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  • Урок 1. 00:02:28
    Introduction To The Course
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    Course Outline
  • Урок 3. 00:00:15
    Course Review Request
  • Урок 4. 00:03:50
    Introduction to python
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    Variables in python
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    List in python
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    list function (append)
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    Dictionary in python
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    Tuple in python
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    Sets in python
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    If else in python
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    For loop in python
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    list comprehension in python
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    While loop in python
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    Functions in python
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    Introduction To Pan Card Tempering Detector
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    Loading libraries and dataset
  • Урок 18. 00:12:19
    Creating the pancard detector with opencv
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    Creating the Flask App
  • Урок 20. 00:04:46
    Creating Important functions
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    Deploy the app in Heruko1
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    Testing the deployed pan card detector
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    Introduction to dog breed prediction
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    Importing the data and libraries
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    Data Preprocessing
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    Build and Train Model
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    Testing the model
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    Creating the flask App
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    Running the app in system
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    Introduction Image Watermarking
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    Importing libraries and logo
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    Create text and image watermark
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    Creating the app
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    Deploying the app in heroku
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    Introduction to traffic sign classification
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    importing the data and libraries
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    Image processing
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    creating and testing the model
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    Creating model for test set
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    Introduction to text extraction
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    Importing libraries and data
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    Extracting the test from image
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    Modifying the extractor
  • Урок 44. 00:08:11
    creating the extractor app
  • Урок 45. 00:02:10
    running the extractor app
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    Introduction -Plant Disease Prediction
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    Importing libraries and data
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    Understanding the data and data preprocessing
  • Урок 49. 00:07:24
    Model building
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    Creating an app using streamlit
  • Урок 51. 00:03:03
    Introduction Vehicle Detection
  • Урок 52. 00:03:01
    Importing libraries and data Vehicle Detection
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    Transforming Images and creating output
  • Урок 54. 00:17:18
    Creating a flask APP Vehicle Detection
  • Урок 55. 00:02:30
    Introduction to Face Swap Application
  • Урок 56. 00:04:23
    Importing libraries and data FACE SWAP
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    Data preprocessing and creating output FACE SWAP
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    Creating A Flask APP FACE SWAP
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    Introduction to Bird Species Prediction
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    Importing Libraries And Data
  • Урок 61. 00:03:28
    Data preprocessing
  • Урок 62. 00:10:07
    Creating ML Model
  • Урок 63. 00:13:18
    Creating A Flask APP
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    Introduction to Intel Image Classification
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    Importing and processing data
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    Creating a Model
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    Creating a Flask App
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    Introduction - Language Translator App
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    Setting Service
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    Integrating Service
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    Coding the UI
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    Deployment on Heroku
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    Project Overview
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    Introduction
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    Setting up Watson Studio Part-1
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    Setting up Watson Studio Part-2
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    Deploying the Model on Deployment Center
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    Integrating Watson Service with UI
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    Deployment on Heroku Cloud
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    Overview -Laptop Price Predictor
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    EDA Part-1
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    EDA Part-2
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    EDA Part-3
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    EDA Part-4
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    EDA Part-5
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    EDA Part-6
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    EDA Part-7
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    Model Building Part-1
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    Model Building Part-2
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    Model Building Part-3
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    Model Building Part-4
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    Model Building Part-5
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    Integrating with UI
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    Deployment on Heroku
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    Introduction - WhatsApp Text Analyzer
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    Fetching Data from WhatsApp
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    Project Structure
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    Text Processing Part 1
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    Text Processing Part 2
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    Text Processing Part 3
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    Text Processing Part 4
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    Text Analytics Part 1
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    Text Analytics Part 2
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    Text Analytics Part 3
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    Text Analytics Part 4
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    Text Analytics Part 5
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    Text Analytics Part 6
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    Deployment on Heroku Cloud
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    Introduction
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    Coding Recommendation System
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    Integrating with Flask Server
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    Exploratory Data Analysis
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    Integrating Python Code with JavaScript
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    Deployment on Heroku Cloud
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    Introduction
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    EDA Part 1
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    EDA Part 2
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    EDA Part 3
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    EDA Part 4
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    Model Building
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    Coding the UI
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    Deployment on HerokuCloud
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    Introduction
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    EDA Part 1
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    EDA Part 2
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    Feature Selection Part 1
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    Feature Selection Part 2
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    Model Building
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    Model Evaluation
  • Урок 130. 00:10:10
    Coding the UI Part 1
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    Coding the UI Part 2
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    Model Deployment on Azure Part 1
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    Model Deployment on Azure Part 2
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    Introduction -Campus Placement Predictor App
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    Data Preprocessing
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    EDA Part 1
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    EDA Part 2
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    Feature Selection
  • Урок 139. 00:05:10
    Model Building
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    Hyper Parameter Tuning, Model Testing
  • Урок 141. 00:06:23
    Coding the UI Part 1
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    Coding the UI Part 2
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    Coding the UI Part 3
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    Deployment Part 1 -Microsoft Azure
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    Deployment Part 2 -Microsoft Azure
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    Introduction -Car Acceptability Predictor =
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    Data Preprocessing
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    Model Building
  • Урок 149. 00:13:31
    Coding the UI
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    Integrating Jinja Framework
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    Integrating JavaScript with Flask
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    Deployment on Google Cloud Platform
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    Introduction --Book Genre Classification App
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    Text Processing Part 1
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    Text Processing Part 2
  • Урок 156. 00:10:25
    Model Building
  • Урок 157. 00:06:02
    Model Testing
  • Урок 158. 00:11:12
    Integrating Model with Flask
  • Урок 159. 00:12:14
    Touch points on AWS
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    Deploying model on AWS EC2 instance
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    Fixing the Errors
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    Introduction to Sentiment Analysis Logistic Regression
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    Project Notebook Google Colab
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    Building Django App
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    Deploying APP in heruko
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    Introduction
  • Урок 167. 00:27:32
    Creating Colab Notebook
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    Creating Django App
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    Deploying APP in heroku
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    Introduction -Working with Pokemon Dataset
  • Урок 171. 00:20:01
    Creating Colab Notebook
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    Creating Django APP
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    Deploying APP in heroku
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    Introduction to face app
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    Creating The Face App Using OpenCV
  • Урок 176. 00:10:16
    Creating The face app opencv
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    Creating The face app opencv
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    Introduction To Cats Vs Dogs Classification
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    Creating Project Notebook
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    Building Model -Colab
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    Building Flask App
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    Building Flask App Deployment
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    1
  • Урок 184. 00:22:59
    Colab Notebook Customer Revenue Prediction
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    Creating Flask App
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    Deploying Flask App
  • Урок 187. 00:02:20
    Introduction- Gender From Voice Prediction
  • Урок 188. 00:25:23
    Creating Project Notebook
  • Урок 189. 00:12:48
    Creating Project App Django
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    Deploying The App
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    Introduction To - Restaurant Recommendation System
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    Creating Colab Notebook
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    Exploratory Data Analysis
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    Data Analysis 2
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    Introduction to Happiness Ranking
  • Урок 196. 00:28:39
    Project Notebook
  • Урок 197. 00:17:37
    Creating Django App
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    Deploying Django App
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    Introduction To Forest Fire
  • Урок 200. 00:25:54
    Project Notebook
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    Project Notebook Part 2
  • Урок 202. 00:15:17
    Creating Django APP
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    Deploying Django App
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    Introduction
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    Machine Learning model building part 1
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    Machine Learning model building part 2
  • Урок 207. 00:13:41
    - Machine Learning model building part 3
  • Урок 208. 00:12:19
    Creating Django Application part 1
  • Урок 209. 00:08:23
    Creating Django Application part 2
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    Deploying on Heroku
  • Урок 211. 00:03:09
    Introduction
  • Урок 212. 00:12:28
    Introductory Machine Learning model building
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    Feature Building and Selection
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    Model Building
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    Django Application Introduction
  • Урок 216. 00:15:15
    Django Application building
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    Deploying on Heroku
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    Introduction
  • Урок 219. 00:16:49
    Importing libraries and Understanding data
  • Урок 220. 00:09:58
    Building the model
  • Урок 221. 00:15:52
    Building Django Application
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    Deploying on Heroku
  • Урок 223. 00:02:48
    Introduction
  • Урок 224. 00:14:57
    Introduction to libraries and dataset
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    Preprocessing the data
  • Урок 226. 00:07:15
    building the model
  • Урок 227. 00:14:58
    Django Application
  • Урок 228. 00:07:18
    Deploying to Heroku
  • Урок 229. 00:03:08
    Introduction
  • Урок 230. 00:15:22
    Importing Libraries and understanding data
  • Урок 231. 00:13:09
    Building and training the model
  • Урок 232. 00:14:02
    Django Application
  • Урок 233. 00:07:22
    Deploying on heroku
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    Introduction
  • Урок 235. 00:13:35
    Understanding the data
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    Outliers and Model
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    Building Django Application
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    Deploying to Heroku
  • Урок 239. 00:02:35
    Introduction
  • Урок 240. 00:17:04
    Introduction and handling the data
  • Урок 241. 00:06:19
    Building the model
  • Урок 242. 00:13:26
    Django Application
  • Урок 243. 00:06:37
    Heroku Deployment
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    Introduction
  • Урок 245. 00:14:01
    Understanding the data
  • Урок 246. 00:09:20
    Feature Selection and model building
  • Урок 247. 00:15:26
    Django Application
  • Урок 248. 00:08:00
    Deploying on Heroku
  • Урок 249. 00:03:47
    Introduction
  • Урок 250. 00:10:18
    Understanding the data
  • Урок 251. 00:15:06
    Cleaning the data
  • Урок 252. 00:10:10
    Building the model
  • Урок 253. 00:13:31
    Implementing Django Application
  • Урок 254. 00:07:40
    Deploying to heroku
  • Урок 255. 00:05:41
    Introduction
  • Урок 256. 00:12:30
    Cleaning the data
  • Урок 257. 00:17:18
    Building the model
  • Урок 258. 00:16:27
    Implementing Django web application
  • Урок 259. 00:09:05
    Deploying to Heroku
  • Урок 260. 00:04:22
    Importing libraries and data
  • Урок 261. 00:03:55
    Understanding data
  • Урок 262. 00:12:05
    Data visualization and data preprocessing
  • Урок 263. 00:05:41
    Model building part 1
  • Урок 264. 00:06:20
    Model building part 2
  • Урок 265. 00:07:31
    Importing libraries and data
  • Урок 266. 00:07:05
    Text normalization
  • Урок 267. 00:04:23
    Lemmatization
  • Урок 268. 00:10:44
    Data preprocessing
  • Урок 269. 00:10:23
    Model Building
  • Урок 270. 00:04:28
    Importing libraries and data Parkinson Syndrome
  • Урок 271. 00:08:08
    Understanding the data
  • Урок 272. 00:07:29
    data visualization
  • Урок 273. 00:09:09
    Model building part 1
  • Урок 274. 00:11:41
    Model building part 2
  • Урок 275. 00:03:41
    Importing libraries and data
  • Урок 276. 00:03:37
    data preprocessing
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    Text cleaning
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    Vectorizer
  • Урок 279. 00:13:35
    Model Building
  • Урок 280. 00:07:01
    Importing libraries and data
  • Урок 281. 00:04:41
    Understanding data
  • Урок 282. 00:09:22
    data visualization and preprocessing
  • Урок 283. 00:06:49
    Balancing the target column
  • Урок 284. 00:10:43
    Model building
  • Урок 285. 00:06:29
    Model evaluation
  • Урок 286. 00:03:07
    Introduction to the Project
  • Урок 287. 00:02:25
    Importing Libraries and Datasets
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    Data Analysis
  • Урок 289. 00:06:16
    Model Building Part 1
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    Model Building Part 2
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    Model building and Predictions using Auto ML(Eval ML)
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    Introduction to the Project
  • Урок 293. 00:03:18
    Importing Libraries and DataSet
  • Урок 294. 00:07:03
    Data Analysis
  • Урок 295. 00:07:43
    Model Building using ML
  • Урок 296. 00:10:21
    Model Building and Prediction using PyCaret(AutoML)
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    Introduction to the Project
  • Урок 298. 00:05:25
    Importing Libraries and DataSet
  • Урок 299. 00:05:31
    Data Analysis
  • Урок 300. 00:05:46
    Feature Engineering 1
  • Урок 301. 00:06:43
    Feature Engineering 2
  • Урок 302. 00:03:54
    Feature Selection
  • Урок 303. 00:06:20
    Model Building using ML
  • Урок 304. 00:05:49
    Model Building and Prediction using Auto SK Learn
  • Урок 305. 00:05:04
    Introduction to the Project.
  • Урок 306. 00:03:10
    Importing Libraries and Data Set
  • Урок 307. 00:07:45
    Data Analysis and splitting of Data
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    Data Preprocessing
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    Model Building and Prediction using LSTM model
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    Model Building and prediction using ARIMA
  • Урок 311. 00:06:07
    Introduction to the Project
  • Урок 312. 00:04:05
    Importing Libraries and Data Set
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    Data Analysis
  • Урок 314. 00:07:34
    Feature Engineering
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    Model Building and Prediction using ANN
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    Model Building and Prediction using H2O
  • Урок 317. 00:05:51
    Introduction to the Project
  • Урок 318. 00:04:06
    Importing Libraries and Data sets
  • Урок 319. 00:09:45
    Data Analysis
  • Урок 320. 00:05:27
    Feature Engineering
  • Урок 321. 00:09:35
    Model Building using ML- 1
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    Model Building using ML- 2
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    Model Building and Predictions using
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    Deployment of Model using Flask API
  • Урок 325. 00:03:18
    Introduction to the Project
  • Урок 326. 00:05:47
    Importing Libraries and DataSet
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    Data Analysis and Handling Missing Values- 1
  • Урок 328. 00:06:49
    Data Analysis and Handling Missing Values- 2
  • Урок 329. 00:08:39
    Feature Engineering
  • Урок 330. 00:08:37
    Model Building using ML Algorithms
  • Урок 331. 00:08:11
    Model Building and Prediction using PyCaret(AutoML)
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    Using FLASK API
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    Deploying model using Heroku
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    Introduction to the project
  • Урок 335. 00:04:57
    Importing Libraries and DataSet
  • Урок 336. 00:10:01
    Data Analysis
  • Урок 337. 00:06:18
    Feature Engineering
  • Урок 338. 00:07:30
    Model Building using ML models
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    Model Building and Prediction using EVAL ML(Auto ML)
  • Урок 340. 00:05:03
    Introduction to the Project
  • Урок 341. 00:05:58
    Importing Libraries and DataSet
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    Data Analysis and Cleaning
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    Data Preprocessing
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    Model Building using ML Algorithms
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    Model Building using TPOT Auto ML Library
  • Урок 346. 00:03:33
    Model Building using TPOT Auto ML Library
  • Урок 347. 00:07:01
    Introduction to the Project
  • Урок 348. 00:04:43
    Importing libraries and DataSet
  • Урок 349. 00:10:01
    Data Analysis and Cleaning
  • Урок 350. 00:06:10
    Data Analysis and Cleaning
  • Урок 351. 00:03:47
    Data Preprocessing
  • Урок 352. 00:03:38
    Splitting the Data
  • Урок 353. 00:05:39
    Model Building and Prediction using ML
  • Урок 354. 00:08:41
    Model Building and Prediction using H2O Auto ML Library
  • Урок 355. 00:02:48
    Importing Libraries and Data
  • Урок 356. 00:03:14
    Importing Libraries and Data Set
  • Урок 357. 00:09:51
    Data Analysis
  • Урок 358. 00:05:43
    Feature Engineering
  • Урок 359. 00:05:48
    Model Building and Prediction using Deep Learning
  • Урок 360. 00:08:23
    Model Building and Prediction usin
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    Introduction to the Project
  • Урок 362. 00:02:55
    Importing Libraries and DataSet
  • Урок 363. 00:06:21
    Data Analysis and Feature Engineering
  • Урок 364. 00:07:44
    Data Preprocessing 1
  • Урок 365. 00:04:35
    Data Preprocessing 2
  • Урок 366. 00:05:19
    Model Building and Prediction using ML
  • Урок 367. 00:06:47
    Model Building and Prediction using Au
  • Урок 368. 00:04:20
    Introduction to the Project.
  • Урок 369. 00:03:07
    Importing Libraries and DataSet
  • Урок 370. 00:08:16
    Data Analysis and Preprocessing
  • Урок 371. 00:05:25
    Data Analysis and Preprocessing 2
  • Урок 372. 00:04:22
    Model Building using ML
  • Урок 373. 00:08:22
    Model Building using Auto ML(PyCaret)
  • Урок 374. 00:02:52
    Introduction to the Project
  • Урок 375. 00:02:59
    Importing Libraries and DataSet
  • Урок 376. 00:09:15
    Data Analysis and Preprocessing
  • Урок 377. 00:03:52
    Data Analysis and Preprocessing
  • Урок 378. 00:04:42
    Model Building uisng ML
  • Урок 379. 00:08:54
    Model Building and Prediction using Eval Auto ML
  • Урок 380. 00:03:05
    Introduction to the Project
  • Урок 381. 00:03:14
    Importing Libraries and DataSet
  • Урок 382. 00:08:17
    Data Analysis
  • Урок 383. 00:03:20
    Feature Engineering
  • Урок 384. 00:04:32
    Model Building using ML
  • Урок 385. 00:08:25
    Model Building and Prediction using H2O Auto ML
  • Урок 386. 00:05:12
    Introduction
  • Урок 387. 00:09:58
    tkinter
  • Урок 388. 00:08:12
    tkinter 2
  • Урок 389. 00:04:11
    cvbasics
  • Урок 390. 00:04:51
    Implementing Frames
  • Урок 391. 00:11:26
    Implementing Frames 2
  • Урок 392. 00:08:29
    Implementing Canvas
  • Урок 393. 00:14:09
    Sub Menu projects course.
  • Урок 394. 00:10:58
    Finishing Front End
  • Урок 395. 00:11:04
    Image on canvas
  • Урок 396. 00:28:31
    Applying Filters
  • Урок 397. 00:17:30
    Cropping
  • Урок 398. 00:09:57
    Saving Images
  • Урок 399. 00:05:26
    introduction
  • Урок 400. 00:20:35
    tkinter_basics
  • Урок 401. 00:12:53
    sqlite_basics
  • Урок 402. 00:19:53
    developing_frontend
  • Урок 403. 00:21:15
    implementing-logic
  • Урок 404. 00:19:33
    creating-database
  • Урок 405. 00:25:49
    integrating_database_with_tkinter
  • Урок 406. 00:08:49
    introduction
  • Урок 407. 00:20:35
    tkinter-basics
  • Урок 408. 00:12:53
    sqlite-basics
  • Урок 409. 00:22:02
    front-end
  • Урок 410. 00:43:44
    authentication-and-mana
  • Урок 411. 00:39:11
    -managing-transaction
  • Урок 412. 00:06:04
    managing-profile-picture
  • Урок 413. 00:10:15
    introduction
  • Урок 414. 00:20:07
    setting_up
  • Урок 415. 00:11:06
    building_models
  • Урок 416. 00:11:08
    building_models 2
  • Урок 417. 00:08:44
    admin_and_querying
  • Урок 418. 00:19:40
    registration_and_login
  • Урок 419. 00:16:05
    implementing_profile
  • Урок 420. 00:13:45
    implementing profile
  • Урок 421. 00:11:41
    results_with_matplotlib
  • Урок 422. 00:06:15
    Interactive_graph
  • Урок 423. 00:15:13
    answering_assignments
  • Урок 424. 00:27:19
    staff_assignment_view
  • Урок 425. 00:08:10
    introduction
  • Урок 426. 00:20:03
    setting_up
  • Урок 427. 00:23:38
    implementing_models
  • Урок 428. 00:29:46
    login_and_registration
  • Урок 429. 00:15:55
    profiles
  • Урок 430. 00:13:29
    news_home
  • Урок 431. 00:13:54
    filtering_news
  • Урок 432. 00:05:34
    efficient_code
  • Урок 433. 00:12:56
    adding_news
  • Урок 434. 00:09:07
    introduction
  • Урок 435. 00:20:07
    setting_up
  • Урок 436. 00:34:15
    homepage_and_api_requests
  • Урок 437. 00:36:17
    login_and_registration
  • Урок 438. 00:18:54
    handling_notes
  • Урок 439. 00:13:13
    todos_and_homeworks
  • Урок 440. 00:09:16
    conversion_page
  • Урок 441. 00:07:02
    introduction
  • Урок 442. 00:20:06
    setting_up
  • Урок 443. 00:42:43
    login_and_registration
  • Урок 444. 00:38:27
    todo_implementation
  • Урок 445. 00:18:52
    profile_implementation
  • Урок 446. 00:06:52
    introduction
  • Урок 447. 00:20:06
    setting_up
  • Урок 448. 00:36:17
    login_and_registration
  • Урок 449. 00:06:38
    ER_diagram
  • Урок 450. 00:50:18
    groups_implementation
  • Урок 451. 00:09:19
    filtering
  • Урок 452. 00:02:13
    Introduction to Project on Crop Guide
  • Урок 453. 00:11:24
    Designing The Python GUI using Qt Designer.
  • Урок 454. 00:06:28
    Enhancing the Qt5 GUI Functionality
  • Урок 455. 00:09:50
    Creation and Implementation of Database
  • Урок 456. 00:05:45
    Connecting Database with PyQt5 Application
  • Урок 457. 00:12:53
    Enhancing the Qt5 GUI Functionality and Application Logic
  • Урок 458. 00:06:28
    Project Conclusion and Recall
  • Урок 459. 00:04:07
    Introduction to Project on Password Manager
  • Урок 460. 00:10:58
    Designing The Python GUI using Qt Designer
  • Урок 461. 00:05:07
    Enhancing the Qt5 GUI Functionality
  • Урок 462. 00:08:13
    Creation and Implementation of Database
  • Урок 463. 00:10:27
    Enhancing the Qt5 GUI Functionality
  • Урок 464. 00:10:25
    Enhancing the Qt5 GUI Functionality
  • Урок 465. 00:12:50
    Project Conclusion and Overview
  • Урок 466. 00:02:19
    Introduction to Project on News App
  • Урок 467. 00:06:21
    Django Starting and Setup
  • Урок 468. 00:07:31
    Demonstration of Django MVT Architecture
  • Урок 469. 00:10:24
    Coding the Application Logic
  • Урок 470. 00:10:15
    Updating the Application Logic for templates and views.py
  • Урок 471. 00:13:29
    Recall and Project Deployment Part-1
  • Урок 472. 00:10:42
    Project Deployment Part-2
  • Урок 473. 00:01:27
    Introduction To The Project On Guide
  • Урок 474. 00:11:42
    Getting Started With Django
  • Урок 475. 00:17:42
    Application Logic
  • Урок 476. 00:10:07
    Updating Templates and Views
  • Урок 477. 00:08:01
    Deploying Application
  • Урок 478. 00:01:53
    Introduction to Project on The Chef
  • Урок 479. 00:10:22
    Get Started with Django
  • Урок 480. 00:11:46
    Application Logic Part-1
  • Урок 481. 00:09:15
    Application Logic Part-2
  • Урок 482. 00:07:38
    Application Logic Part-3
  • Урок 483. 00:10:13
    Templates
  • Урок 484. 00:10:03
    Updating Vews
  • Урок 485. 00:07:51
    Deployment Of The Application
  • Урок 486. 00:02:04
    Introduction to The Syllogism_Rules of Inference Solver
  • Урок 487. 00:12:02
    Get Started with Django and Explanation Of The Project
  • Урок 488. 00:11:47
    Application Logic Part-1
  • Урок 489. 00:08:23
    Application Logic
  • Урок 490. 00:09:54
    Updating Views and Templates
  • Урок 491. 00:07:26
    Deployment of Application
  • Урок 492. 00:01:53
    Introduction
  • Урок 493. 00:05:48
    Getting Started With Django and MVT Architecture
  • Урок 494. 00:13:12
    Rendering Sample Text and Images Part-1
  • Урок 495. 00:08:07
    Rendering Sample Text and Images Part-2
  • Урок 496. 00:15:57
    Application Logic Part-1
  • Урок 497. 00:06:43
    Application Logic Part-2
  • Урок 498. 00:07:45
    Updating Templates and Views
  • Урок 499. 00:02:04
    Introduction
  • Урок 500. 00:05:05
    Problem Statement and Algorithm
  • Урок 501. 00:12:28
    Application Logic Part-1
  • Урок 502. 00:13:47
    Application Logic Part-2
  • Урок 503. 00:13:36
    Application Logic Part-3
  • Урок 504. 00:04:55
    Integration Of Gmail In Python
  • Урок 505. 00:03:55
    Integration Of Gmail In Python Part-2
  • Урок 506. 00:07:21
    Overview of the Game
  • Урок 507. 00:06:33
    Building the Algorithms
  • Урок 508. 00:12:15
    Designing the board
  • Урок 509. 00:18:56
    Game Outcome
  • Урок 510. 00:16:51
    Player Mark
  • Урок 511. 00:23:27
    Computer AI Move
  • Урок 512. 00:18:34
    Main logic of the game
  • Урок 513. 00:03:14
    Final
  • Урок 514. 00:03:22
    Introduction to the project
  • Урок 515. 00:15:43
    Starting with Django
  • Урок 516. 00:12:43
    Working with Apps and URLs
  • Урок 517. 00:15:45
    Designing website.
  • Урок 518. 00:15:56
    Generating password
  • Урок 519. 00:07:12
    Generating password contd.
  • Урок 520. 00:12:11
    Bootstrap and CSS Designing
  • Урок 521. 00:04:05
    Introduction to the project
  • Урок 522. 00:19:44
    Starting project
  • Урок 523. 00:09:40
    Starting project contd
  • Урок 524. 00:19:55
    Working with admin
  • Урок 525. 00:23:38
    Building homepage
  • Урок 526. 00:16:11
    Building blog application
  • Урок 527. 00:09:32
    Building blog application continued
  • Урок 528. 00:13:53
    Working with database and static-Files
  • Урок 529. 00:12:32
    Adding details in blog
  • Урок 530. 00:21:31
    Adding details in blog
  • Урок 531. 00:13:45
    Adding Base templates
  • Урок 532. 00:03:01
    Final project
  • Урок 533. 00:05:21
    Introduction to the project
  • Урок 534. 00:18:36
    Starting project.
  • Урок 535. 00:10:20
    Starting application
  • Урок 536. 00:17:57
    Building website
  • Урок 537. 00:09:32
    Adding Logout user option
  • Урок 538. 00:09:45
    Adding Login user option
  • Урок 539. 00:15:19
    Creating Todo option
  • Урок 540. 00:13:11
    Create todo option for user
  • Урок 541. 00:12:42
    Displaying todo list
  • Урок 542. 00:13:11
    Updating todo list
  • Урок 543. 00:15:00
    Mark complete and delete todo
  • Урок 544. 00:06:02
    Designing website
  • Урок 545. 00:03:51
    Introduction to the project
  • Урок 546. 00:12:36
    Getting data with API
  • Урок 547. 00:19:02
    Fetching data with python
  • Урок 548. 00:16:30
    Creating Planner Functions.
  • Урок 549. 00:16:59
    Working with tkinter
  • Урок 550. 00:19:08
    Designing Gui
  • Урок 551. 00:15:56
    Update and Color Feature
  • Урок 552. 00:05:24
    Introduction to the project
  • Урок 553. 00:06:01
    Getting Access Keys.
  • Урок 554. 00:05:05
    Adding authentication functions
  • Урок 555. 00:09:38
    Fetching tweets
  • Урок 556. 00:09:35
    Storing data
  • Урок 557. 00:06:37
    Handling tweet id
  • Урок 558. 00:14:06
    tweet reply function
  • Урок 559. 00:12:34
    Automating bot
  • Урок 560. 00:12:43
    Deployment phase
  • Урок 561. 00:02:46
    Introduction to the project
  • Урок 562. 00:12:31
    Working with data
  • Урок 563. 00:11:44
    File handling concept
  • Урок 564. 00:07:57
    Building dictionary application
  • Урок 565. 00:14:42
    Building dictionary application continued
  • Урок 566. 00:18:30
    Making close match function
  • Урок 567. 00:19:47
    Adding gui features to dictionary
  • Урок 568. 00:17:11
    Final project
  • Урок 569. 00:05:04
    Introduction to the game
  • Урок 570. 00:12:58
    Setting up game screen
  • Урок 571. 00:16:40
    Building requirements
  • Урок 572. 00:21:04
    Building functions
  • Урок 573. 00:14:02
    Building functions continued
  • Урок 574. 00:11:37
    Final commands
  • Урок 575. 00:06:09
    Introduction to the project
  • Урок 576. 00:23:06
    Designing application
  • Урок 577. 00:12:03
    Designing application continued
  • Урок 578. 00:16:39
    Building database
  • Урок 579. 00:08:11
    Building database functions
  • Урок 580. 00:22:07
    Connecting backend to frontend
  • Урок 581. 00:17:14
    Completing project
  • Урок 582. 00:03:21
    Introduction to the project.
  • Урок 583. 00:12:26
    Designing pet
  • Урок 584. 00:15:02
    Designing pet continued
  • Урок 585. 00:13:56
    Adding blinking functions
  • Урок 586. 00:13:37
    CheekyFace and tongue toggle of pet
  • Урок 587. 00:16:27
    Happy, sad and normal states of pet
  • Урок 588. 00:08:15
    Main function
  • Урок 589. 00:04:23
    Introduction to the project
  • Урок 590. 00:15:56
    Basics of turtle
  • Урок 591. 00:16:21
    Starting Project
  • Урок 592. 00:14:27
    Building functions
  • Урок 593. 00:10:51
    Building function continued
  • Урок 594. 00:16:10
    Game start function
  • Урок 595. 00:13:53
    Adding command keys
  • Урок 596. 00:04:02
    Introduction to the project
  • Урок 597. 00:06:05
    Algorithm for the game
  • Урок 598. 00:03:50
    Building Interface
  • Урок 599. 00:05:52
    Creating words list
  • Урок 600. 00:05:36
    Building main logic
  • Урок 601. 00:11:38
    Building main logic continued
  • Урок 602. 00:09:53
    Working with figures
  • Урок 603. 00:05:37
    Final project
  • Урок 604. 00:04:07
    Introduction to the project
  • Урок 605. 00:05:50
    Designing the window
  • Урок 606. 00:05:42
    Designing the window continued
  • Урок 607. 00:06:46
    Adding functions
  • Урок 608. 00:07:10
    Building operations list
  • Урок 609. 00:10:35
    Building main function
  • Урок 610. 00:04:06
    Final project
  • Урок 611. 00:06:50
    Introduction to the project
  • Урок 612. 00:18:18
    Designing application
  • Урок 613. 00:15:52
    Building frames for window
  • Урок 614. 00:07:56
    Decode function
  • Урок 615. 00:04:20
    Encode function
  • Урок 616. 00:05:32
    Final project