Learning Python programming language
The world is full of programming, we have so many programming languages
among them half a dozen are really important. One of them is the Python programming
language. If you consider it as a tool it will be the best tool in your toolbox. Learning python programming is not a difficult task but we need to pay
attention to it. Let us see the importance of python programming language. Python
is considered an interpreted language because Python programs are executed by
an interpreter. There are two ways to use the interpreter interactive mode and
script mode.
History of python programming
Python is developed by a guy named Guido van Rossum in 1989. He is presently working for google.
Python programming has several versions like Python-2.x, 3.x. Present 3.x version is running but 2.7 is a stable version most of the developers will use 2.7. Python is not a backward-compatible language. That means if you write python code in 2.x version will not work in 3.x version. Python is using by several famous companies like Google, YouTube, Pinterest, DropBox, Nokia, Trulia, etc. So many projects are developing by using Python.
Why Python programming?
- It is an Open source that means you can run anywhere.
- It is multi-platform.
- It is having a Rich set of libraries so that you can invoke methods and packages.
- It is vastly using in the development of open-source tools.
- It is also multiple OS support we can use it in Linux, Mac, Windows, Mobile phones.
- In Linux and Mac, it is preloaded, but in windows, we have to install by using Active state python.
- Game programming and multimedia in Python with the pygame system
- Serial port communication on Windows, Linux, and more with the PySerial extension
- Image processing with PIL, PyOpenGL, Blender, Maya, and others
- Robot control programming with the PyRo toolkit
- XML parsing with the XML library package, the xmlrpclib module, and third-party extensions
- Artificial intelligence programming with neural network simulators and expert system shells.
- Natural language analysis with the NLTK package
** In this post we discussed history, uses and python implementations had discussed in the next post we will begin with Programming with Python.
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