Felix Kling

Felix Kling

1645003014

pytube: Downloading YouTube Videos with Python

pytube

pytube is a genuine, lightweight, dependency-free Python library (and command-line utility) for downloading YouTube videos.

Documentation

Detailed documentation about the usage of the library can be found at pytube.io. This is recommended for most cases. If you want to hastily download a single video, the quick start guide below might be what you're looking for.

Description

YouTube is the most popular video-sharing platform in the world and as a hacker, you may encounter a situation where you want to script something to download videos. For this, I present to you: pytube.

pytube is a lightweight library written in Python. It has no third-party dependencies and aims to be highly reliable.

pytube also makes pipelining easy, allowing you to specify callback functions for different download events, such as on progress or on complete.

Furthermore, pytube includes a command-line utility, allowing you to download videos right from the terminal.

Features

  • Support for both progressive & DASH streams
  • Support for downloading the complete playlist
  • Easily register on_download_progress & on_download_complete callbacks
  • Command-line interfaced included
  • Caption track support
  • Outputs caption tracks to .srt format (SubRip Subtitle)
  • Ability to capture thumbnail URL
  • Extensively documented source code
  • No third-party dependencies

Quickstart

This guide covers the most basic usage of the library. For more detailed information, please refer to pytube.io.

Installation

Pytube requires an installation of Python 3.6 or greater, as well as pip. (Pip is typically bundled with Python installations.)

To install from PyPI with pip:

$ python -m pip install pytube

Sometimes, the PyPI release becomes slightly outdated. To install from the source with pip:

$ python -m pip install git+https://github.com/pytube/pytube

Using pytube in a Python script

To download a video using the library in a script, you'll need to import the YouTube class from the library and pass an argument of the video URL. From there, you can access the streams and download them.

 >>> from pytube import YouTube
 >>> YouTube('https://youtu.be/2lAe1cqCOXo').streams.first().download()
 >>> yt = YouTube('http://youtube.com/watch?v=2lAe1cqCOXo')
 >>> yt.streams
  ... .filter(progressive=True, file_extension='mp4')
  ... .order_by('resolution')
  ... .desc()
  ... .first()
  ... .download()

Using the command-line interface

Using the CLI is remarkably straightforward as well. To download a video at the highest progressive quality, you can use the following command:

$ pytube https://youtube.com/watch?v=2lAe1cqCOXo

You can also do the same for a playlist:

$ pytube https://www.youtube.com/playlist?list=PLS1QulWo1RIaJECMeUT4LFwJ-ghgoSH6n

Download Details: 
Author: pytube
Source Code: https://github.com/pytube/pytube 

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pytube: Downloading YouTube Videos with Python
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

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Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Kaia  Schmitt

Kaia Schmitt

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How to Download YouTube Video using Python Code | Download YouTube Video | Python

How to Download YouTube Video in Python.

Github - https://github.com/theindianinnovation/

#python #python code #download youtube video

Shardul Bhatt

Shardul Bhatt

1626775355

Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

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