Do you know about Python Programming Language?

Do you know about Python Programming Language

Python

Python is a General Purpose and High-Level Programming language, interactive, object-oriented, scripting language, suitable for common tasks. This language has been designed in such a way that the codes written in it can be easily read and understood.

Unlike other programming languages, in which medium brackets ({}) are used to represent code-blocks, white space (white space) is used to represent code-blocks in Python. This programming language was created by Guido van Rossum in 1991. It is virtually a programming script in which the code does not need to be pre-assembled to run the program. Python claims "very clear remarkable power with the syntax". And its standard library is large and extensive.

The design philosophy of this language emphasizes code readability. Python claims that its syntax is very clear; Its standard library is large and comprehensive. Python often comes pre-installed with many Linux systems.

Like other dynamic languages, Python is often used as a scripting language but is sometimes used in a wide range of non-scripting contexts. Using some tools, Python code can be packaged as a standalone executable program (executable program). 

Python is an interpreted, object-oriented, high-level 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, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. 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.

Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source-level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

No comments