Python is a powerful general-purpose programming language. It is used in web development, data science, creating software prototypes, and so on

What is Python?

Python is a high-level, general-purpose programming language that is interpreted. The use of considerable indentation in its design philosophy emphasizes code readability. Its language elements and object-oriented approach aim to assist programmers in writing clear, logical code for both small and large-scale projects. 

Python is garbage-collected and dynamically typed. It supports various programming paradigms, including structured (predominantly procedural), object-oriented, and functional programming. 

Because of its extensive standard library is often referred to as a “batteries included” language. Guido van Rossum started working on Python in the late 1980s as a replacement for the ABC programming language, and Python 0.9.0 was launched in 1991. In the year 2000, Python 2.0 was released, bringing with it new capabilities like list comprehensions and a garbage collection system based on reference counting. 

Python 3.0 was published in 2008, and it was a substantial change of the language that was not backwards compatible. Python 2 was deprecated in 2020, with version 2.7.18. Python is one of the most popular programming languages on the market.

Features and design

Python is a programming language that M may use in a variety of ways. Object-oriented and structured programming are both supported fully. Many features facilitate functional and aspect-oriented programming (for example, through metaprogramming and metaobjects) (magic methods). Many more paradigms, such as design by contract and logic programming, are supported by extensions. 


  1. Python manages memory through dynamic typing and a combination of reference counting and a cycle-detecting garbage collector. 


  1. It also includes late binding (dynamic name resolution), which binds method and variable names during programme execution. 


Python’s design includes some support for Lisp-style functional programming. It has a filter, mapandreduce, list comprehensions, dictionaries, sets, and generator expressions, among other features. Two modules (itertools and functools) in the standard library implement functional tools taken from Haskell and Standard ML. The Zen of Python (PEP 20) is a document that summarises the language’s underlying philosophy and includes aphorisms like: 


  1. Beautiful is preferable to ugly. 
  2. Explicit is preferable to implicit. 
  3. Complexity is preferable to simplicity. 
  4. Complexity is preferable to complexity. 
  5. Readability is important. 

Python was created to be highly expandable rather than having all of its capability built into its core (with modules). Because of its compact modularity, it’s prevalent for adding programmable interfaces to existing systems. Van Rossum’s concept of a tight core language with a substantial standard library and an easily extensible interpreter arose from his dissatisfaction with ABC, which advocated for the polar opposite approach. 


Python aims for a cleaner, less cluttered syntax and grammar while providing developers with various coding methods to choose from. In contrast to Perl’s slogan of “there are more than one way to do it,” Python’s design philosophy is “there should be one— and preferably only one—obvious way to do it.” “To label anything as ‘smart’ is not considered a praise in the Python culture,” argues Alex Martelli, a Fellow of the Python Software Foundation and author of Python books. Python’s developers try to avoid premature optimization by rejecting fixes to non-critical areas of the CPython reference implementation that would provide minor speed gains at the expense of clarity. When speed is necessary, a Python programmer can use PyPy, a just-in-time compiler, or relocate time-sensitive functions to extension modules written in languages like C. Cython is another option, which converts Python scripts to C and calls the Python interpreter directly from the C level. 


Python’s creators want the language to be enjoyable to use. This is reflected in its name, which is a reference to the British comedy group Monty Python. In some of the tutorials and reference materials, examples refer to spam and eggs (a reference to a Monty Python satire) rather than traditional foo and bar. The term pythonic is a prominent neologism in the Python community, and it can refer to a variety of programming styles. To state that code is pythonic, it must use Python idioms effectively, be natural or fluent in the language, and adhere to Python’s minimalist philosophy and emphasis on readability. On the other hand, Unpythonic code is difficult to understand or reads like a clumsy transcription from another programming language. Pythonistas are Python users and enthusiasts, especially those who are considered competent or experienced.

Frequently Asked Questions

Python is an excellent choice for startups and tech companies as it is a perfect fit for minimum viable product (MVP) development and is highly scalable. Below you will read more about the pros of using this programming language for startups.

Users want new transformations. Artificial intelligence, Machine learning, and data science are the future, and Python is a suitable choice for developing enterprise applications and such innovative and modern applications.

The two most common programming languages in analytics are R, for statistical analysis, and Python, for general programming. Knowledge in either of these languages can be beneficial when analyzing big data sets, but is not vital.

Python is used by Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify, and a number of other massive companies. It’s one of the four main languages at Google, while Google’s YouTube is largely written in Python.

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