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[FreeCourseSite.com] Udemy - The Complete Python Course Learn Python by Doing

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FreeCourseSite com Udemy - The Complete Python Course Learn Python by Doing

文件列表
  1. 1. Intro to Python/1. Welcome to this course!.mp412.24MB
  2. 1. Intro to Python/10. Python strings and string formatting.mp420.75MB
  3. 1. Intro to Python/11. Getting user input in Python.mp419.4MB
  4. 1. Intro to Python/15. Boolean and comparisons in Python.mp437.86MB
  5. 1. Intro to Python/17. Lists, tuples, and sets in Python.mp424.38MB
  6. 1. Intro to Python/18. Advanced set operations.mp413.27MB
  7. 1. Intro to Python/2. Overview of the course curriculum.mp47.61MB
  8. 1. Intro to Python/22. Python dictionaries.mp413.25MB
  9. 1. Intro to Python/24. Calculating the length of lists.mp414.03MB
  10. 1. Intro to Python/27. Conclusion of this section.mp43.04MB
  11. 1. Intro to Python/3. Introduction to this section.mp44.1MB
  12. 1. Intro to Python/4. Our Python coding environment.mp45.13MB
  13. 1. Intro to Python/5. Numbers and printing in Python.mp417.61MB
  14. 10. Advanced Python Development/1. Introduction to this section.mp45.1MB
  15. 10. Advanced Python Development/11. Timezones.mp415.91MB
  16. 10. Advanced Python Development/12. Dates and time in Python.mp425.55MB
  17. 10. Advanced Python Development/13. Timing your code with Python.mp49.88MB
  18. 10. Advanced Python Development/14. Regular expressions.mp415.09MB
  19. 10. Advanced Python Development/15. Regex examples.mp457.74MB
  20. 10. Advanced Python Development/18. Introduction to logging in Python.mp421.7MB
  21. 10. Advanced Python Development/19. Logging to a file and other features.mp49.81MB
  22. 10. Advanced Python Development/2. Mutability in Python.mp425.15MB
  23. 10. Advanced Python Development/20. Conclusion of this section.mp43.77MB
  24. 10. Advanced Python Development/3. Argument mutability in Python.mp416.01MB
  25. 10. Advanced Python Development/4. Default values for parameters.mp411.23MB
  26. 10. Advanced Python Development/5. Mutable default arguments (bad idea).mp414.47MB
  27. 10. Advanced Python Development/6. Argument unpacking in Python.mp417.25MB
  28. 10. Advanced Python Development/7. Queues in Python.mp47.05MB
  29. 10. Advanced Python Development/8. Some interesting Python collections.mp436.47MB
  30. 11. Web Scraping with Python/1. Introduction to this section.mp47.15MB
  31. 11. Web Scraping with Python/10. Quotes Project 2 Structuring a scraping app in Python.mp43.94MB
  32. 11. Web Scraping with Python/11. Quotes Project 3 Getting our locators.mp413.02MB
  33. 11. Web Scraping with Python/12. Quotes Project 4 Crafting our quote parser.mp413.72MB
  34. 11. Web Scraping with Python/13. Quotes Project 5 The quotes page.mp47.99MB
  35. 11. Web Scraping with Python/14. Quotes Project 6 Recap of the project.mp46.7MB
  36. 11. Web Scraping with Python/15. Milestone Project 4 A Book Scraper + application.mp411.77MB
  37. 11. Web Scraping with Python/16. Books Project 2 Recap of HTML locators.mp47.43MB
  38. 11. Web Scraping with Python/17. Books Project 3 Creating locators in Python.mp46.27MB
  39. 11. Web Scraping with Python/18. Books Project 4 Creating our page.mp45.6MB
  40. 11. Web Scraping with Python/19. Books Project 5 Creating our book parser.mp431.32MB
  41. 11. Web Scraping with Python/20. Books Project 6 Writing our app file.mp410.9MB
  42. 11. Web Scraping with Python/21. Books Project 7 Sorting the books.mp421.16MB
  43. 11. Web Scraping with Python/22. Books Project 8 Constructing our menu.mp416.06MB
  44. 11. Web Scraping with Python/23. ASIDE The best way to write user menus.mp42.85MB
  45. 11. Web Scraping with Python/24. Books Project 9 Getting multiple pages.mp47.87MB
  46. 11. Web Scraping with Python/25. Books Project 10 Multiple pages in Python.mp413.25MB
  47. 11. Web Scraping with Python/26. Books Project 11 Getting the page count in Python.mp421.29MB
  48. 11. Web Scraping with Python/27. Books Project 12 Adding logging to our Python project.mp469.89MB
  49. 11. Web Scraping with Python/28. A word on scraping pages with JavaScript.mp48.14MB
  50. 11. Web Scraping with Python/3. Understanding HTML with BeautifulSoup.mp430.89MB
  51. 11. Web Scraping with Python/30. Conclusion of this section.mp43.55MB
  52. 11. Web Scraping with Python/4. More complex HTML parsing.mp461.31MB
  53. 11. Web Scraping with Python/5. Structuring our parsing program better.mp421.56MB
  54. 11. Web Scraping with Python/6. Splitting HTML locators out of our Python class.mp412.12MB
  55. 11. Web Scraping with Python/7. Understanding HTML with the browser.mp423.28MB
  56. 11. Web Scraping with Python/8. Scraping our first website with Python.mp416.22MB
  57. 11. Web Scraping with Python/9. Milestone Project 3 A Quote Scraper.mp412.33MB
  58. 12. Asynchronous Python Development/1. Introduction to this section.mp48.12MB
  59. 12. Asynchronous Python Development/10. Multiprocessing in Python.mp412.11MB
  60. 12. Asynchronous Python Development/11. Using Python concurrent.futures the ProcessPoolExecutor.mp44.16MB
  61. 12. Asynchronous Python Development/12. Dealing with shared state in threads.mp412.63MB
  62. 12. Asynchronous Python Development/13. Queuing in threads with shared state.mp420.14MB
  63. 12. Asynchronous Python Development/14. Using Python generators instead of threads.mp46.73MB
  64. 12. Asynchronous Python Development/15. Our first single-threaded task scheduler in Python.mp48.45MB
  65. 12. Asynchronous Python Development/16. Yielding from another iterator in Python.mp48.4MB
  66. 12. Asynchronous Python Development/17. Receiving data through yield.mp413.69MB
  67. 12. Asynchronous Python Development/18. The async and await keywords.mp49.86MB
  68. 12. Asynchronous Python Development/19. Watch these talks for more explanations and examples!.mp42.39MB
  69. 12. Asynchronous Python Development/20. Our asynchronous scraper.mp413.13MB
  70. 12. Asynchronous Python Development/21. Making our first async request in Python.mp422.87MB
  71. 12. Asynchronous Python Development/22. Getting multiple pages efficiently.mp417.88MB
  72. 12. Asynchronous Python Development/23. Using async_timeout for security.mp43.45MB
  73. 12. Asynchronous Python Development/24. Turning our book scraping project async.mp436.85MB
  74. 12. Asynchronous Python Development/25. A note on HTTPS with Python and Mac OS X.mp49.26MB
  75. 12. Asynchronous Python Development/26. Conclusion of this section.mp45.63MB
  76. 12. Asynchronous Python Development/4. The Dining Philosophers Problem.mp49.14MB
  77. 12. Asynchronous Python Development/5. Processes and threads.mp410.45MB
  78. 12. Asynchronous Python Development/6. The Python GIL.mp412.51MB
  79. 12. Asynchronous Python Development/7. Example threads in Python.mp418.39MB
  80. 12. Asynchronous Python Development/8. Using Python concurrent.futures the ThreadPoolExecutor.mp45.14MB
  81. 12. Asynchronous Python Development/9. Don_t kill threads!.mp42.95MB
  82. 13. Python on the console and managing project dependencies/1. Intro to this section.mp44.76MB
  83. 13. Python on the console and managing project dependencies/2. Running Python in the console.mp411.35MB
  84. 13. Python on the console and managing project dependencies/3. Terminal video running Python.mp48.94MB
  85. 13. Python on the console and managing project dependencies/4. Terminal video what is a virtualenv.mp419.8MB
  86. 13. Python on the console and managing project dependencies/5. Terminal video navigating the terminal and using virtualenv.mp415.64MB
  87. 13. Python on the console and managing project dependencies/6. Terminal video using Pipenv.mp419.33MB
  88. 13. Python on the console and managing project dependencies/7. Terminal video Pipenv and virtualenv.mp48.73MB
  89. 13. Python on the console and managing project dependencies/9. Conclusion of this section.mp43.16MB
  90. 14. Web Development with Flask/1. Intro to this section.mp416.42MB
  91. 14. Web Development with Flask/10. Putting our form in a single endpoint.mp45.51MB
  92. 14. Web Development with Flask/11. Using Jinja2 for loops to create a nicer homepage.mp411.67MB
  93. 14. Web Development with Flask/12. Adding navigation to our website.mp411.86MB
  94. 14. Web Development with Flask/13. Conclusion of this section.mp44.54MB
  95. 14. Web Development with Flask/2. Setting up our project with Pipenv.mp418.18MB
  96. 14. Web Development with Flask/4. Our first Flask endpoint.mp414.97MB
  97. 14. Web Development with Flask/5. Returning information with Flask and Python.mp47.28MB
  98. 14. Web Development with Flask/6. Rendering HTML with Flask and Python.mp49.73MB
  99. 14. Web Development with Flask/7. Error pages and Jinja2 inheritance.mp417.39MB
  100. 14. Web Development with Flask/8. Rendering forms with Flask and Python.mp423.8MB
  101. 14. Web Development with Flask/9. Accessing POST form data with Flask.mp410.51MB
  102. 15. Decorators in Python/1. Introduction to this section.mp44.92MB
  103. 15. Decorators in Python/10. Generic decorators for any function.mp46.26MB
  104. 15. Decorators in Python/13. Conclusion of this section.mp45.15MB
  105. 15. Decorators in Python/2. A simple decorator in Python.mp412.19MB
  106. 15. Decorators in Python/5. Using a @syntax.mp47.45MB
  107. 15. Decorators in Python/6. Functools wraps in Python.mp44.61MB
  108. 15. Decorators in Python/7. Decorating functions with parameters.mp410.75MB
  109. 15. Decorators in Python/8. Decorators with parameters.mp420.22MB
  110. 15. Decorators in Python/9. Functions that accept multiple arguments.mp410.77MB
  111. 16. Advanced Object-Oriented Programming/1. Introduction to this section.mp44.19MB
  112. 16. Advanced Object-Oriented Programming/10. The property setter in Python.mp419.04MB
  113. 16. Advanced Object-Oriented Programming/12. Conclusion of this section.mp44.26MB
  114. 16. Advanced Object-Oriented Programming/2. Intro to multiple inheritance with Python.mp419.97MB
  115. 16. Advanced Object-Oriented Programming/5. Intro to ABCs in Python.mp412.07MB
  116. 16. Advanced Object-Oriented Programming/6. The usefulness of ABCs.mp45.76MB
  117. 16. Advanced Object-Oriented Programming/7. The relationship between ABCs and interfaces.mp410.3MB
  118. 17. Algorithms and Data Structures/1. Introduction to this section.mp44.71MB
  119. 17. Algorithms and Data Structures/10. How do you delete nodes from a binary tree.mp458.05MB
  120. 17. Algorithms and Data Structures/11. Deleting nodes in code with Python.mp4138.04MB
  121. 17. Algorithms and Data Structures/12. Deleting nodes with two children in code.mp4216.25MB
  122. 17. Algorithms and Data Structures/13. Testing our binary tree!.mp426.72MB
  123. 17. Algorithms and Data Structures/14. Conclusion of this section.mp43.03MB
  124. 17. Algorithms and Data Structures/2. Presentation queues, stacks, and complexity.mp447.39MB
  125. 17. Algorithms and Data Structures/3. Presentation binary search.mp427.54MB
  126. 17. Algorithms and Data Structures/4. Presentation binary trees.mp423.51MB
  127. 17. Algorithms and Data Structures/5. Presentation traversal of binary trees.mp437.77MB
  128. 17. Algorithms and Data Structures/6. Presentation adding elements to a binary tree.mp437.15MB
  129. 17. Algorithms and Data Structures/7. Adding elements to a binary tree in Python.mp462.59MB
  130. 17. Algorithms and Data Structures/8. Recursion and inorder traversal in Python.mp4110.36MB
  131. 17. Algorithms and Data Structures/9. Finding nodes in a tree with Python.mp431.43MB
  132. 18. Python libraries/1. Introduction to this section.mp44.62MB
  133. 18. Python libraries/2. Python libraries overview.mp435.68MB
  134. 18. Python libraries/3. Using pylint.mp481.62MB
  135. 18. Python libraries/4. Using yapf.mp443.16MB
  136. 18. Python libraries/5. Sending e-mails with smtplib.mp459.15MB
  137. 18. Python libraries/6. Sending e-mails with Mailgun.mp475.08MB
  138. 18. Python libraries/7. Creating a re-usable Mailgun library.mp447.66MB
  139. 18. Python libraries/8. Sneak peek my IDE setup!.mp458.93MB
  140. 18. Python libraries/9. Conclusion of this section.mp43.47MB
  141. 19. Bonus Section/1. Thank you for taking the course.mp46.45MB
  142. 2. Functions and loops in Python/1. Introduction to this section.mp44.08MB
  143. 2. Functions and loops in Python/12. List slicing in Python.mp46.81MB
  144. 2. Functions and loops in Python/13. List comprehension in Python.mp420.14MB
  145. 2. Functions and loops in Python/14. Set and dictionary comprehensions.mp412.94MB
  146. 2. Functions and loops in Python/18. Functions, arguments, and parameters in Python.mp432.68MB
  147. 2. Functions and loops in Python/19. Functions and return values in Python.mp412.25MB
  148. 2. Functions and loops in Python/2. If statements in Python.mp419.44MB
  149. 2. Functions and loops in Python/21. Lambda, first-class, and higher order functions in Python.mp415.24MB
  150. 2. Functions and loops in Python/23. Conclusion of this section.mp43.04MB
  151. 2. Functions and loops in Python/4. While loops in Python.mp411.75MB
  152. 2. Functions and loops in Python/7. For loops, range(), and tuple destructuring in Python.mp430.93MB
  153. 2. Functions and loops in Python/8. Two important loop keywords + finding prime numbers.mp420.07MB
  154. 3. Milestone Project 1/1. Introduction to this section.mp44.04MB
  155. 3. Milestone Project 1/10. Showing the user their movies.mp412.4MB
  156. 3. Milestone Project 1/11. Finding movies and retrieving their details.mp434.3MB
  157. 3. Milestone Project 1/12. Conclusion of this section.mp42.19MB
  158. 3. Milestone Project 1/3. Installing Python in your computer.mp46.2MB
  159. 3. Milestone Project 1/4. Installing PyCharm in your computer.mp47.46MB
  160. 3. Milestone Project 1/5. Creating our first PyCharm project.mp412.89MB
  161. 3. Milestone Project 1/6. Setting up PyCharm font and display settings.mp46.36MB
  162. 3. Milestone Project 1/8. Coding our application_s menu in Python.mp429.79MB
  163. 3. Milestone Project 1/9. Adding new movies to our application.mp424.63MB
  164. 4. Object-Oriented Programming with Python/1. Introduction to this section.mp45.17MB
  165. 4. Object-Oriented Programming with Python/10. Parameter naming in Python.mp48.3MB
  166. 4. Object-Oriented Programming with Python/11. Magic methods in Python.mp428.32MB
  167. 4. Object-Oriented Programming with Python/14. Inheritance in Python.mp413.59MB
  168. 4. Object-Oriented Programming with Python/15. The @property decorator.mp49.57MB
  169. 4. Object-Oriented Programming with Python/17. @classmethod and @staticmethod in Python.mp416.59MB
  170. 4. Object-Oriented Programming with Python/18. More @classmethod and @staticmethod examples.mp425.96MB
  171. 4. Object-Oriented Programming with Python/2. Intro to Object-Oriented Programming with Python.mp434.54MB
  172. 4. Object-Oriented Programming with Python/20. Conclusion of this section.mp43.66MB
  173. 4. Object-Oriented Programming with Python/7. More about classes and objects.mp420.44MB
  174. 5. Errors in Python/1. Introduction to this section.mp44.44MB
  175. 5. Errors in Python/12. Dealing with Python errors.mp422.15MB
  176. 5. Errors in Python/14. The on success block and re-raising exceptions.mp428.65MB
  177. 5. Errors in Python/16. Handling those pesky user errors!.mp469.67MB
  178. 5. Errors in Python/19. Debugging with Pycharm.mp442.45MB
  179. 5. Errors in Python/22. Conclusion of this section.mp43.93MB
  180. 5. Errors in Python/3. Intro to errors in Python.mp428.06MB
  181. 5. Errors in Python/4. Built in errors in Python.mp422.77MB
  182. 5. Errors in Python/6. Raising errors in Python.mp427.1MB
  183. 5. Errors in Python/9. Creating our own errors in Python.mp429.42MB
  184. 6. Files in Python/1. Introduction to this section.mp46.52MB
  185. 6. Files in Python/11. Using the with syntax in Python.mp48.33MB
  186. 6. Files in Python/12. Importing our own files.mp414.46MB
  187. 6. Files in Python/13. Python relative imports children.mp422.62MB
  188. 6. Files in Python/16. Python relative imports parents.mp49.15MB
  189. 6. Files in Python/17. Import errors and running as a Python script.mp48.94MB
  190. 6. Files in Python/19. Conclusion of this section.mp48.14MB
  191. 6. Files in Python/3. Files in Python.mp415MB
  192. 6. Files in Python/4. Python Exercise copying files.mp433.55MB
  193. 6. Files in Python/7. CSV files with Python.mp414.29MB
  194. 6. Files in Python/8. JSON files with Python.mp429.79MB
  195. 7. Databases in Python _ Milestone Project 2/1. Introduction to this section.mp48.4MB
  196. 7. Databases in Python _ Milestone Project 2/10. Some database jargon.mp47.98MB
  197. 7. Databases in Python _ Milestone Project 2/11. Creating our books table using Python.mp413.75MB
  198. 7. Databases in Python _ Milestone Project 2/12. Inserting books using Python.mp410.64MB
  199. 7. Databases in Python _ Milestone Project 2/13. SELECT examples.mp46.72MB
  200. 7. Databases in Python _ Milestone Project 2/14. Getting all our books.mp411.64MB
  201. 7. Databases in Python _ Milestone Project 2/15. UPDATE and DELETE.mp45.07MB
  202. 7. Databases in Python _ Milestone Project 2/16. Filtering with WHERE.mp410.19MB
  203. 7. Databases in Python _ Milestone Project 2/17. Finishing the Milestone Project.mp414.72MB
  204. 7. Databases in Python _ Milestone Project 2/18. Ordering and limiting.mp45.83MB
  205. 7. Databases in Python _ Milestone Project 2/19. Developing our context manager in Python.mp417.81MB
  206. 7. Databases in Python _ Milestone Project 2/20. Errors in context managers.mp411.35MB
  207. 7. Databases in Python _ Milestone Project 2/22. Conclusion of this section.mp44.8MB
  208. 7. Databases in Python _ Milestone Project 2/3. Intro to Milestone Project 2.mp412.27MB
  209. 7. Databases in Python _ Milestone Project 2/5. Milestone Project with lists.mp428.54MB
  210. 7. Databases in Python _ Milestone Project 2/6. Storing books in files.mp431.63MB
  211. 7. Databases in Python _ Milestone Project 2/7. Using JSON instead of CSV.mp418.11MB
  212. 7. Databases in Python _ Milestone Project 2/8. Intro to databases with Python.mp412.72MB
  213. 7. Databases in Python _ Milestone Project 2/9. Using SQLite in Python.mp45.58MB
  214. 8. Type hinting in Python/1. Introduction to this section.mp44.48MB
  215. 8. Type hinting in Python/2. Typing in Python.mp423.25MB
  216. 8. Type hinting in Python/3. Further reading.mp44.6MB
  217. 8. Type hinting in Python/4. Conclusion of this section.mp43.53MB
  218. 9. Advanced built-in functions in Python/1. Introduction to this section.mp43.64MB
  219. 9. Advanced built-in functions in Python/10. The map() function in Python.mp48.5MB
  220. 9. Advanced built-in functions in Python/11. any() and all() in Python.mp47.65MB
  221. 9. Advanced built-in functions in Python/12. The enumerate() function.mp46.3MB
  222. 9. Advanced built-in functions in Python/16. Conclusion of this section.mp44.25MB
  223. 9. Advanced built-in functions in Python/2. Generators in Python.mp416.57MB
  224. 9. Advanced built-in functions in Python/5. Python generator classes and iterators.mp411.78MB
  225. 9. Advanced built-in functions in Python/8. Iterables in Python.mp418.34MB
  226. 9. Advanced built-in functions in Python/9. The filter() function in Python.mp411.66MB
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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
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