In this article, we are going to learn about how Python plays an important role in imaging applications. Python is a high-level programming language that allows you to work faster and integrate your systems more effectively. 90% of people prefer Python over other technologies due to its simplicity, reliability, and easy interface. It is often compared to Lisp, Tcl, Perl, Ruby, C#, Visual Basic, Visual Fox Pro, Scheme, or Java. You can easily connect with C/ObjC/Java/Fortran. It runs on all major operating systems like Windows, Linux/Unix, OS/2, Mac, Amiga, etc. Day by day we can see rapid growth in Python development.
Piton supports multiple programming paradigms and modules. Python also supports Internet Communications Engine (ICE) and many other integration technologies. It is packed with rich libraries and many add-on packages to tackle specific tasks. Python is a friendly language that you can easily learn. Python used in many business, government, non-profit organizations, Google search engine, YouTube, NASA, New York Stock Exchange, etc. Python is often used as a scripting language, but it is also used in a wide range of non-scripting contexts. It provides a very clear and readable syntax. You can easily write programs using this language. Python code runs more than fast enough for most applications. It is used in a wide variety of application domains. Python is an excellent language for learning object orientation.
Applications written in Python are
- Web Applications (Django, Pylons)
- Games (Eve Online – MMORPG).
- 3D CAD/CAM.
- imaging applications.
- Applications of science and education.
- Software Development (Trac for Project Management).
- Object databases (ZODB/Durus).
- Network Programming (Bittorent).
- Mobile apps.
- Audio/video applications.
- office applications.
- Application console.
- Business applications.
- File formats.
- Internet applications.
- Python in image applications
Images always play a more important role in reaching the audience than words in the field of web application. Because a picture is worth a thousand words. In general, some users can be satisfied with the existing images, but some users want to do some creativity or changes to an image. To meet your demands, Python provides several programs. Let’s see how Python is used in imaging applications
- Gnofracto 4D is a flexible fractal generation program that allows the user to create beautiful images called fractals. Based on mathematical principles, the computer created the images automatically, including the Mandelbrot and Julia sets and many more. It doesn’t mean you have to do math to create the images. Instead, you can use your mouse to create more images as per your wish. It basically runs on Unix-based systems like Linux and FreeBSD and can also run on Mac OS X. It is very easy to use, very fast and flexible with unlimited fractal features and lots of options. It is a widely used open source program.
- gogh is a PyGTK based image editor or paint program with support for pressure sensitive tablets/devices.
- ImgSeek is a content-based searchable photo collection manager and viewer. It has many features. If you want to find a particular item, just draw the image or you can use another image in your collection. It provides you with exactly what you need.
- Piton it’s the Python programming language plus a 3D graphics module called “visual”. Using it, you can easily create objects in 3D space and animations, etc. Helps you display objects in a window. VPython allows programmers to focus more on the computational aspect of their programs.
- maya saw is a scientific visualization program based on the Visualization Toolkit (VTK), it supports volume data visualization via texture and ray mappers. It’s easy to use. It can be imported as a Python module from other Python programs, and can also be scripted from the Python interpreter.
Finally, we conclude this article that python applications are used in different ways in image application. Not only in this field, it is also used in various types of applications.
