What Actually is Python ?
What Actually is Python ?
Python is an interpreted, object-oriented, high-level and general purpose programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, and also used as a scripting or glue language to connect existing components together.
Python can be used for developing desktop GUI applications, websites and web applications. As a high level programming language, it allows the users to focus on core functionality of the application by taking care of common programming tasks.
Python’s design philosophy emphasizes the code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach helps the programmers write clear and logical code for small and large-scale projects.
Python is simple and it’s easy to learn syntax emphasizes the readability and reduces the cost of maintaining the program. Python supports the modules and packages, which encourages the program modularity and reuse of code. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Python is dynamically typed and garbage-collected, which supports the multiple programming paradigms, including procedural, object-oriented and functional programming. Python is often described as a “batteries included” language due to its comprehensive standard library.
Python interpreters are available for many operating systems. A global community of programmers develops and maintains the CPython, an open source reference implementation. The Python Software Foundation, a non-profit organization, manages and directs resources for Python and CPython development.
Python will not convert its code into machine code, something which the hardware can understand. But it converts the code into something called byte code. Within python, the compilation occurs, but it’s just not into a machine language.
Often, Programmers like working with Python as it provides the increased productivity. As there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easier, a bug or bad input will never cause a segmentation fault. When the interpreter discovers an error, it raises an exception.