5 MB
  1361. 03. Tags, Attributes, NavigableStrings, Comments~.mp4 8.2 MB
  1362. 04. Navigating Using Tags and Contents~.mp4 9.6 MB
  1363. 05. Navigating Children, Descendants, and Parents~.mp4 16.0 MB
  1364. 06. Navigating Sideways Using Next and Previous Sibling.mp4 7.0 MB
  1365. 07. Navigating Sideways Using Next Element and Previous Element.mp4 5.7 MB
  1366. 08. Filter by Tags and Attributes Using Regular Expressions and Custom Functions.mp4 15.2 MB
  1367. 09. Extracting Absolute and Relative Links from HTML~.mp4 15.1 MB
  1368. 10. Module Summary~.mp4 1.7 MB
  1369. 01. Module Overview~.mp4 2.0 MB
  1370. 02. XML and XPath~.mp4 5.6 MB
  1371. 03. Performing Advanced Search on the Parse Tree.mp4 13.3 MB
  1372. 04. Searching Using Variations of Find and Find All.mp4 8.8 MB
  1373. 05. CSS Selectors Using Soup Sieve~.mp4 16.5 MB
  1374. 06. Using XPath to Navigate an XML Tree.mp4 10.8 MB
  1375. 07. Module Summary~.mp4 2.1 MB
  1376. 01. Module Overview~.mp4 1.7 MB
  1377. 02. Modifying the HTML Parse Tree~.mp4 11.2 MB
  1378. 03. Exploring Beautiful Soup Functions to Modify the Parse Tree.mp4 10.7 MB
  1379. 04. Miscellaneous Operations Using Beautiful Soup.mp4 10.9 MB
  1380. 05. Working with Different Parsers.mp4 6.5 MB
  1381. 06. Using the Soup Strainer to Parse Parts of a Document.mp4 5.4 MB
  1382. 07. Encodings in Beautiful Soup~.mp4 4.6 MB
  1383. 08. Summary and Further Study~.mp4 2.3 MB
  1384. scraping-dynamic-web-pages-python-selenium~.zip 17.3 MB
  1385. 01. Course Overview~.mp4 4.0 MB
  1386. 01. Module Introduction~.mp4 3.9 MB
  1387. 02. Overview of Scraping Dynamic Webpages~.mp4 2.6 MB
  1388. 03. What Is Selenium and Where Is It Used-.mp4 4.4 MB
  1389. 04. Selenium WebDriver~.mp4 5.6 MB
  1390. 05. Demo- Installing Libraries~.mp4 7.2 MB
  1391. 06. Demo- Opening a Webpage with WebDriver.mp4 6.8 MB
  1392. 07. Summary~.mp4 1.1 MB
  1393. 01. Module Introduction~.mp4 1.4 MB
  1394. 02. Introduction to Elements.mp4 1.5 MB
  1395. 03. Methods to Locate Elements.mp4 8.5 MB
  1396. 04. Demo- Locating Elements in a Webpage - Part 1.mp4 7.5 MB
  1397. 05. Demo- Locating Elements in a Webpage - Part 2.mp4 12.9 MB
  1398. 06. Demo- Navigating a Webpage with Selenium.mp4 13.2 MB
  1399. 07. Summary~.mp4 912.9 KB
  1400. 01. Module Introduction~.mp4 1.0 MB
  1401. 02. Introduction to Beautiful Soup.mp4 3.6 MB
  1402. 03. Transitioning from Selenium to Beautiful Soup.mp4 1.5 MB
  1403. 04. Demo- Combining Tools to Scrape a Dynamic Webpage - Introduction.mp4 5.9 MB
  1404. 05. Demo- Combining Tools to Scrape a Dynamic Webpage - Practical Implementation.mp4 16.5 MB
  1405. 06. Summary~.mp4 849.7 KB
  1406. 01. Module Introduction~.mp4 960.6 KB
  1407. 02. Challenges in Web Scraping.mp4 6.2 MB
  1408. 03. Tips to Increase Efficiency & Best Practices.mp4 6.7 MB
  1409. 04. Summary~.mp4 1.7 MB
  1410. scraping-first-web-page-python~.zip 2.6 MB
  1411. 01. Course Overview~.mp4 4.0 MB
  1412. 01. Module Overview~.mp4 1.7 MB
  1413. 02. Prerequisites and Course Outline~.mp4 1.8 MB
  1414. 03. HTTP Requests and Responses~.mp4 9.1 MB
  1415. 04. Web Scraping~.mp4 3.4 MB
  1416. 05. HTTP Client Libraries~.mp4 5.8 MB
  1417. 06. Making GET Requests Using httplib2~.mp4 16.4 MB
  1418. 07. Making OPTIONS, POST, PUT Requests with httplib2.mp4 7.8 MB
  1419. 08. Handling Redirects with httplib2~.mp4 7.2 MB
  1420. 09. Making HTTP Requests and Parsing URLs Using urllib.mp4 14.6 MB
  1421. 10. GET and POST Requests Using the Requests Library.mp4 11.4 MB
  1422. 11. Handling Redirects with the Requests Library~.mp4 6.7 MB
  1423. 12. Module Summary~.mp4 1.8 MB
  1424. 01. Module Overview~.mp4 1.9 MB
  1425. 02. The HTML Parse Tree~.mp4 4.8 MB
  1426. 03. Beautiful Soup for HTML Parsing~.mp4 2.7 MB
  1427. 04. Introducing Beautiful Soup~.mp4 11.6 MB
  1428. 05. Extracting Specific Page Elements~.mp4 16.5 MB
  1429. 06. Filtering Elements Using Find and Find All.mp4 13.9 MB
  1430. 07. Searching and Filtering Using Custom Functions.mp4 5.5 MB
  1431. 08. Extracting Links from a Page~.mp4 20.2 MB
  1432. 09. Using a Soup Strainer to Parse a Subset of a Document.mp4 9.0 MB
  1433. 10. Module Summary~.mp4 1.8 MB
  1434. 01. Module Overview~.mp4 1.6 MB
  1435. 02. Parsing Web Content~.mp4 3.8 MB
  1436. 03. Introducing Scrapy~.mp4 6.6 MB
  1437. 04. Getting Started with Scrapy~.mp4 16.5 MB
  1438. 05. Introducing the Scrapy Shell~.mp4 10.5 MB
  1439. 06. Selecting Elements Using CSS Selectors.mp4 27.8 MB
  1440. 07. Advanced Selections Using CSS Selectors.mp4 17.1 MB
  1441. 08. Selecting Elements Using XPath Selectors.mp4 26.8 MB
  1442. 09. Module Summary~.mp4 1.6 MB
  1443. 01. Module Overview~.mp4 1.6 MB
  1444. 02. How Scrapy Works~.mp4 5.4 MB
  1445. 03. Creating Your First Custom Spider~.mp4 19.3 MB
  1446. 04. Writing Scraped Contents to a File~.mp4 6.4 MB
  1447. 05. Exploring Items Using the Scrapy Shell~.mp4 7.2 MB
  1448. 06. Using Items to Store Extracted Content~.mp4 12.8 MB
  1449. 07. Using Item Loaders and Input and Output Processors for Scraped Data.mp4 20.3 MB
  1450. 08. Using Pipelines to Transform Scraped Data.mp4 13.7 MB
  1451. 09. Module Summary~.mp4 2.1 MB
  1452. Pluralsight - Advanced Web Scraping Tactics- Python Playbook [AhLaN]~.jpg 992.5 KB
  1453. Pluralsight - Crawling the Web with Python and Scrapy [AhLaN]~.jpg 917.6 KB
  1454. Pluralsight - Exploring Web Scraping with Python [AhLaN]~.jpg 1.0 MB
  1455. Pluralsight - Extracting Data from HTML with BeautifulSoup [AhLaN]~.jpg 728.2 KB
  1456. Pluralsight - Scraping Dynamic Web Pages with Python and Selenium [AhLaN]~.jpg 754.6 KB
  1457. Pluralsight - Scraping Your First Web Page with Python [AhLaN]~.jpg 991.2 KB
  1458. Building Your First Python Analytics Solution [AhLaN].jpg 1.2 MB
  1459. Cleaning Data- Python Data Playbook [AhLaN].jpg 1.1 MB
  1460. Create and Share Analytics with Jupyter Notebooks [AhLaN].jpg 834.8 KB
  1461. Data Wrangling with Python [AhLaN].jpg 1.1 MB
  1462. Finding Relationships in Data with Python [AhLaN].jpg 887.2 KB
  1463. Importing Data- Python Data Playbook [AhLaN].jpg 834.4 KB
  1464. Interpreting Data Using Descriptive Statistics with Python [AhLaN].jpg 691.7 KB
  1465. Interpreting Data Using Statistical Models with Python [AhLaN].jpg 902.1 KB
  1466. Leveraging Online Resources for Python Analytics [AhLaN].jpg 469.7 KB
  1467. Pluralsight - Advanced Generators and Coroutines [AhLaN].jpg 855.7 KB
  1468. Pluralsight - Advanced Python [AhLaN].jpg 189.5 KB
  1469. Pluralsight - Advanced Web Scraping Tactics- Python Playbook [AhLaN].jpg 992.5 KB
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