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[@csalgo] Python for Developers Master Course

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  • 文件大小:5GB
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文件列表

  1. 53.Capstone Project - Social Media App/1.Building Social Media App - 1.m4v 556MB
  2. 53.Capstone Project - Social Media App/2.Building Social Media App - 2.m4v 408MB
  3. 42.Project - 5 Portfolio Website/2.Django - Portfolio Project 2.m4v 75MB
  4. 37.ML Kit [Conference]/1.ML Kit - Machine Learning for Mobile Apps..m4v 68MB
  5. 41.Django Basics/6.Django - Handling static files.m4v 62MB
  6. 33.Project 04 - Creating a Telegram Bot/2.Creating an Echo Bot.m4v 53MB
  7. 52.Deploying your application/2.Django Deployment 02.m4v 47MB
  8. 16.Parallel Programming in Python/5.Python - AsyncIO 1.m4v 47MB
  9. 32.Project 03 - Automating Codechef Submissions/1.Web Automation with Selenium.m4v 46MB
  10. 33.Project 04 - Creating a Telegram Bot/5.Making a Conversational Bot.m4v 46MB
  11. 45.Forms in Django/2.Django - Forms 2.m4v 45MB
  12. 44.Project - 6 Blog Application/2.Django - Blog 2.m4v 45MB
  13. 41.Django Basics/5.Django - Getting started with Templates.m4v 45MB
  14. 26.Project 02 - Movie Recommendation System/4.Movie Recommendation - 4.m4v 43MB
  15. 24.Project 01 - Face Recognition/4.Face Recognition - Building Face Classsifier.m4v 42MB
  16. 38.Basics of GitGithub/1.Introduction to Git and Github.m4v 42MB
  17. 33.Project 04 - Creating a Telegram Bot/4.Introduction to Dialogflow.m4v 41MB
  18. 44.Project - 6 Blog Application/3.Django - Blog 3.m4v 41MB
  19. 20.Pandas/3.Pandas - MNIST Dataset.m4v 40MB
  20. 24.Project 01 - Face Recognition/3.Face Recognition Project - Generating Selfie Training Data using WebCam.m4v 40MB
  21. 33.Project 04 - Creating a Telegram Bot/3.Setting Up Webhook for Telegram Bot.m4v 39MB
  22. 41.Django Basics/3.Django - Hello World Application.m4v 39MB
  23. 41.Django Basics/2.Django - Project Setup.m4v 39MB
  24. 44.Project - 6 Blog Application/1.Django - Blog 1.m4v 38MB
  25. 47.Authentication in Django/1.Authentication 1..m4v 37MB
  26. 43.Introduction to Models in Django/5.Django - Model Relationship 2.m4v 36MB
  27. 51.Project - 9 EMOJIFIER/2.Emojifier Web Integration - 2..m4v 35MB
  28. 19.Numpy/1.Python - NumPy Basics.m4v 35MB
  29. 54.Live Sessions/1.Live Session-28th nov by Manu Bhaiya.m4v 34MB
  30. 46.Generic Views/3.Django - Generic View 3.m4v 33MB
  31. 50.Project - 8 Student Management API/1.Student API 1..m4v 33MB
  32. 16.Parallel Programming in Python/6.Python - AsyncIO 2.m4v 33MB
  33. 36.Flask and Web Deployment/5.Heroku Deployment.m4v 32MB
  34. 33.Project 04 - Creating a Telegram Bot/7.Deploying Flask App for Telegram Bot on Heroku.m4v 32MB
  35. 46.Generic Views/2.Django - Generic View 2.m4v 32MB
  36. 45.Forms in Django/1.Django - Forms 1.m4v 31MB
  37. 50.Project - 8 Student Management API/2.Student API 2..m4v 31MB
  38. 12.Modules in Python/3.Python Modules 3..m4v 31MB
  39. 51.Project - 9 EMOJIFIER/1.Emojifier Web Integration - 1..m4v 31MB
  40. 17.Python for Web/1.Python Requests library.m4v 30MB
  41. 48.Project - 7 Polling Application/4.Poller 4.m4v 30MB
  42. 18.Python for Data Science/2.Quickstart Python.m4v 30MB
  43. 34.Getting started with Machine Learning/1.Linear Regression.m4v 30MB
  44. 30.Data Acquisition - Web Crawler using Scrapy/6.Scrapy - Recursive Crawler.m4v 29MB
  45. 43.Introduction to Models in Django/3.Django - Validators in Models.m4v 29MB
  46. 43.Introduction to Models in Django/1.Django - Models Getting Started.m4v 29MB
  47. 11.Object oriented Programming/2.Python Class 02.m4v 29MB
  48. 13.File Handling/1.Python - File Handling..m4v 29MB
  49. 12.Modules in Python/1.Python Modules 1..m4v 29MB
  50. 42.Project - 5 Portfolio Website/3.Django - Portfolio Project 3.m4v 28MB
  51. 52.Deploying your application/1.Django Deployment 01.m4v 28MB
  52. 26.Project 02 - Movie Recommendation System/3.Movie Recommendation - 3.m4v 28MB
  53. 22.Seaborn/1.Seaborn 1.m4v 28MB
  54. 38.Basics of GitGithub/2.Making a Repository on Github.m4v 28MB
  55. 42.Project - 5 Portfolio Website/1.Django - Portfolio Project 1.m4v 28MB
  56. 49.Introduction to REST API/6.Django - Rest Framework 6..m4v 28MB
  57. 36.Flask and Web Deployment/3.Taking Inputs from Users in Flask.m4v 28MB
  58. 16.Parallel Programming in Python/1.Async Programming Python - 1.m4v 28MB
  59. 41.Django Basics/4.Django - Getting started with Templates.m4v 27MB
  60. 36.Flask and Web Deployment/4.ML model with Flask.m4v 27MB
  61. 11.Object oriented Programming/3.Python Class 03.m4v 27MB
  62. 30.Data Acquisition - Web Crawler using Scrapy/4.Scrapy - Using Shell & Selectors.m4v 27MB
  63. 8.Built-In Data Structures/5.Python - Introduction to Tuples.m4v 27MB
  64. 49.Introduction to REST API/5.Django - Rest Framework 5..m4v 26MB
  65. 48.Project - 7 Polling Application/1.Poller 1.m4v 26MB
  66. 49.Introduction to REST API/2.Django - Rest Framework 2..m4v 26MB
  67. 24.Project 01 - Face Recognition/2.K-Nearest Neighbours Implementation.m4v 25MB
  68. 48.Project - 7 Polling Application/3.Poller 3.m4v 25MB
  69. 48.Project - 7 Polling Application/2.Poller 2.m4v 25MB
  70. 16.Parallel Programming in Python/3.Async Programming Python - 3.m4v 25MB
  71. 43.Introduction to Models in Django/2.Django - Different Fields in Model.m4v 25MB
  72. 43.Introduction to Models in Django/4.Django - Model Relationship 1.m4v 25MB
  73. 14.Error Handling/4.Python - Error Handling 4..m4v 24MB
  74. 22.Seaborn/3.Seaborn 3.m4v 23MB
  75. 8.Built-In Data Structures/7.Python - Introduction to Dictionaries.m4v 23MB
  76. 11.Object oriented Programming/1.Python Class 01.m4v 23MB
  77. 12.Modules in Python/2.Python Modules 2..m4v 23MB
  78. 21.Data Visualisation/9.Multivariate Normal Gaussian Distribution Function.m4v 23MB
  79. 21.Data Visualisation/7.DV 07 - Movie Data Visualization.m4v 22MB
  80. 36.Flask and Web Deployment/1.Flask Basics.m4v 22MB
  81. 15.Intermediate Python/1.Python - Iteration Protocol..m4v 22MB
  82. 49.Introduction to REST API/1.Django - Rest Framework 1..m4v 21MB
  83. 22.Seaborn/2.Seaborn 2.m4v 21MB
  84. 36.Flask and Web Deployment/2.Flask Templates.m4v 21MB
  85. 18.Python for Data Science/6.Quickstart - Pandas.m4v 21MB
  86. 49.Introduction to REST API/3.Django - Rest Framework 3..m4v 21MB
  87. 23.OpenCV/4.OpenCV - Face Detection using HaarCascades.m4v 21MB
  88. 46.Generic Views/1.Django - Generic View 1.m4v 20MB
  89. 5.Python Control Flow/1.Control Flow I.m4v 20MB
  90. 16.Parallel Programming in Python/2.Async Programming Python - 2.m4v 20MB
  91. 26.Project 02 - Movie Recommendation System/2.Movie Recommendation - 2.m4v 20MB
  92. 7.Functions/3.Python Functions - packing arguments.m4v 20MB
  93. 1.Python Installation/2.Virtual Environments in Python.m4v 20MB
  94. 41.Django Basics/1.Virtual Environments in Python.m4v 20MB
  95. 27.Data Acquisition - BeautifulSoup/5.Web Scraping 05 - Cleaning Data.m4v 20MB
  96. 34.Getting started with Machine Learning/6.Linear Regression - Implementing Gradient Descent.m4v 20MB
  97. 27.Data Acquisition - BeautifulSoup/1.Web Scraping 01 - Fetching Data.m4v 19MB
  98. 33.Project 04 - Creating a Telegram Bot/6.Setting up Custom Keyboard for Telegram Bot.m4v 19MB
  99. 4.Python Basics/1.Python Basics.m4v 19MB
  100. 7.Functions/5.Python Functions - Decorators.m4v 19MB
  101. 13.File Handling/2.Python - Working with JSON..m4v 19MB
  102. 48.Project - 7 Polling Application/6.Poller 6.m4v 19MB
  103. 20.Pandas/4.Pandas - Movie Dataset.m4v 19MB
  104. 20.Pandas/2.Pandas Basics - 2.m4v 18MB
  105. 21.Data Visualisation/1.DV 01 - Line Plots.m4v 18MB
  106. 7.Functions/2.Python Functions - Return, Local, Global.m4v 18MB
  107. 15.Intermediate Python/3.Generators in Python..m4v 18MB
  108. 18.Python for Data Science/5.Quickstart - OpenCV.m4v 17MB
  109. 17.Python for Web/3.Web Scraping - Image Scrapping -1.m4v 17MB
  110. 28.Data Acquisition - Using Web APIs/4.Web Scraping - Image Scrapping -1..m4v 17MB
  111. 27.Data Acquisition - BeautifulSoup/2.Web Scraping 02 - Using Beautiful Soup.m4v 17MB
  112. 17.Python for Web/2.Python Requests library - II.m4v 17MB
  113. CSALGO.mp3 17MB
  114. 16.Parallel Programming in Python/4.Python - Coroutines in Python.m4v 17MB
  115. 21.Data Visualisation/5.DV 05 - Normal Distribution.m4v 17MB
  116. 11.Object oriented Programming/6.Python Class 06.m4v 17MB
  117. 31.🚀 Challenge - Scrape a Shopping Website/3.Scrape PepperFry Hint Video.m4v 16MB
  118. 21.Data Visualisation/3.DV 03 - Bar Graphs.m4v 16MB
  119. 48.Project - 7 Polling Application/5.Poller 5.m4v 16MB
  120. 18.Python for Data Science/3.Quickstart Numpy.m4v 16MB
  121. 38.Basics of GitGithub/3.Cloning a Repository from Github.m4v 15MB
  122. 15.Intermediate Python/2.Iterators in Python..m4v 15MB
  123. 34.Getting started with Machine Learning/3.Gradient Descent Algorithm.m4v 15MB
  124. 27.Data Acquisition - BeautifulSoup/3.Web Scraping 03 - Parsing HTML Tables.m4v 15MB
  125. 17.Python for Web/4.Web Scraping - Scraping Images II.m4v 15MB
  126. 28.Data Acquisition - Using Web APIs/5.Web Scraping - Scraping Images II..m4v 15MB
  127. 34.Getting started with Machine Learning/2.Gradient Descent Implementation.m4v 15MB
  128. 19.Numpy/3.Python - Statistical Computation using Numpy.m4v 15MB
  129. 8.Built-In Data Structures/4.Python - Introduction to Lists.m4v 14MB
  130. 11.Object oriented Programming/5.Python Class 05.m4v 14MB
  131. 21.Data Visualisation/10.Data Visualisation - Multivariate Normal Gaussian Distribution Using Numpy.m4v 14MB
  132. 11.Object oriented Programming/4.Python Class 04.m4v 14MB
  133. 34.Getting started with Machine Learning/4.Gradient Descent Update Rule for Regression.m4v 14MB
  134. 8.Built-In Data Structures/2.Python - Introduction to Strings.m4v 14MB
  135. 47.Authentication in Django/3.Authentication 3..m4v 14MB
  136. 3.Getting Started with Jupyter Notebook/1.Working with Jupyter Notebooks.m4v 14MB
  137. 8.Built-In Data Structures/8.Python - Introduction to Sets.m4v 13MB
  138. 14.Error Handling/1.Python - Error Handling 1..m4v 13MB
  139. 28.Data Acquisition - Using Web APIs/1.Web APIs 01 - OpenWeatherMap API..m4v 13MB
  140. 30.Data Acquisition - Web Crawler using Scrapy/3.Scrapy - Creating our first Spider.m4v 13MB
  141. 6.Operators and Expressions/3.Operator and Expression III.m4v 13MB
  142. 52.Deploying your application/3.Django Deployment 03.m4v 13MB
  143. 34.Getting started with Machine Learning/7.Linear Regression - Making Predictions & Submitting Online Challenge.m4v 12MB
  144. 21.Data Visualisation/8.Data Visualisation - Normal Distribution - II.m4v 12MB
  145. 34.Getting started with Machine Learning/5.Linear Regression - Data Preparation.m4v 12MB
  146. 2.Getting Started with Python/2.Getting Started II.m4v 12MB
  147. 21.Data Visualisation/4.DV 04 - Pie Charts.m4v 12MB
  148. 2.Getting Started with Python/1.Getting Started I.m4v 12MB
  149. 8.Built-In Data Structures/3.Python - String Operations.m4v 12MB
  150. 14.Error Handling/3.Python - Error Handling 3..m4v 12MB
  151. 26.Project 02 - Movie Recommendation System/1.Movie Recommendation - 1.m4v 11MB
  152. 21.Data Visualisation/11.Data Preprocessing - Normalisation Standardisation.m4v 11MB
  153. 33.Project 04 - Creating a Telegram Bot/1.Registering a Telegram Bot.m4v 11MB
  154. 28.Data Acquisition - Using Web APIs/2.Web API's 02 - Using Facebook API..m4v 11MB
  155. 5.Python Control Flow/2.Control Flow II.m4v 11MB
  156. 7.Functions/1.Introduction to Functions.m4v 11MB
  157. 18.Python for Data Science/4.Quickstart - Data Visualization.m4v 11MB
  158. 14.Error Handling/2.Python - Error Handling 2..m4v 11MB
  159. 19.Numpy/4.ML Interview Question - Std Deviation in a Running Stream.m4v 11MB
  160. 20.Pandas/1.Pandas Basics - 1.m4v 11MB
  161. 40.MVC Architecture/1.Introduction to MVC.m4v 10MB
  162. 8.Built-In Data Structures/9.Comprehension of Data Structure in Python.m4v 10MB
  163. 19.Numpy/2.Python - Random Generators NumPy.m4v 10MB
  164. 6.Operators and Expressions/2.Operator and Expression II.m4v 10MB
  165. 23.OpenCV/2.OpenCV - Working with Images II.m4v 10MB
  166. 6.Operators and Expressions/1.Operator and Expression I.m4v 10MB
  167. 28.Data Acquisition - Using Web APIs/3.Web API's 03 - Goolge API Authentication..m4v 10MB
  168. 23.OpenCV/1.OpenCV - Working with Images I.m4v 10MB
  169. 7.Functions/4.Python Functions - Lambda Functions.m4v 9MB
  170. 23.OpenCV/3.OpenCV - Working with Video Stream from WebCam.m4v 9MB
  171. 30.Data Acquisition - Web Crawler using Scrapy/5.Scrapy - Parsing response as JSON.m4v 9MB
  172. 4.Python Basics/2.Python - Variables And Arithmetic Operators.m4v 9MB
  173. 21.Data Visualisation/2.DV 02 - Scatter Plots.m4v 9MB
  174. 47.Authentication in Django/2.Authentication 2..m4v 9MB
  175. 31.🚀 Challenge - Scrape a Shopping Website/2.Scrape PepperFry Challenge.m4v 9MB
  176. 21.Data Visualisation/6.DV 06 - Histograms.m4v 8MB
  177. 1.Python Installation/1.Python 3 Installation [Windows].m4v 8MB
  178. 34.Getting started with Machine Learning/8.Linear Regression Code - Scoring.m4v 8MB
  179. 49.Introduction to REST API/4.Django - Rest Framework 4..m4v 7MB
  180. 30.Data Acquisition - Web Crawler using Scrapy/1.Scrapy - Getting Started.m4v 7MB
  181. 3.Getting Started with Jupyter Notebook/2.Set up Jupyter-Themes.m4v 7MB
  182. 8.Built-In Data Structures/1.Python - Introduction to Data Structures.m4v 6MB
  183. 7.Functions/6.Python Functions - args and *kwargs.m4v 6MB
  184. 24.Project 01 - Face Recognition/1.K-Nearest Neigbours Introduction.m4v 6MB
  185. 27.Data Acquisition - BeautifulSoup/4.Web Scraping 04 - Creating CSV.m4v 5MB
  186. 24.Project 01 - Face Recognition/5.Face Recognition - Testing our Classifier.m4v 5MB
  187. 27.Data Acquisition - BeautifulSoup/6.Web Scraping 06 - Scraping Local Files.m4v 3MB
  188. 25.🚀 Challenge - Create SnapChat Fillters/Testcases 3MB
  189. 25.🚀 Challenge - Create SnapChat Fillters/Dataset 2MB
  190. 19.Numpy/5.Numpy - A Visual Introduction [Blog].pdf 2MB
  191. 9.Quizzes/3.Python Control Flow and loops.pdf 595KB
  192. 9.Quizzes/2.Python Data Structure.pdf 580KB
  193. 9.Quizzes/1.Python Basics Quiz.pdf 366KB
  194. 20.Pandas/Quiz - Pandas.pdf 359KB
  195. 19.Numpy/Quiz - Numpy.pdf 352KB
  196. 10.Python Practice Problems/4.💡 Increasing Decreasing Sequence.pdf 200KB
  197. 7.Functions/7.Functions PDF.pdf 199KB
  198. 10.Python Practice Problems/3.💡 Pattern Numbers & Stars - 2.pdf 182KB
  199. 10.Python Practice Problems/2.💡 Pattern Numbers & Stars - 1.pdf 180KB
  200. 8.Built-In Data Structures/6.Python - Sequences [PDF].pdf 159KB
  201. 10.Python Practice Problems/7.💡 Prime Generator.pdf 151KB
  202. 10.Python Practice Problems/1.💡 Simple Input.pdf 149KB
  203. 35.Solving a Machine Learning Challenge/Dataset 149KB
  204. 10.Python Practice Problems/5.💡 Pythagorean's Challenge.pdf 138KB
  205. 4.Python Basics/3.Python - Variables [PDF].pdf 137KB
  206. 10.Python Practice Problems/6.💡 Check prime.pdf 132KB
  207. 18.Python for Data Science/1.Python Libraries Quickstarter.pdf 64KB
  208. 23.OpenCV/0.Install OpenCV Python.pdf 32KB
  209. 35.Solving a Machine Learning Challenge/TestCases 29KB
  210. 30.Data Acquisition - Web Crawler using Scrapy/2.Scrapy Installation & Troubleshoot.pdf 21KB
  211. 1.Python Installation/@csalgo Telegram.pdf 9KB
  212. 10.Python Practice Problems/@csalgo Telegram.pdf 9KB
  213. 11.Object oriented Programming/@csalgo Telegram.pdf 9KB
  214. 12.Modules in Python/@csalgo Telegram.pdf 9KB
  215. 13.File Handling/@csalgo Telegram.pdf 9KB
  216. 14.Error Handling/@csalgo Telegram.pdf 9KB
  217. 15.Intermediate Python/@csalgo Telegram.pdf 9KB
  218. 16.Parallel Programming in Python/@csalgo Telegram.pdf 9KB
  219. 17.Python for Web/@csalgo Telegram.pdf 9KB
  220. 18.Python for Data Science/@csalgo Telegram.pdf 9KB
  221. 19.Numpy/@csalgo Telegram.pdf 9KB
  222. 2.Getting Started with Python/@csalgo Telegram.pdf 9KB
  223. 20.Pandas/@csalgo Telegram.pdf 9KB
  224. 21.Data Visualisation/@csalgo Telegram.pdf 9KB
  225. 22.Seaborn/@csalgo Telegram.pdf 9KB
  226. 23.OpenCV/@csalgo Telegram.pdf 9KB
  227. 24.Project 01 - Face Recognition/@csalgo Telegram.pdf 9KB
  228. 25.🚀 Challenge - Create SnapChat Fillters/@csalgo Telegram.pdf 9KB
  229. 26.Project 02 - Movie Recommendation System/@csalgo Telegram.pdf 9KB
  230. 27.Data Acquisition - BeautifulSoup/@csalgo Telegram.pdf 9KB
  231. 28.Data Acquisition - Using Web APIs/@csalgo Telegram.pdf 9KB
  232. 29.🚀 Challenge - Chuk Norris Jokes/@csalgo Telegram.pdf 9KB
  233. 3.Getting Started with Jupyter Notebook/@csalgo Telegram.pdf 9KB
  234. 30.Data Acquisition - Web Crawler using Scrapy/@csalgo Telegram.pdf 9KB
  235. 31.🚀 Challenge - Scrape a Shopping Website/@csalgo Telegram.pdf 9KB
  236. 32.Project 03 - Automating Codechef Submissions/@csalgo Telegram.pdf 9KB
  237. 33.Project 04 - Creating a Telegram Bot/@csalgo Telegram.pdf 9KB
  238. 34.Getting started with Machine Learning/@csalgo Telegram.pdf 9KB
  239. 35.Solving a Machine Learning Challenge/@csalgo Telegram.pdf 9KB
  240. 36.Flask and Web Deployment/@csalgo Telegram.pdf 9KB
  241. 37.ML Kit [Conference]/@csalgo Telegram.pdf 9KB
  242. 38.Basics of GitGithub/@csalgo Telegram.pdf 9KB
  243. 39.Basics of HTML, CSS, JavaScript/@csalgo Telegram.pdf 9KB
  244. 4.Python Basics/@csalgo Telegram.pdf 9KB
  245. 40.MVC Architecture/@csalgo Telegram.pdf 9KB
  246. 41.Django Basics/@csalgo Telegram.pdf 9KB
  247. 42.Project - 5 Portfolio Website/@csalgo Telegram.pdf 9KB
  248. 43.Introduction to Models in Django/@csalgo Telegram.pdf 9KB
  249. 44.Project - 6 Blog Application/@csalgo Telegram.pdf 9KB
  250. 45.Forms in Django/@csalgo Telegram.pdf 9KB
  251. 46.Generic Views/@csalgo Telegram.pdf 9KB
  252. 47.Authentication in Django/@csalgo Telegram.pdf 9KB
  253. 48.Project - 7 Polling Application/@csalgo Telegram.pdf 9KB
  254. 49.Introduction to REST API/@csalgo Telegram.pdf 9KB
  255. 5.Python Control Flow/@csalgo Telegram.pdf 9KB
  256. 50.Project - 8 Student Management API/@csalgo Telegram.pdf 9KB
  257. 51.Project - 9 EMOJIFIER/@csalgo Telegram.pdf 9KB
  258. 52.Deploying your application/@csalgo Telegram.pdf 9KB
  259. 53.Capstone Project - Social Media App/@csalgo Telegram.pdf 9KB
  260. 54.Live Sessions/@csalgo Telegram.pdf 9KB
  261. 6.Operators and Expressions/@csalgo Telegram.pdf 9KB
  262. 7.Functions/@csalgo Telegram.pdf 9KB
  263. 8.Built-In Data Structures/@csalgo Telegram.pdf 9KB
  264. 9.Quizzes/@csalgo Telegram.pdf 9KB
  265. 29.🚀 Challenge - Chuk Norris Jokes/TestCases 4KB
  266. 39.Basics of HTML, CSS, JavaScript/Basics of HTML, CSS, JavaScript.txt 426B
  267. 1.Python Installation/@csalgo Telegram.txt 299B
  268. 10.Python Practice Problems/@csalgo Telegram.txt 299B
  269. 11.Object oriented Programming/@csalgo Telegram.txt 299B
  270. 12.Modules in Python/@csalgo Telegram.txt 299B
  271. 13.File Handling/@csalgo Telegram.txt 299B
  272. 14.Error Handling/@csalgo Telegram.txt 299B
  273. 15.Intermediate Python/@csalgo Telegram.txt 299B
  274. 16.Parallel Programming in Python/@csalgo Telegram.txt 299B
  275. 17.Python for Web/@csalgo Telegram.txt 299B
  276. 18.Python for Data Science/@csalgo Telegram.txt 299B
  277. 19.Numpy/@csalgo Telegram.txt 299B
  278. 2.Getting Started with Python/@csalgo Telegram.txt 299B
  279. 20.Pandas/@csalgo Telegram.txt 299B
  280. 21.Data Visualisation/@csalgo Telegram.txt 299B
  281. 22.Seaborn/@csalgo Telegram.txt 299B
  282. 23.OpenCV/@csalgo Telegram.txt 299B
  283. 24.Project 01 - Face Recognition/@csalgo Telegram.txt 299B
  284. 25.🚀 Challenge - Create SnapChat Fillters/@csalgo Telegram.txt 299B
  285. 26.Project 02 - Movie Recommendation System/@csalgo Telegram.txt 299B
  286. 27.Data Acquisition - BeautifulSoup/@csalgo Telegram.txt 299B
  287. 28.Data Acquisition - Using Web APIs/@csalgo Telegram.txt 299B
  288. 29.🚀 Challenge - Chuk Norris Jokes/@csalgo Telegram.txt 299B
  289. 3.Getting Started with Jupyter Notebook/@csalgo Telegram.txt 299B
  290. 30.Data Acquisition - Web Crawler using Scrapy/@csalgo Telegram.txt 299B
  291. 31.🚀 Challenge - Scrape a Shopping Website/@csalgo Telegram.txt 299B
  292. 32.Project 03 - Automating Codechef Submissions/@csalgo Telegram.txt 299B
  293. 33.Project 04 - Creating a Telegram Bot/@csalgo Telegram.txt 299B
  294. 34.Getting started with Machine Learning/@csalgo Telegram.txt 299B
  295. 35.Solving a Machine Learning Challenge/@csalgo Telegram.txt 299B
  296. 36.Flask and Web Deployment/@csalgo Telegram.txt 299B
  297. 37.ML Kit [Conference]/@csalgo Telegram.txt 299B
  298. 38.Basics of GitGithub/@csalgo Telegram.txt 299B
  299. 39.Basics of HTML, CSS, JavaScript/@csalgo Telegram.txt 299B
  300. 4.Python Basics/@csalgo Telegram.txt 299B
  301. 40.MVC Architecture/@csalgo Telegram.txt 299B
  302. 41.Django Basics/@csalgo Telegram.txt 299B
  303. 42.Project - 5 Portfolio Website/@csalgo Telegram.txt 299B
  304. 43.Introduction to Models in Django/@csalgo Telegram.txt 299B
  305. 44.Project - 6 Blog Application/@csalgo Telegram.txt 299B
  306. 45.Forms in Django/@csalgo Telegram.txt 299B
  307. 46.Generic Views/@csalgo Telegram.txt 299B
  308. 47.Authentication in Django/@csalgo Telegram.txt 299B
  309. 48.Project - 7 Polling Application/@csalgo Telegram.txt 299B
  310. 49.Introduction to REST API/@csalgo Telegram.txt 299B
  311. 5.Python Control Flow/@csalgo Telegram.txt 299B
  312. 50.Project - 8 Student Management API/@csalgo Telegram.txt 299B
  313. 51.Project - 9 EMOJIFIER/@csalgo Telegram.txt 299B
  314. 52.Deploying your application/@csalgo Telegram.txt 299B
  315. 53.Capstone Project - Social Media App/@csalgo Telegram.txt 299B
  316. 54.Live Sessions/@csalgo Telegram.txt 299B
  317. 6.Operators and Expressions/@csalgo Telegram.txt 299B
  318. 7.Functions/@csalgo Telegram.txt 299B
  319. 8.Built-In Data Structures/@csalgo Telegram.txt 299B
  320. 9.Quizzes/@csalgo Telegram.txt 299B
  321. 31.🚀 Challenge - Scrape a Shopping Website/sample_submission.csv 115B
  322. 29.🚀 Challenge - Chuk Norris Jokes/content.txt 85B
  323. 25.🚀 Challenge - Create SnapChat Fillters/content.txt 83B
  324. 31.🚀 Challenge - Scrape a Shopping Website/1.Read Me.txt 83B
  325. 35.Solving a Machine Learning Challenge/content.txt 81B