首页 磁力链接怎么用

[FreeTutorials.Eu] [UDEMY] The Complete Python Course Learn Python by Doing - [FTU]

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2018-12-19 19:37 2024-10-29 22:49 134 4.12 GB 226
二维码链接
[FreeTutorials.Eu] [UDEMY] The Complete Python Course Learn Python by Doing - [FTU]的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接,内容跟本站无关!
文件列表
  1. 01 Intro to Python/01-01 Welcome to this course!.mp412.24MB
  2. 01 Intro to Python/01-02 Overview of the course curriculum.mp47.61MB
  3. 01 Intro to Python/01-03 Introduction to this section.mp44.1MB
  4. 01 Intro to Python/01-04 Our Python coding environment.mp45.13MB
  5. 01 Intro to Python/01-05 Numbers and printing in Python.mp417.61MB
  6. 01 Intro to Python/01-06 Python strings and string formatting.mp420.75MB
  7. 01 Intro to Python/01-07 Getting user input in Python.mp419.4MB
  8. 01 Intro to Python/01-08 Boolean and comparisons in Python.mp437.85MB
  9. 01 Intro to Python/01-09 Lists, tuples, and sets in Python.mp424.37MB
  10. 01 Intro to Python/01-10 Advanced set operations.mp413.27MB
  11. 01 Intro to Python/01-11 Python dictionaries.mp413.25MB
  12. 01 Intro to Python/01-12 Calculating the length of lists.mp414.03MB
  13. 01 Intro to Python/01-13 Conclusion of this section.mp43.04MB
  14. 02 Functions and loops in Python/02-01 Introduction to this section.mp44.07MB
  15. 02 Functions and loops in Python/02-02 If statements in Python.mp419.44MB
  16. 02 Functions and loops in Python/02-03 While loops in Python.mp411.75MB
  17. 02 Functions and loops in Python/02-04 For loops, range(), and tuple destructuring in Python.mp430.93MB
  18. 02 Functions and loops in Python/02-05 Two important loop keywords + finding prime numbers.mp420.07MB
  19. 02 Functions and loops in Python/02-06 List slicing in Python.mp46.81MB
  20. 02 Functions and loops in Python/02-07 List comprehension in Python.mp420.14MB
  21. 02 Functions and loops in Python/02-08 Set and dictionary comprehensions.mp412.94MB
  22. 02 Functions and loops in Python/02-09 Functions, arguments, and parameters in Python.mp432.68MB
  23. 02 Functions and loops in Python/02-10 Functions and return values in Python.mp412.25MB
  24. 02 Functions and loops in Python/02-11 Lambda, first-class, and higher order functions in Python.mp415.24MB
  25. 02 Functions and loops in Python/02-12 Conclusion of this section.mp43.04MB
  26. 03 Milestone (Project 1)/03-01 Introduction to this section.mp44.04MB
  27. 03 Milestone (Project 1)/03-02 Installing Python in your computer.mp46.2MB
  28. 03 Milestone (Project 1)/03-03 Installing PyCharm in your computer.mp47.46MB
  29. 03 Milestone (Project 1)/03-04 Creating our first PyCharm project.mp412.89MB
  30. 03 Milestone (Project 1)/03-05 Setting up PyCharm font and display settings.mp46.36MB
  31. 03 Milestone (Project 1)/03-06 Coding our application's menu in Python.mp429.79MB
  32. 03 Milestone (Project 1)/03-07 Adding new movies to our application.mp424.63MB
  33. 03 Milestone (Project 1)/03-08 Showing the user their movies.mp412.4MB
  34. 03 Milestone (Project 1)/03-09 Finding movies and retrieving their details.mp434.29MB
  35. 03 Milestone (Project 1)/03-10 Conclusion of this section.mp42.19MB
  36. 04 Object-Oriented Programming with Python/04-01 Introduction to this section.mp45.17MB
  37. 04 Object-Oriented Programming with Python/04-02 Intro to Object-Oriented Programming with Python.mp434.54MB
  38. 04 Object-Oriented Programming with Python/04-03 More about classes and objects.mp420.44MB
  39. 04 Object-Oriented Programming with Python/04-04 Parameter naming in Python.mp48.3MB
  40. 04 Object-Oriented Programming with Python/04-05 Magic methods in Python.mp428.32MB
  41. 04 Object-Oriented Programming with Python/04-06 Inheritance in Python.mp413.59MB
  42. 04 Object-Oriented Programming with Python/04-07 The @property decorator.mp49.57MB
  43. 04 Object-Oriented Programming with Python/04-08 @classmethod and @staticmethod in Python.mp416.59MB
  44. 04 Object-Oriented Programming with Python/04-09 More @classmethod and @staticmethod examples.mp425.96MB
  45. 04 Object-Oriented Programming with Python/04-10 Conclusion of this section.mp43.66MB
  46. 05 Errors in Python/05-01 Introduction to this section.mp44.44MB
  47. 05 Errors in Python/05-02 Intro to errors in Python.mp428.05MB
  48. 05 Errors in Python/05-03 Built in errors in Python.mp422.77MB
  49. 05 Errors in Python/05-04 Raising errors in Python.mp427.1MB
  50. 05 Errors in Python/05-05 Creating our own errors in Python.mp429.42MB
  51. 05 Errors in Python/05-06 Dealing with Python errors.mp422.15MB
  52. 05 Errors in Python/05-07 The on success block and re-raising exceptions.mp428.65MB
  53. 05 Errors in Python/05-08 Handling those pesky user errors!.mp469.67MB
  54. 05 Errors in Python/05-09 Debugging with Pycharm.mp442.45MB
  55. 05 Errors in Python/05-10 Conclusion of this section.mp43.93MB
  56. 06 Files in Python/06-01 Introduction to this section.mp46.52MB
  57. 06 Files in Python/06-02 Files in Python.mp415MB
  58. 06 Files in Python/06-03 Python Exercise. Copying files.mp433.55MB
  59. 06 Files in Python/06-04 CSV files with Python.mp414.29MB
  60. 06 Files in Python/06-05 JSON files with Python.mp429.79MB
  61. 06 Files in Python/06-06 Using the with syntax in Python.mp48.33MB
  62. 06 Files in Python/06-07 Importing our own files.mp414.45MB
  63. 06 Files in Python/06-08 Python relative imports. Children.mp422.62MB
  64. 06 Files in Python/06-09 Python relative imports. Parents.mp49.15MB
  65. 06 Files in Python/06-10 Import errors and running as a Python script.mp48.94MB
  66. 06 Files in Python/06-11 Conclusion of this section.mp48.14MB
  67. 07 Databases in Python & Milestone (Project 2)/07-01 Introduction to this section.mp48.4MB
  68. 07 Databases in Python & Milestone (Project 2)/07-02 Intro to Milestone (Project 2).mp412.27MB
  69. 07 Databases in Python & Milestone (Project 2)/07-03 Milestone Project with lists.mp428.54MB
  70. 07 Databases in Python & Milestone (Project 2)/07-04 Storing books in files.mp431.63MB
  71. 07 Databases in Python & Milestone (Project 2)/07-05 Using JSON instead of CSV.mp418.11MB
  72. 07 Databases in Python & Milestone (Project 2)/07-06 Intro to databases with Python.mp412.72MB
  73. 07 Databases in Python & Milestone (Project 2)/07-07 Using SQLite in Python.mp45.58MB
  74. 07 Databases in Python & Milestone (Project 2)/07-08 Some database jargon.mp47.98MB
  75. 07 Databases in Python & Milestone (Project 2)/07-09 Creating our books table using Python.mp413.75MB
  76. 07 Databases in Python & Milestone (Project 2)/07-10 Inserting books using Python.mp410.63MB
  77. 07 Databases in Python & Milestone (Project 2)/07-11 SELECT examples.mp46.72MB
  78. 07 Databases in Python & Milestone (Project 2)/07-12 Getting all our books.mp411.64MB
  79. 07 Databases in Python & Milestone (Project 2)/07-13 UPDATE and DELETE.mp45.07MB
  80. 07 Databases in Python & Milestone (Project 2)/07-14 Filtering with WHERE.mp410.19MB
  81. 07 Databases in Python & Milestone (Project 2)/07-15 Finishing the Milestone Project.mp414.72MB
  82. 07 Databases in Python & Milestone (Project 2)/07-16 Ordering and limiting.mp45.83MB
  83. 07 Databases in Python & Milestone (Project 2)/07-17 Developing our context manager in Python.mp417.81MB
  84. 07 Databases in Python & Milestone (Project 2)/07-18 Errors in context managers.mp411.35MB
  85. 07 Databases in Python & Milestone (Project 2)/07-19 Conclusion of this section.mp44.8MB
  86. 08 Type hinting in Python/08-01 Introduction to this section.mp44.48MB
  87. 08 Type hinting in Python/08-02 Typing in Python.mp423.25MB
  88. 08 Type hinting in Python/08-03 Further reading.mp44.6MB
  89. 08 Type hinting in Python/08-04 Conclusion of this section.mp43.53MB
  90. 09 Advanced built-in functions in Python/09-01 Introduction to this section.mp43.64MB
  91. 09 Advanced built-in functions in Python/09-02 Generators in Python.mp416.57MB
  92. 09 Advanced built-in functions in Python/09-03 Python generator classes and iterators.mp411.78MB
  93. 09 Advanced built-in functions in Python/09-04 Iterables in Python.mp418.34MB
  94. 09 Advanced built-in functions in Python/09-05 The filter() function in Python.mp411.66MB
  95. 09 Advanced built-in functions in Python/09-06 The map() function in Python.mp48.5MB
  96. 09 Advanced built-in functions in Python/09-07 any() and all() in Python.mp47.65MB
  97. 09 Advanced built-in functions in Python/09-08 The enumerate() function.mp46.3MB
  98. 09 Advanced built-in functions in Python/09-09 Conclusion of this section.mp44.25MB
  99. 10 Advanced Python Development/10-01 Introduction to this section.mp45.1MB
  100. 10 Advanced Python Development/10-02 Mutability in Python.mp425.15MB
  101. 10 Advanced Python Development/10-03 Argument mutability in Python.mp416.01MB
  102. 10 Advanced Python Development/10-04 Default values for parameters.mp411.22MB
  103. 10 Advanced Python Development/10-05 Mutable default arguments (bad idea).mp414.47MB
  104. 10 Advanced Python Development/10-06 Argument unpacking in Python.mp417.25MB
  105. 10 Advanced Python Development/10-07 Queues in Python.mp47.05MB
  106. 10 Advanced Python Development/10-08 Some interesting Python collections.mp436.47MB
  107. 10 Advanced Python Development/10-09 Timezones.mp415.91MB
  108. 10 Advanced Python Development/10-10 Dates and time in Python.mp425.55MB
  109. 10 Advanced Python Development/10-11 Timing your code with Python.mp455.76MB
  110. 10 Advanced Python Development/10-12 Regular expressions.mp415.09MB
  111. 10 Advanced Python Development/10-13 Regex examples.mp457.74MB
  112. 10 Advanced Python Development/10-14 Introduction to logging in Python.mp421.7MB
  113. 10 Advanced Python Development/10-15 Logging to a file and other features.mp49.81MB
  114. 10 Advanced Python Development/10-16 Conclusion of this section.mp43.77MB
  115. 11 Web Scraping with Python/11-01 Introduction to this section.mp47.15MB
  116. 11 Web Scraping with Python/11-02 Understanding HTML with BeautifulSoup.mp430.89MB
  117. 11 Web Scraping with Python/11-03 More complex HTML parsing.mp461.31MB
  118. 11 Web Scraping with Python/11-04 Structuring our parsing program better.mp421.56MB
  119. 11 Web Scraping with Python/11-05 Splitting HTML locators out of our Python class.mp412.12MB
  120. 11 Web Scraping with Python/11-06 Understanding HTML with the browser.mp423.28MB
  121. 11 Web Scraping with Python/11-07 Scraping our first website with Python.mp416.22MB
  122. 11 Web Scraping with Python/11-08 Milestone Project 3. A Quote Scraper.mp412.33MB
  123. 11 Web Scraping with Python/11-09 Quotes Project 2. Structuring a scraping app in Python.mp43.94MB
  124. 11 Web Scraping with Python/11-10 Quotes Project 3. Getting our locators.mp413.02MB
  125. 11 Web Scraping with Python/11-11 Quotes Project 4. Crafting our quote parser.mp413.72MB
  126. 11 Web Scraping with Python/11-12 Quotes Project 5. The quotes page.mp47.99MB
  127. 11 Web Scraping with Python/11-13 Quotes Project 6. Recap of the project.mp46.7MB
  128. 11 Web Scraping with Python/11-14 Milestone Project 4. A Book Scraper + application.mp411.77MB
  129. 11 Web Scraping with Python/11-15 Books Project 2. Recap of HTML locators.mp47.43MB
  130. 11 Web Scraping with Python/11-16 Books Project 3. Creating locators in Python.mp46.27MB
  131. 11 Web Scraping with Python/11-17 Books Project 4. Creating our page.mp45.6MB
  132. 11 Web Scraping with Python/11-18 Books Project 5. Creating our book parser.mp431.32MB
  133. 11 Web Scraping with Python/11-19 Books Project 6. Writing our app file.mp410.9MB
  134. 11 Web Scraping with Python/11-20 Books Project 7. Sorting the books.mp421.15MB
  135. 11 Web Scraping with Python/11-21 Books Project 8. Constructing our menu.mp416.05MB
  136. 11 Web Scraping with Python/11-22 ASIDE. The best way to write user menus.mp42.85MB
  137. 11 Web Scraping with Python/11-23 Books Project 9. Getting multiple pages.mp47.86MB
  138. 11 Web Scraping with Python/11-24 Books Project 10. Multiple pages in Python.mp413.24MB
  139. 11 Web Scraping with Python/11-25 Books Project 11. Getting the page count in Python.mp421.28MB
  140. 11 Web Scraping with Python/11-26 Books Project 12. Adding logging to our Python project.mp469.88MB
  141. 11 Web Scraping with Python/11-27 A word on scraping pages with JavaScript.mp48.14MB
  142. 11 Web Scraping with Python/11-28 Conclusion of this section.mp43.55MB
  143. 12 Asynchronous Python Development/12-01 Introduction to this section.mp48.11MB
  144. 12 Asynchronous Python Development/12-02 The Dining Philosophers Problem.mp49.13MB
  145. 12 Asynchronous Python Development/12-03 Processes and threads.mp410.45MB
  146. 12 Asynchronous Python Development/12-04 The Python GIL.mp412.51MB
  147. 12 Asynchronous Python Development/12-05 Example. Threads in Python.mp418.38MB
  148. 12 Asynchronous Python Development/12-06 Using Python concurrent.futures. The ThreadPoolExecutor.mp45.14MB
  149. 12 Asynchronous Python Development/12-07 Don't kill threads!.mp42.95MB
  150. 12 Asynchronous Python Development/12-08 Multiprocessing in Python.mp412.11MB
  151. 12 Asynchronous Python Development/12-09 Using Python concurrent.futures. The ProcessPoolExecutor.mp44.15MB
  152. 12 Asynchronous Python Development/12-10 Dealing with shared state in threads.mp412.63MB
  153. 12 Asynchronous Python Development/12-11 Queuing in threads with shared state.mp420.14MB
  154. 12 Asynchronous Python Development/12-12 Using Python generators instead of threads.mp46.73MB
  155. 12 Asynchronous Python Development/12-13 Our first single-threaded task scheduler in Python.mp48.44MB
  156. 12 Asynchronous Python Development/12-14 Yielding from another iterator in Python.mp48.4MB
  157. 12 Asynchronous Python Development/12-15 Receiving data through yield.mp413.69MB
  158. 12 Asynchronous Python Development/12-16 The async and await keywords.mp49.86MB
  159. 12 Asynchronous Python Development/12-17 Watch these talks for more explanations and examples!.mp42.39MB
  160. 12 Asynchronous Python Development/12-18 Our asynchronous scraper.mp413.13MB
  161. 12 Asynchronous Python Development/12-19 Making our first async request in Python.mp422.87MB
  162. 12 Asynchronous Python Development/12-20 Getting multiple pages efficiently.mp417.88MB
  163. 12 Asynchronous Python Development/12-21 Using async_timeout for security.mp43.44MB
  164. 12 Asynchronous Python Development/12-22 Turning our book scraping project async.mp436.85MB
  165. 12 Asynchronous Python Development/12-23 A note on HTTPS with Python and Mac OS X.mp49.26MB
  166. 12 Asynchronous Python Development/12-24 Conclusion of this section.mp45.63MB
  167. 13 Python on the console and managing project dependencies/13-01 Intro to this section.mp44.76MB
  168. 13 Python on the console and managing project dependencies/13-02 Running Python in the console.mp411.35MB
  169. 13 Python on the console and managing project dependencies/13-03 Terminal video. Running Python.mp48.94MB
  170. 13 Python on the console and managing project dependencies/13-04 Terminal video. What is a virtualenv.mp419.8MB
  171. 13 Python on the console and managing project dependencies/13-05 Terminal video. Navigating the terminal and using virtualenv.mp415.64MB
  172. 13 Python on the console and managing project dependencies/13-06 Terminal video. Using Pipenv.mp419.33MB
  173. 13 Python on the console and managing project dependencies/13-07 Terminal video. Pipenv and virtualenv.mp48.73MB
  174. 13 Python on the console and managing project dependencies/13-08 Conclusion of this section.mp43.16MB
  175. 14 Web Development with Flask/14-01 Intro to this section.mp416.42MB
  176. 14 Web Development with Flask/14-02 Setting up our project with Pipenv.mp418.18MB
  177. 14 Web Development with Flask/14-03 Our first Flask endpoint.mp414.97MB
  178. 14 Web Development with Flask/14-04 Returning information with Flask and Python.mp47.28MB
  179. 14 Web Development with Flask/14-05 Rendering HTML with Flask and Python.mp49.73MB
  180. 14 Web Development with Flask/14-06 Error pages and Jinja2 inheritance.mp417.39MB
  181. 14 Web Development with Flask/14-07 Rendering forms with Flask and Python.mp423.8MB
  182. 14 Web Development with Flask/14-08 Accessing POST form data with Flask.mp410.51MB
  183. 14 Web Development with Flask/14-09 Putting our form in a single endpoint.mp45.51MB
  184. 14 Web Development with Flask/14-10 Using Jinja2 for loops to create a nicer homepage.mp411.67MB
  185. 14 Web Development with Flask/14-11 Adding navigation to our website.mp411.86MB
  186. 14 Web Development with Flask/14-12 Conclusion of this section.mp44.54MB
  187. 15 Decorators in Python/15-01 Introduction to this section.mp44.91MB
  188. 15 Decorators in Python/15-02 A simple decorator in Python.mp412.19MB
  189. 15 Decorators in Python/15-03 Using a @syntax.mp47.45MB
  190. 15 Decorators in Python/15-04 Functools wraps in Python.mp44.61MB
  191. 15 Decorators in Python/15-05 Decorating functions with parameters.mp410.75MB
  192. 15 Decorators in Python/15-06 Decorators with parameters.mp420.21MB
  193. 15 Decorators in Python/15-07 Functions that accept multiple arguments.mp410.77MB
  194. 15 Decorators in Python/15-08 Generic decorators for any function.mp46.26MB
  195. 15 Decorators in Python/15-09 Conclusion of this section.mp45.15MB
  196. 16 Advanced Object-Oriented Programming/16-01 Introduction to this section.mp44.19MB
  197. 16 Advanced Object-Oriented Programming/16-02 Intro to multiple inheritance with Python.mp419.97MB
  198. 16 Advanced Object-Oriented Programming/16-03 Intro to ABCs in Python.mp412.07MB
  199. 16 Advanced Object-Oriented Programming/16-04 The usefulness of ABCs.mp45.76MB
  200. 16 Advanced Object-Oriented Programming/16-05 The relationship between ABCs and interfaces.mp410.3MB
  201. 16 Advanced Object-Oriented Programming/16-06 The property setter in Python.mp419.04MB
  202. 16 Advanced Object-Oriented Programming/16-07 Conclusion of this section.mp44.26MB
  203. 17 Algorithms and Data Structures/17-01 Introduction to this section.mp44.71MB
  204. 17 Algorithms and Data Structures/17-02 Presentation. Queues, stacks, and complexity.mp447.39MB
  205. 17 Algorithms and Data Structures/17-03 Presentation. Binary search.mp427.54MB
  206. 17 Algorithms and Data Structures/17-04 Presentation. Binary trees.mp423.51MB
  207. 17 Algorithms and Data Structures/17-05 Presentation. Traversal of binary trees.mp437.77MB
  208. 17 Algorithms and Data Structures/17-06 Presentation. Adding elements to a binary tree.mp437.15MB
  209. 17 Algorithms and Data Structures/17-07 Adding elements to a binary tree in Python.mp462.59MB
  210. 17 Algorithms and Data Structures/17-08 Recursion and inorder traversal in Python.mp4110.36MB
  211. 17 Algorithms and Data Structures/17-09 Finding nodes in a tree with Python.mp431.43MB
  212. 17 Algorithms and Data Structures/17-10 How do you delete nodes from a binary tree.mp458.05MB
  213. 17 Algorithms and Data Structures/17-11 Deleting nodes in code with Python.mp4138.04MB
  214. 17 Algorithms and Data Structures/17-12 Deleting nodes with two children in code.mp4216.25MB
  215. 17 Algorithms and Data Structures/17-13 Testing our binary tree!.mp426.71MB
  216. 17 Algorithms and Data Structures/17-14 Conclusion of this section.mp43.03MB
  217. 18 Python libraries/18-01 Introduction to this section.mp44.62MB
  218. 18 Python libraries/18-02 Python libraries overview.mp435.68MB
  219. 18 Python libraries/18-03 Using pylint.mp481.62MB
  220. 18 Python libraries/18-04 Using yapf.mp443.16MB
  221. 18 Python libraries/18-05 Sending e-mails with smtplib.mp459.15MB
  222. 18 Python libraries/18-06 Sending e-mails with Mailgun.mp475.08MB
  223. 18 Python libraries/18-07 Creating a re-usable Mailgun library.mp447.66MB
  224. 18 Python libraries/18-08 Sneak peek. My IDE setup!.mp458.93MB
  225. 18 Python libraries/18-09 Conclusion of this section.mp43.47MB
  226. 19 Bonus Section/19-01 Thank you for taking the course.mp46.45MB
友情提示
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!

违规内容投诉邮箱:[email protected]

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