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[GigaCourse.Com] Udemy - The Complete Python Course Learn Python by Doing

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视频 2022-1-5 22:29 2024-11-7 09:53 152 13.4 GB 289
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文件列表
  1. 1. Intro to Python/1. Welcome to this course!.mp429.95MB
  2. 1. Intro to Python/10. Information before your first coding exercise.mp412.94MB
  3. 1. Intro to Python/13. Python strings.mp433.84MB
  4. 1. Intro to Python/14. Python string formatting.mp439.44MB
  5. 1. Intro to Python/16. Getting user input in Python.mp441.68MB
  6. 1. Intro to Python/2. Overview of the course curriculum.mp410.98MB
  7. 1. Intro to Python/20. Booleans and comparisons in Python.mp425.22MB
  8. 1. Intro to Python/21. and & or in Python.mp459.93MB
  9. 1. Intro to Python/23. Lists in Python.mp439.47MB
  10. 1. Intro to Python/24. Tuples in Python.mp426.04MB
  11. 1. Intro to Python/25. Sets in Python.mp418.33MB
  12. 1. Intro to Python/26. Advanced set operations.mp434.33MB
  13. 1. Intro to Python/3. Our Python coding environment.mp432.91MB
  14. 1. Intro to Python/30. Python dictionaries.mp435.97MB
  15. 1. Intro to Python/32. Length and sum.mp424.3MB
  16. 1. Intro to Python/35. Joining a list.mp411.9MB
  17. 1. Intro to Python/4. Writing our first code! Variables and printing.mp420.46MB
  18. 1. Intro to Python/6. Community & Support.mp477.98MB
  19. 1. Intro to Python/7. Numbers in Python.mp416.53MB
  20. 1. Intro to Python/8. Calculating the remainder of a division.mp424.13MB
  21. 10. Advanced Python Development/1. Mutability in Python.mp462.02MB
  22. 10. Advanced Python Development/10. Timezones.mp437.9MB
  23. 10. Advanced Python Development/11. Dates and time in Python.mp460.07MB
  24. 10. Advanced Python Development/12. Timing your code with Python.mp455.7MB
  25. 10. Advanced Python Development/13. Regular expressions.mp429.67MB
  26. 10. Advanced Python Development/14. Regex examples.mp456.82MB
  27. 10. Advanced Python Development/15. Regex in Python.mp462.51MB
  28. 10. Advanced Python Development/18. Introduction to logging in Python.mp455.85MB
  29. 10. Advanced Python Development/19. Logging to a file and other features.mp428.36MB
  30. 10. Advanced Python Development/2. Argument mutability in Python.mp457.14MB
  31. 10. Advanced Python Development/20. Higher-order functions in Python.mp449.73MB
  32. 10. Advanced Python Development/3. Default values for parameters.mp426.41MB
  33. 10. Advanced Python Development/4. Mutable default arguments (bad idea).mp435.17MB
  34. 10. Advanced Python Development/5. Argument unpacking in Python.mp474.54MB
  35. 10. Advanced Python Development/6. Queues in Python.mp413.17MB
  36. 10. Advanced Python Development/7. Some interesting Python collections.mp4134.53MB
  37. 11. Web Scraping with Python/10. Quotes Project 2 Structuring a scraping app in Python.mp410.87MB
  38. 11. Web Scraping with Python/11. Quotes Project 3 Getting our locators.mp450.16MB
  39. 11. Web Scraping with Python/12. Quotes Project 4 Crafting our quote parser.mp439.69MB
  40. 11. Web Scraping with Python/13. Quotes Project 5 The quotes page.mp432.02MB
  41. 11. Web Scraping with Python/14. Quotes Project 6 Recap of the project.mp427.46MB
  42. 11. Web Scraping with Python/15. Milestone Project 4 A Book Scraper + application.mp460.6MB
  43. 11. Web Scraping with Python/16. Books Project 2 Recap of HTML locators.mp428.59MB
  44. 11. Web Scraping with Python/17. Books Project 3 Creating locators in Python.mp418.38MB
  45. 11. Web Scraping with Python/18. Books Project 4 Creating our page.mp418.61MB
  46. 11. Web Scraping with Python/19. Books Project 5 Creating our book parser.mp491.56MB
  47. 11. Web Scraping with Python/2. Markup Languages The Structure of HTML Code.mp461.06MB
  48. 11. Web Scraping with Python/20. Books Project 6 Writing our app file.mp425.66MB
  49. 11. Web Scraping with Python/21. Books Project 7 Sorting the books.mp460.57MB
  50. 11. Web Scraping with Python/22. Books Project 8 Constructing our menu.mp444.98MB
  51. 11. Web Scraping with Python/23. ASIDE The best way to write user menus.mp411.63MB
  52. 11. Web Scraping with Python/24. Books Project 9 Getting multiple pages.mp420.1MB
  53. 11. Web Scraping with Python/25. Books Project 10 Multiple pages in Python.mp436.39MB
  54. 11. Web Scraping with Python/26. Books Project 11 Getting the page count in Python.mp457.67MB
  55. 11. Web Scraping with Python/27. Books Project 12 Adding logging to our Python project.mp4188.81MB
  56. 11. Web Scraping with Python/28. A word on scraping pages with JavaScript.mp422.77MB
  57. 11. Web Scraping with Python/3. Understanding HTML with BeautifulSoup.mp4130.09MB
  58. 11. Web Scraping with Python/4. More complex HTML parsing.mp4183.76MB
  59. 11. Web Scraping with Python/5. Structuring our parsing program better.mp458.61MB
  60. 11. Web Scraping with Python/6. Splitting HTML locators out of our Python class.mp437.36MB
  61. 11. Web Scraping with Python/7. Understanding HTML with the browser.mp470.71MB
  62. 11. Web Scraping with Python/8. Scraping our first website with Python.mp438.72MB
  63. 11. Web Scraping with Python/9. Milestone Project 3 A Quote Scraper.mp436.96MB
  64. 12. Browser Automation with Selenium/1. Introduction to this section.mp423.32MB
  65. 12. Browser Automation with Selenium/10. Encapsulating logic more simply.mp457.79MB
  66. 12. Browser Automation with Selenium/11. Adding some error handling.mp421.1MB
  67. 12. Browser Automation with Selenium/12. Implicit and explicit waits in Selenium.mp423.25MB
  68. 12. Browser Automation with Selenium/13. Adding waits to our program code.mp477.33MB
  69. 12. Browser Automation with Selenium/3. Review of our quotes scraping code.mp470.78MB
  70. 12. Browser Automation with Selenium/4. Downloading chromedriver.mp426.06MB
  71. 12. Browser Automation with Selenium/5. Using Chrome in our scraping code.mp469.47MB
  72. 12. Browser Automation with Selenium/6. Our new page locators.mp434.83MB
  73. 12. Browser Automation with Selenium/7. Interacting with dropdowns.mp443.14MB
  74. 12. Browser Automation with Selenium/8. Selecting tags.mp450.36MB
  75. 12. Browser Automation with Selenium/9. Searching for quotes.mp430.22MB
  76. 13. Asynchronous Python Development/10. Multiprocessing in Python.mp454.06MB
  77. 13. Asynchronous Python Development/11. Using Python concurrent.futures the ProcessPoolExecutor.mp417.02MB
  78. 13. Asynchronous Python Development/12. Dealing with shared state in threads.mp448.07MB
  79. 13. Asynchronous Python Development/13. Queuing in threads with shared state.mp486.52MB
  80. 13. Asynchronous Python Development/14. Using Python generators instead of threads.mp423.54MB
  81. 13. Asynchronous Python Development/15. Our first single-threaded task scheduler in Python.mp429.63MB
  82. 13. Asynchronous Python Development/16. Yielding from another iterator in Python.mp433.14MB
  83. 13. Asynchronous Python Development/17. Receiving data through yield.mp453.69MB
  84. 13. Asynchronous Python Development/18. The async and await keywords.mp440.36MB
  85. 13. Asynchronous Python Development/19. Watch these talks for more explanations and examples!.mp46.35MB
  86. 13. Asynchronous Python Development/20. Our asynchronous scraper.mp438.28MB
  87. 13. Asynchronous Python Development/21. Making our first async request in Python.mp487.22MB
  88. 13. Asynchronous Python Development/22. Getting multiple pages efficiently.mp481.57MB
  89. 13. Asynchronous Python Development/23. Using async_timeout for security.mp415.22MB
  90. 13. Asynchronous Python Development/24. Turning our book scraping project async.mp494.43MB
  91. 13. Asynchronous Python Development/25. A note on HTTPS with Python and Mac OS X.mp428.02MB
  92. 13. Asynchronous Python Development/3. The Dining Philosophers Problem.mp425.06MB
  93. 13. Asynchronous Python Development/4. Processes and threads.mp424.19MB
  94. 13. Asynchronous Python Development/5. The Python GIL.mp436.28MB
  95. 13. Asynchronous Python Development/6. Example threads in Python.mp473.32MB
  96. 13. Asynchronous Python Development/7. Using Python concurrent.futures the ThreadPoolExecutor.mp419.68MB
  97. 13. Asynchronous Python Development/8. Don't kill threads!.mp411.08MB
  98. 14. Python on the console and managing project dependencies/1. Running Python in the console.mp436.98MB
  99. 14. Python on the console and managing project dependencies/2. Terminal video running Python.mp437.76MB
  100. 14. Python on the console and managing project dependencies/3. Terminal video what is a virtualenv.mp4107.13MB
  101. 14. Python on the console and managing project dependencies/4. Terminal video navigating the terminal and using virtualenv.mp468.68MB
  102. 14. Python on the console and managing project dependencies/5. Terminal video using Pipenv.mp487.2MB
  103. 14. Python on the console and managing project dependencies/6. Terminal video Pipenv and virtualenv.mp442.77MB
  104. 15. Web Development with Flask/1. Setting up our project with Pipenv.mp450.55MB
  105. 15. Web Development with Flask/10. Using Jinja2 for loops to create a nicer homepage.mp443.39MB
  106. 15. Web Development with Flask/11. Adding navigation to our website.mp428MB
  107. 15. Web Development with Flask/3. Our first Flask endpoint.mp433.76MB
  108. 15. Web Development with Flask/4. Returning information with Flask and Python.mp427.08MB
  109. 15. Web Development with Flask/5. Rendering HTML with Flask and Python.mp434.96MB
  110. 15. Web Development with Flask/6. Error pages and Jinja2 inheritance.mp459.86MB
  111. 15. Web Development with Flask/7. Rendering forms with Flask and Python.mp496.7MB
  112. 15. Web Development with Flask/8. Accessing POST form data with Flask.mp431.91MB
  113. 15. Web Development with Flask/9. Putting our form in a single endpoint.mp424.9MB
  114. 16. Interacting with APIs with Python/2. Signing up to OpenExchangeRates.mp423.64MB
  115. 16. Interacting with APIs with Python/3. Getting all exchange rates from the API.mp456.15MB
  116. 16. Interacting with APIs with Python/4. Creating a currency exchange library.mp459.8MB
  117. 16. Interacting with APIs with Python/5. Caching functions with functools.mp453.2MB
  118. 16. Interacting with APIs with Python/6. TTL caches with cachetools.mp427.27MB
  119. 17. Decorators in Python/1. A simple decorator in Python.mp430.06MB
  120. 17. Decorators in Python/4. Using a @syntax.mp420.84MB
  121. 17. Decorators in Python/5. Functools wraps in Python.mp413.39MB
  122. 17. Decorators in Python/6. Decorating functions with parameters.mp433.18MB
  123. 17. Decorators in Python/7. Decorators with parameters.mp463.71MB
  124. 17. Decorators in Python/8. Functions that accept multiple arguments.mp422.56MB
  125. 17. Decorators in Python/9. Generic decorators for any function.mp427.22MB
  126. 18. Advanced Object-Oriented Programming/1. Intro to multiple inheritance with Python.mp474.06MB
  127. 18. Advanced Object-Oriented Programming/4. Intro to ABCs in Python.mp446.74MB
  128. 18. Advanced Object-Oriented Programming/5. The usefulness of ABCs.mp422.92MB
  129. 18. Advanced Object-Oriented Programming/6. The relationship between ABCs and interfaces.mp437.16MB
  130. 18. Advanced Object-Oriented Programming/9. The property setter in Python.mp478.08MB
  131. 19. GUI Development with Tkinter/10. Saving files to disk.mp469.08MB
  132. 19. GUI Development with Tkinter/11. Opening files.mp441.89MB
  133. 19. GUI Development with Tkinter/12. Binding shortcuts in Tkinter.mp443.85MB
  134. 19. GUI Development with Tkinter/13. Checking our tabs for unsaved changes.mp474.79MB
  135. 19. GUI Development with Tkinter/14. Confirming exit with unsaved changes.mp440.88MB
  136. 19. GUI Development with Tkinter/15. Closing individual tabs.mp443.28MB
  137. 19. GUI Development with Tkinter/16. Adding another menu.mp423.62MB
  138. 19. GUI Development with Tkinter/17. Adding a permanent scrollbar to our text area.mp440.67MB
  139. 19. GUI Development with Tkinter/2. Setting up Tkinter.mp445.32MB
  140. 19. GUI Development with Tkinter/3. Hello world in Tkinter.mp450.72MB
  141. 19. GUI Development with Tkinter/4. Labels and fields.mp441.93MB
  142. 19. GUI Development with Tkinter/5. Packing components.mp478.89MB
  143. 19. GUI Development with Tkinter/6. Using frames for different layouts.mp443.32MB
  144. 19. GUI Development with Tkinter/7. Starting our text editor project.mp412.72MB
  145. 19. GUI Development with Tkinter/8. Tkinter notebooks and creating files.mp424.84MB
  146. 19. GUI Development with Tkinter/9. Adding a menu to our application.mp437.4MB
  147. 2. Python fundamentals/1. If statements in Python.mp460.39MB
  148. 2. Python fundamentals/14. The else keyword with loops.mp426.87MB
  149. 2. Python fundamentals/15. Finding prime numbers with for loops.mp445.08MB
  150. 2. Python fundamentals/16. List slicing in Python.mp419.82MB
  151. 2. Python fundamentals/17. List comprehension in Python.mp436.17MB
  152. 2. Python fundamentals/18. Comprehensions with conditionals.mp437.72MB
  153. 2. Python fundamentals/19. Set and dictionary comprehensions.mp427.48MB
  154. 2. Python fundamentals/20. The zip function.mp415.99MB
  155. 2. Python fundamentals/21. The enumerate function.mp421.32MB
  156. 2. Python fundamentals/25. Functions in Python.mp418.62MB
  157. 2. Python fundamentals/26. Arguments and parameters.mp464.8MB
  158. 2. Python fundamentals/27. Functions and return values in Python.mp463.49MB
  159. 2. Python fundamentals/28. Default parameter values.mp428.92MB
  160. 2. Python fundamentals/3. While loops in Python.mp434.68MB
  161. 2. Python fundamentals/30. Lambda functions in Python.mp435.65MB
  162. 2. Python fundamentals/31. First-class functions in Python.mp458.6MB
  163. 2. Python fundamentals/6. For loops in Python.mp435.66MB
  164. 2. Python fundamentals/7. Destructuring syntax.mp421.72MB
  165. 2. Python fundamentals/8. Iterating over dictionaries.mp420.35MB
  166. 2. Python fundamentals/9. Break and continue.mp421.65MB
  167. 20. Unit testing with Python/1. Introduction to this section.mp464.87MB
  168. 20. Unit testing with Python/10. Conclusion of this section.mp422.05MB
  169. 20. Unit testing with Python/3. Testing functions.mp462.97MB
  170. 20. Unit testing with Python/4. Testing for errors.mp422.76MB
  171. 20. Unit testing with Python/5. Testing our multiplication function.mp480.1MB
  172. 20. Unit testing with Python/6. Writing a printer class for testing.mp425.43MB
  173. 20. Unit testing with Python/7. Testing classes.mp451.42MB
  174. 20. Unit testing with Python/8. More Printer tests.mp483.01MB
  175. 20. Unit testing with Python/9. Testing external libraries.mp465.59MB
  176. 21. Algorithms and Data Structures/1. Presentation queues, stacks, and complexity.mp439.46MB
  177. 21. Algorithms and Data Structures/10. How do you delete nodes from a binary tree.mp450.99MB
  178. 21. Algorithms and Data Structures/11. Deleting nodes in code with Python.mp4120.33MB
  179. 21. Algorithms and Data Structures/12. Deleting nodes with two children in code.mp4186.65MB
  180. 21. Algorithms and Data Structures/13. Testing our binary tree!.mp421.66MB
  181. 21. Algorithms and Data Structures/3. Presentation binary search.mp424.72MB
  182. 21. Algorithms and Data Structures/4. Presentation binary trees.mp420.7MB
  183. 21. Algorithms and Data Structures/5. Presentation traversal of binary trees.mp433.53MB
  184. 21. Algorithms and Data Structures/6. Presentation adding elements to a binary tree.mp433.11MB
  185. 21. Algorithms and Data Structures/7. Adding elements to a binary tree in Python.mp458.13MB
  186. 21. Algorithms and Data Structures/8. Recursion and inorder traversal in Python.mp4100.12MB
  187. 21. Algorithms and Data Structures/9. Finding nodes in a tree with Python.mp427.24MB
  188. 22. Python libraries/1. Python libraries overview.mp432.8MB
  189. 22. Python libraries/2. Using pylint.mp472.1MB
  190. 22. Python libraries/3. Using yapf.mp439.69MB
  191. 22. Python libraries/4. Sending e-mails with smtplib.mp452.83MB
  192. 22. Python libraries/5. Sending e-mails with Mailgun.mp469.81MB
  193. 22. Python libraries/6. Creating a re-usable Mailgun library.mp443.88MB
  194. 22. Python libraries/7. Sneak peek my IDE setup!.mp455.8MB
  195. 23. Python Reference Refresher/1. Variables in Python.mp434.91MB
  196. 23. Python Reference Refresher/10. Loops in Python.mp460.06MB
  197. 23. Python Reference Refresher/11. List comprehensions.mp434.92MB
  198. 23. Python Reference Refresher/12. Dictionaries.mp440.63MB
  199. 23. Python Reference Refresher/13. Destructuring variables.mp439.32MB
  200. 23. Python Reference Refresher/14. Functions in Python.mp450.61MB
  201. 23. Python Reference Refresher/15. Function arguments and parameters.mp442.8MB
  202. 23. Python Reference Refresher/16. Default parameter values.mp420.15MB
  203. 23. Python Reference Refresher/17. Functions returning values.mp440.04MB
  204. 23. Python Reference Refresher/18. Lambda functions in Python.mp442.52MB
  205. 23. Python Reference Refresher/19. Dictionary comprehensions.mp426.49MB
  206. 23. Python Reference Refresher/2. String formatting in Python.mp430.87MB
  207. 23. Python Reference Refresher/20. Unpacking arguments.mp458.86MB
  208. 23. Python Reference Refresher/21. Unpacking keyword arguments.mp450.99MB
  209. 23. Python Reference Refresher/22. Object-Oriented Programming in Python.mp4103.46MB
  210. 23. Python Reference Refresher/23. Magic methods __str__ and __repr__.mp442.1MB
  211. 23. Python Reference Refresher/24. Class methods and static methods.mp493.84MB
  212. 23. Python Reference Refresher/25. Class inheritance.mp461.11MB
  213. 23. Python Reference Refresher/26. Class composition.mp440.54MB
  214. 23. Python Reference Refresher/27. Type hinting.mp435.65MB
  215. 23. Python Reference Refresher/28. How imports work in Python.mp466.25MB
  216. 23. Python Reference Refresher/29. Relative imports in Python.mp462.52MB
  217. 23. Python Reference Refresher/3. Getting user input.mp424.37MB
  218. 23. Python Reference Refresher/30. Errors in Python.mp498.58MB
  219. 23. Python Reference Refresher/31. Custom error classes.mp446.88MB
  220. 23. Python Reference Refresher/32. First-class functions.mp455.22MB
  221. 23. Python Reference Refresher/33. Simple decorators in Python.mp456.47MB
  222. 23. Python Reference Refresher/34. The 'at' syntax for decorators.mp432.26MB
  223. 23. Python Reference Refresher/35. Decorating functions with parameters.mp416MB
  224. 23. Python Reference Refresher/36. Decorators with parameters.mp439.65MB
  225. 23. Python Reference Refresher/37. Mutability in Python.mp426.91MB
  226. 23. Python Reference Refresher/38. Mutable default parameters (and why they're a bad idea).mp424.74MB
  227. 23. Python Reference Refresher/4. Lists, tuples, and sets.mp430.23MB
  228. 23. Python Reference Refresher/5. Advanced set operations.mp423.08MB
  229. 23. Python Reference Refresher/6. Booleans in Python.mp426.37MB
  230. 23. Python Reference Refresher/7. If statements in Python.mp452.19MB
  231. 23. Python Reference Refresher/8. The in keyword.mp412.75MB
  232. 23. Python Reference Refresher/9. If statements with the 'in' keyword.mp449.61MB
  233. 24. Bonus Section/1. Thank you for taking the course.mp46.46MB
  234. 3. Milestone Project 1/2. Installing Python in your computer.mp421.32MB
  235. 3. Milestone Project 1/3. Installing PyCharm in your computer.mp425.93MB
  236. 3. Milestone Project 1/4. Creating our first PyCharm project.mp436.25MB
  237. 3. Milestone Project 1/5. Setting up PyCharm font and display settings.mp414.24MB
  238. 3. Milestone Project 1/6. Milestone Project Brief.mp446.69MB
  239. 3. Milestone Project 1/7. Milestone Project Implementation Video.mp464.69MB
  240. 4. Object-Oriented Programming with Python/1. Intro to Object-Oriented Programming with Python.mp485.75MB
  241. 4. Object-Oriented Programming with Python/10. Magic methods in Python.mp474.43MB
  242. 4. Object-Oriented Programming with Python/13. Inheritance in Python.mp454.81MB
  243. 4. Object-Oriented Programming with Python/14. The @property decorator.mp428.61MB
  244. 4. Object-Oriented Programming with Python/16. @classmethod and @staticmethod in Python.mp443.58MB
  245. 4. Object-Oriented Programming with Python/17. More @classmethod and @staticmethod examples.mp474.47MB
  246. 4. Object-Oriented Programming with Python/6. More about classes and objects.mp465.13MB
  247. 4. Object-Oriented Programming with Python/9. Parameter naming in Python.mp416.05MB
  248. 5. Errors in Python/11. Dealing with Python errors.mp468.74MB
  249. 5. Errors in Python/13. The on success block and re-raising exceptions.mp4102.12MB
  250. 5. Errors in Python/15. Handling those pesky user errors!.mp472.97MB
  251. 5. Errors in Python/18. Debugging with Pycharm.mp4141.64MB
  252. 5. Errors in Python/2. Intro to errors in Python.mp466.87MB
  253. 5. Errors in Python/3. Built in errors in Python.mp477.01MB
  254. 5. Errors in Python/5. Raising errors in Python.mp479.94MB
  255. 5. Errors in Python/8. Creating our own errors in Python.mp475.78MB
  256. 6. Files in Python/12. Using the with syntax in Python.mp438.41MB
  257. 6. Files in Python/13. Importing our own files.mp446.16MB
  258. 6. Files in Python/14. Python relative imports children.mp490.85MB
  259. 6. Files in Python/18. Python relative imports parents.mp438.66MB
  260. 6. Files in Python/19. Import errors and running as a Python script.mp437.91MB
  261. 6. Files in Python/2. Files in Python.mp453.1MB
  262. 6. Files in Python/3. Python Exercise copying files.mp4148.07MB
  263. 6. Files in Python/6. CSV files with Python.mp457.23MB
  264. 6. Files in Python/8. JSON files with Python.mp4116.22MB
  265. 7. Databases in Python & Milestone Project 2/10. Creating our books table using Python.mp441.6MB
  266. 7. Databases in Python & Milestone Project 2/11. Inserting books using Python.mp447.77MB
  267. 7. Databases in Python & Milestone Project 2/12. SELECT examples.mp412.19MB
  268. 7. Databases in Python & Milestone Project 2/13. Getting all our books.mp453.65MB
  269. 7. Databases in Python & Milestone Project 2/14. UPDATE and DELETE.mp49.18MB
  270. 7. Databases in Python & Milestone Project 2/15. Filtering with WHERE.mp424.12MB
  271. 7. Databases in Python & Milestone Project 2/16. Finishing the Milestone Project.mp465.22MB
  272. 7. Databases in Python & Milestone Project 2/17. Ordering and limiting.mp411.56MB
  273. 7. Databases in Python & Milestone Project 2/18. Developing our context manager in Python.mp477.95MB
  274. 7. Databases in Python & Milestone Project 2/19. Errors in context managers.mp451.31MB
  275. 7. Databases in Python & Milestone Project 2/2. Intro to Milestone Project 2.mp426.44MB
  276. 7. Databases in Python & Milestone Project 2/4. Milestone Project with lists.mp4128.52MB
  277. 7. Databases in Python & Milestone Project 2/5. Storing books in files.mp4143.81MB
  278. 7. Databases in Python & Milestone Project 2/6. Using JSON instead of CSV.mp486.12MB
  279. 7. Databases in Python & Milestone Project 2/7. Intro to databases with Python.mp421.72MB
  280. 7. Databases in Python & Milestone Project 2/8. Using SQLite in Python.mp49.4MB
  281. 7. Databases in Python & Milestone Project 2/9. Some database jargon.mp413.7MB
  282. 8. Type hinting in Python/1. Typing in Python.mp4112.83MB
  283. 8. Type hinting in Python/2. Further reading.mp420.85MB
  284. 9. Advanced built-in functions in Python/1. Generators in Python.mp455.25MB
  285. 9. Advanced built-in functions in Python/10. any() and all() in Python.mp432.45MB
  286. 9. Advanced built-in functions in Python/4. Python generator classes and iterators.mp444.8MB
  287. 9. Advanced built-in functions in Python/7. Iterables in Python.mp449.73MB
  288. 9. Advanced built-in functions in Python/8. The filter() function in Python.mp442.17MB
  289. 9. Advanced built-in functions in Python/9. The map() function in Python.mp434.38MB
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不会用的朋友看这里 把磁力链接复制到离线下载,或者bt下载软件里即可下载文件,或者直接复制迅雷链接到迅雷里下载! 亲,你造吗?将网页分享给您的基友,下载的人越多速度越快哦!

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概述 838888磁力搜索是一个磁力链接搜索引擎,是学术研究的副产品,用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络,实时的自动采集数据,仅存储文件的标题、大小、文件列表、文件标识符(磁力链接)等基础信息 838888磁力搜索不下载任何真实资源,无法判断资源的合法性及真实性,使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源,不提供Tracker服务,不提供种子文件的下载,这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统