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[@csalgo] Python for Developers Master Course

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视频 2021-8-19 04:00 2024-12-16 05:51 152 4.92 GB 186
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csalgo Python for Developers Master Course

文件列表
  1. 1.Python Installation/1.Python 3 Installation [Windows].m4v8MB
  2. 1.Python Installation/2.Virtual Environments in Python.m4v19.84MB
  3. 11.Object oriented Programming/1.Python Class 01.m4v22.99MB
  4. 11.Object oriented Programming/2.Python Class 02.m4v28.67MB
  5. 11.Object oriented Programming/3.Python Class 03.m4v26.7MB
  6. 11.Object oriented Programming/4.Python Class 04.m4v13.73MB
  7. 11.Object oriented Programming/5.Python Class 05.m4v14.2MB
  8. 11.Object oriented Programming/6.Python Class 06.m4v16.66MB
  9. 12.Modules in Python/1.Python Modules 1..m4v28.53MB
  10. 12.Modules in Python/2.Python Modules 2..m4v22.99MB
  11. 12.Modules in Python/3.Python Modules 3..m4v30.69MB
  12. 13.File Handling/1.Python - File Handling..m4v28.55MB
  13. 13.File Handling/2.Python - Working with JSON..m4v18.71MB
  14. 14.Error Handling/1.Python - Error Handling 1..m4v13.34MB
  15. 14.Error Handling/2.Python - Error Handling 2..m4v10.68MB
  16. 14.Error Handling/3.Python - Error Handling 3..m4v11.91MB
  17. 14.Error Handling/4.Python - Error Handling 4..m4v24.47MB
  18. 15.Intermediate Python/1.Python - Iteration Protocol..m4v21.55MB
  19. 15.Intermediate Python/2.Iterators in Python..m4v15.48MB
  20. 15.Intermediate Python/3.Generators in Python..m4v17.65MB
  21. 16.Parallel Programming in Python/1.Async Programming Python - 1.m4v27.6MB
  22. 16.Parallel Programming in Python/2.Async Programming Python - 2.m4v20.04MB
  23. 16.Parallel Programming in Python/3.Async Programming Python - 3.m4v25.33MB
  24. 16.Parallel Programming in Python/4.Python - Coroutines in Python.m4v16.7MB
  25. 16.Parallel Programming in Python/5.Python - AsyncIO 1.m4v46.53MB
  26. 16.Parallel Programming in Python/6.Python - AsyncIO 2.m4v32.86MB
  27. 17.Python for Web/1.Python Requests library.m4v30.42MB
  28. 17.Python for Web/2.Python Requests library - II.m4v16.97MB
  29. 17.Python for Web/3.Web Scraping - Image Scrapping -1.m4v17.29MB
  30. 17.Python for Web/4.Web Scraping - Scraping Images II.m4v15.12MB
  31. 18.Python for Data Science/2.Quickstart Python.m4v29.85MB
  32. 18.Python for Data Science/3.Quickstart Numpy.m4v15.68MB
  33. 18.Python for Data Science/4.Quickstart - Data Visualization.m4v10.7MB
  34. 18.Python for Data Science/5.Quickstart - OpenCV.m4v17.39MB
  35. 18.Python for Data Science/6.Quickstart - Pandas.m4v20.71MB
  36. 19.Numpy/1.Python - NumPy Basics.m4v35.22MB
  37. 19.Numpy/2.Python - Random Generators NumPy.m4v10.23MB
  38. 19.Numpy/3.Python - Statistical Computation using Numpy.m4v14.86MB
  39. 19.Numpy/4.ML Interview Question - Std Deviation in a Running Stream.m4v10.58MB
  40. 2.Getting Started with Python/1.Getting Started I.m4v12.18MB
  41. 2.Getting Started with Python/2.Getting Started II.m4v12.22MB
  42. 20.Pandas/1.Pandas Basics - 1.m4v10.51MB
  43. 20.Pandas/2.Pandas Basics - 2.m4v18.4MB
  44. 20.Pandas/3.Pandas - MNIST Dataset.m4v40.19MB
  45. 20.Pandas/4.Pandas - Movie Dataset.m4v18.54MB
  46. 21.Data Visualisation/1.DV 01 - Line Plots.m4v18.21MB
  47. 21.Data Visualisation/10.Data Visualisation - Multivariate Normal Gaussian Distribution Using Numpy.m4v13.94MB
  48. 21.Data Visualisation/11.Data Preprocessing - Normalisation Standardisation.m4v11.11MB
  49. 21.Data Visualisation/2.DV 02 - Scatter Plots.m4v9.28MB
  50. 21.Data Visualisation/3.DV 03 - Bar Graphs.m4v16.25MB
  51. 21.Data Visualisation/4.DV 04 - Pie Charts.m4v12.21MB
  52. 21.Data Visualisation/5.DV 05 - Normal Distribution.m4v16.68MB
  53. 21.Data Visualisation/6.DV 06 - Histograms.m4v8.27MB
  54. 21.Data Visualisation/7.DV 07 - Movie Data Visualization.m4v21.81MB
  55. 21.Data Visualisation/8.Data Visualisation - Normal Distribution - II.m4v12.45MB
  56. 21.Data Visualisation/9.Multivariate Normal Gaussian Distribution Function.m4v22.97MB
  57. 22.Seaborn/1.Seaborn 1.m4v27.96MB
  58. 22.Seaborn/2.Seaborn 2.m4v21.24MB
  59. 22.Seaborn/3.Seaborn 3.m4v23.03MB
  60. 23.OpenCV/1.OpenCV - Working with Images I.m4v9.53MB
  61. 23.OpenCV/2.OpenCV - Working with Images II.m4v9.82MB
  62. 23.OpenCV/3.OpenCV - Working with Video Stream from WebCam.m4v9.42MB
  63. 23.OpenCV/4.OpenCV - Face Detection using HaarCascades.m4v20.67MB
  64. 24.Project 01 - Face Recognition/1.K-Nearest Neigbours Introduction.m4v5.62MB
  65. 24.Project 01 - Face Recognition/2.K-Nearest Neighbours Implementation.m4v25.44MB
  66. 24.Project 01 - Face Recognition/3.Face Recognition Project - Generating Selfie Training Data using WebCam.m4v39.51MB
  67. 24.Project 01 - Face Recognition/4.Face Recognition - Building Face Classsifier.m4v42.41MB
  68. 24.Project 01 - Face Recognition/5.Face Recognition - Testing our Classifier.m4v4.69MB
  69. 26.Project 02 - Movie Recommendation System/1.Movie Recommendation - 1.m4v11.29MB
  70. 26.Project 02 - Movie Recommendation System/2.Movie Recommendation - 2.m4v19.95MB
  71. 26.Project 02 - Movie Recommendation System/3.Movie Recommendation - 3.m4v28.11MB
  72. 26.Project 02 - Movie Recommendation System/4.Movie Recommendation - 4.m4v42.75MB
  73. 27.Data Acquisition - BeautifulSoup/1.Web Scraping 01 - Fetching Data.m4v19.34MB
  74. 27.Data Acquisition - BeautifulSoup/2.Web Scraping 02 - Using Beautiful Soup.m4v17.13MB
  75. 27.Data Acquisition - BeautifulSoup/3.Web Scraping 03 - Parsing HTML Tables.m4v15.24MB
  76. 27.Data Acquisition - BeautifulSoup/4.Web Scraping 04 - Creating CSV.m4v4.84MB
  77. 27.Data Acquisition - BeautifulSoup/5.Web Scraping 05 - Cleaning Data.m4v19.83MB
  78. 27.Data Acquisition - BeautifulSoup/6.Web Scraping 06 - Scraping Local Files.m4v2.74MB
  79. 28.Data Acquisition - Using Web APIs/1.Web APIs 01 - OpenWeatherMap API..m4v13.12MB
  80. 28.Data Acquisition - Using Web APIs/2.Web API's 02 - Using Facebook API..m4v10.8MB
  81. 28.Data Acquisition - Using Web APIs/3.Web API's 03 - Goolge API Authentication..m4v9.59MB
  82. 28.Data Acquisition - Using Web APIs/4.Web Scraping - Image Scrapping -1..m4v17.29MB
  83. 28.Data Acquisition - Using Web APIs/5.Web Scraping - Scraping Images II..m4v15.12MB
  84. 3.Getting Started with Jupyter Notebook/1.Working with Jupyter Notebooks.m4v13.51MB
  85. 3.Getting Started with Jupyter Notebook/2.Set up Jupyter-Themes.m4v6.65MB
  86. 30.Data Acquisition - Web Crawler using Scrapy/1.Scrapy - Getting Started.m4v6.66MB
  87. 30.Data Acquisition - Web Crawler using Scrapy/3.Scrapy - Creating our first Spider.m4v12.83MB
  88. 30.Data Acquisition - Web Crawler using Scrapy/4.Scrapy - Using Shell & Selectors.m4v26.69MB
  89. 30.Data Acquisition - Web Crawler using Scrapy/5.Scrapy - Parsing response as JSON.m4v9.41MB
  90. 30.Data Acquisition - Web Crawler using Scrapy/6.Scrapy - Recursive Crawler.m4v29.12MB
  91. 31.🚀 Challenge - Scrape a Shopping Website/2.Scrape PepperFry Challenge.m4v9.16MB
  92. 31.🚀 Challenge - Scrape a Shopping Website/3.Scrape PepperFry Hint Video.m4v16.39MB
  93. 32.Project 03 - Automating Codechef Submissions/1.Web Automation with Selenium.m4v46.29MB
  94. 33.Project 04 - Creating a Telegram Bot/1.Registering a Telegram Bot.m4v10.81MB
  95. 33.Project 04 - Creating a Telegram Bot/2.Creating an Echo Bot.m4v52.77MB
  96. 33.Project 04 - Creating a Telegram Bot/3.Setting Up Webhook for Telegram Bot.m4v39.03MB
  97. 33.Project 04 - Creating a Telegram Bot/4.Introduction to Dialogflow.m4v40.9MB
  98. 33.Project 04 - Creating a Telegram Bot/5.Making a Conversational Bot.m4v45.83MB
  99. 33.Project 04 - Creating a Telegram Bot/6.Setting up Custom Keyboard for Telegram Bot.m4v19.19MB
  100. 33.Project 04 - Creating a Telegram Bot/7.Deploying Flask App for Telegram Bot on Heroku.m4v32.12MB
  101. 34.Getting started with Machine Learning/1.Linear Regression.m4v29.65MB
  102. 34.Getting started with Machine Learning/2.Gradient Descent Implementation.m4v15.1MB
  103. 34.Getting started with Machine Learning/3.Gradient Descent Algorithm.m4v15.39MB
  104. 34.Getting started with Machine Learning/4.Gradient Descent Update Rule for Regression.m4v13.63MB
  105. 34.Getting started with Machine Learning/5.Linear Regression - Data Preparation.m4v12.26MB
  106. 34.Getting started with Machine Learning/6.Linear Regression - Implementing Gradient Descent.m4v19.7MB
  107. 34.Getting started with Machine Learning/7.Linear Regression - Making Predictions & Submitting Online Challenge.m4v12.47MB
  108. 34.Getting started with Machine Learning/8.Linear Regression Code - Scoring.m4v7.91MB
  109. 36.Flask and Web Deployment/1.Flask Basics.m4v21.59MB
  110. 36.Flask and Web Deployment/2.Flask Templates.m4v20.84MB
  111. 36.Flask and Web Deployment/3.Taking Inputs from Users in Flask.m4v27.65MB
  112. 36.Flask and Web Deployment/4.ML model with Flask.m4v26.98MB
  113. 36.Flask and Web Deployment/5.Heroku Deployment.m4v32.48MB
  114. 37.ML Kit [Conference]/1.ML Kit - Machine Learning for Mobile Apps..m4v67.6MB
  115. 38.Basics of GitGithub/1.Introduction to Git and Github.m4v41.51MB
  116. 38.Basics of GitGithub/2.Making a Repository on Github.m4v27.89MB
  117. 38.Basics of GitGithub/3.Cloning a Repository from Github.m4v15.49MB
  118. 4.Python Basics/1.Python Basics.m4v19MB
  119. 4.Python Basics/2.Python - Variables And Arithmetic Operators.m4v9.4MB
  120. 40.MVC Architecture/1.Introduction to MVC.m4v10.4MB
  121. 41.Django Basics/1.Virtual Environments in Python.m4v19.84MB
  122. 41.Django Basics/2.Django - Project Setup.m4v38.7MB
  123. 41.Django Basics/3.Django - Hello World Application.m4v38.85MB
  124. 41.Django Basics/4.Django - Getting started with Templates.m4v27.13MB
  125. 41.Django Basics/5.Django - Getting started with Templates.m4v44.71MB
  126. 41.Django Basics/6.Django - Handling static files.m4v61.75MB
  127. 42.Project - 5 Portfolio Website/1.Django - Portfolio Project 1.m4v27.82MB
  128. 42.Project - 5 Portfolio Website/2.Django - Portfolio Project 2.m4v74.71MB
  129. 42.Project - 5 Portfolio Website/3.Django - Portfolio Project 3.m4v28.3MB
  130. 43.Introduction to Models in Django/1.Django - Models Getting Started.m4v28.85MB
  131. 43.Introduction to Models in Django/2.Django - Different Fields in Model.m4v25.33MB
  132. 43.Introduction to Models in Django/3.Django - Validators in Models.m4v28.85MB
  133. 43.Introduction to Models in Django/4.Django - Model Relationship 1.m4v25.23MB
  134. 43.Introduction to Models in Django/5.Django - Model Relationship 2.m4v35.62MB
  135. 44.Project - 6 Blog Application/1.Django - Blog 1.m4v38.47MB
  136. 44.Project - 6 Blog Application/2.Django - Blog 2.m4v45.1MB
  137. 44.Project - 6 Blog Application/3.Django - Blog 3.m4v40.56MB
  138. 45.Forms in Django/1.Django - Forms 1.m4v31.21MB
  139. 45.Forms in Django/2.Django - Forms 2.m4v45.19MB
  140. 46.Generic Views/1.Django - Generic View 1.m4v20.12MB
  141. 46.Generic Views/2.Django - Generic View 2.m4v31.73MB
  142. 46.Generic Views/3.Django - Generic View 3.m4v33.2MB
  143. 47.Authentication in Django/1.Authentication 1..m4v37.19MB
  144. 47.Authentication in Django/2.Authentication 2..m4v9.16MB
  145. 47.Authentication in Django/3.Authentication 3..m4v13.54MB
  146. 48.Project - 7 Polling Application/1.Poller 1.m4v26.1MB
  147. 48.Project - 7 Polling Application/2.Poller 2.m4v25.35MB
  148. 48.Project - 7 Polling Application/3.Poller 3.m4v25.43MB
  149. 48.Project - 7 Polling Application/4.Poller 4.m4v30.41MB
  150. 48.Project - 7 Polling Application/5.Poller 5.m4v15.88MB
  151. 48.Project - 7 Polling Application/6.Poller 6.m4v18.57MB
  152. 49.Introduction to REST API/1.Django - Rest Framework 1..m4v21.31MB
  153. 49.Introduction to REST API/2.Django - Rest Framework 2..m4v25.7MB
  154. 49.Introduction to REST API/3.Django - Rest Framework 3..m4v20.69MB
  155. 49.Introduction to REST API/4.Django - Rest Framework 4..m4v7.21MB
  156. 49.Introduction to REST API/5.Django - Rest Framework 5..m4v26.2MB
  157. 49.Introduction to REST API/6.Django - Rest Framework 6..m4v27.78MB
  158. 5.Python Control Flow/1.Control Flow I.m4v20.09MB
  159. 5.Python Control Flow/2.Control Flow II.m4v10.79MB
  160. 50.Project - 8 Student Management API/1.Student API 1..m4v32.94MB
  161. 50.Project - 8 Student Management API/2.Student API 2..m4v30.7MB
  162. 51.Project - 9 EMOJIFIER/1.Emojifier Web Integration - 1..m4v30.52MB
  163. 51.Project - 9 EMOJIFIER/2.Emojifier Web Integration - 2..m4v35.32MB
  164. 52.Deploying your application/1.Django Deployment 01.m4v28.12MB
  165. 52.Deploying your application/2.Django Deployment 02.m4v46.96MB
  166. 52.Deploying your application/3.Django Deployment 03.m4v12.7MB
  167. 53.Capstone Project - Social Media App/1.Building Social Media App - 1.m4v556.17MB
  168. 53.Capstone Project - Social Media App/2.Building Social Media App - 2.m4v407.72MB
  169. 54.Live Sessions/1.Live Session-28th nov by Manu Bhaiya.m4v33.7MB
  170. 6.Operators and Expressions/1.Operator and Expression I.m4v9.65MB
  171. 6.Operators and Expressions/2.Operator and Expression II.m4v10.17MB
  172. 6.Operators and Expressions/3.Operator and Expression III.m4v12.74MB
  173. 7.Functions/1.Introduction to Functions.m4v10.76MB
  174. 7.Functions/2.Python Functions - Return, Local, Global.m4v17.98MB
  175. 7.Functions/3.Python Functions - packing arguments.m4v19.92MB
  176. 7.Functions/4.Python Functions - Lambda Functions.m4v9.49MB
  177. 7.Functions/5.Python Functions - Decorators.m4v18.79MB
  178. 7.Functions/6.Python Functions - args and *kwargs.m4v5.9MB
  179. 8.Built-In Data Structures/1.Python - Introduction to Data Structures.m4v6.46MB
  180. 8.Built-In Data Structures/2.Python - Introduction to Strings.m4v13.61MB
  181. 8.Built-In Data Structures/3.Python - String Operations.m4v12.13MB
  182. 8.Built-In Data Structures/4.Python - Introduction to Lists.m4v14.4MB
  183. 8.Built-In Data Structures/5.Python - Introduction to Tuples.m4v26.52MB
  184. 8.Built-In Data Structures/7.Python - Introduction to Dictionaries.m4v23.01MB
  185. 8.Built-In Data Structures/8.Python - Introduction to Sets.m4v13.47MB
  186. 8.Built-In Data Structures/9.Comprehension of Data Structure in Python.m4v10.32MB
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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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