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The Importance of Python in Artificial Intelligence

Python is very useful by its prototyping algorithm for Artificial Intelligence (AI). Python has special standardized algorithms which include intuitive syntax, data structures and basic control flow for AI and also is supported by interpretive run-time without standard compiler languages.

Python in Artificial Intelligence

Python is an object-oriented, high-level and interpreted a programming language for AI with dynamic semantics. It reduces the cost of program maintenance by its quick and simple readable and simple syntax; its syntax is even readable by the beginners. Guido Van Rossum created it in 1991 and ever since it has been introduced, it still remains one of the most vastly used languages along with C++, Java, etc.

Benefits and essential features of Python

Python gives 1/5th of code compared to several other OOPs languages. There are several more reasons why Python plays a crucial role in AI among other programming languages. In this article, let’s dive deeper and understand the benefits and key features of Python followed by the reasons why Python is highly preferred programming language for AI.

Platform-independent: Python possess the ability to run on all operating systems and it is an open-source programming language.

Easy interpretation: Python does not require to be compiled into Machine Language (ML) before execution but can be run directly by the programmer with the help of native ML that is known to the hardware. It is helpful for quick and simplified interpretation by an Emulator or Virtual Machines.

General purpose and high-level programming language: Python can be used over various technologies and domains. Python is very helpful for dealing with numerous  variables, arrays, complex arithmetic, objects, Boolean expressions, and other abstract concepts to make it exhaustive for improving usability.

Automatic Memory Management: Python consists of a dynamic type system, it has programming templates such as imperative, object-oriented, functional and procedural features. It is also available for all the operating systems and also has an open-source allowing titled CPython that is garnering huge popularity.

Python libraries for General AI

Python in Artificial Intelligence has more edge over any other programming language. Python leads with a 57percent vote among developers, as it is easy to learn and implement. The following are the libraries for General AI

AIMA – Python is used in algorithms from Russell and Norvig’s ‘Artificial Intelligence: A Modern Approach.’

pyDatalog – Logic programming engine in Python

SimpleAI – Python implementation of several AI algorithms described on the book “Artificial Intelligence, a Modern Approach”. It focuses on giving an easy to use, well documented and tested library.

EasyAI – Simple Python engine for two-players games with AI (Negamax, transposition tables, game solving).

PyBrain – Simple but effective algorithm for ML that offers predefined environments, which are helpful for testing and comparing.

PyML –  It is a bilateral framework for SVMs and various kernel procedures. It also sopportive on Linux and Mac OS X.

Top reasons for Python in Artificial Intelligence

Python has various library packages to build and decode any AI-based project. Following are some of the reasons why Python is the best programming language for AI.

Built-In Libraries:

Numpy for scientific computation, PyBrain for Python machine language, Scipy for advances computing are the libraries to make Python is the suitable programming language for AI.

Robust Community:

Globally, Python developers offer vast support and assistance through forums, tutorials to help, this makes a developer to write code easier.

Platform Independent:

It offers flexible use across several operating systems with a less modifications needed in basic coding.

Choice of OOPs Concept and Scripting:

Integrated Development Environment (IDE) helpful to avoid struggles of developers with the help of several algorithms.

End Notes

Python offers the best inputs to fulfill any need of Artificial Intelligence application development by giving powerful frameworks and effective libraries along with the use of easy-to-use tools for visualization.

Niti Sharma is a professional writer, a blogger who writes for a variety of online publications. She is also an acclaimed blogger outreach expert and content marketer. She loves writing blogs and promoting websites related to the education and technology sectors.

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