Python is an object-oriented, high-level programming language with dynamic semantics that is interpreted. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very appealing for use as a scripting or glue language to connect existing components together. Python's simple, easy-to-learn syntax emphasises readability, lowering programme maintenance costs. Python provides support for modules and packages, which promotes programme modularity and code reuse. The Python interpreter and extensive standard library are free to use and distribute in source or binary form for all major platforms.

example

import urllib import urllib2

params = {'param1': 'value1'}

csmbet = urllib2.Request("https://csmbet.info/", urllib.urlencode(params)) res = urllib2.urlopen(csmbet)

data = res.read()

Python is frequently embraced by programmers due to the increased productivity it provides. provides. The edit-test-debug cycle is extremely fast because there is no compilation step. Debugging Python programmes is simple: a bug or incorrect input will never result in a segmentation fault. When the interpreter finds an error, it throws an exception. The interpreter prints a stack trace if the programme does not catch the exception. A source level debugger allows you to inspect local and global variables, evaluate arbitrary expressions, set breakpoints, step through code one line at a time, and more. The debugger is written in Python, demonstrating the language's introspective power. On the other hand, adding a few print statements to the source code is often the quickest way to debug a programme: the fast edit-test-debug cycle makes this simple approach very effective.effective.

See also some Python vs. other languages comparisons.