首页 磁力链接怎么用

[DesireCourse.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 2020-8-18 05:47 2024-12-20 13:33 202 6.67 GB 203
磁力链接
magnet:?xt=urn:btih:9d69666327c959c67371fea0844acf7b907c7244
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjlkNjk2NjYzMjdjOTU5YzY3MzcxZmVhMDg0NGFjZjdiOTA3YzcyNDRaWg==
二维码链接
[DesireCourse.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！
相关链接

DesireCourse Net Udemy - The Python Mega Course Build 10 Real World Applications

文件列表
  1. 1. Introduction/2. Course Introduction.mp445.53MB
  2. 1. Introduction/5. The Tools You Need.mp419.92MB
  3. 1. Introduction/6. Installing Python 3 and an IDE (Windows, Mac, and Linux).mp484.38MB
  4. 10. More on Functions/1. Functions with Multiple Arguments.mp416.08MB
  5. 10. More on Functions/4. Default and Non-default Parameters and Keyword and Non-keyword Arguments.mp428.99MB
  6. 10. More on Functions/5. Functions with an Arbitrary Number of Non-keyword Arguments.mp438.14MB
  7. 10. More on Functions/8. Functions with an Arbitrary Number of Keyword Arguments.mp415.51MB
  8. 11. File Processing/1. The Concept of Processing Files in Python.mp418.19MB
  9. 11. File Processing/13. Appending Text to an Existing File.mp429.32MB
  10. 11. File Processing/2. Reading Text From a File.mp415.16MB
  11. 11. File Processing/4. File Cursor.mp410.17MB
  12. 11. File Processing/5. Closing a File.mp48.17MB
  13. 11. File Processing/6. Opening Files Using with.mp411.23MB
  14. 11. File Processing/7. Different Filepaths.mp48.32MB
  15. 11. File Processing/8. Writing Text to a File.mp432.69MB
  16. 12. Imported Modules/1. Builtin Modules.mp464.11MB
  17. 12. Imported Modules/2. Standard Python Modules.mp4107.96MB
  18. 12. Imported Modules/3. Third-Party Modules.mp470.25MB
  19. 12. Imported Modules/4. Third-Party Module Example.mp432.31MB
  20. 13. Application 1 English Thesaurus/10. Recommending the Best Match.mp418.66MB
  21. 13. Application 1 English Thesaurus/11. Confirmation from the User.mp420.19MB
  22. 13. Application 1 English Thesaurus/12. Optimizing the Final Output.mp415.35MB
  23. 13. Application 1 English Thesaurus/2. Interactive English Dictionary - How The Output Will Look Like.mp47.62MB
  24. 13. Application 1 English Thesaurus/3. The Data Source.mp411.71MB
  25. 13. Application 1 English Thesaurus/4. Loading JSON Data.mp423.69MB
  26. 13. Application 1 English Thesaurus/5. Returning the Definition of a Word.mp47.44MB
  27. 13. Application 1 English Thesaurus/6. Taking Into Account Bad Words.mp46.44MB
  28. 13. Application 1 English Thesaurus/7. Implementing Case Sensitivity.mp46.54MB
  29. 13. Application 1 English Thesaurus/8. Similarity Ratio Between Two Words.mp412.23MB
  30. 13. Application 1 English Thesaurus/9. Best Matches out of a List of Words.mp419.59MB
  31. 14. Project Exercise with Python and MySQL Interactive English Dictionary/1. Intro to the App.mp412.56MB
  32. 14. Project Exercise with Python and MySQL Interactive English Dictionary/2. Making the App.mp453.52MB
  33. 15. Data Analysis with Pandas/1. What is Pandas.mp411.62MB
  34. 15. Data Analysis with Pandas/10. Loading TXT Files.mp431.62MB
  35. 15. Data Analysis with Pandas/11. Set Header Row.mp420.23MB
  36. 15. Data Analysis with Pandas/12. Set Column Names.mp48.07MB
  37. 15. Data Analysis with Pandas/13. Set Index Column.mp443.11MB
  38. 15. Data Analysis with Pandas/14. Indexing and Slicing.mp445.04MB
  39. 15. Data Analysis with Pandas/15. Deleting Columns and Rows.mp421.43MB
  40. 15. Data Analysis with Pandas/16. Updating and Adding new Columns and Rows.mp417.32MB
  41. 15. Data Analysis with Pandas/18. Example Geocoding Addresses with Pandas and Geopy.mp4162.24MB
  42. 15. Data Analysis with Pandas/3. Getting Started with Pandas.mp415.91MB
  43. 15. Data Analysis with Pandas/4. Getting Started with Jupyter Notebooks.mp426.76MB
  44. 15. Data Analysis with Pandas/5. Loading CSV Files.mp442.73MB
  45. 15. Data Analysis with Pandas/9. Loading Excel Files.mp412.04MB
  46. 16. Numpy - Numerical and Scientific Computing with Python/1. What is Numpy.mp414.17MB
  47. 16. Numpy - Numerical and Scientific Computing with Python/3. Convert Images to Numpy Arrays.mp411.76MB
  48. 16. Numpy - Numerical and Scientific Computing with Python/4. Indexing, Slicing, and Iterating Numpy Arrays.mp48.03MB
  49. 16. Numpy - Numerical and Scientific Computing with Python/5. Stacking and Splitting Numpy Arrays.mp411.93MB
  50. 17. Application 2 Volcano & Population Web Map/1. Web Map - How The Output Will Look Like.mp43.83MB
  51. 17. Application 2 Volcano & Population Web Map/12. Solution.mp44.3MB
  52. 17. Application 2 Volcano & Population Web Map/13. GeoJson Data.mp428.34MB
  53. 17. Application 2 Volcano & Population Web Map/14. Adding a GeoJson Polygon Layer.mp413.45MB
  54. 17. Application 2 Volcano & Population Web Map/15. Choropleth Map.mp427.73MB
  55. 17. Application 2 Volcano & Population Web Map/16. Layer Control Panel.mp417.28MB
  56. 17. Application 2 Volcano & Population Web Map/2. The Basemap.mp434.64MB
  57. 17. Application 2 Volcano & Population Web Map/4. Adding Points.mp474.07MB
  58. 17. Application 2 Volcano & Population Web Map/5. Adding Multiple Points.mp49.58MB
  59. 17. Application 2 Volcano & Population Web Map/6. Adding Points from Files.mp437.38MB
  60. 17. Application 2 Volcano & Population Web Map/7. Popup Windows on Map.mp434.78MB
  61. 17. Application 2 Volcano & Population Web Map/9. Color Points.mp420.45MB
  62. 18. Fixing Programming Errors/1. Syntax Errors.mp414.11MB
  63. 18. Fixing Programming Errors/2. Runtime Errors.mp419.09MB
  64. 18. Fixing Programming Errors/4. How to Fix Difficult Errors.mp417.26MB
  65. 18. Fixing Programming Errors/5. Good Programming Questions.mp416.9MB
  66. 18. Fixing Programming Errors/6. Error Handling.mp414.21MB
  67. 19. Application 3 Personal Website with Python/1. Personal Website - How The Output Will Look Like.mp42.71MB
  68. 19. Application 3 Personal Website with Python/10. Maintaining the Live Website.mp415.58MB
  69. 19. Application 3 Personal Website with Python/2. Your First Website.mp452.38MB
  70. 19. Application 3 Personal Website with Python/3. HTML Templates.mp48.06MB
  71. 19. Application 3 Personal Website with Python/4. Navigation Menu.mp417.34MB
  72. 19. Application 3 Personal Website with Python/6. CSS Styling.mp412.71MB
  73. 19. Application 3 Personal Website with Python/7. Creating a Python Virtual Environment.mp413.21MB
  74. 19. Application 3 Personal Website with Python/9. Deploying the Website to a Live Server.mp456.78MB
  75. 2. The Basics Small Program/1. Your First Python Code.mp420.71MB
  76. 2. The Basics Small Program/2. Your First Python Program.mp480.05MB
  77. 20. Graphical User Interfaces with Tkinter/1. Introduction to Tkinter.mp44.46MB
  78. 20. Graphical User Interfaces with Tkinter/2. Setting up a GUI with Widgets.mp416.22MB
  79. 20. Graphical User Interfaces with Tkinter/3. Connecting GUI Widgets with Callback Functions.mp417MB
  80. 21. Interacting with Databases/1. Introduction to Python with Databases.mp45MB
  81. 21. Interacting with Databases/2. Connecting and Inserting Data to SQLite via Python.mp423.94MB
  82. 21. Interacting with Databases/3. Selecting, Inserting, Deleting, and Updating SQLite Records.mp413.52MB
  83. 21. Interacting with Databases/4. Introduction to PostgreSQL Psycopg2.mp420.36MB
  84. 21. Interacting with Databases/5. Selecting, Inserting, Deleting, and Updating PostgreSQL Records.mp427.67MB
  85. 22. Application 4 Bookshop Database App/1. Desktop Database App - How The Output Will Look Like.mp44.33MB
  86. 22. Application 4 Bookshop Database App/2. User Interface Design.mp49.76MB
  87. 22. Application 4 Bookshop Database App/3. Frontend Interface.mp426.19MB
  88. 22. Application 4 Bookshop Database App/4. Backend.mp446.7MB
  89. 22. Application 4 Bookshop Database App/5. Connecting the Frontend to the Backend, Part 1.mp437.35MB
  90. 22. Application 4 Bookshop Database App/6. Connecting the Frontend to the Backend, Part 2.mp449.09MB
  91. 22. Application 4 Bookshop Database App/9. Creating a Standalone Executable Version of the Program.mp410.81MB
  92. 23. Object Oriented Programming/1. Object Oriented Programming Explained.mp49.81MB
  93. 23. Object Oriented Programming/2. Turning this Application into OOP Style, Part 1.mp430.7MB
  94. 23. Object Oriented Programming/3. Turning this Application into OOP Style, Part 2.mp434.26MB
  95. 23. Object Oriented Programming/4. Creating a Bank Account Object.mp439.21MB
  96. 23. Object Oriented Programming/5. Inheritance.mp422.47MB
  97. 23. Object Oriented Programming/6. OOP Glossary.mp416.36MB
  98. 24. Application 5 Feel-Good Mobile App/1. Mobile App - How the Output Will Look Like.mp431.68MB
  99. 24. Application 5 Feel-Good Mobile App/10. Displaying Text to the User.mp4176.28MB
  100. 24. Application 5 Feel-Good Mobile App/11. Styiling the Login Page.mp4177.28MB
  101. 24. Application 5 Feel-Good Mobile App/12. Styling the Sign Up Page.mp415.05MB
  102. 24. Application 5 Feel-Good Mobile App/13. Making a Dynamic Hover Button.mp4101.48MB
  103. 24. Application 5 Feel-Good Mobile App/14. Making a Scrollable Area.mp465.13MB
  104. 24. Application 5 Feel-Good Mobile App/3. Creating a Login Page (Frontend).mp491.17MB
  105. 24. Application 5 Feel-Good Mobile App/4. Creating a Sign Up Page (Frontend) for New Users.mp480.17MB
  106. 24. Application 5 Feel-Good Mobile App/5. Getting User Input.mp453.65MB
  107. 24. Application 5 Feel-Good Mobile App/6. Implementing the Sign Up Page (Backend).mp4133.63MB
  108. 24. Application 5 Feel-Good Mobile App/7. Creating a Sign Up Success Page (Frontend).mp454.58MB
  109. 24. Application 5 Feel-Good Mobile App/8. Switching Pages.mp436.17MB
  110. 24. Application 5 Feel-Good Mobile App/9. Implementing the Login Page (Backend).mp4183.92MB
  111. 25. Making an APK for Android/2. Preparing the Environment for Deploying the App to and Android Phone.mp488.67MB
  112. 25. Making an APK for Android/3. Creating an APK file for Android.mp486.36MB
  113. 25. Making an APK for Android/4. Installing the APK file on Android.mp459.77MB
  114. 26. Python for Image and Video Processing with OpenCV/1. Introduction.mp44.04MB
  115. 26. Python for Image and Video Processing with OpenCV/3. Loading, Displaying, Resizing, and Writing Images.mp430.96MB
  116. 26. Python for Image and Video Processing with OpenCV/6. Solution with Explanations.mp48.15MB
  117. 26. Python for Image and Video Processing with OpenCV/7. Face Detection.mp440.6MB
  118. 26. Python for Image and Video Processing with OpenCV/8. Capturing Video.mp436.15MB
  119. 27. Application 6 Build a Webcam Motion Detector/1. Webcam Motion Detector - How The Output Will Look Like.mp45.54MB
  120. 27. Application 6 Build a Webcam Motion Detector/2. Detecting Webcam Objects.mp4252.15MB
  121. 27. Application 6 Build a Webcam Motion Detector/3. Capturing Motion Time.mp449.45MB
  122. 28. Interactive Data Visualization with Bokeh/1. Introduction to Bokeh.mp43.89MB
  123. 28. Interactive Data Visualization with Bokeh/14. Time-series Plots.mp415.43MB
  124. 28. Interactive Data Visualization with Bokeh/15. More Visualization Examples with Bokeh.mp411.9MB
  125. 28. Interactive Data Visualization with Bokeh/16. Plotting Time Intervals of the Motion Detector.mp428.74MB
  126. 28. Interactive Data Visualization with Bokeh/17. Hover Tool Implementation.mp420.37MB
  127. 28. Interactive Data Visualization with Bokeh/3. Your First Bokeh Plot.mp419.38MB
  128. 28. Interactive Data Visualization with Bokeh/6. Using Bokeh with Pandas.mp410.43MB
  129. 29. Webscraping with Python Beautiful Soup/1. Section Introduction.mp43.2MB
  130. 29. Webscraping with Python Beautiful Soup/2. The Concept Behind Webscraping.mp410.17MB
  131. 29. Webscraping with Python Beautiful Soup/4. Webscraping Example.mp437.38MB
  132. 3. The Basics Data Types/1. Variables.mp416.97MB
  133. 3. The Basics Data Types/11. Type Attributes.mp422.89MB
  134. 3. The Basics Data Types/13. How to Find Out What Code You Need.mp449.78MB
  135. 3. The Basics Data Types/14. Bonus Steps of Learning Python.mp412.84MB
  136. 3. The Basics Data Types/18. Dictionary Types.mp435.04MB
  137. 3. The Basics Data Types/21. Tuple Types.mp421.06MB
  138. 3. The Basics Data Types/24. How to Use Datatypes in the Real World.mp411.42MB
  139. 3. The Basics Data Types/4. Simple Types Integers, Strings, and Floats.mp415.79MB
  140. 3. The Basics Data Types/7. List Types.mp45.63MB
  141. 30. Application 7 Real Estate Webscraper/1. Scraped Website Data - How The Output Will Look Like.mp46.94MB
  142. 30. Application 7 Real Estate Webscraper/3. Loading the Webpage in Python.mp422.17MB
  143. 30. Application 7 Real Estate Webscraper/4. Extracting div Tags.mp431.35MB
  144. 30. Application 7 Real Estate Webscraper/5. Extracting Addresses and Property Details.mp437.07MB
  145. 30. Application 7 Real Estate Webscraper/6. Extracting Elements without Unique Identifiers.mp432.17MB
  146. 30. Application 7 Real Estate Webscraper/7. Saving the Extracted Data in CSV Files.mp421.97MB
  147. 30. Application 7 Real Estate Webscraper/8. Crawling Through Webpages.mp458.8MB
  148. 31. Application 8 Interactive Data Dashboard/1. Web-based Financial Graph - How The Output Will Look Like.mp43.46MB
  149. 31. Application 8 Interactive Data Dashboard/11. Embedding the Bokeh Chart in a Webpage.mp436.76MB
  150. 31. Application 8 Interactive Data Dashboard/12. Deploying the Chart Website to a Live Server.mp425.3MB
  151. 31. Application 8 Interactive Data Dashboard/2. Downloading Datasets with Python.mp431.7MB
  152. 31. Application 8 Interactive Data Dashboard/3. Stock Market Data.mp46.88MB
  153. 31. Application 8 Interactive Data Dashboard/4. Stock Market Data Candlestick Charts.mp411.51MB
  154. 31. Application 8 Interactive Data Dashboard/5. Candlestick Charts with Bokeh Quadrants.mp422.26MB
  155. 31. Application 8 Interactive Data Dashboard/6. Candlestick Charts with Bokeh Rectangles.mp451.07MB
  156. 31. Application 8 Interactive Data Dashboard/7. Candlestick Segments.mp414.25MB
  157. 31. Application 8 Interactive Data Dashboard/8. Stylizing the Chart.mp447.54MB
  158. 31. Application 8 Interactive Data Dashboard/9. The Concept Behind Embedding Bokeh Charts in a Flask Webpage.mp438.02MB
  159. 32. Application 9 Database Web App/1. Data Collector Web App - How The Output Will Look Like.mp417.54MB
  160. 32. Application 9 Database Web App/10. Deploying the Web Application to a Live Server.mp4194.97MB
  161. 32. Application 9 Database Web App/11. Bonus Lecture Implementing Download and Upload in your Web App.mp455.3MB
  162. 32. Application 9 Database Web App/2. PostGreSQL Database Web App with Flask Steps.mp410.2MB
  163. 32. Application 9 Database Web App/3. Frontend HTML Part.mp426.76MB
  164. 32. Application 9 Database Web App/4. Frontend CSS Part.mp420.89MB
  165. 32. Application 9 Database Web App/5. Backend Getting User Input.mp434.04MB
  166. 32. Application 9 Database Web App/6. Backend The PostGreSQL Database Model.mp440.79MB
  167. 32. Application 9 Database Web App/7. Backend Storing User Data to the Database.mp450.04MB
  168. 32. Application 9 Database Web App/8. Backend Emailing Database Values Back to the User.mp484.59MB
  169. 32. Application 9 Database Web App/9. Backend Sending Statistics to Users.mp4132.41MB
  170. 33. Application 10 (Project) Geocoder Web App/1. Student Project - How The Output Should Look Like.mp414.36MB
  171. 33. Application 10 (Project) Geocoder Web App/2. Solution, Part 1.mp435.34MB
  172. 33. Application 10 (Project) Geocoder Web App/3. Solution, Part 2.mp413.85MB
  173. 4. The Basics Operations with Data Types/1. Python Shell and Terminal Tip.mp47.78MB
  174. 4. The Basics Operations with Data Types/11. Accessing List Slices.mp430.92MB
  175. 4. The Basics Operations with Data Types/12. Accessing Items and Slices with Negative Indexes.mp424.52MB
  176. 4. The Basics Operations with Data Types/13. Accessing Characters and Slices in Strings.mp413.17MB
  177. 4. The Basics Operations with Data Types/19. Accessing Items in Dictionaries.mp416.81MB
  178. 4. The Basics Operations with Data Types/3. More Operations with Lists.mp457.23MB
  179. 4. The Basics Operations with Data Types/7. Accessing List Items.mp421.51MB
  180. 5. The Basics Functions and Conditionals/1. Creating Your Own Functions.mp466.45MB
  181. 5. The Basics Functions and Conditionals/11. More on Conditionals.mp425.5MB
  182. 5. The Basics Functions and Conditionals/14. Elif Conditionals.mp411.84MB
  183. 5. The Basics Functions and Conditionals/15. White Space.mp434.75MB
  184. 5. The Basics Functions and Conditionals/5. Print or Return.mp449.35MB
  185. 5. The Basics Functions and Conditionals/6. Intro to Conditionals.mp49.75MB
  186. 5. The Basics Functions and Conditionals/7. If Conditional Example.mp442.52MB
  187. 5. The Basics Functions and Conditionals/9. Conditional Explained Line by Line.mp432.81MB
  188. 6. The Basics Processing User Input/1. User Input.mp487.17MB
  189. 6. The Basics Processing User Input/2. String Formatting.mp423.33MB
  190. 6. The Basics Processing User Input/3. String Formatting with Multiple Variables.mp426.69MB
  191. 7. The Basics Loops/1. For Loops How and Why.mp462.77MB
  192. 7. The Basics Loops/12. While Loops How and Why.mp428.41MB
  193. 7. The Basics Loops/13. While Loop Example with User Input.mp433.08MB
  194. 7. The Basics Loops/15. While Loops with Break and Continue.mp418.95MB
  195. 7. The Basics Loops/8. Looping Through a Dictionary.mp412.4MB
  196. 8. Putting the Pieces Together Building a Program/1. Problem Statement.mp415.1MB
  197. 8. Putting the Pieces Together Building a Program/2. Approaching the Problem.mp48.51MB
  198. 8. Putting the Pieces Together Building a Program/3. Building the Maker Function.mp428.41MB
  199. 8. Putting the Pieces Together Building a Program/4. Constructing the Loop.mp428.44MB
  200. 8. Putting the Pieces Together Building a Program/5. Making the Output User-Friendly.mp426.29MB
  201. 9. List Comprehensions/1. Simple List Comprehension.mp416.37MB
  202. 9. List Comprehensions/2. List Comprehension with If Conditional.mp46.14MB
  203. 9. List Comprehensions/5. List Comprehension with If-Else Conditional.mp49.77MB
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
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA