Python  Library

Python Library


Vidcutter: A Modern Multi-platform Video Cutter Written in Python


A modern yet simple multi-platform video cutter and joiner.

 flatpak (Linux)

or via the terminal:

$ flatpak remote-add --if-not-exists flathub
  (to enable the flathub repo if not already)
$ flatpak install flathub com.ozmartians.VidCutter
$ flatpak run com.ozmartians.VidCutter

snap (Linux)

or via the terminal:

$ sudo snap install vidcutter

Arch Linux (incl. Manjaro/etc.)

Users can install the stable version directly from the Arch Linux community repo packages or via AUR for the development version.


    $ sudo pacman -S vidcutter

Using an AUR helper like yay (replace yay with any other AUR helper):


    $ yay -S vidcutter-git

Ubuntu (incl. Mint/Debian/KDE Neon/etc.)

Users can install the latest release via:


The following set of commands will get you up and running:

$ sudo add-apt-repository ppa:ozmartian/apps
$ sudo apt update
$ sudo apt install vidcutter


VidCutter is available from openSUSE's official repos for Tumbleweed, Leap versions will be supported soon. Community built packages can be found @

VidCutter is also available from the popular Packman repository. Instructions to enable it can be found @


Fedora 34 & Rawhide builds via copr @

$ dnf copr enable suspiria/VidCutter

Also available at United RPMs at and

Microsoft Windows

Download the latest Windows installer by clicking the button below.

Chocolatey package

VidCutter is available from Chocolatey (its a package manager like in Linux but for Windows).

To install VidCutter, run the following command from the command line or PowerShell:

C:\> choco install vidcutter

To upgrade VidCutter, run the following command from the command line or PowerShell:

C:\> choco upgrade vidcutter


Only macOS Catalina and below is currently supported. Big Sur is unstable until further notice.

Download the latest macOS installer by clicking the button below.

Homebrew package

VidCutter is available from Homebrew as a cask.

To install VidCutter, run the following command in a terminal:

$ brew install --cask vidcutter

Running from Python source

In order to run from source code you need to first build a Python extension and then run the app as follows, from within the source code folder:

$ python3 build_ext -i
$ python3 -m vidcutter

Working installations of libmpv and ffmpeg must be pre-installed for your specific OS. For Linux, package names are usually named libmpv1 or mpv and ffmpeg. For the media information option to work you'll also need a working install of mediainfo.

You will need Python packages pyopengl and simplejson pre-installed, via pip install pyopengl simplejson or distro packages, and a working PyQt5 + Qt5 libraries installation. Windows users can simply pip install PyQt5 to be up and running, Linux users should install a relevant PyQt5 package from their Linux distribution's package manager. Linux package names for PyQt5 are usually named python-pyqt5 or python3-pyqt5 and will take care of the Qt5 side of things too.

Command-line for debugging (Linux/macOS only)

$ vidcutter --help

Usage: vidcutter [options] [video] [project]

VidCutter - the simplest + fastest video cutter & joiner

  --debug        debug mode; verbose console output & logging. This will
                 basically output what is being logged to file to the console
                 stdout. Mainly useful for debugging problems with your system
                 video and/or audio stack and codec configuration.
  --dev          developer mode; disables the use of compiled resource files so
                 that all app resources & assets are accessed directly from the
                 file system allowing you to see UI changes immediately. this
                 typically relates to changes made to Qt stylesheets (.qss),
                 layout/templates, content includes and images. basically all
                 assets defined in .qrc files throughout the codebase.
  -v, --version  Displays version information.
  -h, --help     Displays this help.

  video          Preload video file
  project        Open VidCutter project file (.vcp)


Screenshot 1 Screenshot 2 Screenshot 3 Screenshot 4

Download Details:
Author: ozmartian
Source Code:
License: GPL-3.0 license


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Vidcutter: A Modern Multi-platform Video Cutter Written in Python
Ray  Patel

Ray Patel


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

Shardul Bhatt

Shardul Bhatt


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.


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.

#python development services #python development company #python app development #python development #python in web development #python software development

Art  Lind

Art Lind


Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Art  Lind

Art Lind


How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.


In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

1. init

class AnyClass:
    def __init__():
        print("Init called on its own")
obj = AnyClass()

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

Init called on its own

2. add

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

class AnyClass:
    def __init__(self, var):
        self.some_var = var
    def __add__(self, other_obj):
        print("Calling the add method")
        return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python