Pluralsight - Python course collection (45+ courses) [AhLaN]

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Pluralsight - Python course collection (45+ courses) [AhLaN]
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Files
  1. 05. Duck Tail- An Object Introspection Tool~.mp453.2 MB
  2. Downloaded from Ahlanedu.com.txt996 bytes
  3. final thumbnail.png?43858?v=1.05420.1 KB
  4. Post.txt3.2 KB
  5. Visit us at www.Ahlanedu.com.url51 bytes
  6. finding-relationships-data-python~.zip5.5 MB
  7. 01. Course Overview~.mp43.6 MB
  8. 01. Module Overview~.mp41.7 MB
  9. 02. Prerequisites and Course Outline.mp41.5 MB
  10. 03. Statistics in Understanding Data.mp46.4 MB
  11. 04. Measures of Central Tendency and Dispersion.mp47.7 MB
  12. 05. Bivariate and Multivariate Descriptive Statistics.mp44.6 MB
  13. 06. Demo- Loading Cleaning and Preparing Data.mp410.6 MB
  14. 07. Demo- Exploring and Visualizing Relationships.mp413.2 MB
  15. 08. Demo- Calculating and Visualizing Correlations.mp417.3 MB
  16. 09. Autocorrelation~.mp42.2 MB
  17. 10. Demo- Calculating and Visualizing Autocorrelation.mp410.0 MB
  18. 11. Demo- Line Plots and Bar Graphs.mp47.8 MB
  19. 12. Demo- Box Plots Violin Plots and Pie Charts.mp49.7 MB
  20. 13. Module Summary~.mp41.7 MB
  21. 01. Module Overview.mp43.5 MB
  22. 02. Kernel Density Estimation.mp45.1 MB
  23. 03. Demo- Histograms, KDE Plots, Rug Plots.mp414.7 MB
  24. 04. Demo- Exploring Continuous and Categorical Relationships.mp413.2 MB
  25. 05. Demo- Pairwise Relationships.mp413.1 MB
  26. 06. Demo- Visualizing Multiple Relationships with Facets.mp48.0 MB
  27. 07. Module Summary.mp41.8 MB
  28. 01. Module Overview.mp42.0 MB
  29. 02. Introducing Altair.mp44.1 MB
  30. 03. Demo- Getting Started with Altair.mp417.0 MB
  31. 04. Demo- Simple Altair Plots to Slice and Explore Data.mp410.9 MB
  32. 05. Demo- Visualizing Relationships Using Binning and Aggregation.mp48.0 MB
  33. 06. Demo- Interactive Visualizations with Altair.mp417.6 MB
  34. 07. Introducing Plotly.mp42.3 MB
  35. 08. Demo- Interactive Visualizations for Financial Data Using Plotly.mp411.8 MB
  36. 09. Demo- Geographical Plots Using Bubble Maps.mp47.0 MB
  37. 10. Summary and Further Study.mp41.9 MB
  38. interpreting-data-descriptive-statistics-python~.zip4.4 MB
  39. 01. Course Overview~.mp43.2 MB
  40. 01. Module Summary~.mp42.1 MB
  41. 02. Prerequisites and Course Outline.mp41.5 MB
  42. 03. Introducing Descriptive Statistics.mp45.4 MB
  43. 04. Measures of Central Tendency.mp410.4 MB
  44. 05. Measures of Dispersion.mp46.7 MB
  45. 06. Understanding Variance.mp43.7 MB
  46. 07. The Gaussian Distribution.mp45.1 MB
  47. 08. Sampling Distribution to Estimate Population Mean.mp410.1 MB
  48. 09. Confidence Intervals.mp49.2 MB
  49. 10. Skewness and Kurtosis.mp46.7 MB
  50. 11. Covariance and Correlation.mp46.2 MB
  51. 12. Module Summary~.mp41.8 MB
  52. 01. Module Overview.mp43.2 MB
  53. 02. Demo- Getting Started with Pandas.mp48.8 MB
  54. 03. Demo- Mean and Median.mp412.3 MB
  55. 04. Demo- Influence of Outliers on Mean and Median.mp48.7 MB
  56. 05. Demo- Quantiles and the Interquartile Range.mp410.5 MB
  57. 06. Demo- Variance and Standard Deviation.mp46.0 MB
  58. 07. Demo- Interpreting and Visualizing Summary Statistics.mp410.7 MB
  59. 08. Demo- Skewness and Kurtosis.mp49.0 MB
  60. 09. Demo- Covariance and Correlation.mp412.5 MB
  61. 10. Demo- Calculating and Visualizing Confidence Intervals.mp411.0 MB
  62. 11. Module Summary.mp42.2 MB
  63. 01. Module Overview.mp43.2 MB
  64. 02. Demo- Mean and Median.mp410.9 MB
  65. 03. Demo- Influence of Outliers and Mode.mp46.2 MB
  66. 04. Demo- Interquartile Range Variance and Standard Deviation.mp412.5 MB
  67. 05. Demo- Z-scores Using SciPy.mp412.3 MB
  68. 06. Demo- Skewness and Kurtosis for Stock Returns.mp49.8 MB
  69. 07. Demo- Descriptive Statistics and Regression Analysis on Bivariate and Multivariate Data.mp414.6 MB
  70. 08. Demo- Calculating and Interpreting Confidence Intervals.mp45.4 MB
  71. 09. Summary and Further Study.mp42.6 MB
  72. interpreting-data-using-statistical-models-python~.zip4.7 MB
  73. 01. Course Overview~.mp43.6 MB
  74. 01. Module Overview~.mp42.3 MB
  75. 02. Prerequisites and Course Outline.mp41.8 MB
  76. 03. Descriptive Statistics to Summarize Data.mp46.4 MB
  77. 04. Introducing Hypothesis Testing.mp47.7 MB
  78. 05. Lady Tasting Tea~.mp47.7 MB
  79. 06. The Power, Alpha and p-value of a Statistical Test.mp43.8 MB
  80. 07. Introducing the t-test~.mp46.2 MB
  81. 08. One Sample Location t-test and the Z-Test.mp44.7 MB
  82. 09. Other Types of t-tests~.mp49.8 MB
  83. 10. One-way ANOVA~.mp49.9 MB
  84. 11. Two-way ANOVA~.mp43.8 MB
  85. 12. Pearson's Chi2 Test~.mp46.8 MB
  86. 13. Module Summary~.mp42.2 MB
  87. 01. Module Overview~.mp42.0 MB
  88. 02. Demo- Preparing Data for Hypothesis Testing.mp416.1 MB
  89. 03. Demo- Performing the Independent t-test.mp412.8 MB
  90. 04. Demo- Performing Welch's t-test.mp413.2 MB
  91. 05. Demo- Performing the Paired Difference t-test.mp410.4 MB
  92. 06. Demo- One-way ANOVA and Tukey's Honest Significant Difference Test.mp410.6 MB
  93. 07. Demo- Two-way ANOVA~.mp417.9 MB
  94. 08. Demo- Chi2 Analysis~.mp415.0 MB
  95. 09. Module Summary~.mp42.1 MB
  96. 01. Module Overview.mp41.8 MB
  97. 02. Introducing Linear Regression.mp45.4 MB
  98. 03. Minimizing Mean Square Error.mp44.8 MB
  99. 04. Multiple Regression and Adjusted R-square.mp46.9 MB
  100. 05. Demo- Preparing Data for Simple Linear Regression.mp412.1 MB
  101. 06. Demo- Linear Regression Using Analytical and Machine Learning Techniques.mp410.3 MB
  102. 07. Demo- Visualizing Correlations in Data.mp47.2 MB
  103. 08. Demo- Selecting Relevant Features for Multiple Regression Using Correlations.mp411.4 MB
  104. 09. Demo- Selecting Relevant Features for Multiple Regression Using Mutual Information.mp45.5 MB
  105. 10. Module Summary.mp41.9 MB
  106. 01. Module Overview.mp42.4 MB
  107. 02. The Intuition behind Logistic Regression.mp48.9 MB
  108. 03. Logistic Regression and Linear Regression.mp44.8 MB
  109. 04. Accuracy, Precision, and Recall.mp48.3 MB
  110. 05. Demo- Performing Classification Using Logistic Regression.mp412.8 MB
  111. 06. Demo- Selecting Features Using Chi2, ANOVA, and Mutual Information.mp414.1 MB
  112. 07. Summary and Further Study.mp42.7 MB
  113. Finding Relationships in Data with Python [AhLaN]~.jpg?042148887.2 KB
  114. Interpreting Data Using Descriptive Statistics with Python [AhLaN]~.jpg?042148691.7 KB
  115. Interpreting Data Using Statistical Models with Python [AhLaN]~.jpg?042148902.1 KB
  116. Post~.txt8.9 KB
  117. advanced-python~.zip7.8 MB
  118. 01. Course Overview~.mp45.2 MB
  119. 01. Advanced Python~.mp411.9 MB
  120. 02. Introducing Advanced Flow Control~.mp4679.6 KB
  121. 03. Loop-else Clauses and While-else~.mp46.9 MB
  122. 04. While-else for Evaluating Stack Programs~.mp418.9 MB
  123. 05. For-else Clauses and Handling Search Failure~.mp46.8 MB
  124. 06. Alternatives to Loop-else Clauses~.mp43.9 MB
  125. 07. Try-else Clauses~.mp42.4 MB
  126. 08. Emulating Switch Statements~.mp418.5 MB
  127. 09. Dispatching on Type~.mp423.7 MB
  128. 10. Double Dispatch with Methods~.mp411.6 MB
  129. 11. Summary~.mp43.8 MB
  130. 01. Everything Is Bits and Bytes~.mp41.4 MB
  131. 02. Bitwise Operations on Integers~.mp411.2 MB
  132. 03. Byte-wise Operations with Integers~.mp44.3 MB
  133. 04. The Bytes Type in Depth~.mp47.4 MB
  134. 05. The bytearray Type~.mp44.2 MB
  135. 06. Interpreting Binary Structures~.mp435.3 MB
  136. 07. The memoryview Type~.mp423.5 MB
  137. 08. Memory-mapped Files~.mp415.2 MB
  138. 09. Summary~.mp42.7 MB
  139. 01. Introducing Object Internals~.mp4904.3 KB
  140. 02. How are Python Objects Represented-~.mp410.1 MB
  141. 03. Overriding __getattr__~.mp44.3 MB
  142. 04. Overriding __setattr__~.mp41.5 MB
  143. 05. Pitfalls with __getattr__~.mp48.3 MB
  144. 06. Overriding __delattr__~.mp42.3 MB
  145. 07. Customizing Attribute Storage~.mp47.4 MB
  146. 08. Direct vs. Indirect Access to __dict__~.mp41.1 MB
  147. 09. Overriding __getattribute__~.mp49.9 MB
  148. 10. Attribute Lookup for Special Methods~.mp45.9 MB
  149. 11. Where are Methods Stored-~.mp43.6 MB
  150. 12. Trading Size for Dynamism with Slots~.mp49.1 MB
  151. 13. Summary~.mp42.1 MB
  152. 01. Introducing Descriptors~.mp49.9 MB
  153. 02. Properties are Descriptors~.mp413.3 MB
  154. 03. Implementing a Descriptor~.mp421.8 MB
  155. 04. Calling Descriptors on Classes~.mp44.2 MB
  156. 05. Data vs. Non-data Descriptors~.mp46.3 MB
  157. 06. Summary~.mp43.0 MB
  158. 01. Instance Creation~.mp410.2 MB
  159. 02. Allocation with __new__()~.mp47.4 MB
  160. 03. Customizing Allocation~.mp49.2 MB
  161. 04. Summary~.mp41.2 MB
  162. 01. Metaclasses~.mp44.4 MB
  163. 02. Class Allocation and Initialization~.mp424.2 MB
  164. 03. Metaclass Keyword Arguments~.mp410.1 MB
  165. 04. Metaclass Method Visibility~.mp45.9 MB
  166. 05. Metaclass __call__ - The Instance Constructor~.mp413.0 MB
  167. 06. A Practical Metaclass Example~.mp412.3 MB
  168. 07. Naming Descriptors Using Metaclasses~.mp412.8 MB
  169. 08. Metaclasses and Inheritance~.mp414.2 MB
  170. 09. Summary~.mp42.5 MB
  171. 01. Class Decorators~.mp46.1 MB
  172. 02. Enforcing Class Invariants~.mp413.9 MB
  173. 03. Detecting and Wrapping Properties~.mp411.1 MB
  174. 04. Chaining Class Decorators~.mp47.3 MB
  175. 05. Summary~.mp4537.3 KB
  176. 01. Introducing Abstract Base Classes~.mp47.8 MB
  177. 02. Abstract Base Classes in Python~.mp47.5 MB
  178. 03. Abstract Base Classes in Practice~.mp48.6 MB
  179. 04. Non-transitive Subclass Relationships~.mp43.2 MB
  180. 05. Method Resolution with Virtual Base Classes~.mp43.4 MB
  181. 06. Library Support for Abstract Base Classes~.mp45.4 MB
  182. 07. Virtual Subclass Registration~.mp41.8 MB
  183. 08. Combining Subclass Detection and Registration~.mp45.7 MB
  184. 09. The ABC Convenience Base Class~.mp4966.0 KB
  185. 10. Declaring Abstract Methods~.mp48.0 MB
  186. 11. Combining Method Decorators~.mp45.7 MB
  187. 12. Improving @invariant with ABCs~.mp417.9 MB
  188. 13. Summary~.mp412.2 MB
  189. full-stack-web-development-python-web2py~.zip7.0 MB
  190. 01. Introduction~.mp410.4 MB
  191. 02. Course Overview~.mp43.8 MB
  192. 01. Download and Start WEB2PY~.mp414.0 MB
  193. 02. Model-View-Controller~.mp48.2 MB
  194. 03. Build Our First Web Page~.mp413.9 MB
  195. 04. Request Object~.mp421.9 MB
  196. 05. Response Object~.mp45.3 MB
  197. 06. Business Rules and Libraries~.mp45.2 MB
  198. 07. Deploying Our App~.mp412.6 MB
  199. 01. Build a Blog App~.mp41.9 MB
  200. 02. Design the Application and Database.mp42.1 MB
  201. 03. Use Models and Validators to Define Data Elements.mp420.6 MB
  202. 04. Build the Post Page with WEB2PY SQLFORMs.mp415.2 MB
  203. 05. Update Records with SQLFORMS.mp411.7 MB
  204. 06. Build the View Page~.mp47.9 MB
  205. 07. Summary - Inserting and Updating Records.mp41.2 MB
  206. 01. Introduction to Database Administration~.mp42.1 MB
  207. 02. Importing CSV Files~.mp417.2 MB
  208. 03. Query Database Records~.mp415.5 MB
  209. 04. Insert, Update, and Delete Database Records~.mp419.5 MB
  210. 05. Export CSV Files and Render Data to HTML, JSON, or XML.mp418.3 MB
  211. 06. Summary~.mp4924.9 KB
  212. 01. Introduction~.mp41.0 MB
  213. 02. Sample Filters and Sorts~.mp418.3 MB
  214. 03. Demo - Contacts App~.mp432.2 MB
  215. 01. Introduction~.mp43.5 MB
  216. 02. Account Registration~.mp412.4 MB
  217. 03. Access Control~.mp411.1 MB
  218. 04. Miscellaneous Topics~.mp41.8 MB
  219. 05. Summary~.mp41.7 MB
  220. 01. Relational Database Concepts~.mp47.4 MB
  221. 02. Execute SQL~.mp416.4 MB
  222. 03. Dictionaries~.mp413.7 MB
  223. 04. Reference Integrity~.mp411.1 MB
  224. 05. Summary~.mp43.0 MB
  225. 01. Introduction~.mp42.0 MB
  226. 02. Sessions~.mp415.9 MB
  227. 03. SQL Form Factories~.mp415.3 MB
  228. 04. Demo - Prime Numbers~.mp45.9 MB
  229. 05. Summary~.mp41.9 MB
  230. 01. Introduction~.mp43.2 MB
  231. 02. Demo - Farm Fresh App~.mp47.3 MB
  232. 03. Demo - Model Code~.mp48.0 MB
  233. 04. Demo - Controller Code~.mp418.7 MB
  234. 05. Demo - View Code~.mp410.8 MB
  235. 06. Demo - Menu Code~.mp46.9 MB
  236. 07. Summary~.mp42.0 MB
  237. managing-python-packages-virtual-environments~.zip3.5 MB
  238. 01. Course Overview~.mp42.4 MB
  239. 01. Introduction~.mp46.2 MB
  240. 02. Getting Started~.mp45.5 MB
  241. 03. Demo- Installing pip on Windows~.mp47.4 MB
  242. 04. Installing pip on Mac OS or Linux.mp41.7 MB
  243. 05. Demo- Linux Installation~.mp47.5 MB
  244. 06. Demo- Package Management with pip.mp48.4 MB
  245. 07. Demo- Getting Package Information with pip.mp48.4 MB
  246. 08. Review~.mp41.9 MB
  247. 09. Demo- Where Are Packages Installed-.mp47.9 MB
  248. 10. Demo- A Better Way to Call pip~.mp46.3 MB
  249. 01. About Virtual Environments.mp42.6 MB
  250. 02. Creating a Virtual Environment.mp48.8 MB
  251. 03. Working Inside a Virtual Environment.mp47.9 MB
  252. 04. Review~.mp43.1 MB
  253. 05. Managing Project Requirements.mp411.9 MB
  254. 06. Projects, Requirements, and Versions.mp44.9 MB
  255. 07. A Real-world Example.mp412.4 MB
  256. 08. Another Example- Testing with Tox.mp411.8 MB
  257. 01. Intro and Installation.mp410.5 MB
  258. 02. Working with virtualenvwrapper.mp410.3 MB
  259. 03. Review~.mp45.2 MB
  260. 01. Introducing pipenv and poetry~.mp410.4 MB
  261. 02. Pipenv~.mp412.6 MB
  262. 03. Poetry~.mp410.2 MB
  263. 04. Conclusion~.mp41.8 MB
  264. python-best-practices-code-quality~.zip4.7 MB
  265. 01. Course Overview~.mp43.1 MB
  266. 01. Introduction- What Is a PEP-.mp46.7 MB
  267. 02. Overview of PEP8~.mp43.0 MB
  268. 03. Demo- Applying PEP8 Rules to Your Code.mp421.8 MB
  269. 04. Review- PEP8~.mp42.3 MB
  270. 05. Demo- Commandline Tools- Pylint.mp422.4 MB
  271. 06. Demo- Commandline Tools- Pycodestyle and Black.mp47.5 MB
  272. 07. Module Summary~.mp4729.4 KB
  273. 01. Introduction- Docstrings and Sphinx~.mp44.7 MB
  274. 02. Demo- Getting Started with Sphinx~.mp413.5 MB
  275. 03. Demo- Introducing reStructuredText~.mp48.2 MB
  276. 04. Review- Sphinx and reStructuredText~.mp43.8 MB
  277. 05. Demo- A Python Project with Docstrings~.mp411.6 MB
  278. 06. Demo- Using Apidoc to Generate Documentation from Python Code.mp417.9 MB
  279. 07. Review- Apidoc~.mp45.3 MB
  280. 01. Introduction- Static Typing and Type Hints.mp44.1 MB
  281. 02. Demo- Type Hints~.mp49.4 MB
  282. 03. Review- Type Hints~.mp46.9 MB
  283. 04. Demo- Adding Type Hints to Our Project~.mp426.5 MB
  284. 05. Demo- mypy~.mp43.7 MB
  285. 06. Summary~.mp4777.1 KB
  286. python-beyond-basics~.zip24.7 MB
  287. 01. Prerequisites~.mp414.6 MB
  288. 01. Packages~.mp46.5 MB
  289. 02. Imports from sys.path~.mp415.1 MB
  290. 03. Implementing Packages~.mp48.3 MB
  291. 04. Subpackages~.mp43.3 MB
  292. 05. Example- A Full Program~.mp44.9 MB
  293. 06. Relative Imports~.mp45.3 MB
  294. 07. Controlling Imports with __all__~.mp45.5 MB
  295. 08. Namespace Packages~.mp47.9 MB
  296. 09. Executable Directories~.mp47.1 MB
  297. 10. Recommended Layout~.mp42.6 MB
  298. 11. Duck Tails- Modules Are Singletons~.mp44.6 MB
  299. 12. Summary~.mp48.1 MB
  300. 01. Function Review~.mp47.3 MB
  301. 02. Callable Instances~.mp411.1 MB
  302. 03. Classes Are Callable~.mp44.7 MB
  303. 04. Conditional Expressions~.mp42.3 MB
  304. 05. Lambdas~.mp415.1 MB
  305. 06. Detecting Callable Objects~.mp42.0 MB
  306. 07. Extended Formal Argument Syntax~.mp415.3 MB
  307. 08. Extended Call Syntax~.mp44.8 MB
  308. 09. Forwarding Arguments~.mp41.6 MB
  309. 10. Duck Tail- Transposing Tables~.mp47.7 MB
  310. 11. Summary~.mp47.7 MB
  311. 01. Local Functions~.mp49.7 MB
  312. 02. Returning Functions From Functions~.mp41.6 MB
  313. 03. Closures and Nested Scopes~.mp42.8 MB
  314. 04. Function Factories~.mp42.8 MB
  315. 05. The Nonlocal Keyword~.mp415.9 MB
  316. 06. Function Decorators~.mp43.7 MB
  317. 07. A First Decorator Example~.mp47.0 MB
  318. 08. What Can Be a Decorator-~.mp45.6 MB
  319. 09. Instances as Decorators~.mp46.2 MB
  320. 10. Multiple Decorators~.mp45.5 MB
  321. 11. Decorating Methods~.mp43.4 MB
  322. 12. functools.wraps()~.mp412.8 MB
  323. 13. Duck Tails- Validating Arguments~.mp49.1 MB
  324. 14. Summary~.mp45.4 MB
  325. 01. Class Attributes~.mp419.5 MB
  326. 02. Static Methods~.mp45.9 MB
  327. 03. Class Methods~.mp421.7 MB
  328. 04. Static Methods with Inheritance~.mp414.8 MB
  329. 05. Class Methods with Inheritance~.mp418.3 MB
  330. 06. Properties~.mp428.0 MB
  331. 07. Properties and Inheritance~.mp438.4 MB
  332. 08. Duck Tail- The Template Method Pattern~.mp413.8 MB
  333. 09. Summary~.mp44.6 MB
  334. 01. Two String Representations~.mp43.3 MB
  335. 02. repr()~.mp46.1 MB
  336. 03. str()~.mp42.4 MB
  337. 04. When Are the Representations Used-~.mp45.6 MB
  338. 05. Interaction with format()~.mp47.5 MB
  339. 06. reprlib~.mp45.6 MB
  340. 07. asciii(), ord(), and chr()~.mp43.5 MB
  341. 08. Duck Tail- Bigger Isn't Always Better~.mp47.0 MB
  342. 09. Summary~.mp47.6 MB
  343. 01. Reviewing int and float~.mp416.5 MB
  344. 02. The Decimal Module and the Decimal Type~.mp423.2 MB
  345. 03. Rational Numbers with the Fraction Type~.mp48.3 MB
  346. 04. The Complex Type and the cmath Module~.mp413.6 MB
  347. 05. Built-In Numeric Functions abs() and round()~.mp46.9 MB
  348. 06. Number Base Conversions~.mp44.4 MB
  349. 07. The datetime Module and date Type~.mp413.7 MB
  350. 08. The time Type~.mp44.9 MB
  351. 09. The datetime Type~.mp48.9 MB
  352. 10. Durations with the timedelta Type~.mp43.8 MB
  353. 11. Arithmetic with datetime~.mp42.1 MB
  354. 12. Time Zones~.mp48.9 MB
  355. 13. Duck Tail- Floating Point vs. Rational Numbers~.mp443.5 MB
  356. 14. Summary~.mp412.1 MB
  357. 01. Multi-Input Comprehensions~.mp48.7 MB
  358. 02. Nested Comprehensions~.mp43.8 MB
  359. 03. The map() Function~.mp47.2 MB
  360. 04. Multiple Input Sequences~.mp43.4 MB
  361. 05. map() Versus Comprehensions~.mp41.2 MB
  362. 06. The filter() Function~.mp43.8 MB
  363. 07. The functools.reduce() Function~.mp46.6 MB
  364. 08. Combining map() and reduce()~.mp44.6 MB
  365. 09. The Iteration Protocols~.mp44.9 MB
  366. 10. Putting the Protocols Together~.mp42.7 MB
  367. 11. Alternative Iterable Protocol~.mp42.3 MB
  368. 12. Extended iter() Format~.mp43.6 MB
  369. 13. Duck Tail- Iterator for Streamed Sensor Data~.mp45.3 MB
  370. 14. Summary~.mp46.9 MB
  371. 01. Inheritance Overview~.mp48.0 MB
  372. 02. A Realistic Example- SortedList~.mp45.4 MB
  373. 03. The Built-In isinstance() Function~.mp46.2 MB
  374. 04. The Built-In issubclass() Function~.mp41.9 MB
  375. 05. Multiple Inheritance~.mp47.5 MB
  376. 06. Details of Multiple Inheritance~.mp42.8 MB
  377. 07. Method Resolution Order~.mp49.9 MB
  378. 08. How Is Method Resolution Order Calculated-~.mp44.1 MB
  379. 09. The Built-In super() Function~.mp45.3 MB
  380. 10. Class-Bound Super Proxies~.mp46.0 MB
  381. 11. Instance-Bound Super Proxies~.mp44.5 MB
  382. 12. Calling super() Without Arguments~.mp42.0 MB
  383. 13. SortedIntList Explained~.mp44.4 MB
  384. 14. The Object Class~.mp45.3 MB
  385. 15. Duck Tail- Inheritance for Implementation Sharing~.mp45.0 MB
  386. 16. Summary~.mp414.2 MB
  387. 01. Collection Protocol Overview~.mp44.8 MB
  388. 02. Collection Construction~.mp414.4 MB
  389. 03. The Container Protocol~.mp49.3 MB
  390. 04. The Sized Protocol~.mp411.3 MB
  391. 05. The Iterable Protocol~.mp412.3 MB
  392. 06. The Sequence Protocol- Indexing~.mp412.4 MB
  393. 07. The Sequence Protocol- Slicing~.mp419.1 MB
  394. 08. Comprehensible Test Results With __repr__()~.mp48.2 MB
  395. 09. Implementing Equality and Inequality~.mp425.8 MB
  396. 10. The Sequence Protocol- Reversing~.mp47.5 MB
  397. 11. The Sequence Protocol- index()~.mp413.9 MB
  398. 12. The Sequence Protocol- count()~.mp44.6 MB
  399. 13. Improving Performance from O(N) to O(log n)~.mp428.0 MB
  400. 14. Refactoring to Avoid Don't Repeat Yourself (DRY)~.mp413.6 MB
  401. 15. Checking Protocol Implementations~.mp416.8 MB
  402. 16. The Sequence Protocol- Concatenation and Repetition~.mp431.9 MB
  403. 17. The Set Protocol~.mp430.2 MB
  404. 18. Duck Tail- Making a Mutable Set~.mp44.2 MB
  405. 19. Summary~.mp46.6 MB
  406. 01. Always Specify an Exception Type~.mp410.4 MB
  407. 02. The Standard Exception Hierarchy~.mp416.2 MB
  408. 03. Exception Payloads~.mp417.2 MB
  409. 04. Defining New Exceptions~.mp412.6 MB
  410. 05. Chaining Exceptions~.mp418.1 MB
  411. 06. Traceback Objects~.mp49.6 MB
  412. 07. Assertions- Internal Invariants~.mp410.0 MB
  413. 08. Assertions- Class Invariants~.mp47.2 MB
  414. 09. Assertions- Performance~.mp47.2 MB
  415. 10. Duck Tail- Preconditions and Postconditions~.mp427.6 MB
  416. 11. Summary~.mp45.6 MB
  417. 01. What Is a Context Manager-~.mp46.1 MB
  418. 02. The Context Manager Protocol~.mp44.4 MB
  419. 03. A First Context Manager Example~.mp48.5 MB
  420. 04. __enter__()~.mp42.0 MB
  421. 05. __exit__()~.mp43.9 MB
  422. 06. __exit__() and Exception Propagation~.mp45.3 MB
  423. 07. The with-statement Expansion~.mp42.2 MB
  424. 08. contextlib.contextmanager~.mp412.5 MB
  425. 09. Multiple Context Managers~.mp47.0 MB
  426. 10. Don't Pass a List!~.mp42.8 MB
  427. 11. Duck Tail- Context Managers for Transactions~.mp48.9 MB
  428. 12. Summary~.mp46.4 MB
  429. 01. Object Types in Depth~.mp47.1 MB
  430. 02. Introspecting Objects~.mp421.8 MB
  431. 03. Introspecting Scopes~.mp46.7 MB
  432. 04. The Python Standard Library Inspect Module~.mp420.6 MB
  433. Download - Lynda,Udemy,Skillshare,Teamtreehouse,Frontend Masters,Pluralsight,Phlearn,Coursera,Egghead,MasterClass.txt170 bytes
  434. 06. Summary~.mp44.7 MB
  435. using-unit-testing-python~.zip40.3 MB
  436. 01. Course Overview~.mp44.2 MB
  437. 01. What Is a Unit Test-~.mp43.9 MB
  438. 02. First Example Unit Test~.mp48.5 MB
  439. 03. Explanation of 'Test Case' and 'Test Runner'~.mp49.3 MB
  440. 04. Exception Checking with assertRaises & Explaination of 'Test Suite'~.mp45.0 MB
  441. 05. Skipping a Test Case & Explanation of 'Test Fixture'~.mp415.1 MB
  442. 06. Vocabulary Summary~.mp43.3 MB
  443. 07. Example of Poor Unit Test Design~.mp413.3 MB
  444. 08. Better Design with Arrange-Act-Assert~.mp412.7 MB
  445. 09. Detailed Design of Arrange-Act-Assert Test Parts~.mp415.1 MB
  446. 10. Module Summary~.mp41.0 MB
  447. 01. Introducing the Module Topics - Why and When~.mp42.1 MB
  448. 02. Unit Testing Helps You to Understand What to Build~.mp46.8 MB
  449. 03. Unit Testing Helps You to Document the Units~.mp45.4 MB
  450. 04. Unit Testing Helps You with Design~.mp412.1 MB
  451. 05. Unit Testing Helps You Detect Regression~.mp47.8 MB
  452. 06. Limitations of Unit Testing~.mp43.2 MB
  453. 07. Unit Testing Is Part of Your Job~.mp41.8 MB
  454. 08. Test-Last Process~.mp43.1 MB
  455. 09. Test-First Process~.mp45.3 MB
  456. 10. Test-Driven Development~.mp43.6 MB
  457. 11. Automated Build Servers and Continuous Integration~.mp46.3 MB
  458. 12. Module Summary~.mp4910.7 KB
  459. 01. Introducing pytest - a Popular Alternative to unittest~.mp44.1 MB
  460. 02. First Test Case and Failure Analysis~.mp47.8 MB
  461. 03. Using PyCharm's Test Runner~.mp45.7 MB
  462. 04. Additional Kinds of Assertion, Including assertRaises~.mp49.6 MB
  463. 05. Introduction to Test Fixtures~.mp47.2 MB
  464. 06. Cleaning up Fixture Resources, Chaining Fixtures~.mp413.1 MB
  465. 07. Organzing Test Code for Larger Programs~.mp48.7 MB
  466. 08. Using Markers to Control Which Tests Are Run~.mp416.2 MB
  467. 09. Using an HTML Report Plugin & Module Summary~.mp43.3 MB
  468. 01. Introducing doctest - Embed Unit Tests in Your Docstrings.mp45.8 MB
  469. 02. Introduction to Yatzy Example & a First doctest~.mp45.6 MB
  470. 03. Using a Test Runner to Execute Your Doctests~.mp46.7 MB
  471. 04. Interpreting Test Failures and Updating Your Docstring~.mp45.9 MB
  472. 05. Handling Output That Varies Using a Wildcard~.mp414.5 MB
  473. 06. Handling Random Numbers, Dictionaries, Floats, and Tracebacks.mp412.1 MB
  474. 07. Global Options and Directives~.mp49.5 MB
  475. 08. Regression Testing Your Tutorial Documentation~.mp412.5 MB
  476. 09. Module Summary~.mp41.1 MB
  477. 01. What Is a Test Double-~.mp43.1 MB
  478. 02. Example Using a Stub~.mp48.2 MB
  479. 03. Creating a Stub Using unittest.Mock~.mp45.7 MB
  480. 04. Example Using a Fake~.mp49.8 MB
  481. 05. Example Using a Dummy~.mp46.6 MB
  482. 06. Mocks and Spies Give You a Third Kind of Assertion~.mp43.2 MB
  483. 07. Example Using a Spy~.mp417.4 MB
  484. 08. Example Using a Mock~.mp415.5 MB
  485. 09. Overview of All the Types of Test Double~.mp42.4 MB
  486. 10. Using Monkeypatching to Insert a Test Double~.mp49.4 MB
  487. 11. Example Using Monkeypatching to Replace a Built-in Function~.mp46.7 MB
  488. 12. Module Summary~.mp4854.0 KB
  489. 01. Module Introduction~.mp4655.8 KB
  490. 02. Example Using Parameterized Tests with pytest~.mp49.5 MB
  491. 03. Example Using Parameterized Tests with unittest~.mp47.3 MB
  492. 04. Example Measuring Test Coverage~.mp48.6 MB
  493. 05. Example Measuring Branch Coverage~.mp47.6 MB
  494. 06. Example Adding Parameterized Tests to Existing Code with Coverage.mp417.6 MB
  495. 07. Tracking Coverage Trends~.mp42.2 MB
  496. 08. Good Uses for Coverage, and Alternatives for Assessing Test Quality.mp43.3 MB
  497. 09. Module Summary~.mp4725.3 KB
  498. Pluralsight - Advanced Python [AhLaN]~.jpg?042148189.5 KB
  499. Pluralsight - Full Stack Web Development with Python (WEB2PY) [AhLaN]~.jpg?042148189.5 KB
  500. Pluralsight - Managing Python Packages and Virtual Environments [AhLaN]~.jpg?042148834.4 KB
  501. Pluralsight - Python Best Practices for Code Quality [AhLaN]~.jpg?042148979.8 KB
  502. Pluralsight - Python – Beyond the Basics [AhLaN]~.jpg?04214880.5 KB
  503. Pluralsight - Unit Testing with Python [AhLaN]~.jpg?042148869.2 KB
  504. Post~.txt19.2 KB
  505. advanced-generators-and-coroutines~.zip8.3 MB
  506. 01. Course Overview~.mp43.2 MB
  507. 01. Just Give up the Next Item- Iteration~.mp48.9 MB
  508. 02. A Different Approach- Generators as Iterators.mp47.6 MB
  509. 03. When Performance Matters- Laziness vs. Eagerness.mp410.3 MB
  510. 04. Demo- Your First Generator~.mp416.6 MB
  511. 05. Summary~.mp41.5 MB
  512. 01. Much More Than Just Iteration- Pipeline Enabled Generators.mp415.4 MB
  513. 02. Why You Don’t Have to Remember All This- Itertools!.mp413.9 MB
  514. 03. Demo- All You Need Are Pipelines~.mp417.8 MB
  515. 04. Summary~.mp4861.4 KB
  516. 01. Generators Counterpart- Coroutines~.mp47.8 MB
  517. 02. Expanding on Coroutines- Priming and Yielding.mp414.8 MB
  518. 03. Getting the Final State out of Generators- Returning Values.mp48.3 MB
  519. 04. Yield Data Model- Iter, Next, Send, Close, Throw, and Return.mp414.2 MB
  520. 05. Demo- The First Coroutine~.mp48.7 MB
  521. 06. Summary~.mp42.0 MB
  522. 01. Delegate That Task! Yield from Explained.mp423.2 MB
  523. 02. Flow That Data with Coroutines~.mp48.9 MB
  524. 03. From Pipelines to Concurrency- How Coroutines Changed the World.mp419.7 MB
  525. 04. Demo- Putting It All Together; Creating Your Own Event Loop!.mp419.5 MB
  526. 05. Summary~.mp43.1 MB
  527. core-python-classes-object-orientation~.zip28.2 MB
  528. 01. Course Overview~.mp44.1 MB
  529. 01. Overview~.mp47.0 MB
  530. 02. Class Attributes~.mp417.7 MB
  531. 03. Static Methods~.mp47.5 MB
  532. 04. Class Methods~.mp420.2 MB
  533. 05. Static Methods with Inheritance~.mp414.2 MB
  534. 06. Class Methods with Inheritance~.mp420.1 MB
  535. 07. Properties~.mp427.5 MB
  536. 08. Properties and Inheritance~.mp431.8 MB
  537. 09. Overriding Properties with Template Methods.mp413.6 MB
  538. 10. Summary~.mp42.5 MB
  539. 01. Overview~.mp410.4 MB
  540. 02. Customizing repr()~.mp420.1 MB
  541. 03. Customizing str()~.mp414.6 MB
  542. 04. Customizing format()~.mp428.6 MB
  543. 05. Summary~.mp48.8 MB
  544. 01. Review- Single Inheritance~.mp411.0 MB
  545. 02. Type Inspection~.mp47.6 MB
  546. 03. Multiple Inheritance~.mp48.4 MB
  547. 04. Method Resolution Order~.mp49.7 MB
  548. 05. super()~.mp419.2 MB
  549. 06. Resolving the Mystery~.mp47.1 MB
  550. 07. Summary~.mp47.2 MB
  551. 01. Overview~.mp46.9 MB
  552. 02. Can We Synthesize a Method-~.mp47.1 MB
  553. 03. Making a Class Decorator~.mp425.6 MB
  554. 04. Class Decorator Factories~.mp429.7 MB
  555. 05. Summary~.mp42.5 MB
  556. 01. Data Classes~.mp45.1 MB
  557. 02. Defining Data Classes~.mp46.2 MB
  558. 03. Hash and Hashability~.mp45.0 MB
  559. 04. Dataclass Invariants~.mp49.8 MB
  560. 05. Summary~.mp45.0 MB
  561. core-python-functions-functional-programming~.zip11.1 MB
  562. 01. Course Overview~.mp44.2 MB
  563. 01. Review of Functions~.mp47.5 MB
  564. 02. Callable Instances~.mp46.4 MB
  565. 03. Classes Are Callable~.mp44.7 MB
  566. 04. Lambdas~.mp48.8 MB
  567. 05. Summary~.mp41.6 MB
  568. 01. Extended Formal Argument Syntax~.mp46.1 MB
  569. 02. Keyword and Positional-only Arguments.mp48.2 MB
  570. 03. Extended Call Syntax~.mp44.7 MB
  571. 04. Summary~.mp41.0 MB
  572. 01. Local Functions~.mp49.7 MB
  573. 02. Closures and Nested Scopes~.mp44.1 MB
  574. 03. The Nonlocal Keyword~.mp48.2 MB
  575. 04. Summary~.mp41.3 MB
  576. 01. Function Decorators~.mp47.0 MB
  577. 02. What Can Be a Decorator-~.mp44.9 MB
  578. 03. Applying Multiple Decorators~.mp43.5 MB
  579. 04. Preserving Function Metadata~.mp44.8 MB
  580. 05. Parameterized Decorators~.mp46.0 MB
  581. 01. Map~.mp49.3 MB
  582. 02. Filter~.mp42.7 MB
  583. 03. Reduce~.mp43.9 MB
  584. 04. Combining the Tools~.mp44.4 MB
  585. 01. Multi-input Comprehensions~.mp46.0 MB
  586. 02. Nested Comprehensions~.mp44.3 MB
  587. getting-started-python-core~.zip40.7 MB
  588. 01. Course Overview~.mp43.7 MB
  589. 01. Overview~.mp41.8 MB
  590. 02. Installing Python~.mp47.6 MB
  591. 03. Interactive Python~.mp44.0 MB
  592. 04. Significant Whitespace~.mp44.7 MB
  593. 05. Python Culture~.mp43.6 MB
  594. 06. The Python Standard Library~.mp48.0 MB
  595. 07. Summary~.mp42.2 MB
  596. 01. Overview~.mp45.6 MB
  597. 02. Relational Operators~.mp41.7 MB
  598. 03. Control Flow~.mp42.2 MB
  599. 04. While-loops~.mp44.8 MB
  600. 05. Summary~.mp41.8 MB
  601. 01. Overview~.mp41.2 MB
  602. 02. String~.mp42.4 MB
  603. 03. String Literals~.mp48.2 MB
  604. 04. Bytes~.mp42.7 MB
  605. 05. List~.mp41.9 MB
  606. 06. Dict~.mp41.7 MB
  607. 07. For-loop~.mp41.4 MB
  608. 08. Putting it all Together~.mp47.0 MB
  609. 09. Summary~.mp43.8 MB
  610. 01. Overview~.mp41.8 MB
  611. 02. Modules~.mp42.8 MB
  612. 03. Functions~.mp45.7 MB
  613. 04. __name__~.mp44.4 MB
  614. 05. The Python Execution Model~.mp42.5 MB
  615. 06. Command Line Arguments~.mp45.2 MB
  616. 07. Moment of Zen~.mp4850.1 KB
  617. 08. Docstrings~.mp42.5 MB
  618. 09. Comments~.mp4984.8 KB
  619. 10. Shebang~.mp42.1 MB
  620. 11. Summary~.mp43.6 MB
  621. 01. Overview~.mp47.9 MB
  622. 02. Passing Arguments and Returning Values~.mp44.6 MB
  623. 03. Function Arguments~.mp46.4 MB
  624. 04. Python's Type System~.mp41.4 MB
  625. 05. Scopes~.mp45.3 MB
  626. 06. Moment of Zen~.mp4774.5 KB
  627. 07. Everything is an Object~.mp41.9 MB
  628. 08. Summary~.mp44.0 MB
  629. 01. Overview~.mp4959.8 KB
  630. 02. Tuples~.mp45.2 MB
  631. 03. Strings~.mp410.9 MB
  632. 04. Ranges~.mp43.0 MB
  633. 05. Lists~.mp411.9 MB
  634. 06. Dictionaries~.mp49.0 MB
  635. 07. Sets~.mp47.9 MB
  636. 08. Protocols~.mp42.9 MB
  637. 09. Summary~.mp44.1 MB
  638. 01. Overview~.mp43.5 MB
  639. 02. Exceptions and Control Flow~.mp41.9 MB
  640. 03. Handling Exceptions~.mp43.4 MB
  641. 04. Exceptions and Programmer Errors~.mp43.2 MB
  642. 05. Re-raising Exceptions~.mp42.3 MB
  643. 06. Exceptions Are Part of the API~.mp45.8 MB
  644. 07. Exceptions and Protocols~.mp42.5 MB
  645. 08. Avoid Explicit Type Checks~.mp41.4 MB
  646. 09. It's Easier to Ask Forgiveness Than Permission~.mp44.0 MB
  647. 10. Cleanup Actions~.mp42.8 MB
  648. 11. Platform-Specific Code~.mp44.4 MB
  649. 12. Summary~.mp43.3 MB
  650. 01. Overview~.mp42.1 MB
  651. 02. List and Set Comprehensions~.mp43.6 MB
  652. 03. DIctionary Comprehensions~.mp42.9 MB
  653. 04. Filtering Comprehensions~.mp41.4 MB
  654. 05. Moment of Zen~.mp41.1 MB
  655. 06. Iteration Protocols~.mp43.7 MB
  656. 07. Generator Functions~.mp44.6 MB
  657. 08. Maintaining State in Generators~.mp43.9 MB
  658. 09. Laziness and the Infinite~.mp42.0 MB
  659. 10. Generator Expressions~.mp43.3 MB
  660. 11. Iteration Tools~.mp45.8 MB
  661. 12. Summary~.mp42.6 MB
  662. 01. Overview~.mp41.8 MB
  663. 02. Classes~.mp41.6 MB
  664. 03. Defining Classes~.mp42.4 MB
  665. 04. Instance Methods~.mp41.6 MB
  666. 05. Instance Initializers~.mp49.7 MB
  667. 06. A Second Class~.mp45.2 MB
  668. 07. Collaborating Classes~.mp43.4 MB
  669. 08. Moment of Zen~.mp4834.6 KB
  670. 09. Booking Seats~.mp413.7 MB
  671. 10. Methods for Implementation Details~.mp47.3 MB
  672. 11. Object-Oriented Design with Function Objects~.mp46.8 MB
  673. 12. Polymorphism and Duck Typing~.mp47.8 MB
  674. 13. Inheritance and Implementation Sharing~.mp47.4 MB
  675. 14. Summary~.mp45.5 MB
  676. 01. Overview~.mp41.9 MB
  677. 02. Opening Files~.mp44.1 MB
  678. 03. Writing Text~.mp45.5 MB
  679. 04. Reading Text~.mp43.6 MB
  680. 05. Appending Text~.mp41.1 MB
  681. 06. Iterating over Files~.mp41.8 MB
  682. 07. Closing Files with Finally~.mp45.9 MB
  683. 08. With-blocks~.mp41.9 MB
  684. 09. Moment of Zen~.mp4880.0 KB
  685. 10. Binary Files~.mp413.2 MB
  686. 11. Bitwise Operators~.mp41.3 MB
  687. 12. Pixel Data~.mp42.5 MB
  688. 13. Reading Binary Data~.mp43.1 MB
  689. 14. File-like Objects~.mp44.4 MB
  690. 15. Context Managers~.mp42.7 MB
  691. 16. Summary~.mp43.6 MB
  692. core-python-hashing-more-collections~.zip5.3 MB
  693. 01. Course Overview~.mp43.3 MB
  694. 01. Introduction~.mp43.8 MB
  695. 02. Sequence Types~.mp42.7 MB
  696. 03. Demo- Sequence Types~.mp420.1 MB
  697. 04. Mapping Types~.mp42.0 MB
  698. 05. Demo- Mapping Types~.mp48.7 MB
  699. 06. Set and Summary~.mp42.6 MB
  700. 01. Introduction~.mp46.3 MB
  701. 02. Demo- Hashing~.mp417.4 MB
  702. 03. Collisions and Equality~.mp411.2 MB
  703. 04. Demo- Hashing and Equality~.mp49.4 MB
  704. 05. Demo- Hash Immutability~.mp44.6 MB
  705. 06. More on Immutability~.mp41.8 MB
  706. 07. Dataclass and Summary~.mp44.6 MB
  707. 01. Introduction~.mp42.5 MB
  708. 02. Demo- defaultdict~.mp417.7 MB
  709. 03. Counter + Demo~.mp439.2 MB
  710. 04. OrderedDict + Demo~.mp412.6 MB
  711. 05. Summary~.mp4541.2 KB
  712. 01. Introduction~.mp410.1 MB
  713. 02. Demo- namedtuple~.mp413.4 MB
  714. 03. deque~.mp46.2 MB
  715. 04. Demo- deque~.mp48.3 MB
  716. 05. Summary~.mp4756.3 KB
  717. core-python-implementing-iterators-iterables-collections~.zip14.2 MB
  718. 01. Course Overview~.mp43.7 MB
  719. 01. Iterators and Iterables~.mp411.1 MB
  720. 02. Motivating Iterators- Tree Traversals.mp45.1 MB
  721. 03. Breath-first, Level-order Iterator.mp412.5 MB
  722. 04. Depth-first, Pre-order Iterator~.mp410.4 MB
  723. 05. Depth-first, In-order Iterator~.mp410.1 MB
  724. 06. Filtering Iterators~.mp411.6 MB
  725. 07. Transforming Iterators~.mp47.6 MB
  726. 08. Iterables~.mp410.1 MB
  727. 09. The Alternative Iterable Protocol.mp47.9 MB
  728. 10. The Extended iter() Form~.mp47.0 MB
  729. 11. Summary~.mp42.2 MB
  730. 01. Collection Protocols~.mp49.7 MB
  731. 01. The Construction Convention.mp413.9 MB
  732. 01. The Container Protocol~.mp415.7 MB
  733. 01. The Sized Protocol~.mp414.5 MB
  734. 01. The Iterable Protocol~.mp417.3 MB
  735. 01. The Sequence Protocol~.mp42.0 MB
  736. 02. Indexing~.mp47.9 MB
  737. 03. Slicing~.mp412.0 MB
  738. 04. String Representation~.mp49.3 MB
  739. 05. Value Equality~.mp412.7 MB
  740. 06. Value Inequality~.mp44.2 MB
  741. 07. The Hashable Protocol~.mp414.7 MB
  742. 08. Reversing a Sequence~.mp45.1 MB
  743. 09. The index() Method~.mp47.9 MB
  744. 10. The count() Method~.mp46.0 MB
  745. 11. The Extended Sequence Protocol~.mp421.7 MB
  746. 01. Refactoring for Performance.mp46.9 MB
  747. 02. Checking Performance~.mp429.4 MB
  748. 01. The Collection Abstract Base Classes.mp415.1 MB
  749. 01. The Set Protocol~.mp420.0 MB
  750. 02. Going Further- Mutability~.mp43.3 MB
  751. 03. Summary~.mp42.9 MB
  752. core-python-introspection~.zip4.0 MB
  753. 01. Course Overview~.mp43.1 MB
  754. 01. Introspecting Types~.mp45.3 MB
  755. 01. Introspecting Objects~.mp45.8 MB
  756. 02. Example- Mixed Numerals~.mp42.6 MB
  757. 03. Summary~.mp41.6 MB
  758. 01. Introspecting Scopes~.mp46.5 MB
  759. 01. The Inspect Module~.mp413.7 MB
  760. 01. An Object Introspection Tool~.mp426.4 MB
  761. 02. Summary~.mp42.3 MB
  762. core-python-numeric-types-dates-times~.zip8.6 MB
  763. 01. Course Overview~.mp43.1 MB
  764. 01. Review of int and float~.mp47.7 MB
  765. 01. Construction~.mp43.8 MB
  766. 02. Fractional Values, Precision, and Special Values~.mp43.8 MB
  767. 03. Combining with Other Types~.mp46.2 MB
  768. 04. Summary~.mp41.6 MB
  769. 01. Construction~.mp42.7 MB
  770. 02. Arithmetic and Operations~.mp43.7 MB
  771. 01. Construction~.mp43.6 MB
  772. 02. Operations~.mp41.7 MB
  773. 03. A Practical Example~.mp42.3 MB
  774. 01. Built-in Functions for Numbers~.mp43.8 MB
  775. 02. Base Conversions~.mp43.2 MB
  776. 01. The Datetime Module~.mp43.1 MB
  777. 02. Dates~.mp44.8 MB
  778. 03. Times~.mp41.7 MB
  779. 04. Combined Dates and Times~.mp45.0 MB
  780. 05. Durations~.mp42.2 MB
  781. 06. Timezones~.mp43.1 MB
  782. 07. Summary~.mp41.7 MB
  783. 01. Example Problem- Collinearity~.mp47.1 MB
  784. 02. Implementing with float and Fraction~.mp45.0 MB
  785. 03. Visualizing the Results~.mp44.8 MB
  786. core-python-organizing-larger-programs~.zip4.0 MB
  787. 01. Course Overview~.mp43.4 MB
  788. 01. Prerequisites~.mp44.8 MB
  789. 02. Introduction to Packages~.mp42.6 MB
  790. 03. Locating Modules~.mp45.0 MB
  791. 04. Summary~.mp4942.2 KB
  792. 01. Creating Packages~.mp47.0 MB
  793. 02. Creating a Subpackage~.mp49.5 MB
  794. 03. Relative Imports~.mp47.9 MB
  795. 04. Using __all__~.mp45.5 MB
  796. 01. Namespace Packages~.mp44.7 MB
  797. 02. Executable Directories~.mp43.9 MB
  798. 03. Executable Zip Files~.mp41008.9 KB
  799. 04. Executable Packages~.mp45.2 MB
  800. 01. Python Project Structure~.mp46.1 MB
  801. 02. A Concrete Example- demo_reader~.mp41.8 MB
  802. 03. Implementing Plugins with Namespace Packages~.mp46.6 MB
  803. 04. Implementing Plugins with setuptools~.mp45.8 MB
  804. 01. Source Distributions~.mp43.4 MB
  805. 02. Built Distributions~.mp43.3 MB
  806. 03. Uploading Packages to a Package Server~.mp46.1 MB
  807. 04. Summary~.mp41.4 MB
  808. core-python-robust-resource-error-handling~.zip13.6 MB
  809. 01. Course Overview~.mp43.5 MB
  810. 01. Review~.mp46.7 MB
  811. 01. Exception Hierarchies~.mp412.3 MB
  812. 01. Exception Payloads~.mp49.4 MB
  813. 01. User-defined Exceptions~.mp47.7 MB
  814. 01. Implicit Chaining~.mp46.2 MB
  815. 02. Explicit Chaining~.mp45.9 MB
  816. 01. Tracebacks~.mp46.5 MB
  817. 01. Assertions and Invariants~.mp48.5 MB
  818. 02. Class Invariants~.mp44.0 MB
  819. 03. Assertions and Performance~.mp43.4 MB
  820. 04. Postconditions- A Practical Example~.mp417.0 MB
  821. 01. Introduction~.mp45.1 MB
  822. 02. The Context Manager Protocol~.mp410.1 MB
  823. 03. Implementing a Context Manager~.mp48.4 MB
  824. 04. Expansion of the With-statement~.mp43.0 MB
  825. 01. The Context Manager Decorator~.mp410.7 MB
  826. 01. Multiple Context Managers~.mp410.4 MB
  827. 01. Modeling Database Transactions.mp49.9 MB
  828. core-python-numeric-tower-conversion-operators~.zip431.0 KB
  829. 01. Course Overview~.mp42.5 MB
  830. 01. Introduction~.mp43.2 MB
  831. 02. Built-in Types Jup~.mp47.7 MB
  832. 03. Decimals Jup~.mp47.2 MB
  833. 04. Fractions Jup~.mp49.6 MB
  834. 05. Integers~.mp42.9 MB
  835. 06. Integers Jup~.mp413.7 MB
  836. 07. Fractions~.mp46.9 MB
  837. 08. Cups Example Jup~.mp433.5 MB
  838. 09. Floats~.mp412.6 MB
  839. 10. Interest Jup~.mp439.4 MB
  840. 01. Example~.mp42.0 MB
  841. 02. Vector Jup~.mp419.5 MB
  842. python-big-picture~.zip2.5 MB
  843. 01. Course Overview~.mp42.9 MB
  844. 01. Introduction~.mp41.2 MB
  845. 02. Getting the Most from This Course~.mp41.6 MB
  846. 03. What Is Python-~.mp45.4 MB
  847. 04. Why Should Developers Care-~.mp48.0 MB
  848. 05. What Makes Python Different-~.mp43.4 MB
  849. 06. Summary~.mp4574.1 KB
  850. 01. Introduction~.mp41.1 MB
  851. 02. Linux Scripting and Administration~.mp429.4 MB
  852. 03. Web Development~.mp410.7 MB
  853. 04. Application Scripting~.mp416.2 MB
  854. 05. Data Science~.mp46.1 MB
  855. 06. Summary~.mp41.1 MB
  856. 01. Introduction~.mp41.3 MB
  857. 02. The Basics~.mp47.2 MB
  858. 03. Learning and Documentation~.mp46.9 MB
  859. 04. Working with the Code of Others~.mp46.6 MB
  860. 01. Introduction~.mp41.3 MB
  861. 02. Python 2 vs. Python 3~.mp43.6 MB
  862. 03. Executing Python Code~.mp432.6 MB
  863. 04. Summary~.mp42.2 MB
  864. Pluralsight - Advanced Generators and Coroutines [AhLaN]~.jpg?042148855.7 KB
  865. Pluralsight - Core Python- Classes and Object-orientation [AhLaN]~.jpg?042148774.5 KB
  866. Pluralsight - Core Python- Functions and Functional Programming [AhLaN]~.jpg?042148807.3 KB
  867. Pluralsight - Core Python- Getting Started [AhLaN]~.jpg?042148782.7 KB
  868. Pluralsight - Core Python- Hashing and More Collections [AhLaN]~.jpg?042148774.2 KB
  869. Pluralsight - Core Python- Implementing Iterators, Iterables and Collections [AhLaN]~.jpg?042148726.2 KB
  870. Pluralsight - Core Python- Introspection [AhLaN]~.jpg?042148915.3 KB
  871. Pluralsight - Core Python- Numeric Types, Dates, and Times [AhLaN]~.jpg?042148706.0 KB
  872. Pluralsight - Core Python- Organizing Larger Programs [AhLaN]~.jpg?0421481.1 MB
  873. Pluralsight - Core Python- Robust Resource and Error Handling [AhLaN]~.jpg?042148824.3 KB
  874. Pluralsight - Core Python- The Numeric Tower, Conversion, and Operators [AhLaN]~.jpg?042148936.5 KB
  875. Pluralsight - Python- The Big Picture [AhLaN]~.jpg?042148189.5 KB
  876. building-first-python-analytics-solution~.zip2.6 MB
  877. 01. Course Overview~.mp44.0 MB
  878. 01. Module Overview~.mp42.1 MB
  879. 02. Prerequisites and Course Outline~.mp41.8 MB
  880. 03. Python for Data Analytics~.mp48.6 MB
  881. 04. Python Development Environments~.mp47.0 MB
  882. 05. Python Packages~.mp46.4 MB
  883. 06. Demo- Windows - Installing Python and Using Pip to Install Packages.mp48.3 MB
  884. 07. Demo- MacOS - Using Brew to Install Python 3.mp49.3 MB
  885. 08. Demo- MacOS - Using Pip to Install Packages.mp47.7 MB
  886. 09. Demo- Installing and Working with Virtual Environments.mp47.3 MB
  887. 10. Demo- Editing a Python Script Using Nano and Vim.mp45.4 MB
  888. 11. Demo- Editing a Python Script Using SublimeText.mp46.7 MB
  889. 12. Demo- Using Online Editors to Write Python Code.mp47.0 MB
  890. 13. Module Summary~.mp42.3 MB
  891. 01. Module Overview~.mp42.1 MB
  892. 02. Introducing Jupyter Notebooks~.mp45.1 MB
  893. 03. Demo- Windows Installing Anaconda and Running Jupyter Notebooks.mp46.7 MB
  894. 04. Demo- Mac OS Installing Anaconda and Running Jupyter Notebooks.mp413.2 MB
  895. 05. Demo- Installing the Python 2 Kernel along with Python 3.mp48.5 MB
  896. 06. Demo- Executing Code in Jupyter~.mp46.6 MB
  897. 07. Demo- Restarting and Switching Kernels~.mp49.6 MB
  898. 08. Demo- Exploring Magic Commands~.mp49.8 MB
  899. 09. Demo- Line Magic and Cell Magic Commands.mp48.1 MB
  900. 10. Demo- Exploring Interactive Widgets~.mp48.8 MB
  901. 11. Demo- Wrangling and Visualizing Data~.mp410.4 MB
  902. 12. Module Summary~.mp42.2 MB
  903. 01. Module Overview~.mp42.7 MB
  904. 02. Exploring Popular IDEs for Python~.mp43.7 MB
  905. 03. Demo- Installing and Setting up IDLE~.mp411.2 MB
  906. 04. Demo- Running and Debugging Code with IDLE.mp415.7 MB
  907. 05. Demo- Installing Eclipse and Setting up the PyDev Plugin.mp413.3 MB
  908. 06. Demo- Running and Debugging Code with Eclipse.mp418.4 MB
  909. 07. Demo- Installing and Setting up PyCharm.mp411.4 MB
  910. 08. Demo- Running and Debugging Code with PyCharm.mp418.4 MB
  911. 09. Demo- Working with Spyder~.mp418.3 MB
  912. 10. Module Summary~.mp42.0 MB
  913. 01. Module Overview~.mp42.4 MB
  914. 02. Jupyter on the Cloud~.mp45.6 MB
  915. 03. Demo- Getting Started with Azure Notebooks.mp49.3 MB
  916. 04. Demo- Analyzing and Visualizing Data on Azure Notebooks.mp417.9 MB
  917. 05. Demo- Setting up and Connecting to Cloud Datalab on the GCP.mp414.5 MB
  918. 06. Demo- Building a Simple Regression Model on Datalab.mp411.8 MB
  919. 07. Demo- Setting up a SageMaker Notebook Instance on AWS.mp411.0 MB
  920. 08. Demo- Executing Code to Integrate with S3 Buckets.mp412.0 MB
  921. 09. Summary and Further Study~.mp42.5 MB
  922. cleaning-data-python-data-playbook~.zip4.8 MB
  923. 01. Course Overview~.mp44.2 MB
  924. 01. Introduction~.mp43.5 MB
  925. 02. Viewing and Converting Types~.mp49.9 MB
  926. 03. Aggregating Data~.mp48.8 MB
  927. 04. Normalizing Data~.mp48.1 MB
  928. 05. Transforming Data~.mp48.3 MB
  929. 06. Filtering Data~.mp47.0 MB
  930. 07. Review~.mp42.0 MB
  931. 01. Introduction~.mp42.7 MB
  932. 02. Dropping Columns~.mp411.1 MB
  933. 03. Changing Column Casing~.mp45.9 MB
  934. 04. Renaming Columns~.mp410.3 MB
  935. 05. Review~.mp42.2 MB
  936. 01. Introduction~.mp41.6 MB
  937. 02. Direct Filtering with Square Brackets~.mp49.3 MB
  938. 03. Data Indexing with .loc~.mp48.6 MB
  939. 04. Using .iloc to Access Specific Rows or Columns~.mp49.9 MB
  940. 05. Filtering Data with str.contains~.mp412.6 MB
  941. 06. Review~.mp42.5 MB
  942. 01. Introduction~.mp42.3 MB
  943. 02. Stripping White Space~.mp46.1 MB
  944. 03. Replacing Bad Data with NaN~.mp413.0 MB
  945. 04. Filling Missing Data with a Value~.mp45.4 MB
  946. 05. Dropping Rows of Data~.mp49.3 MB
  947. 06. Identifying and Dropping Duplicate Data~.mp415.1 MB
  948. 07. Review~.mp43.0 MB
  949. create-share-analytics-jupyter-notebooks~.zip11.1 MB
  950. 01. Course Overview~.mp44.6 MB
  951. 01. Module Overview~.mp42.2 MB
  952. 02. Prerequisites and Course Outline.mp42.0 MB
  953. 03. Introducing Jupyter Notebooks~.mp48.9 MB
  954. 04. Demo- Windows - Installing Anaconda and Jupyter Notebooks.mp411.9 MB
  955. 05. Demo- Windows - Installing Jupyter Notebooks Using Pip.mp410.8 MB
  956. 06. Demo- MacOS - Installing Anaconda and Jupyter Notebooks.mp414.8 MB
  957. 07. Demo- MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Installer.mp413.6 MB
  958. 08. Demo- Running Jupyter Notebooks and Jupyter Lab in Docker Containers.mp49.7 MB
  959. 09. Demo- MacOS - Installing Jupyter Lab Using Pip.mp412.8 MB
  960. 10. Module Summary~.mp42.0 MB
  961. 01. Module Overview~.mp42.1 MB
  962. 02. Demo- Exploring the Notebook Interface~.mp412.2 MB
  963. 03. Demo- Restarting the Kernel~.mp48.9 MB
  964. 04. Demo- Customizing Shortcuts~.mp49.5 MB
  965. 05. Demo- Notebook Limits and Shutting down Kernels.mp49.3 MB
  966. 06. Demo- Using Python 2 and Python 3 Kernels.mp410.3 MB
  967. 07. Demo- Using R and Python 3 Kernels~.mp45.4 MB
  968. 08. Demo- Exploring Line and Cell Magic Commands.mp415.6 MB
  969. 09. Module Summary~.mp42.2 MB
  970. 01. Module Overview~.mp42.1 MB
  971. 02. Demo- Analyzing and Visualizing Data.mp414.8 MB
  972. 03. Demo- Exploring Interactive Widgets.mp414.8 MB
  973. 04. Demo- Adding Interactivity to Custom Functions.mp414.2 MB
  974. 05. Demo- Save, Checkpoint, and Export Notebooks.mp44.1 MB
  975. 06. Demo- Share Notebooks on Github.mp414.9 MB
  976. 07. Module Summary~.mp42.3 MB
  977. 01. Module Overview~.mp43.2 MB
  978. 02. Running Hosted Jupyter Notebooks on the Cloud.mp45.9 MB
  979. 03. Demo- Creating and Working with Notebook Instances on Amazon SageMaker.mp413.4 MB
  980. 04. Demo- Uploading Notebooks to SageMaker and Using the Terminal Window.mp48.6 MB
  981. 05. Demo- Exploring and Working with Azure Notebooks.mp49.9 MB
  982. 06. Demo- Hosted Notebooks on a GCP Deep Learning Virtual Machine.mp410.9 MB
  983. 07. Demo- Uploading Files and Running Code on GCP.mp47.8 MB
  984. 08. Summary and Further Study~.mp42.4 MB
  985. data-wrangling-python~.zip3.3 MB
  986. 01. Course Overview~.mp43.1 MB
  987. 01. Course and Module Introduction~.mp42.7 MB
  988. 02. Software and Course Prerequisites~.mp42.0 MB
  989. 03. Concatenating Datasets~.mp411.5 MB
  990. 04. Merging Datasets~.mp47.0 MB
  991. 05. Merge Keys~.mp44.9 MB
  992. 06. The How Parameter~.mp45.2 MB
  993. 07. Demo- Disambiguating Merged Columns and Updating Dataframes.mp43.3 MB
  994. 08. Summary~.mp42.3 MB
  995. 01. Module Introduction~.mp41.2 MB
  996. 02. The GroupBy Function~.mp43.3 MB
  997. 03. Demo- Why and How to Use the GroupBy Function~.mp48.6 MB
  998. 04. Filter and Transform with GroupBy~.mp45.5 MB
  999. 05. Demo- Grouping Multi-index Data~.mp44.4 MB
  1000. 01. Module Introduction~.mp41.7 MB
  1001. 02. Normalizing Data - What and Why~.mp43.1 MB
  1002. 03. Simple Feature Scaling~.mp43.5 MB
  1003. 04. Min-max Scaling~.mp43.4 MB
  1004. 05. Z-score Normalization~.mp43.6 MB
  1005. 06. Points to Consider for Data Normalization and Summary~.mp43.6 MB
  1006. 01. Module Introduction~.mp41.4 MB
  1007. 02. Introduction to Data Reshaping~.mp43.7 MB
  1008. 03. Reshape Long Data to Wide Data with the Pivot Function~.mp46.1 MB
  1009. 04. Reshape Wide Data to Long Using the Melt Function~.mp43.6 MB
  1010. 05. Reshape Data Using the Stack and Unstack Functions~.mp44.1 MB
  1011. 06. Reshaping and Aggregation with Pivot Table~.mp43.5 MB
  1012. 07. Summary~.mp41020.9 KB
  1013. 01. Module Introduction~.mp41.6 MB
  1014. 02. One-hot Encoding~.mp43.7 MB
  1015. 03. Demo- Convert Categorical Values Using One-hot Encoding~.mp46.1 MB
  1016. 04. Create Dummy Variables with Pandas~.mp44.9 MB
  1017. 05. Create Frequency Table with the Crosstab Function~.mp47.9 MB
  1018. 06. Summary and Feedback~.mp41.8 MB
  1019. python-importing-data-playbook~.zip18.3 MB
  1020. 01. Course Overview~.mp44.4 MB
  1021. 01. Importing Text Data into Python Using NumPy.mp415.3 MB
  1022. 02. Importing Flat Files and Numeric Data Using NumPy.mp417.0 MB
  1023. 01. Importing CSV Data into Python Using csv and pandas.mp41.5 MB
  1024. 02. Importing CSV Files Using the Python csv Module.mp417.4 MB
  1025. 03. Importing Text and CSV Files Using pandas.mp436.2 MB
  1026. 01. Importing Data into Python from JSON and XML Files.mp42.6 MB
  1027. 02. Importing Data into Python from JSON Using the JSON Library.mp439.4 MB
  1028. 03. Importing Data into Python from XML Using the ElementTree XML API.mp417.7 MB
  1029. 01. Importing Data into Python from Excel Files.mp41.8 MB
  1030. 02. Importing Excel Files Using pandas~.mp422.4 MB
  1031. 01. Importing Data into Python from Common Binary Data File Formats.mp41.1 MB
  1032. 02. Reading SAS Files with pandas.mp46.6 MB
  1033. 03. Reading Stata Files with pandas.mp45.2 MB
  1034. 04. Reading HDF5 Files~.mp46.5 MB
  1035. 05. Reading Matlab Files~.mp43.1 MB
  1036. 06. Reading Pickle Files~.mp47.1 MB
  1037. 01. Importing Data into Python from Relational Databases.mp41.8 MB
  1038. 02. Importing sqlite Database Files~.mp48.6 MB
  1039. 03. Taking Advantage of pandas DataFrames When Querying sqlite.mp43.4 MB
  1040. 04. Working with Databases Using SQLAlchemy.mp48.1 MB
  1041. 05. Importing Data from Relational Databases with pandas (MySQL).mp48.5 MB
  1042. 06. Working with PostgreSQL with psycopg2 and SQLAlchemy.mp43.8 MB
  1043. 07. Importing Relational Data~.mp44.7 MB
  1044. leveraging-online-resources-python-analytics~.zip3.3 MB
  1045. 01. Course Overview~.mp43.7 MB
  1046. 01. Module Overview~.mp41.8 MB
  1047. 02. Prerequisites and Course Outline~.mp41.7 MB
  1048. 03. Python for Data Analysts~.mp49.4 MB
  1049. 04. Python Resources for Analysts~.mp46.8 MB
  1050. 05. Demo- Exploring Online Resources~.mp424.2 MB
  1051. 06. Workflows in Data Analytics~.mp47.5 MB
  1052. 07. Demo- Cleaning Data~.mp411.1 MB
  1053. 08. Demo- Summary Statistics and Basic Analysis.mp44.9 MB
  1054. 09. Demo- Visualizing Relationships in Data.mp49.6 MB
  1055. 10. Demo- Sharing Visualizations Online Using Plotly.mp412.6 MB
  1056. 11. Demo- Prototyping a Classifier~.mp45.6 MB
  1057. 12. Demo- Writing a Python Script for a Classification Model.mp415.2 MB
  1058. 13. Module Summary~.mp41.8 MB
  1059. 01. Module Overview.mp42.0 MB
  1060. 02. Introducing Big ML.mp43.9 MB
  1061. 03. Demo- Getting Started with Big ML.mp43.4 MB
  1062. 04. Demo- Configuring Data Sources and Creating Datasets.mp421.4 MB
  1063. 05. Demo- Data Preparation and Visualization.mp415.2 MB
  1064. 06. Demo- Splitting into Training and Test Subsets.mp44.9 MB
  1065. 07. Demo- Building Models.mp412.3 MB
  1066. 08. Demo- Evaluating Models.mp44.5 MB
  1067. 09. Demo- Batch and Individual Predictions.mp414.1 MB
  1068. 10. Demo- Clustering.mp411.8 MB
  1069. 11. Demo- Anomaly Detection.mp48.0 MB
  1070. 12. Module Summary.mp42.0 MB
  1071. 01. Module Overview~.mp42.0 MB
  1072. 02. Introducing Google Colab.mp42.8 MB
  1073. 03. Demo- Introducing the Google Colab Interface.mp48.6 MB
  1074. 04. Demo- Colab Notebooks—Similar yet Different.mp44.5 MB
  1075. 05. Demo- Interactive Forms.mp49.6 MB
  1076. 06. Demo- Accessing Google Drive Contents from Colab.mp45.0 MB
  1077. 07. Demo- Widgets~.mp410.6 MB
  1078. 08. Demo- Building a Regression Model.mp411.7 MB
  1079. 09. Demo- Integrating with Github.mp45.9 MB
  1080. 10. Summary and Further Study.mp42.4 MB
  1081. python-programming-using-ide~.zip9.0 MB
  1082. 01. Course Overview~.mp44.3 MB
  1083. 01. Programming Python Using an IDE! But Why- And Which One-.mp418.7 MB
  1084. 02. Code Editors vs. Integrated Development Environments.mp43.4 MB
  1085. 03. Overview of Available Code Editors for Python.mp428.9 MB
  1086. 04. Configuring Python Features for Specific Code Editors.mp429.7 MB
  1087. 05. Takeaway~.mp42.7 MB
  1088. 01. Improving Your Productivity Programming in Python with an IDE.mp421.4 MB
  1089. 02. Customizing IDEs~.mp422.8 MB
  1090. 03. Features That Improve Productivity Coding with an IDE.mp419.7 MB
  1091. 04. Organizing, Navigating, Refactoring, and Styling Code.mp431.6 MB
  1092. 05. Running and Debugging Python Code with an IDE.mp426.3 MB
  1093. 06. Integrating with Version Control Using an IDE.mp425.8 MB
  1094. 07. Working with Databases in Python Using an IDE.mp47.9 MB
  1095. 08. Unit Testing with an IDE~.mp47.6 MB
  1096. 09. Takeaway~.mp43.8 MB
  1097. 01. Leveraging a Python IDE for Data Science~.mp44.2 MB
  1098. 02. Leveraging Data Science and Scientific Tools in PyCharm.mp45.4 MB
  1099. 03. Working with an IDE Built for Scientific Python- Spyder.mp44.9 MB
  1100. 04. Using Jupyter Notebook for Data Science~.mp48.1 MB
  1101. 05. Using Apache Zeppelin for Data Science~.mp44.8 MB
  1102. 06. Cloudera Data Science Workbench for Data Science at Scale.mp410.3 MB
  1103. 07. Takeaway~.mp41.7 MB
  1104. 01. Final Takeaway~.mp43.0 MB
  1105. pygal-python-data-playbook~.zip5.5 MB
  1106. 01. Course Overview~.mp44.2 MB
  1107. 01. Overview~.mp42.2 MB
  1108. 02. Introducing Pygal~.mp45.1 MB
  1109. 03. Vector and Raster Images~.mp47.8 MB
  1110. 04. The SVG Format~.mp44.5 MB
  1111. 05. Install Pygal~.mp48.3 MB
  1112. 06. Interacting with Pygal Charts~.mp411.3 MB
  1113. 07. Plot Data from a CSV File~.mp412.0 MB
  1114. 08. Stacked Bar Charts~.mp47.6 MB
  1115. 01. Overview~.mp42.1 MB
  1116. 02. Construct a Basic Pie Chart~.mp411.8 MB
  1117. 03. Donut and Half Pie Charts~.mp48.9 MB
  1118. 04. Chart, Serie, and Value Configurations~.mp411.2 MB
  1119. 05. Defining Styles and Configs~.mp410.7 MB
  1120. 06. Introducing Line and Datetimeline Charts~.mp410.2 MB
  1121. 07. Plotting Real Data with Line and Dateline Charts~.mp49.4 MB
  1122. 08. Introducing XY Plots~.mp46.8 MB
  1123. 09. Exploring Real Data with XY Plots~.mp412.8 MB
  1124. 10. Summary~.mp41020.5 KB
  1125. 01. Overview~.mp4923.3 KB
  1126. 02. Plotting Histograms~.mp47.1 MB
  1127. 03. Pyramid Charts~.mp48.4 MB
  1128. 04. Visualizing Distributions with Box Plots~.mp411.4 MB
  1129. 05. Constructing a Map Visualization~.mp412.8 MB
  1130. 06. Generating Radar Plots~.mp413.1 MB
  1131. 07. Constructing a Funnel Visualization~.mp47.9 MB
  1132. 08. Creating Gauge Plots~.mp410.2 MB
  1133. 09. Solid Gauge Plots~.mp47.0 MB
  1134. 10. Constructing a Dot Plot~.mp412.8 MB
  1135. 11. Representing Negative Values in a Dot Plot~.mp44.3 MB
  1136. 12. Building a Treemap Visualization~.mp411.2 MB
  1137. 13. Summary~.mp4730.0 KB
  1138. 01. Overview~.mp41.2 MB
  1139. 02. Rendering Charts to Image Files~.mp415.5 MB
  1140. 03. Rendering Charts to Specialized Formats~.mp415.8 MB
  1141. 04. PyQuery and Pygal~.mp412.8 MB
  1142. 05. Building Sparklines~.mp45.4 MB
  1143. 06. Building a Flask App to Render Pygal Charts~.mp410.6 MB
  1144. 07. Testing the Flask App~.mp43.3 MB
  1145. 08. Summary~.mp42.2 MB
  1146. python-data-analysts~.zip2.4 MB
  1147. 01. Course Overview~.mp43.3 MB
  1148. 01. Module Overview~.mp41.8 MB
  1149. 02. Prerequisites and Course Outline~.mp41.7 MB
  1150. 03. Python for Data Analysts~.mp44.5 MB
  1151. 04. Essential Analytical Building Blocks~.mp47.4 MB
  1152. 05. Demo- Installing Anaconda Python on MacOS~.mp49.1 MB
  1153. 06. Demo- Installing Anaconda Python on Windows~.mp48.9 MB
  1154. 07. Demo- Simple Expressions~.mp411.0 MB
  1155. 08. Demo- Logical Operations~.mp48.5 MB
  1156. 09. Demo- Variables~.mp49.9 MB
  1157. 10. Demo- Basic Types and Type Conversions~.mp47.5 MB
  1158. 11. Demo- Simple Strings and Multi-line Strings~.mp46.5 MB
  1159. 12. Module Summary~.mp41.8 MB
  1160. 01. Module Overview~.mp42.0 MB
  1161. 02. Demo- Introducing Built-in Functions~.mp411.5 MB
  1162. 03. Demo- String Functions, Return Values, and Nested Function Invocations.mp410.9 MB
  1163. 04. Demo- Introducing Lists~.mp48.9 MB
  1164. 05. Demo- List Slicing Operations and List Functions.mp47.8 MB
  1165. 06. Demo- Concatenating and Copying Lists~.mp44.4 MB
  1166. 07. Demo- Introducing Tuples~.mp47.4 MB
  1167. 08. Demo- Introducing Dictionaries~.mp410.2 MB
  1168. 09. Module Summary~.mp42.0 MB
  1169. 01. Module Overview~.mp42.1 MB
  1170. 02. Transactional and Analytical Processing~.mp48.0 MB
  1171. 03. Demo- If Statements for Conditional Branching.mp47.9 MB
  1172. 04. Demo- If Else Statements~.mp412.0 MB
  1173. 05. Demo- Using if with Lists and Dictionary Elements.mp45.3 MB
  1174. 06. Demo- If-elif for Multiple Conditional Checks.mp46.3 MB
  1175. 07. Demo- Iterating over List Elements Using a For Loop.mp48.1 MB
  1176. 08. Demo- Using For Loops with the Range Function.mp45.2 MB
  1177. 09. Demo- Iterating over Dictionary Elements Using a For Loop.mp43.9 MB
  1178. 10. Demo- Conditional Looping Using While Loops.mp414.1 MB
  1179. 11. Demo- Break~.mp47.6 MB
  1180. 12. Demo- Continue and Pass~.mp47.3 MB
  1181. 13. Module Summary~.mp41.9 MB
  1182. 01. Module Overview~.mp42.2 MB
  1183. 02. Demo- Defining and Invoking Custom Functions~.mp412.8 MB
  1184. 03. Demo- Passing Input Arguments to Functions~.mp45.5 MB
  1185. 04. Demo- Returning Values from Functions~.mp49.8 MB
  1186. 05. Demo- Reassignment of Variables within Functions.mp413.1 MB
  1187. 06. Demo- Modification of Complex Types within Functions.mp46.8 MB
  1188. 07. Demo- Invoking Functions with Keyword Arguments.mp410.6 MB
  1189. 08. Demo- Assigning Default Values for Input Arguments.mp45.5 MB
  1190. 09. Demo- First Class Functions~.mp412.1 MB
  1191. 10. Module Summary~.mp42.0 MB
  1192. 01. Module Overview~.mp41.9 MB
  1193. 02. Demo- Working with the Math Module~.mp45.2 MB
  1194. 03. Demo- Introducing NumPy~.mp47.9 MB
  1195. 04. Demo- Introducing Pandas~.mp44.5 MB
  1196. 05. Demo- Working with the Command Line Processes and Environment Variables.mp416.3 MB
  1197. 06. Demo- Reading the Contents of a File~.mp48.8 MB
  1198. 07. Demo- Overwriting and Appending Content to a File~.mp410.0 MB
  1199. 08. Demo- Working with CSV and JSON Files~.mp48.4 MB
  1200. 09. Module Summary~.mp42.5 MB
  1201. python-sqlalchemy-playbook-understanding-databases~.zip8.8 MB
  1202. 01. Course Overview~.mp43.5 MB
  1203. 01. Up and Running with SQLAlchemy.mp43.8 MB
  1204. 02. Installing and Importing SQLAlchemy.mp45.8 MB
  1205. 03. Loading Data Using SQLAlchemy.mp46.6 MB
  1206. 04. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.mp44.2 MB
  1207. 05. Visualizing and Graphing Data with Matplotlib.mp45.4 MB
  1208. 06. Takeaway~.mp41.4 MB
  1209. 01. Querying with SQLAlchemy~.mp41.6 MB
  1210. 02. Picking a Database~.mp45.4 MB
  1211. 03. Connecting to Databases- Connectors and the Connection String.mp45.9 MB
  1212. 04. Querying with SQL~.mp42.2 MB
  1213. 05. Object-relational Mapper (ORM) and Classical Mapping.mp45.6 MB
  1214. 06. The Declarative API~.mp410.9 MB
  1215. 07. More Querying and Database Functions.mp412.0 MB
  1216. 08. Using Joins~.mp42.1 MB
  1217. 09. Working with Hierarchical Tables~.mp43.4 MB
  1218. 10. Takeaway~.mp41.9 MB
  1219. 01. Creating Databases with SQLAlchemy~.mp41.5 MB
  1220. 02. Creating Databases~.mp43.2 MB
  1221. 03. Creating Tables~.mp44.9 MB
  1222. 04. Primary Keys, Constraints, and Data Defaults.mp49.4 MB
  1223. 05. Inserting Data- Single and Multiple Rows.mp46.1 MB
  1224. 06. Loading a CSV into a Table~.mp42.8 MB
  1225. 07. Takeaway~.mp41.3 MB
  1226. 01. Manipulating Databases with SQLAlchemy.mp41.2 MB
  1227. 02. Updating Data in a Database~.mp46.6 MB
  1228. 03. Correlated Updates~.mp41.7 MB
  1229. 04. Deleting Data from a Database~.mp43.4 MB
  1230. 05. Deleting Tables~.mp42.0 MB
  1231. 06. Takeaway~.mp41.4 MB
  1232. 01. Final Takeaway~.mp42.9 MB
  1233. web-scraping-python-data-playbook~.zip1.9 MB
  1234. 01. Course Overview~.mp43.9 MB
  1235. 01. General Strategies for Scraping Web Pages~.mp43.4 MB
  1236. 02. Reviewing Our Target Auto-MPG Web Page~.mp411.6 MB
  1237. 03. The Complicated Difference between Dynamic and Static Web Pages.mp46.0 MB
  1238. 01. A Primer on HTML and CSS~.mp44.8 MB
  1239. 02. Understanding the HTML, CSS and Structure of Our Target Page.mp412.7 MB
  1240. 03. Coming up with a Strategy for a More Complicated Web Page.mp48.1 MB
  1241. 04. Using BeautifulSoup4 to Navigate Our Scraped Data~.mp415.6 MB
  1242. 05. Extracting Information from a Scraped Division~.mp49.2 MB
  1243. 06. Using Selectors as an Alternative to the Find Method~.mp46.1 MB
  1244. 07. Advice and Strategy for Scraping~.mp42.0 MB
  1245. 08. Building the Scraper Module Using PyCharm~.mp414.7 MB
  1246. 09. Dealing with Missing Data during the Scrape~.mp49.3 MB
  1247. 10. Refactoring Our Code and Caching Our Scraped Data~.mp49.8 MB
  1248. 11. Adding a Test to Verify Our Regular Expression Processing.mp414.0 MB
  1249. 01. Exporting Scraped Data to a CSV File~.mp47.8 MB
  1250. 02. Getting a Data Overview with Pandas~.mp46.4 MB
  1251. 03. Exploratory Data Analysis Strategy~.mp48.3 MB
  1252. 04. Reviewing Our Hypothesis~.mp46.4 MB
  1253. 05. Investigating Relationships between MPG and Weight~.mp47.4 MB
  1254. 06. Understanding How Cylinders and Displacement Are Related~.mp43.7 MB
  1255. 07. Looking at MPG over the Years~.mp43.7 MB
  1256. 08. Understanding Brands and Territories with Text Processing~.mp44.0 MB
  1257. 09. Telling a Data Story to Explain Our Discoveries~.mp46.2 MB
  1258. Building Your First Python Analytics Solution [AhLaN]~.jpg?0421481.2 MB
  1259. Cleaning Data- Python Data Playbook [AhLaN]~.jpg?0421481.1 MB
  1260. Create and Share Analytics with Jupyter Notebooks [AhLaN]~.jpg?042148834.8 KB
  1261. Data Wrangling with Python [AhLaN]~.jpg?0421481.1 MB
  1262. Importing Data- Python Data Playbook [AhLaN]~.jpg?042148834.4 KB
  1263. Leveraging Online Resources for Python Analytics [AhLaN]~.jpg?042148469.7 KB
  1264. Programming Python Using an IDE [AhLaN]~.jpg?042148799.0 KB
  1265. Pygal- Python Data Playbook [AhLaN]~.jpg?042148820.6 KB
  1266. Python for Data Analysts [AhLaN]~.jpg?042148924.4 KB
  1267. Understanding Databases with SQLAlchemy- Python Data Playbook [AhLaN]~.jpg?0421481.1 MB
  1268. Web Scraping- Python Data Playbook [AhLaN]~.jpg?0421481.1 MB
  1269. advanced-web-scraping-tactics-python-playbook~.zip879.9 KB
  1270. 01. Course Overview~.mp45.9 MB
  1271. 01. Course Introduction.mp42.9 MB
  1272. 02. Software and Course Prerequisites.mp46.5 MB
  1273. 03. What Is Advanced Web Scraping-.mp43.7 MB
  1274. 04. Handling Form Submissions - GET Forms.mp47.4 MB
  1275. 05. Handling Form Submissions - POST Forms.mp414.5 MB
  1276. 01. Module Overview~.mp41.2 MB
  1277. 02. Scraping Sites with Logins.mp45.6 MB
  1278. 03. Demo- Scraping a Site with a Login.mp413.7 MB
  1279. 04. Submitting Button Input Values.mp41.7 MB
  1280. 05. Demo- Creating an Account on a Website with Python and Selenium.mp421.6 MB
  1281. 01. Module Overview~.mp41.0 MB
  1282. 02. When Will You Need to Upload Files during Scraping-.mp42.6 MB
  1283. 03. Demo- Reverse Image Search and Information Scraping Using Selenium and Beautiful Soup.mp48.5 MB
  1284. 04. Course Summary and Feedback~.mp42.8 MB
  1285. crawling-web-python-scrapy~.zip2.1 MB
  1286. 01. Course Overview~.mp48.8 MB
  1287. 01. Introduction, Overview, and Prerequisites.mp42.8 MB
  1288. 02. Concepts~.mp44.0 MB
  1289. 03. Legal or Illegal~.mp43.6 MB
  1290. 04. Legal Consequences~.mp44.8 MB
  1291. 05. General Advice~.mp44.5 MB
  1292. 06. Why Scrapy~.mp45.5 MB
  1293. 07. Demo- Extracting Data without Scrapy.mp421.4 MB
  1294. 08. Summary~.mp41.7 MB
  1295. 01. Introduction and Overview.mp41.4 MB
  1296. 02. Introduction to Scrapy.mp44.4 MB
  1297. 03. Scrapy Architecture.mp43.3 MB
  1298. 04. Beautiful Soup~.mp43.6 MB
  1299. 05. Demo- Creating and Scaffolding a New Scrapy Project.mp410.9 MB
  1300. 06. Summary~.mp41.7 MB
  1301. 01. Introduction and Overview.mp41.5 MB
  1302. 02. Spiders Overview~.mp42.1 MB
  1303. 03. Types of Scrapy Spiders~.mp42.6 MB
  1304. 04. scrapy.Spider~.mp42.5 MB
  1305. 05. CrawlSpider~.mp43.5 MB
  1306. 06. XMLFeedSpider~.mp42.4 MB
  1307. 07. CSVFeedSpider~.mp42.1 MB
  1308. 08. SitemapSpider~.mp42.8 MB
  1309. 09. Demo- Implementing a scrapy.Spider.mp434.0 MB
  1310. 10. Demo- Implementing a CrawlSpider.mp424.4 MB
  1311. 11. Summary~.mp41.1 MB
  1312. 01. Introduction and Overview~.mp41.3 MB
  1313. 02. Allow and Deny Rules~.mp4941.2 KB
  1314. 03. Processors~.mp45.0 MB
  1315. 04. Item Loaders~.mp42.0 MB
  1316. 05. Item Pipelines~.mp43.1 MB
  1317. 06. Demo- Implementing a Scraping Pipeline~.mp427.9 MB
  1318. 07. Summary~.mp41.1 MB
  1319. 01. Introduction and Overview~.mp41.1 MB
  1320. 02. Feed Exporter~.mp42.1 MB
  1321. 03. Demo- Using an Exporter to Save Data~.mp415.0 MB
  1322. 04. Summary~.mp42.1 MB
  1323. exploring-web-scraping-python~.zip31.2 MB
  1324. 01. Exploring Web Scraping with Python~.mp43.7 MB
  1325. 01. How Web Scraping Is Useful~.mp46.1 MB
  1326. 02. Web Scraping Examples~.mp42.5 MB
  1327. 03. Scraping for a Car~.mp46.2 MB
  1328. 01. Human Browsing Versus Web Scraping~.mp43.4 MB
  1329. 02. HTTP Overview~.mp44.2 MB
  1330. 03. URL Hacking~.mp49.6 MB
  1331. 01. HTML & CSS Selectors~.mp411.4 MB
  1332. 02. XPath~.mp44.3 MB
  1333. 03. Chrome Developer Tools~.mp438.5 MB
  1334. 01. Is Web Scraping Legal- Is it Ethical-~.mp413.2 MB
  1335. 02. Web Scraping Legal Risks~.mp48.9 MB
  1336. 03. hiQ Labs Legal Case~.mp44.5 MB
  1337. 01. Python Scraping Environment~.mp46.9 MB
  1338. 02. Download a Page to Scrape~.mp49.2 MB
  1339. 03. Extract Data to Pandas~.mp418.1 MB
  1340. 01. Scrapy Framework~.mp47.9 MB
  1341. 02. Scrapy Shell~.mp43.8 MB
  1342. 03. Truecar Spider~.mp414.5 MB
  1343. 01. JavaScript Scraping Problem~.mp411.6 MB
  1344. 02. Requests-HTML~.mp46.6 MB
  1345. 03. Selenium~.mp48.2 MB
  1346. 01. Web Scraping Wrap Up~.mp48.1 MB
  1347. extracting-data-html-beautifulsoup~.zip2.0 MB
  1348. 01. Course Overview~.mp43.1 MB
  1349. 01. Module Overview~.mp41.7 MB
  1350. 02. Prerequisites and Course Outline~.mp41.8 MB
  1351. 03. Introducing Web Scraping~.mp43.3 MB
  1352. 04. Regular Expressions and Beautiful Soup~.mp410.8 MB
  1353. 05. Making GET Requests Using Httplib2, Urllib and Requests.mp419.1 MB
  1354. 06. Introducing Regular Expressions~.mp48.3 MB
  1355. 07. Performing Simple Pattern Matches Using Regular Expressions.mp48.5 MB
  1356. 08. Parsing Web Pages Using Regular Expressions.mp415.5 MB
  1357. 09. Introducing Beautiful Soup~.mp419.2 MB
  1358. 10. Module Summary~.mp41.6 MB
  1359. 01. Module Overview~.mp41.7 MB
  1360. 02. Parsing Web Pages with Beautiful Soup~.mp415.5 MB
  1361. 03. Tags, Attributes, NavigableStrings, Comments~.mp48.2 MB
  1362. 04. Navigating Using Tags and Contents~.mp49.6 MB
  1363. 05. Navigating Children, Descendants, and Parents~.mp416.0 MB
  1364. 06. Navigating Sideways Using Next and Previous Sibling.mp47.0 MB
  1365. 07. Navigating Sideways Using Next Element and Previous Element.mp45.7 MB
  1366. 08. Filter by Tags and Attributes Using Regular Expressions and Custom Functions.mp415.2 MB
  1367. 09. Extracting Absolute and Relative Links from HTML~.mp415.1 MB
  1368. 10. Module Summary~.mp41.7 MB
  1369. 01. Module Overview~.mp42.0 MB
  1370. 02. XML and XPath~.mp45.6 MB
  1371. 03. Performing Advanced Search on the Parse Tree.mp413.3 MB
  1372. 04. Searching Using Variations of Find and Find All.mp48.8 MB
  1373. 05. CSS Selectors Using Soup Sieve~.mp416.5 MB
  1374. 06. Using XPath to Navigate an XML Tree.mp410.8 MB
  1375. 07. Module Summary~.mp42.1 MB
  1376. 01. Module Overview~.mp41.7 MB
  1377. 02. Modifying the HTML Parse Tree~.mp411.2 MB
  1378. 03. Exploring Beautiful Soup Functions to Modify the Parse Tree.mp410.7 MB
  1379. 04. Miscellaneous Operations Using Beautiful Soup.mp410.9 MB
  1380. 05. Working with Different Parsers.mp46.5 MB
  1381. 06. Using the Soup Strainer to Parse Parts of a Document.mp45.4 MB
  1382. 07. Encodings in Beautiful Soup~.mp44.6 MB
  1383. 08. Summary and Further Study~.mp42.3 MB
  1384. scraping-dynamic-web-pages-python-selenium~.zip17.3 MB
  1385. 01. Course Overview~.mp44.0 MB
  1386. 01. Module Introduction~.mp43.9 MB
  1387. 02. Overview of Scraping Dynamic Webpages~.mp42.6 MB
  1388. 03. What Is Selenium and Where Is It Used-.mp44.4 MB
  1389. 04. Selenium WebDriver~.mp45.6 MB
  1390. 05. Demo- Installing Libraries~.mp47.2 MB
  1391. 06. Demo- Opening a Webpage with WebDriver.mp46.8 MB
  1392. 07. Summary~.mp41.1 MB
  1393. 01. Module Introduction~.mp41.4 MB
  1394. 02. Introduction to Elements.mp41.5 MB
  1395. 03. Methods to Locate Elements.mp48.5 MB
  1396. 04. Demo- Locating Elements in a Webpage - Part 1.mp47.5 MB
  1397. 05. Demo- Locating Elements in a Webpage - Part 2.mp412.9 MB
  1398. 06. Demo- Navigating a Webpage with Selenium.mp413.2 MB
  1399. 07. Summary~.mp4912.9 KB
  1400. 01. Module Introduction~.mp41.0 MB
  1401. 02. Introduction to Beautiful Soup.mp43.6 MB
  1402. 03. Transitioning from Selenium to Beautiful Soup.mp41.5 MB
  1403. 04. Demo- Combining Tools to Scrape a Dynamic Webpage - Introduction.mp45.9 MB
  1404. 05. Demo- Combining Tools to Scrape a Dynamic Webpage - Practical Implementation.mp416.5 MB
  1405. 06. Summary~.mp4849.7 KB
  1406. 01. Module Introduction~.mp4960.6 KB
  1407. 02. Challenges in Web Scraping.mp46.2 MB
  1408. 03. Tips to Increase Efficiency & Best Practices.mp46.7 MB
  1409. 04. Summary~.mp41.7 MB
  1410. scraping-first-web-page-python~.zip2.6 MB
  1411. 01. Course Overview~.mp44.0 MB
  1412. 01. Module Overview~.mp41.7 MB
  1413. 02. Prerequisites and Course Outline~.mp41.8 MB
  1414. 03. HTTP Requests and Responses~.mp49.1 MB
  1415. 04. Web Scraping~.mp43.4 MB
  1416. 05. HTTP Client Libraries~.mp45.8 MB
  1417. 06. Making GET Requests Using httplib2~.mp416.4 MB
  1418. 07. Making OPTIONS, POST, PUT Requests with httplib2.mp47.8 MB
  1419. 08. Handling Redirects with httplib2~.mp47.2 MB
  1420. 09. Making HTTP Requests and Parsing URLs Using urllib.mp414.6 MB
  1421. 10. GET and POST Requests Using the Requests Library.mp411.4 MB
  1422. 11. Handling Redirects with the Requests Library~.mp46.7 MB
  1423. 12. Module Summary~.mp41.8 MB
  1424. 01. Module Overview~.mp41.9 MB
  1425. 02. The HTML Parse Tree~.mp44.8 MB
  1426. 03. Beautiful Soup for HTML Parsing~.mp42.7 MB
  1427. 04. Introducing Beautiful Soup~.mp411.6 MB
  1428. 05. Extracting Specific Page Elements~.mp416.5 MB
  1429. 06. Filtering Elements Using Find and Find All.mp413.9 MB
  1430. 07. Searching and Filtering Using Custom Functions.mp45.5 MB
  1431. 08. Extracting Links from a Page~.mp420.2 MB
  1432. 09. Using a Soup Strainer to Parse a Subset of a Document.mp49.0 MB
  1433. 10. Module Summary~.mp41.8 MB
  1434. 01. Module Overview~.mp41.6 MB
  1435. 02. Parsing Web Content~.mp43.8 MB
  1436. 03. Introducing Scrapy~.mp46.6 MB
  1437. 04. Getting Started with Scrapy~.mp416.5 MB
  1438. 05. Introducing the Scrapy Shell~.mp410.5 MB
  1439. 06. Selecting Elements Using CSS Selectors.mp427.8 MB
  1440. 07. Advanced Selections Using CSS Selectors.mp417.1 MB
  1441. 08. Selecting Elements Using XPath Selectors.mp426.8 MB
  1442. 09. Module Summary~.mp41.6 MB
  1443. 01. Module Overview~.mp41.6 MB
  1444. 02. How Scrapy Works~.mp45.4 MB
  1445. 03. Creating Your First Custom Spider~.mp419.3 MB
  1446. 04. Writing Scraped Contents to a File~.mp46.4 MB
  1447. 05. Exploring Items Using the Scrapy Shell~.mp47.2 MB
  1448. 06. Using Items to Store Extracted Content~.mp412.8 MB
  1449. 07. Using Item Loaders and Input and Output Processors for Scraped Data.mp420.3 MB
  1450. 08. Using Pipelines to Transform Scraped Data.mp413.7 MB
  1451. 09. Module Summary~.mp42.1 MB
  1452. Pluralsight - Advanced Web Scraping Tactics- Python Playbook [AhLaN]~.jpg?042148992.5 KB
  1453. Pluralsight - Crawling the Web with Python and Scrapy [AhLaN]~.jpg?042148917.6 KB
  1454. Pluralsight - Exploring Web Scraping with Python [AhLaN]~.jpg?0421481.0 MB
  1455. Pluralsight - Extracting Data from HTML with BeautifulSoup [AhLaN]~.jpg?042148728.2 KB
  1456. Pluralsight - Scraping Dynamic Web Pages with Python and Selenium [AhLaN]~.jpg?042148754.6 KB
  1457. Pluralsight - Scraping Your First Web Page with Python [AhLaN]~.jpg?042148991.2 KB
  1458. Building Your First Python Analytics Solution [AhLaN].jpg?0421481.2 MB
  1459. Cleaning Data- Python Data Playbook [AhLaN].jpg?0421481.1 MB
  1460. Create and Share Analytics with Jupyter Notebooks [AhLaN].jpg?042148834.8 KB
  1461. Data Wrangling with Python [AhLaN].jpg?0421481.1 MB
  1462. Finding Relationships in Data with Python [AhLaN].jpg?042148887.2 KB
  1463. Importing Data- Python Data Playbook [AhLaN].jpg?042148834.4 KB
  1464. Interpreting Data Using Descriptive Statistics with Python [AhLaN].jpg?042148691.7 KB
  1465. Interpreting Data Using Statistical Models with Python [AhLaN].jpg?042148902.1 KB
  1466. Leveraging Online Resources for Python Analytics [AhLaN].jpg?042148469.7 KB
  1467. Pluralsight - Advanced Generators and Coroutines [AhLaN].jpg?042148855.7 KB
  1468. Pluralsight - Advanced Python [AhLaN].jpg?042148189.5 KB
  1469. Pluralsight - Advanced Web Scraping Tactics- Python Playbook [AhLaN].jpg?042148992.5 KB
  1470. Pluralsight - Core Python- Classes and Object-orientation [AhLaN].jpg?042148774.5 KB
  1471. Pluralsight - Core Python- Functions and Functional Programming [AhLaN].jpg?042148807.3 KB
  1472. Pluralsight - Core Python- Getting Started [AhLaN].jpg?042148782.7 KB
  1473. Pluralsight - Core Python- Hashing and More Collections [AhLaN].jpg?042148774.2 KB
  1474. Pluralsight - Core Python- Implementing Iterators, Iterables and Collections [AhLaN].jpg?042148726.2 KB
  1475. Pluralsight - Core Python- Introspection [AhLaN].jpg?042148915.3 KB
  1476. Pluralsight - Core Python- Numeric Types, Dates, and Times [AhLaN].jpg?042148706.0 KB
  1477. Pluralsight - Core Python- Organizing Larger Programs [AhLaN].jpg?0421481.1 MB
  1478. Pluralsight - Core Python- Robust Resource and Error Handling [AhLaN].jpg?042148824.3 KB
  1479. Pluralsight - Core Python- The Numeric Tower, Conversion, and Operators [AhLaN].jpg?042148936.5 KB
  1480. Pluralsight - Crawling the Web with Python and Scrapy [AhLaN].jpg?042148917.6 KB
  1481. Pluralsight - Exploring Web Scraping with Python [AhLaN].jpg?0421481.0 MB
  1482. Pluralsight - Extracting Data from HTML with BeautifulSoup [AhLaN].jpg?042148728.2 KB
  1483. Pluralsight - Full Stack Web Development with Python (WEB2PY) [AhLaN].jpg?042148189.5 KB
  1484. Pluralsight - Managing Python Packages and Virtual Environments [AhLaN].jpg?042148834.4 KB
  1485. Pluralsight - Python Best Practices for Code Quality [AhLaN].jpg?042148979.8 KB
  1486. Pluralsight - Python – Beyond the Basics [AhLaN].jpg?04214880.5 KB
  1487. Pluralsight - Python- The Big Picture [AhLaN].jpg?042148189.5 KB
  1488. Pluralsight - Scraping Dynamic Web Pages with Python and Selenium [AhLaN].jpg?042148754.6 KB
  1489. Pluralsight - Scraping Your First Web Page with Python [AhLaN].jpg?042148991.2 KB
  1490. Pluralsight - Unit Testing with Python [AhLaN].jpg?042148869.2 KB
  1491. Programming Python Using an IDE [AhLaN].jpg?042148799.0 KB
  1492. Pygal- Python Data Playbook [AhLaN].jpg?042148820.6 KB
  1493. Python for Data Analysts [AhLaN].jpg?042148924.4 KB
  1494. Understanding Databases with SQLAlchemy- Python Data Playbook [AhLaN].jpg?0421481.1 MB
  1495. Web Scraping- Python Data Playbook [AhLaN].jpg?0421481.1 MB

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