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种子名称： [@csalgo] Python for Developers Master Course
文件类型： 视频
文件数目： 186个文件
文件大小： 4.92 GB
收录时间： 2021-8-19 04:00
已经下载： 3次
资源热度： 118
最近下载： 2024-5-21 13:25

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[@csalgo] Python for Developers Master Course.torrent

1.Python Installation/1.Python 3 Installation [Windows].m4v8MB

1.Python Installation/2.Virtual Environments in Python.m4v19.84MB

11.Object oriented Programming/1.Python Class 01.m4v22.99MB

11.Object oriented Programming/2.Python Class 02.m4v28.67MB

11.Object oriented Programming/3.Python Class 03.m4v26.7MB

11.Object oriented Programming/4.Python Class 04.m4v13.73MB

11.Object oriented Programming/5.Python Class 05.m4v14.2MB

11.Object oriented Programming/6.Python Class 06.m4v16.66MB

12.Modules in Python/1.Python Modules 1..m4v28.53MB

12.Modules in Python/2.Python Modules 2..m4v22.99MB

12.Modules in Python/3.Python Modules 3..m4v30.69MB

13.File Handling/1.Python - File Handling..m4v28.55MB

13.File Handling/2.Python - Working with JSON..m4v18.71MB

14.Error Handling/1.Python - Error Handling 1..m4v13.34MB

14.Error Handling/2.Python - Error Handling 2..m4v10.68MB

14.Error Handling/3.Python - Error Handling 3..m4v11.91MB

14.Error Handling/4.Python - Error Handling 4..m4v24.47MB

15.Intermediate Python/1.Python - Iteration Protocol..m4v21.55MB

15.Intermediate Python/2.Iterators in Python..m4v15.48MB

15.Intermediate Python/3.Generators in Python..m4v17.65MB

16.Parallel Programming in Python/1.Async Programming Python - 1.m4v27.6MB

16.Parallel Programming in Python/2.Async Programming Python - 2.m4v20.04MB

16.Parallel Programming in Python/3.Async Programming Python - 3.m4v25.33MB

16.Parallel Programming in Python/4.Python - Coroutines in Python.m4v16.7MB

16.Parallel Programming in Python/5.Python - AsyncIO 1.m4v46.53MB

16.Parallel Programming in Python/6.Python - AsyncIO 2.m4v32.86MB

17.Python for Web/1.Python Requests library.m4v30.42MB

17.Python for Web/2.Python Requests library - II.m4v16.97MB

17.Python for Web/3.Web Scraping - Image Scrapping -1.m4v17.29MB

17.Python for Web/4.Web Scraping - Scraping Images II.m4v15.12MB

18.Python for Data Science/2.Quickstart Python.m4v29.85MB

18.Python for Data Science/3.Quickstart Numpy.m4v15.68MB

18.Python for Data Science/4.Quickstart - Data Visualization.m4v10.7MB

18.Python for Data Science/5.Quickstart - OpenCV.m4v17.39MB

18.Python for Data Science/6.Quickstart - Pandas.m4v20.71MB

19.Numpy/1.Python - NumPy Basics.m4v35.22MB

19.Numpy/2.Python - Random Generators NumPy.m4v10.23MB

19.Numpy/3.Python - Statistical Computation using Numpy.m4v14.86MB

19.Numpy/4.ML Interview Question - Std Deviation in a Running Stream.m4v10.58MB

2.Getting Started with Python/1.Getting Started I.m4v12.18MB

2.Getting Started with Python/2.Getting Started II.m4v12.22MB

20.Pandas/1.Pandas Basics - 1.m4v10.51MB

20.Pandas/2.Pandas Basics - 2.m4v18.4MB

20.Pandas/3.Pandas - MNIST Dataset.m4v40.19MB

20.Pandas/4.Pandas - Movie Dataset.m4v18.54MB

21.Data Visualisation/1.DV 01 - Line Plots.m4v18.21MB

21.Data Visualisation/10.Data Visualisation - Multivariate Normal Gaussian Distribution Using Numpy.m4v13.94MB

21.Data Visualisation/11.Data Preprocessing - Normalisation Standardisation.m4v11.11MB

21.Data Visualisation/2.DV 02 - Scatter Plots.m4v9.28MB

21.Data Visualisation/3.DV 03 - Bar Graphs.m4v16.25MB

21.Data Visualisation/4.DV 04 - Pie Charts.m4v12.21MB

21.Data Visualisation/5.DV 05 - Normal Distribution.m4v16.68MB

21.Data Visualisation/6.DV 06 - Histograms.m4v8.27MB

21.Data Visualisation/7.DV 07 - Movie Data Visualization.m4v21.81MB

21.Data Visualisation/8.Data Visualisation - Normal Distribution - II.m4v12.45MB

21.Data Visualisation/9.Multivariate Normal Gaussian Distribution Function.m4v22.97MB

22.Seaborn/1.Seaborn 1.m4v27.96MB

22.Seaborn/2.Seaborn 2.m4v21.24MB

22.Seaborn/3.Seaborn 3.m4v23.03MB

23.OpenCV/1.OpenCV - Working with Images I.m4v9.53MB

23.OpenCV/2.OpenCV - Working with Images II.m4v9.82MB

23.OpenCV/3.OpenCV - Working with Video Stream from WebCam.m4v9.42MB

23.OpenCV/4.OpenCV - Face Detection using HaarCascades.m4v20.67MB

24.Project 01 - Face Recognition/1.K-Nearest Neigbours Introduction.m4v5.62MB

24.Project 01 - Face Recognition/2.K-Nearest Neighbours Implementation.m4v25.44MB

24.Project 01 - Face Recognition/3.Face Recognition Project - Generating Selfie Training Data using WebCam.m4v39.51MB

24.Project 01 - Face Recognition/4.Face Recognition - Building Face Classsifier.m4v42.41MB

24.Project 01 - Face Recognition/5.Face Recognition - Testing our Classifier.m4v4.69MB

26.Project 02 - Movie Recommendation System/1.Movie Recommendation - 1.m4v11.29MB

26.Project 02 - Movie Recommendation System/2.Movie Recommendation - 2.m4v19.95MB

26.Project 02 - Movie Recommendation System/3.Movie Recommendation - 3.m4v28.11MB

26.Project 02 - Movie Recommendation System/4.Movie Recommendation - 4.m4v42.75MB

27.Data Acquisition - BeautifulSoup/1.Web Scraping 01 - Fetching Data.m4v19.34MB

27.Data Acquisition - BeautifulSoup/2.Web Scraping 02 - Using Beautiful Soup.m4v17.13MB

27.Data Acquisition - BeautifulSoup/3.Web Scraping 03 - Parsing HTML Tables.m4v15.24MB

27.Data Acquisition - BeautifulSoup/4.Web Scraping 04 - Creating CSV.m4v4.84MB

27.Data Acquisition - BeautifulSoup/5.Web Scraping 05 - Cleaning Data.m4v19.83MB

27.Data Acquisition - BeautifulSoup/6.Web Scraping 06 - Scraping Local Files.m4v2.74MB

28.Data Acquisition - Using Web APIs/1.Web APIs 01 - OpenWeatherMap API..m4v13.12MB

28.Data Acquisition - Using Web APIs/2.Web API's 02 - Using Facebook API..m4v10.8MB

28.Data Acquisition - Using Web APIs/3.Web API's 03 - Goolge API Authentication..m4v9.59MB

28.Data Acquisition - Using Web APIs/4.Web Scraping - Image Scrapping -1..m4v17.29MB

28.Data Acquisition - Using Web APIs/5.Web Scraping - Scraping Images II..m4v15.12MB

3.Getting Started with Jupyter Notebook/1.Working with Jupyter Notebooks.m4v13.51MB

3.Getting Started with Jupyter Notebook/2.Set up Jupyter-Themes.m4v6.65MB

30.Data Acquisition - Web Crawler using Scrapy/1.Scrapy - Getting Started.m4v6.66MB

30.Data Acquisition - Web Crawler using Scrapy/3.Scrapy - Creating our first Spider.m4v12.83MB

30.Data Acquisition - Web Crawler using Scrapy/4.Scrapy - Using Shell & Selectors.m4v26.69MB

30.Data Acquisition - Web Crawler using Scrapy/5.Scrapy - Parsing response as JSON.m4v9.41MB

30.Data Acquisition - Web Crawler using Scrapy/6.Scrapy - Recursive Crawler.m4v29.12MB

31.🚀 Challenge - Scrape a Shopping Website/2.Scrape PepperFry Challenge.m4v9.16MB

31.🚀 Challenge - Scrape a Shopping Website/3.Scrape PepperFry Hint Video.m4v16.39MB

32.Project 03 - Automating Codechef Submissions/1.Web Automation with Selenium.m4v46.29MB

33.Project 04 - Creating a Telegram Bot/1.Registering a Telegram Bot.m4v10.81MB

33.Project 04 - Creating a Telegram Bot/2.Creating an Echo Bot.m4v52.77MB

33.Project 04 - Creating a Telegram Bot/3.Setting Up Webhook for Telegram Bot.m4v39.03MB

33.Project 04 - Creating a Telegram Bot/4.Introduction to Dialogflow.m4v40.9MB

33.Project 04 - Creating a Telegram Bot/5.Making a Conversational Bot.m4v45.83MB

33.Project 04 - Creating a Telegram Bot/6.Setting up Custom Keyboard for Telegram Bot.m4v19.19MB

33.Project 04 - Creating a Telegram Bot/7.Deploying Flask App for Telegram Bot on Heroku.m4v32.12MB

34.Getting started with Machine Learning/1.Linear Regression.m4v29.65MB

34.Getting started with Machine Learning/2.Gradient Descent Implementation.m4v15.1MB

34.Getting started with Machine Learning/3.Gradient Descent Algorithm.m4v15.39MB

34.Getting started with Machine Learning/4.Gradient Descent Update Rule for Regression.m4v13.63MB

34.Getting started with Machine Learning/5.Linear Regression - Data Preparation.m4v12.26MB

34.Getting started with Machine Learning/6.Linear Regression - Implementing Gradient Descent.m4v19.7MB

34.Getting started with Machine Learning/7.Linear Regression - Making Predictions & Submitting Online Challenge.m4v12.47MB

34.Getting started with Machine Learning/8.Linear Regression Code - Scoring.m4v7.91MB

36.Flask and Web Deployment/1.Flask Basics.m4v21.59MB

36.Flask and Web Deployment/2.Flask Templates.m4v20.84MB

36.Flask and Web Deployment/3.Taking Inputs from Users in Flask.m4v27.65MB

36.Flask and Web Deployment/4.ML model with Flask.m4v26.98MB

36.Flask and Web Deployment/5.Heroku Deployment.m4v32.48MB

37.ML Kit [Conference]/1.ML Kit - Machine Learning for Mobile Apps..m4v67.6MB

38.Basics of GitGithub/1.Introduction to Git and Github.m4v41.51MB

38.Basics of GitGithub/2.Making a Repository on Github.m4v27.89MB

38.Basics of GitGithub/3.Cloning a Repository from Github.m4v15.49MB

4.Python Basics/1.Python Basics.m4v19MB

4.Python Basics/2.Python - Variables And Arithmetic Operators.m4v9.4MB

40.MVC Architecture/1.Introduction to MVC.m4v10.4MB

41.Django Basics/1.Virtual Environments in Python.m4v19.84MB

41.Django Basics/2.Django - Project Setup.m4v38.7MB

41.Django Basics/3.Django - Hello World Application.m4v38.85MB

41.Django Basics/4.Django - Getting started with Templates.m4v27.13MB

41.Django Basics/5.Django - Getting started with Templates.m4v44.71MB

41.Django Basics/6.Django - Handling static files.m4v61.75MB

42.Project - 5 Portfolio Website/1.Django - Portfolio Project 1.m4v27.82MB

42.Project - 5 Portfolio Website/2.Django - Portfolio Project 2.m4v74.71MB

42.Project - 5 Portfolio Website/3.Django - Portfolio Project 3.m4v28.3MB

43.Introduction to Models in Django/1.Django - Models Getting Started.m4v28.85MB

43.Introduction to Models in Django/2.Django - Different Fields in Model.m4v25.33MB

43.Introduction to Models in Django/3.Django - Validators in Models.m4v28.85MB

43.Introduction to Models in Django/4.Django - Model Relationship 1.m4v25.23MB

43.Introduction to Models in Django/5.Django - Model Relationship 2.m4v35.62MB

44.Project - 6 Blog Application/1.Django - Blog 1.m4v38.47MB

44.Project - 6 Blog Application/2.Django - Blog 2.m4v45.1MB

44.Project - 6 Blog Application/3.Django - Blog 3.m4v40.56MB

45.Forms in Django/1.Django - Forms 1.m4v31.21MB

45.Forms in Django/2.Django - Forms 2.m4v45.19MB

46.Generic Views/1.Django - Generic View 1.m4v20.12MB

46.Generic Views/2.Django - Generic View 2.m4v31.73MB

46.Generic Views/3.Django - Generic View 3.m4v33.2MB

47.Authentication in Django/1.Authentication 1..m4v37.19MB

47.Authentication in Django/2.Authentication 2..m4v9.16MB

47.Authentication in Django/3.Authentication 3..m4v13.54MB

48.Project - 7 Polling Application/1.Poller 1.m4v26.1MB

48.Project - 7 Polling Application/2.Poller 2.m4v25.35MB

48.Project - 7 Polling Application/3.Poller 3.m4v25.43MB

48.Project - 7 Polling Application/4.Poller 4.m4v30.41MB

48.Project - 7 Polling Application/5.Poller 5.m4v15.88MB

48.Project - 7 Polling Application/6.Poller 6.m4v18.57MB

49.Introduction to REST API/1.Django - Rest Framework 1..m4v21.31MB

49.Introduction to REST API/2.Django - Rest Framework 2..m4v25.7MB

49.Introduction to REST API/3.Django - Rest Framework 3..m4v20.69MB

49.Introduction to REST API/4.Django - Rest Framework 4..m4v7.21MB

49.Introduction to REST API/5.Django - Rest Framework 5..m4v26.2MB

49.Introduction to REST API/6.Django - Rest Framework 6..m4v27.78MB

5.Python Control Flow/1.Control Flow I.m4v20.09MB

5.Python Control Flow/2.Control Flow II.m4v10.79MB

50.Project - 8 Student Management API/1.Student API 1..m4v32.94MB

50.Project - 8 Student Management API/2.Student API 2..m4v30.7MB

51.Project - 9 EMOJIFIER/1.Emojifier Web Integration - 1..m4v30.52MB

51.Project - 9 EMOJIFIER/2.Emojifier Web Integration - 2..m4v35.32MB

52.Deploying your application/1.Django Deployment 01.m4v28.12MB

52.Deploying your application/2.Django Deployment 02.m4v46.96MB

52.Deploying your application/3.Django Deployment 03.m4v12.7MB

53.Capstone Project - Social Media App/1.Building Social Media App - 1.m4v556.17MB

53.Capstone Project - Social Media App/2.Building Social Media App - 2.m4v407.72MB

54.Live Sessions/1.Live Session-28th nov by Manu Bhaiya.m4v33.7MB

6.Operators and Expressions/1.Operator and Expression I.m4v9.65MB

6.Operators and Expressions/2.Operator and Expression II.m4v10.17MB

6.Operators and Expressions/3.Operator and Expression III.m4v12.74MB

7.Functions/1.Introduction to Functions.m4v10.76MB

7.Functions/2.Python Functions - Return, Local, Global.m4v17.98MB

7.Functions/3.Python Functions - packing arguments.m4v19.92MB

7.Functions/4.Python Functions - Lambda Functions.m4v9.49MB

7.Functions/5.Python Functions - Decorators.m4v18.79MB

7.Functions/6.Python Functions - args and *kwargs.m4v5.9MB

8.Built-In Data Structures/1.Python - Introduction to Data Structures.m4v6.46MB

8.Built-In Data Structures/2.Python - Introduction to Strings.m4v13.61MB

8.Built-In Data Structures/3.Python - String Operations.m4v12.13MB

8.Built-In Data Structures/4.Python - Introduction to Lists.m4v14.4MB

8.Built-In Data Structures/5.Python - Introduction to Tuples.m4v26.52MB

8.Built-In Data Structures/7.Python - Introduction to Dictionaries.m4v23.01MB

8.Built-In Data Structures/8.Python - Introduction to Sets.m4v13.47MB

8.Built-In Data Structures/9.Comprehension of Data Structure in Python.m4v10.32MB