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Урок 1. 00:02:28Introduction To The Course
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Урок 2. 00:08:55Course Outline
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Урок 3. 00:00:15Course Review Request
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Урок 4. 00:03:50Introduction to python
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Урок 5. 00:03:24Variables in python
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Урок 6. 00:08:49List in python
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Урок 7. 00:18:31list function (append)
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Урок 8. 00:09:57Dictionary in python
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Урок 9. 00:10:25Tuple in python
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Урок 10. 00:07:07Sets in python
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Урок 11. 00:06:02If else in python
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Урок 12. 00:17:06For loop in python
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Урок 13. 00:05:52list comprehension in python
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Урок 14. 00:11:29While loop in python
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Урок 15. 00:09:42Functions in python
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Урок 16. 00:01:41Introduction To Pan Card Tempering Detector
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Урок 17. 00:03:50Loading libraries and dataset
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Урок 18. 00:12:19Creating the pancard detector with opencv
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Урок 19. 00:03:40Creating the Flask App
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Урок 20. 00:04:46Creating Important functions
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Урок 21. 00:05:36Deploy the app in Heruko1
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Урок 22. 00:01:47Testing the deployed pan card detector
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Урок 23. 00:01:53Introduction to dog breed prediction
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Урок 24. 00:06:06Importing the data and libraries
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Урок 25. 00:03:01Data Preprocessing
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Урок 26. 00:06:58Build and Train Model
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Урок 27. 00:02:19Testing the model
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Урок 28. 00:06:30Creating the flask App
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Урок 29. 00:04:03Running the app in system
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Урок 30. 00:02:01Introduction Image Watermarking
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Урок 31. 00:02:41Importing libraries and logo
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Урок 32. 00:08:37Create text and image watermark
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Урок 33. 00:13:06Creating the app
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Урок 34. 00:05:19Deploying the app in heroku
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Урок 35. 00:03:18Introduction to traffic sign classification
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Урок 36. 00:05:46importing the data and libraries
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Урок 37. 00:04:13Image processing
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Урок 38. 00:06:51creating and testing the model
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Урок 39. 00:05:07Creating model for test set
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Урок 40. 00:02:10Introduction to text extraction
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Урок 41. 00:03:36Importing libraries and data
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Урок 42. 00:04:17Extracting the test from image
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Урок 43. 00:07:48Modifying the extractor
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Урок 44. 00:08:11creating the extractor app
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Урок 45. 00:02:10running the extractor app
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Урок 46. 00:03:50Introduction -Plant Disease Prediction
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Урок 47. 00:03:39Importing libraries and data
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Урок 48. 00:04:57Understanding the data and data preprocessing
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Урок 49. 00:07:24Model building
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Урок 50. 00:11:19Creating an app using streamlit
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Урок 51. 00:03:03Introduction Vehicle Detection
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Урок 52. 00:03:01Importing libraries and data Vehicle Detection
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Урок 53. 00:10:44Transforming Images and creating output
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Урок 54. 00:17:18Creating a flask APP Vehicle Detection
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Урок 55. 00:02:30Introduction to Face Swap Application
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Урок 56. 00:04:23Importing libraries and data FACE SWAP
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Урок 57. 00:14:00Data preprocessing and creating output FACE SWAP
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Урок 58. 00:14:40Creating A Flask APP FACE SWAP
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Урок 59. 00:02:32Introduction to Bird Species Prediction
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Урок 60. 00:06:05Importing Libraries And Data
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Урок 61. 00:03:28Data preprocessing
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Урок 62. 00:10:07Creating ML Model
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Урок 63. 00:13:18Creating A Flask APP
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Урок 64. 00:02:56Introduction to Intel Image Classification
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Урок 65. 00:07:02Importing and processing data
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Урок 66. 00:08:45Creating a Model
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Урок 67. 00:12:18Creating a Flask App
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Урок 68. 00:03:37Introduction - Language Translator App
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Урок 69. 00:02:43Setting Service
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Урок 70. 00:08:23Integrating Service
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Урок 71. 00:14:03Coding the UI
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Урок 72. 00:11:53Deployment on Heroku
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Урок 73. 00:02:25Project Overview
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Урок 74. 00:04:30Introduction
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Урок 75. 00:09:34Setting up Watson Studio Part-1
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Урок 76. 00:07:16Setting up Watson Studio Part-2
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Урок 77. 00:05:02Deploying the Model on Deployment Center
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Урок 78. 00:12:02Integrating Watson Service with UI
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Урок 79. 00:13:26Deployment on Heroku Cloud
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Урок 80. 00:04:11Overview -Laptop Price Predictor
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Урок 81. 00:04:59EDA Part-1
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Урок 82. 00:11:54EDA Part-2
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Урок 83. 00:09:09EDA Part-3
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Урок 84. 00:11:12EDA Part-4
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Урок 85. 00:12:49EDA Part-5
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Урок 86. 00:17:07EDA Part-6
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Урок 87. 00:14:37EDA Part-7
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Урок 88. 00:20:25Model Building Part-1
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Урок 89. 00:13:57Model Building Part-2
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Урок 90. 00:15:17Model Building Part-3
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Урок 91. 00:09:53Model Building Part-4
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Урок 92. 00:02:11Model Building Part-5
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Урок 93. 00:15:24Integrating with UI
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Урок 94. 00:09:38Deployment on Heroku
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Урок 95. 00:06:26Introduction - WhatsApp Text Analyzer
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Урок 96. 00:02:39Fetching Data from WhatsApp
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Урок 97. 00:07:37Project Structure
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Урок 98. 00:11:09Text Processing Part 1
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Урок 99. 00:14:37Text Processing Part 2
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Урок 100. 00:05:55Text Processing Part 3
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Урок 101. 00:14:12Text Processing Part 4
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Урок 102. 00:12:37Text Analytics Part 1
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Урок 103. 00:10:33Text Analytics Part 2
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Урок 104. 00:12:37Text Analytics Part 3
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Урок 105. 00:12:13Text Analytics Part 4
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Урок 106. 00:11:44Text Analytics Part 5
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Урок 107. 00:07:57Text Analytics Part 6
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Урок 108. 00:10:38Deployment on Heroku Cloud
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Урок 109. 00:03:41Introduction
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Урок 110. 00:12:43Coding Recommendation System
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Урок 111. 00:14:50Integrating with Flask Server
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Урок 112. 00:07:39Exploratory Data Analysis
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Урок 113. 00:09:28Integrating Python Code with JavaScript
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Урок 114. 00:07:51Deployment on Heroku Cloud
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Урок 115. 00:04:57Introduction
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Урок 116. 00:12:31EDA Part 1
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Урок 117. 00:07:06EDA Part 2
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Урок 118. 00:12:30EDA Part 3
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Урок 119. 00:09:31EDA Part 4
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Урок 120. 00:14:44Model Building
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Урок 121. 00:10:14Coding the UI
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Урок 122. 00:14:25Deployment on HerokuCloud
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Урок 123. 00:03:49Introduction
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Урок 124. 00:08:56EDA Part 1
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Урок 125. 00:11:10EDA Part 2
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Урок 126. 00:11:26Feature Selection Part 1
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Урок 127. 00:05:29Feature Selection Part 2
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Урок 128. 00:06:14Model Building
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Урок 129. 00:05:49Model Evaluation
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Урок 130. 00:10:10Coding the UI Part 1
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Урок 131. 00:11:09Coding the UI Part 2
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Урок 132. 00:12:44Model Deployment on Azure Part 1
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Урок 133. 00:02:48Model Deployment on Azure Part 2
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Урок 134. 00:04:34Introduction -Campus Placement Predictor App
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Урок 135. 00:09:31Data Preprocessing
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Урок 136. 00:10:27EDA Part 1
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Урок 137. 00:07:57EDA Part 2
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Урок 138. 00:13:58Feature Selection
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Урок 139. 00:05:10Model Building
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Урок 140. 00:14:56Hyper Parameter Tuning, Model Testing
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Урок 141. 00:06:23Coding the UI Part 1
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Урок 142. 00:09:22Coding the UI Part 2
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Урок 143. 00:12:41Coding the UI Part 3
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Урок 144. 00:14:22Deployment Part 1 -Microsoft Azure
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Урок 145. 00:02:01Deployment Part 2 -Microsoft Azure
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Урок 146. 00:04:55Introduction -Car Acceptability Predictor =
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Урок 147. 00:11:45Data Preprocessing
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Урок 148. 00:08:32Model Building
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Урок 149. 00:13:31Coding the UI
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Урок 150. 00:11:53Integrating Jinja Framework
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Урок 151. 00:07:18Integrating JavaScript with Flask
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Урок 152. 00:16:47Deployment on Google Cloud Platform
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Урок 153. 00:03:36Introduction --Book Genre Classification App
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Урок 154. 00:10:21Text Processing Part 1
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Урок 155. 00:10:30Text Processing Part 2
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Урок 156. 00:10:25Model Building
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Урок 157. 00:06:02Model Testing
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Урок 158. 00:11:12Integrating Model with Flask
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Урок 159. 00:12:14Touch points on AWS
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Урок 160. 00:28:39Deploying model on AWS EC2 instance
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Урок 161. 00:03:09Fixing the Errors
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Урок 162. 00:02:09Introduction to Sentiment Analysis Logistic Regression
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Урок 163. 00:18:32Project Notebook Google Colab
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Урок 164. 00:10:56Building Django App
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Урок 165. 00:12:37Deploying APP in heruko
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Урок 166. 00:02:28Introduction
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Урок 167. 00:27:32Creating Colab Notebook
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Урок 168. 00:11:00Creating Django App
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Урок 169. 00:09:53Deploying APP in heroku
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Урок 170. 00:02:35Introduction -Working with Pokemon Dataset
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Урок 171. 00:20:01Creating Colab Notebook
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Урок 172. 00:12:35Creating Django APP
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Урок 173. 00:09:03Deploying APP in heroku
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Урок 174. 00:02:45Introduction to face app
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Урок 175. 00:14:54Creating The Face App Using OpenCV
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Урок 176. 00:10:16Creating The face app opencv
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Урок 177. 00:13:15Creating The face app opencv
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Урок 178. 00:03:06Introduction To Cats Vs Dogs Classification
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Урок 179. 00:25:57Creating Project Notebook
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Урок 180. 00:08:46Building Model -Colab
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Урок 181. 00:07:01Building Flask App
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Урок 182. 00:09:56Building Flask App Deployment
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Урок 183. 00:02:561
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Урок 184. 00:22:59Colab Notebook Customer Revenue Prediction
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Урок 185. 00:14:24Creating Flask App
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Урок 186. 00:09:17Deploying Flask App
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Урок 187. 00:02:20Introduction- Gender From Voice Prediction
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Урок 188. 00:25:23Creating Project Notebook
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Урок 189. 00:12:48Creating Project App Django
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Урок 190. 00:08:41Deploying The App
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Урок 191. 00:04:23Introduction To - Restaurant Recommendation System
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Урок 192. 00:14:06Creating Colab Notebook
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Урок 193. 00:10:40Exploratory Data Analysis
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Урок 194. 00:31:58Data Analysis 2
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Урок 195. 00:03:28Introduction to Happiness Ranking
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Урок 196. 00:28:39Project Notebook
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Урок 197. 00:17:37Creating Django App
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Урок 198. 00:08:51Deploying Django App
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Урок 199. 00:04:28Introduction To Forest Fire
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Урок 200. 00:25:54Project Notebook
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Урок 201. 00:08:23Project Notebook Part 2
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Урок 202. 00:15:17Creating Django APP
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Урок 203. 00:09:16Deploying Django App
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Урок 204. 00:02:41Introduction
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Урок 205. 00:07:21Machine Learning model building part 1
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Урок 206. 00:11:54Machine Learning model building part 2
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Урок 207. 00:13:41- Machine Learning model building part 3
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Урок 208. 00:12:19Creating Django Application part 1
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Урок 209. 00:08:23Creating Django Application part 2
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Урок 210. 00:08:37Deploying on Heroku
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Урок 211. 00:03:09Introduction
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Урок 212. 00:12:28Introductory Machine Learning model building
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Урок 213. 00:14:17Feature Building and Selection
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Урок 214. 00:05:41Model Building
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Урок 215. 00:07:08Django Application Introduction
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Урок 216. 00:15:15Django Application building
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Урок 217. 00:06:36Deploying on Heroku
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Урок 218. 00:02:58Introduction
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Урок 219. 00:16:49Importing libraries and Understanding data
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Урок 220. 00:09:58Building the model
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Урок 221. 00:15:52Building Django Application
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Урок 222. 00:08:00Deploying on Heroku
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Урок 223. 00:02:48Introduction
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Урок 224. 00:14:57Introduction to libraries and dataset
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Урок 225. 00:10:02Preprocessing the data
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Урок 226. 00:07:15building the model
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Урок 227. 00:14:58Django Application
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Урок 228. 00:07:18Deploying to Heroku
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Урок 229. 00:03:08Introduction
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Урок 230. 00:15:22Importing Libraries and understanding data
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Урок 231. 00:13:09Building and training the model
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Урок 232. 00:14:02Django Application
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Урок 233. 00:07:22Deploying on heroku
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Урок 234. 00:03:29Introduction
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Урок 235. 00:13:35Understanding the data
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Урок 236. 00:17:16Outliers and Model
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Урок 237. 00:15:25Building Django Application
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Урок 238. 00:07:56Deploying to Heroku
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Урок 239. 00:02:35Introduction
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Урок 240. 00:17:04Introduction and handling the data
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Урок 241. 00:06:19Building the model
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Урок 242. 00:13:26Django Application
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Урок 243. 00:06:37Heroku Deployment
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Урок 244. 00:03:02Introduction
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Урок 245. 00:14:01Understanding the data
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Урок 246. 00:09:20Feature Selection and model building
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Урок 247. 00:15:26Django Application
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Урок 248. 00:08:00Deploying on Heroku
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Урок 249. 00:03:47Introduction
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Урок 250. 00:10:18Understanding the data
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Урок 251. 00:15:06Cleaning the data
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Урок 252. 00:10:10Building the model
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Урок 253. 00:13:31Implementing Django Application
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Урок 254. 00:07:40Deploying to heroku
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Урок 255. 00:05:41Introduction
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Урок 256. 00:12:30Cleaning the data
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Урок 257. 00:17:18Building the model
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Урок 258. 00:16:27Implementing Django web application
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Урок 259. 00:09:05Deploying to Heroku
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Урок 260. 00:04:22Importing libraries and data
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Урок 261. 00:03:55Understanding data
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Урок 262. 00:12:05Data visualization and data preprocessing
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Урок 263. 00:05:41Model building part 1
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Урок 264. 00:06:20Model building part 2
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Урок 265. 00:07:31Importing libraries and data
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Урок 266. 00:07:05Text normalization
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Урок 267. 00:04:23Lemmatization
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Урок 268. 00:10:44Data preprocessing
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Урок 269. 00:10:23Model Building
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Урок 270. 00:04:28Importing libraries and data Parkinson Syndrome
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Урок 271. 00:08:08Understanding the data
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Урок 272. 00:07:29data visualization
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Урок 273. 00:09:09Model building part 1
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Урок 274. 00:11:41Model building part 2
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Урок 275. 00:03:41Importing libraries and data
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Урок 276. 00:03:37data preprocessing
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Урок 277. 00:07:08Text cleaning
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Урок 278. 00:02:12Vectorizer
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Урок 279. 00:13:35Model Building
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Урок 280. 00:07:01Importing libraries and data
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Урок 281. 00:04:41Understanding data
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Урок 282. 00:09:22data visualization and preprocessing
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Урок 283. 00:06:49Balancing the target column
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Урок 284. 00:10:43Model building
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Урок 285. 00:06:29Model evaluation
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Урок 286. 00:03:07Introduction to the Project
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Урок 287. 00:02:25Importing Libraries and Datasets
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Урок 288. 00:07:45Data Analysis
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Урок 289. 00:06:16Model Building Part 1
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Урок 290. 00:04:30Model Building Part 2
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Урок 291. 00:07:46Model building and Predictions using Auto ML(Eval ML)
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Урок 292. 00:04:42Introduction to the Project
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Урок 293. 00:03:18Importing Libraries and DataSet
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Урок 294. 00:07:03Data Analysis
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Урок 295. 00:07:43Model Building using ML
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Урок 296. 00:10:21Model Building and Prediction using PyCaret(AutoML)
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Урок 297. 00:04:08Introduction to the Project
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Урок 298. 00:05:25Importing Libraries and DataSet
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Урок 299. 00:05:31Data Analysis
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Урок 300. 00:05:46Feature Engineering 1
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Урок 301. 00:06:43Feature Engineering 2
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Урок 302. 00:03:54Feature Selection
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Урок 303. 00:06:20Model Building using ML
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Урок 304. 00:05:49Model Building and Prediction using Auto SK Learn
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Урок 305. 00:05:04Introduction to the Project.
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Урок 306. 00:03:10Importing Libraries and Data Set
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Урок 307. 00:07:45Data Analysis and splitting of Data
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Урок 308. 00:05:57Data Preprocessing
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Урок 309. 00:03:58Model Building and Prediction using LSTM model
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Урок 310. 00:05:25Model Building and prediction using ARIMA
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Урок 311. 00:06:07Introduction to the Project
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Урок 312. 00:04:05Importing Libraries and Data Set
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Урок 313. 00:11:49Data Analysis
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Урок 314. 00:07:34Feature Engineering
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Урок 315. 00:05:44Model Building and Prediction using ANN
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Урок 316. 00:11:12Model Building and Prediction using H2O
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Урок 317. 00:05:51Introduction to the Project
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Урок 318. 00:04:06Importing Libraries and Data sets
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Урок 319. 00:09:45Data Analysis
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Урок 320. 00:05:27Feature Engineering
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Урок 321. 00:09:35Model Building using ML- 1
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Урок 322. 00:05:32Model Building using ML- 2
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Урок 323. 00:06:23Model Building and Predictions using
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Урок 324. 00:11:16Deployment of Model using Flask API
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Урок 325. 00:03:18Introduction to the Project
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Урок 326. 00:05:47Importing Libraries and DataSet
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Урок 327. 00:05:55Data Analysis and Handling Missing Values- 1
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Урок 328. 00:06:49Data Analysis and Handling Missing Values- 2
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Урок 329. 00:08:39Feature Engineering
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Урок 330. 00:08:37Model Building using ML Algorithms
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Урок 331. 00:08:11Model Building and Prediction using PyCaret(AutoML)
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Урок 332. 00:06:38Using FLASK API
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Урок 333. 00:05:20Deploying model using Heroku
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Урок 334. 00:04:27Introduction to the project
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Урок 335. 00:04:57Importing Libraries and DataSet
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Урок 336. 00:10:01Data Analysis
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Урок 337. 00:06:18Feature Engineering
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Урок 338. 00:07:30Model Building using ML models
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Урок 339. 00:11:34Model Building and Prediction using EVAL ML(Auto ML)
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Урок 340. 00:05:03Introduction to the Project
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Урок 341. 00:05:58Importing Libraries and DataSet
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Урок 342. 00:07:11Data Analysis and Cleaning
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Урок 343. 00:08:45Data Preprocessing
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Урок 344. 00:08:51Model Building using ML Algorithms
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Урок 345. 00:05:37Model Building using TPOT Auto ML Library
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Урок 346. 00:03:33Model Building using TPOT Auto ML Library
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Урок 347. 00:07:01Introduction to the Project
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Урок 348. 00:04:43Importing libraries and DataSet
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Урок 349. 00:10:01Data Analysis and Cleaning
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Урок 350. 00:06:10Data Analysis and Cleaning
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Урок 351. 00:03:47Data Preprocessing
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Урок 352. 00:03:38Splitting the Data
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Урок 353. 00:05:39Model Building and Prediction using ML
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Урок 354. 00:08:41Model Building and Prediction using H2O Auto ML Library
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Урок 355. 00:02:48Importing Libraries and Data
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Урок 356. 00:03:14Importing Libraries and Data Set
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Урок 357. 00:09:51Data Analysis
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Урок 358. 00:05:43Feature Engineering
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Урок 359. 00:05:48Model Building and Prediction using Deep Learning
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Урок 360. 00:08:23Model Building and Prediction usin
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Урок 361. 00:03:17Introduction to the Project
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Урок 362. 00:02:55Importing Libraries and DataSet
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Урок 363. 00:06:21Data Analysis and Feature Engineering
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Урок 364. 00:07:44Data Preprocessing 1
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Урок 365. 00:04:35Data Preprocessing 2
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Урок 366. 00:05:19Model Building and Prediction using ML
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Урок 367. 00:06:47Model Building and Prediction using Au
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Урок 368. 00:04:20Introduction to the Project.
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Урок 369. 00:03:07Importing Libraries and DataSet
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Урок 370. 00:08:16Data Analysis and Preprocessing
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Урок 371. 00:05:25Data Analysis and Preprocessing 2
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Урок 372. 00:04:22Model Building using ML
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Урок 373. 00:08:22Model Building using Auto ML(PyCaret)
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Урок 374. 00:02:52Introduction to the Project
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Урок 375. 00:02:59Importing Libraries and DataSet
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Урок 376. 00:09:15Data Analysis and Preprocessing
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Урок 377. 00:03:52Data Analysis and Preprocessing
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Урок 378. 00:04:42Model Building uisng ML
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Урок 379. 00:08:54Model Building and Prediction using Eval Auto ML
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Урок 380. 00:03:05Introduction to the Project
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Урок 381. 00:03:14Importing Libraries and DataSet
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Урок 382. 00:08:17Data Analysis
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Урок 383. 00:03:20Feature Engineering
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Урок 384. 00:04:32Model Building using ML
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Урок 385. 00:08:25Model Building and Prediction using H2O Auto ML
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Урок 386. 00:05:12Introduction
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Урок 387. 00:09:58tkinter
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Урок 388. 00:08:12tkinter 2
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Урок 389. 00:04:11cvbasics
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Урок 390. 00:04:51Implementing Frames
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Урок 391. 00:11:26Implementing Frames 2
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Урок 392. 00:08:29Implementing Canvas
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Урок 393. 00:14:09Sub Menu projects course.
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Урок 394. 00:10:58Finishing Front End
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Урок 395. 00:11:04Image on canvas
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Урок 396. 00:28:31Applying Filters
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Урок 397. 00:17:30Cropping
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Урок 398. 00:09:57Saving Images
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Урок 399. 00:05:26introduction
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Урок 400. 00:20:35tkinter_basics
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Урок 401. 00:12:53sqlite_basics
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Урок 402. 00:19:53developing_frontend
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Урок 403. 00:21:15implementing-logic
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Урок 404. 00:19:33creating-database
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Урок 405. 00:25:49integrating_database_with_tkinter
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Урок 406. 00:08:49introduction
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Урок 407. 00:20:35tkinter-basics
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Урок 408. 00:12:53sqlite-basics
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Урок 409. 00:22:02front-end
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Урок 410. 00:43:44authentication-and-mana
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Урок 411. 00:39:11-managing-transaction
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Урок 412. 00:06:04managing-profile-picture
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Урок 413. 00:10:15introduction
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Урок 414. 00:20:07setting_up
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Урок 415. 00:11:06building_models
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Урок 416. 00:11:08building_models 2
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Урок 417. 00:08:44admin_and_querying
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Урок 418. 00:19:40registration_and_login
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Урок 419. 00:16:05implementing_profile
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Урок 420. 00:13:45implementing profile
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Урок 421. 00:11:41results_with_matplotlib
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Урок 422. 00:06:15Interactive_graph
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Урок 423. 00:15:13answering_assignments
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Урок 424. 00:27:19staff_assignment_view
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Урок 425. 00:08:10introduction
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Урок 426. 00:20:03setting_up
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Урок 427. 00:23:38implementing_models
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Урок 428. 00:29:46login_and_registration
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Урок 429. 00:15:55profiles
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Урок 430. 00:13:29news_home
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Урок 431. 00:13:54filtering_news
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Урок 432. 00:05:34efficient_code
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Урок 433. 00:12:56adding_news
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Урок 434. 00:09:07introduction
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Урок 435. 00:20:07setting_up
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Урок 436. 00:34:15homepage_and_api_requests
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Урок 437. 00:36:17login_and_registration
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Урок 438. 00:18:54handling_notes
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Урок 439. 00:13:13todos_and_homeworks
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Урок 440. 00:09:16conversion_page
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Урок 441. 00:07:02introduction
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Урок 442. 00:20:06setting_up
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Урок 443. 00:42:43login_and_registration
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Урок 444. 00:38:27todo_implementation
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Урок 445. 00:18:52profile_implementation
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Урок 446. 00:06:52introduction
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Урок 447. 00:20:06setting_up
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Урок 448. 00:36:17login_and_registration
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Урок 449. 00:06:38ER_diagram
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Урок 450. 00:50:18groups_implementation
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Урок 451. 00:09:19filtering
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Урок 452. 00:02:13Introduction to Project on Crop Guide
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Урок 453. 00:11:24Designing The Python GUI using Qt Designer.
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Урок 454. 00:06:28Enhancing the Qt5 GUI Functionality
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Урок 455. 00:09:50Creation and Implementation of Database
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Урок 456. 00:05:45Connecting Database with PyQt5 Application
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Урок 457. 00:12:53Enhancing the Qt5 GUI Functionality and Application Logic
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Урок 458. 00:06:28Project Conclusion and Recall
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Урок 459. 00:04:07Introduction to Project on Password Manager
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Урок 460. 00:10:58Designing The Python GUI using Qt Designer
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Урок 461. 00:05:07Enhancing the Qt5 GUI Functionality
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Урок 462. 00:08:13Creation and Implementation of Database
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Урок 463. 00:10:27Enhancing the Qt5 GUI Functionality
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Урок 464. 00:10:25Enhancing the Qt5 GUI Functionality
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Урок 465. 00:12:50Project Conclusion and Overview
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Урок 466. 00:02:19Introduction to Project on News App
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Урок 467. 00:06:21Django Starting and Setup
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Урок 468. 00:07:31Demonstration of Django MVT Architecture
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Урок 469. 00:10:24Coding the Application Logic
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Урок 470. 00:10:15Updating the Application Logic for templates and views.py
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Урок 471. 00:13:29Recall and Project Deployment Part-1
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Урок 472. 00:10:42Project Deployment Part-2
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Урок 473. 00:01:27Introduction To The Project On Guide
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Урок 474. 00:11:42Getting Started With Django
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Урок 475. 00:17:42Application Logic
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Урок 476. 00:10:07Updating Templates and Views
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Урок 477. 00:08:01Deploying Application
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Урок 478. 00:01:53Introduction to Project on The Chef
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Урок 479. 00:10:22Get Started with Django
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Урок 480. 00:11:46Application Logic Part-1
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Урок 481. 00:09:15Application Logic Part-2
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Урок 482. 00:07:38Application Logic Part-3
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Урок 483. 00:10:13Templates
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Урок 484. 00:10:03Updating Vews
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Урок 485. 00:07:51Deployment Of The Application
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Урок 486. 00:02:04Introduction to The Syllogism_Rules of Inference Solver
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Урок 487. 00:12:02Get Started with Django and Explanation Of The Project
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Урок 488. 00:11:47Application Logic Part-1
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Урок 489. 00:08:23Application Logic
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Урок 490. 00:09:54Updating Views and Templates
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Урок 491. 00:07:26Deployment of Application
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Урок 492. 00:01:53Introduction
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Урок 493. 00:05:48Getting Started With Django and MVT Architecture
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Урок 494. 00:13:12Rendering Sample Text and Images Part-1
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Урок 495. 00:08:07Rendering Sample Text and Images Part-2
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Урок 496. 00:15:57Application Logic Part-1
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Урок 497. 00:06:43Application Logic Part-2
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Урок 498. 00:07:45Updating Templates and Views
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Урок 499. 00:02:04Introduction
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Урок 500. 00:05:05Problem Statement and Algorithm
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Урок 501. 00:12:28Application Logic Part-1
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Урок 502. 00:13:47Application Logic Part-2
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Урок 503. 00:13:36Application Logic Part-3
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Урок 504. 00:04:55Integration Of Gmail In Python
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Урок 505. 00:03:55Integration Of Gmail In Python Part-2
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Урок 506. 00:07:21Overview of the Game
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Урок 507. 00:06:33Building the Algorithms
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Урок 508. 00:12:15Designing the board
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Урок 509. 00:18:56Game Outcome
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Урок 510. 00:16:51Player Mark
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Урок 511. 00:23:27Computer AI Move
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Урок 512. 00:18:34Main logic of the game
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Урок 513. 00:03:14Final
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Урок 514. 00:03:22Introduction to the project
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Урок 515. 00:15:43Starting with Django
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Урок 516. 00:12:43Working with Apps and URLs
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Урок 517. 00:15:45Designing website.
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Урок 518. 00:15:56Generating password
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Урок 519. 00:07:12Generating password contd.
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Урок 520. 00:12:11Bootstrap and CSS Designing
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Урок 521. 00:04:05Introduction to the project
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Урок 522. 00:19:44Starting project
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Урок 523. 00:09:40Starting project contd
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Урок 524. 00:19:55Working with admin
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Урок 525. 00:23:38Building homepage
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Урок 526. 00:16:11Building blog application
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Урок 527. 00:09:32Building blog application continued
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Урок 528. 00:13:53Working with database and static-Files
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Урок 529. 00:12:32Adding details in blog
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Урок 530. 00:21:31Adding details in blog
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Урок 531. 00:13:45Adding Base templates
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Урок 532. 00:03:01Final project
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Урок 533. 00:05:21Introduction to the project
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Урок 534. 00:18:36Starting project.
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Урок 535. 00:10:20Starting application
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Урок 536. 00:17:57Building website
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Урок 537. 00:09:32Adding Logout user option
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Урок 538. 00:09:45Adding Login user option
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Урок 539. 00:15:19Creating Todo option
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Урок 540. 00:13:11Create todo option for user
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Урок 541. 00:12:42Displaying todo list
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Урок 542. 00:13:11Updating todo list
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Урок 543. 00:15:00Mark complete and delete todo
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Урок 544. 00:06:02Designing website
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Урок 545. 00:03:51Introduction to the project
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Урок 546. 00:12:36Getting data with API
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Урок 547. 00:19:02Fetching data with python
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Урок 548. 00:16:30Creating Planner Functions.
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Урок 549. 00:16:59Working with tkinter
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Урок 550. 00:19:08Designing Gui
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Урок 551. 00:15:56Update and Color Feature
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Урок 552. 00:05:24Introduction to the project
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Урок 553. 00:06:01Getting Access Keys.
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Урок 554. 00:05:05Adding authentication functions
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Урок 555. 00:09:38Fetching tweets
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Урок 556. 00:09:35Storing data
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Урок 557. 00:06:37Handling tweet id
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Урок 558. 00:14:06tweet reply function
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Урок 559. 00:12:34Automating bot
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Урок 560. 00:12:43Deployment phase
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Урок 561. 00:02:46Introduction to the project
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Урок 562. 00:12:31Working with data
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Урок 563. 00:11:44File handling concept
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Урок 564. 00:07:57Building dictionary application
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Урок 565. 00:14:42Building dictionary application continued
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Урок 566. 00:18:30Making close match function
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Урок 567. 00:19:47Adding gui features to dictionary
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Урок 568. 00:17:11Final project
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Урок 569. 00:05:04Introduction to the game
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Урок 570. 00:12:58Setting up game screen
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Урок 571. 00:16:40Building requirements
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Урок 572. 00:21:04Building functions
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Урок 573. 00:14:02Building functions continued
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Урок 574. 00:11:37Final commands
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Урок 575. 00:06:09Introduction to the project
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Урок 576. 00:23:06Designing application
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Урок 577. 00:12:03Designing application continued
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Урок 578. 00:16:39Building database
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Урок 579. 00:08:11Building database functions
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Урок 580. 00:22:07Connecting backend to frontend
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Урок 581. 00:17:14Completing project
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Урок 582. 00:03:21Introduction to the project.
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Урок 583. 00:12:26Designing pet
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Урок 584. 00:15:02Designing pet continued
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Урок 585. 00:13:56Adding blinking functions
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Урок 586. 00:13:37CheekyFace and tongue toggle of pet
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Урок 587. 00:16:27Happy, sad and normal states of pet
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Урок 588. 00:08:15Main function
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Урок 589. 00:04:23Introduction to the project
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Урок 590. 00:15:56Basics of turtle
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Урок 591. 00:16:21Starting Project
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Урок 592. 00:14:27Building functions
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Урок 593. 00:10:51Building function continued
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Урок 594. 00:16:10Game start function
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Урок 595. 00:13:53Adding command keys
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Урок 596. 00:04:02Introduction to the project
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Урок 597. 00:06:05Algorithm for the game
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Урок 598. 00:03:50Building Interface
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Урок 599. 00:05:52Creating words list
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Урок 600. 00:05:36Building main logic
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Урок 601. 00:11:38Building main logic continued
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Урок 602. 00:09:53Working with figures
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Урок 603. 00:05:37Final project
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Урок 604. 00:04:07Introduction to the project
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Урок 605. 00:05:50Designing the window
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Урок 606. 00:05:42Designing the window continued
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Урок 607. 00:06:46Adding functions
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Урок 608. 00:07:10Building operations list
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Урок 609. 00:10:35Building main function
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Урок 610. 00:04:06Final project
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Урок 611. 00:06:50Introduction to the project
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Урок 612. 00:18:18Designing application
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Урок 613. 00:15:52Building frames for window
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Урок 614. 00:07:56Decode function
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Урок 615. 00:04:20Encode function
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Урок 616. 00:05:32Final project
- Категории
- Источники
- Все курсы
- Разделы
- Книги
Первые 15 уроков очень базовые, их стоит смотреть только тем кто впервые сталкивается с программированием или хочет изучить самые основы пайтона.
Брал для теста примеры доков из гугла, максимально хорошо сфотканные и отцентрованные на белом фоне, так там даже контуры нормально не определились с текущей реализацией в коде, нужно докручивать самому)
Само приложение на flask рассматривать не буду, как как после взрослых фреймворков по типу Yii2/Laravel/NestJs и тд, оно кажется не серьёзным и подходящим так же максимум для быстрого прототипа, который будет делать ученик далёкий от backend разработки.