首页 磁力链接怎么用

[Tutorialsplanet.NET] Udemy - The Python Mega Course Build 10 Real World Applications

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 2019-8-22 15:13 2024-12-25 14:38 223 3.48 GB 173
二维码链接
[Tutorialsplanet.NET] Udemy - The Python Mega Course Build 10 Real World Applications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. 1. Getting Started/1. Introduction Video.mp448.81MB
  2. 1. Getting Started/3. Your First Tiny Python Program.mp410.04MB
  3. 1. Getting Started/4. The Command Line.mp411.81MB
  4. 1. Getting Started/5. The Python Shell.mp43.47MB
  5. 10. Application 4 Build a Portfolio Website with Python and Flask/1. Portfolio Website -How The Output Will Look Like.mp42.71MB
  6. 10. Application 4 Build a Portfolio Website with Python and Flask/10. Maintaining the Live Website.mp415.58MB
  7. 10. Application 4 Build a Portfolio Website with Python and Flask/2. Your First Website.mp415.77MB
  8. 10. Application 4 Build a Portfolio Website with Python and Flask/3. HTML Templates.mp48.06MB
  9. 10. Application 4 Build a Portfolio Website with Python and Flask/4. Navigation Menu.mp417.35MB
  10. 10. Application 4 Build a Portfolio Website with Python and Flask/6. CSS Styling.mp412.71MB
  11. 10. Application 4 Build a Portfolio Website with Python and Flask/7. Creating a Python Virtual Environment.mp413.2MB
  12. 10. Application 4 Build a Portfolio Website with Python and Flask/9. Deploying the Website to a Live Server.mp456.78MB
  13. 11. Graphical User Interfaces with Tkinter/1. Introduction to Tkinter.mp44.46MB
  14. 11. Graphical User Interfaces with Tkinter/2. Setting up a GUI with Widgets.mp416.22MB
  15. 11. Graphical User Interfaces with Tkinter/3. Connecting GUI Widgets with Callback Functions.mp416.99MB
  16. 12. Interacting with Databases with Python/1. Introduction to Python with Databases.mp45MB
  17. 12. Interacting with Databases with Python/2. Connecting and Inserting Data to SQLite via Python.mp423.94MB
  18. 12. Interacting with Databases with Python/3. Selecting, Inserting, Deleting, and Updating SQLite Records.mp413.51MB
  19. 12. Interacting with Databases with Python/4. Introduction to PostgreSQL Psycopg2.mp420.35MB
  20. 12. Interacting with Databases with Python/5. Selecting, Inserting, Deleting, and Updating PostgreSQL Records.mp427.68MB
  21. 13. Application 5 Build a Desktop Database Application/1. Desktop Database App - How The Output Will Look Like.mp44.32MB
  22. 13. Application 5 Build a Desktop Database Application/2. User Interface Design.mp49.75MB
  23. 13. Application 5 Build a Desktop Database Application/3. Frontend Interface.mp426.19MB
  24. 13. Application 5 Build a Desktop Database Application/4. Backend.mp446.69MB
  25. 13. Application 5 Build a Desktop Database Application/5. Connecting the Frontend to the Backend, Part 1.mp437.34MB
  26. 13. Application 5 Build a Desktop Database Application/6. Connecting the Frontend to the Backend, Part 2.mp449.09MB
  27. 13. Application 5 Build a Desktop Database Application/9. Creating a Standalone Executable Version of the Program.mp410.82MB
  28. 14. Object Oriented Programming/1. Object Oriented Programming Explained.mp49.81MB
  29. 14. Object Oriented Programming/2. Turning this Application into OOP Style, Part 1.mp430.7MB
  30. 14. Object Oriented Programming/3. Turning this Application into OOP Style, Part 2.mp434.25MB
  31. 14. Object Oriented Programming/4. Creating a Bank Account Object.mp439.21MB
  32. 14. Object Oriented Programming/5. Inheritance.mp422.47MB
  33. 14. Object Oriented Programming/6. OOP Glossary.mp416.36MB
  34. 15. Python for Image and Video Processing with OpenCV/1. Introduction.mp44.05MB
  35. 15. Python for Image and Video Processing with OpenCV/3. Loading, Displaying, Resizing, and Writing Images.mp430.96MB
  36. 15. Python for Image and Video Processing with OpenCV/6. Solution with Explanations.mp48.16MB
  37. 15. Python for Image and Video Processing with OpenCV/7. Face Detection.mp440.6MB
  38. 15. Python for Image and Video Processing with OpenCV/8. Capturing Video.mp436.14MB
  39. 16. Application 6 Build a Webcam Motion Detector/1. Webcam Motion Detector - How The Output Will Look Like.mp45.53MB
  40. 16. Application 6 Build a Webcam Motion Detector/2. Detecting Webcam Objects.mp463.8MB
  41. 16. Application 6 Build a Webcam Motion Detector/3. Capturing Motion Time.mp449.45MB
  42. 17. Interactive Data Visualization with Python/1. Introduction to Bokeh.mp43.89MB
  43. 17. Interactive Data Visualization with Python/14. Time-series Plots.mp415.43MB
  44. 17. Interactive Data Visualization with Python/15. More Visualization Examples with Bokeh.mp411.9MB
  45. 17. Interactive Data Visualization with Python/16. Plotting Time Intervals of the Motion Detector.mp428.74MB
  46. 17. Interactive Data Visualization with Python/17. Hover Tool Implementation.mp420.36MB
  47. 17. Interactive Data Visualization with Python/3. Your First Bokeh Plot.mp419.39MB
  48. 17. Interactive Data Visualization with Python/6. Using Bokeh with Pandas.mp410.43MB
  49. 18. Webscraping with Python Beautiful Soup/1. Section Introduction.mp43.19MB
  50. 18. Webscraping with Python Beautiful Soup/2. The Concept Behind Webscraping.mp410.17MB
  51. 18. Webscraping with Python Beautiful Soup/4. Webscraping Example.mp437.38MB
  52. 19. Application 7 Scrape Real Estate Property Data from the Web/1. Scraped Website Data - How The Output Will Look Like.mp46.95MB
  53. 19. Application 7 Scrape Real Estate Property Data from the Web/3. Loading the Webpage in Python.mp422.17MB
  54. 19. Application 7 Scrape Real Estate Property Data from the Web/4. Extracting div Tags.mp431.34MB
  55. 19. Application 7 Scrape Real Estate Property Data from the Web/5. Extracting Addresses and Property Details.mp437.06MB
  56. 19. Application 7 Scrape Real Estate Property Data from the Web/6. Extracting Elements without Unique Identifiers.mp432.16MB
  57. 19. Application 7 Scrape Real Estate Property Data from the Web/7. Saving the Extracted Data in CSV Files.mp421.98MB
  58. 19. Application 7 Scrape Real Estate Property Data from the Web/8. Crawling Through Webpages.mp458.8MB
  59. 2. Python Basics/1. Your Second Tiny Python Program.mp410.87MB
  60. 2. Python Basics/10. Built-in Functions.mp48.88MB
  61. 2. Python Basics/12. Lists.mp411.94MB
  62. 2. Python Basics/14. List Indexing and Slicing.mp49.01MB
  63. 2. Python Basics/2. Variables.mp48.68MB
  64. 2. Python Basics/21. List Methods.mp48.26MB
  65. 2. Python Basics/28. Dictionaries.mp44.1MB
  66. 2. Python Basics/3. Strings.mp44.23MB
  67. 2. Python Basics/31. User Input.mp411.51MB
  68. 2. Python Basics/32. Conditionals.mp417.15MB
  69. 2. Python Basics/33. Conditionals with Multiple Conditions.mp47.17MB
  70. 2. Python Basics/35. Custom Functions.mp46.68MB
  71. 2. Python Basics/36. Custom Functions Example.mp49.43MB
  72. 2. Python Basics/39. Custom Functions Return vs Print.mp411.66MB
  73. 2. Python Basics/4. Numbers.mp43.44MB
  74. 2. Python Basics/40. Custom Functions with Conditionals.mp49.05MB
  75. 2. Python Basics/44. Custom Functions with Multiple Parameters.mp45.17MB
  76. 2. Python Basics/47. Custom Functions with Default Parameters.mp42.63MB
  77. 2. Python Basics/55. Opening Files in Python.mp410.44MB
  78. 2. Python Basics/56. Working with File Paths.mp45.52MB
  79. 2. Python Basics/57. Processing File Content.mp410.04MB
  80. 2. Python Basics/60. For Loops.mp416.73MB
  81. 2. Python Basics/70. Writing Text to a File.mp410.79MB
  82. 2. Python Basics/71. Appending Text to a File.mp43.03MB
  83. 2. Python Basics/72. Reading and Appending Text to a File.mp45.43MB
  84. 20. Application 8 Build a Web-based Financial Graph/1. Web-based Financial Graph - How The Output Will Look Like.mp43.46MB
  85. 20. Application 8 Build a Web-based Financial Graph/10. Embedding the Bokeh Chart in a Webpage.mp436.77MB
  86. 20. Application 8 Build a Web-based Financial Graph/11. Deploying the Chart Website to a Live Server.mp425.31MB
  87. 20. Application 8 Build a Web-based Financial Graph/2. Downloading Datasets with Python.mp431.7MB
  88. 20. Application 8 Build a Web-based Financial Graph/3. Stock Market Data.mp46.88MB
  89. 20. Application 8 Build a Web-based Financial Graph/4. Stock Market Data Candlestick Charts.mp411.52MB
  90. 20. Application 8 Build a Web-based Financial Graph/5. Candlestick Charts with Bokeh Quadrants.mp422.26MB
  91. 20. Application 8 Build a Web-based Financial Graph/6. Candlestick Charts with Bokeh Rectangles.mp451.07MB
  92. 20. Application 8 Build a Web-based Financial Graph/7. Candlestick Segments.mp414.25MB
  93. 20. Application 8 Build a Web-based Financial Graph/8. Stylizing the Chart.mp447.54MB
  94. 20. Application 8 Build a Web-based Financial Graph/9. The Concept Behind Embedding Bokeh Charts in a Flask Webpage.mp438.03MB
  95. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/1. Data Collector Web App - How The Output Will Look Like.mp45.88MB
  96. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/10. Deploying the Web Application to a Live Server.mp474.96MB
  97. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/11. Bonus Lecture Implementing Download and Upload in your Web App.mp455.29MB
  98. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/2. PostGreSQL Database Web App with Flask Steps.mp410.19MB
  99. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/3. Frontend HTML Part.mp426.77MB
  100. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/4. Frontend CSS Part.mp420.9MB
  101. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/5. Backend Getting User Input.mp434.04MB
  102. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/6. Backend The PostGreSQL Database Model.mp440.8MB
  103. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/7. Backend Storing User Data to the Database.mp450.04MB
  104. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/8. Backend Emailing Database Values Back to the User.mp425.94MB
  105. 21. Application 9 Build a Data Collector Web App with PostGreSQL and Flask/9. Backend Sending Statistics to Users.mp440.18MB
  106. 22. Application 10 Student Project on Building a Geocoder Web Service/1. Student Project - How The Output Should Look Like.mp414.37MB
  107. 22. Application 10 Student Project on Building a Geocoder Web Service/2. Solution, Part 1.mp435.34MB
  108. 22. Application 10 Student Project on Building a Geocoder Web Service/3. Solution, Part 2.mp413.86MB
  109. 22. Application 10 Student Project on Building a Geocoder Web Service/4. End of the Course.mp45.08MB
  110. 24. Bonus Section Python Contests/2. Contest #1 Code Review.mp471.93MB
  111. 24. Bonus Section Python Contests/3. Contest #2 Code Review.mp439.73MB
  112. 3. Beyond the Basics/1. Section Introduction.mp42.79MB
  113. 3. Beyond the Basics/10. Looping Multiple Sequences.mp42.24MB
  114. 3. Beyond the Basics/11. The with Context Manager.mp44.29MB
  115. 3. Beyond the Basics/2. Setting Up.mp49.38MB
  116. 3. Beyond the Basics/3. While Loop.mp47.52MB
  117. 3. Beyond the Basics/4. While Loop with Password Checker.mp44.56MB
  118. 3. Beyond the Basics/5. String Formatting.mp45.7MB
  119. 3. Beyond the Basics/6. Modules, Libraries, and Packages.mp422.54MB
  120. 3. Beyond the Basics/8. Dates and Times.mp411.49MB
  121. 4. Fixing Programming Errors/1. Syntax Errors.mp414.11MB
  122. 4. Fixing Programming Errors/2. Runtime Errors.mp419.09MB
  123. 4. Fixing Programming Errors/4. How to Fix Difficult Errors.mp417.26MB
  124. 4. Fixing Programming Errors/5. Good Programming Questions.mp416.9MB
  125. 4. Fixing Programming Errors/6. Error Handling.mp414.21MB
  126. 5. Application 1 Build an Interactive English Dictionary/1. Interactive English Dictionary - How The Output Will Look Like.mp47.63MB
  127. 5. Application 1 Build an Interactive English Dictionary/10. Confirmation from the User.mp420.2MB
  128. 5. Application 1 Build an Interactive English Dictionary/11. Optimizing the Final Output.mp415.35MB
  129. 5. Application 1 Build an Interactive English Dictionary/2. The Data Source.mp411.72MB
  130. 5. Application 1 Build an Interactive English Dictionary/3. Loading JSON Data.mp423.7MB
  131. 5. Application 1 Build an Interactive English Dictionary/4. Returning the Definition of a Word.mp47.45MB
  132. 5. Application 1 Build an Interactive English Dictionary/5. Taking Into Account Bad Words.mp46.44MB
  133. 5. Application 1 Build an Interactive English Dictionary/6. Implementing Case Sensitivity.mp46.53MB
  134. 5. Application 1 Build an Interactive English Dictionary/7. Similarity Ratio Between Two Words.mp412.23MB
  135. 5. Application 1 Build an Interactive English Dictionary/8. Best Matches out of a List of Words.mp419.59MB
  136. 5. Application 1 Build an Interactive English Dictionary/9. Recommending the Best Match.mp418.65MB
  137. 6. Data Analysis with Pandas/1. What is Pandas.mp411.62MB
  138. 6. Data Analysis with Pandas/10. Loading TXT Files.mp431.62MB
  139. 6. Data Analysis with Pandas/11. Set Header Row.mp420.23MB
  140. 6. Data Analysis with Pandas/12. Set Column Names.mp48.08MB
  141. 6. Data Analysis with Pandas/13. Set Index Column.mp443.11MB
  142. 6. Data Analysis with Pandas/14. Indexing and Slicing.mp445.04MB
  143. 6. Data Analysis with Pandas/15. Deleting Columns and Rows.mp421.43MB
  144. 6. Data Analysis with Pandas/16. Updating and Adding new Columns and Rows.mp417.33MB
  145. 6. Data Analysis with Pandas/18. Example Geocoding Addresses with Pandas and Geopy.mp4162.24MB
  146. 6. Data Analysis with Pandas/3. Getting Started with Pandas.mp415.9MB
  147. 6. Data Analysis with Pandas/4. Getting Started with Jupyter Notebooks.mp426.76MB
  148. 6. Data Analysis with Pandas/5. Loading CSV Files.mp442.73MB
  149. 6. Data Analysis with Pandas/9. Loading Excel Files.mp410.9MB
  150. 7. Numpy/1. What is Numpy.mp414.16MB
  151. 7. Numpy/3. Convert Images to Numpy Arrays.mp411.76MB
  152. 7. Numpy/4. Indexing, Slicing, and Iterating Numpy Arrays.mp48.03MB
  153. 7. Numpy/5. Stacking and Splitting Numpy Arrays.mp411.92MB
  154. 8. Application 2 Create Webmaps with Python and Folium/1. Web Map - How The Output Will Look Like.mp43.84MB
  155. 8. Application 2 Create Webmaps with Python and Folium/11. Solution.mp44.3MB
  156. 8. Application 2 Create Webmaps with Python and Folium/12. GeoJson Data.mp428.34MB
  157. 8. Application 2 Create Webmaps with Python and Folium/13. Adding a GeoJson Polygon Layer.mp413.45MB
  158. 8. Application 2 Create Webmaps with Python and Folium/14. Choropleth Map.mp427.73MB
  159. 8. Application 2 Create Webmaps with Python and Folium/15. Layer Control Panel.mp417.28MB
  160. 8. Application 2 Create Webmaps with Python and Folium/2. The Basemap.mp434.64MB
  161. 8. Application 2 Create Webmaps with Python and Folium/3. Adding Points.mp420.52MB
  162. 8. Application 2 Create Webmaps with Python and Folium/4. Adding Multiple Points.mp49.57MB
  163. 8. Application 2 Create Webmaps with Python and Folium/5. Adding Points from Files.mp437.38MB
  164. 8. Application 2 Create Webmaps with Python and Folium/6. Popup Windows on Map.mp412.48MB
  165. 8. Application 2 Create Webmaps with Python and Folium/8. Color Points.mp420.46MB
  166. 9. Application 3 Build a Website Blocker/1. Website Blocker - How The Output Will Look Like.mp46.85MB
  167. 9. Application 3 Build a Website Blocker/2. Application Architecture.mp47.96MB
  168. 9. Application 3 Build a Website Blocker/3. Setting up the Script.mp418.17MB
  169. 9. Application 3 Build a Website Blocker/4. Setting up the Infinite Loop.mp419.73MB
  170. 9. Application 3 Build a Website Blocker/5. Implementing the First Part.mp426.33MB
  171. 9. Application 3 Build a Website Blocker/6. Implementing the Second Part.mp445.23MB
  172. 9. Application 3 Build a Website Blocker/8. Scheduling the Python Program on Windows.mp430.22MB
  173. 9. Application 3 Build a Website Blocker/9. Scheduling the Python Program on Mac and Linux.mp414.28MB
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