‘’WHY PYTHON SUPPORTS ARITIFICAL INTELLIGENCE”
What is python?
Well Wikipedia (https://en.wikipedia.org.) has clearly defined python as an interpret-able high level, general purpose programming language ,developed by Guido Van Rossum in 1991, since then python’s demand has continuously risen to become relevant in artificial intelligence. Artificial intelligence is the next level in tech advancement around the world, requiring a language that can adapt, Scalable and easy to learn. This mentioned features however fit into the characteristic behavior of python programming language according to blog.eduonix.com. IBM’s trend survey of Oct 2016 supports the idea as the most preferred language for artificial intelligence
”THIS IS WHY EVERYONE WANT PYTHON”
Reviews articles from Towardsdatascience.com and blog.eduonix.com explains cleary that there are no conflicting ideas concerning this phrase.
Flexibility is one of the reasons, we all want to use python,’’ No one likes a difficult working environment, especially while working on projects right? Flexibility is the ability to implement changes on code which are already complied or while compiling. Well python allows those abilities of implementing changes and compiling immediately. Developers in python have the choice of using a combination of other languages simultaneously with python without altering the developers style of programming and solving problems.
“Am guessing that is efficiency playing out already”
Inherent abilities like readability, ability to be comprehensible, deciphered, or depicted amongst developers, allowing exchange of ideas and sharing makes it obvious that the chichi concerning the demand of python true.
Most times developers have limited time to complete programming projects, which can become technical, requiring ideas from colleagues, friends or peers who are developers using python language.
“A GREAT LIBRARY ECOSYSTEM”( towardsdataacience.com)
This unique property simply points toward the libraries of python as a programming language. These libraries are predefined python codes created by different sources/platforms like pypi. The idea of creating codes from the scratch are therefore eliminated reducing the time of developing projects. It also increases capability of developers to attain optimization in project development and delivery
“OPEN SOURCE”
Furthermore, python has a stronger community support, dependent on its open source nature, allowing developers create their own working tool which advances python libraries. Now there are tools for both beginners and pros to continually work on projects using those tools create by other developers in the python community. Material for learning python are readily available online through websites, publishing, forums etc. developers interact directly through these medium, discussing problems encountered like error generated from projects, leading to creation of more problem solving tools.
Lastly, python has tools used for artificial intelligence development in areas like machine learning that runs independently on a variety of operating systems like windows, MacOs, Linux, Unix etc. it is easily and readily transferable, Thanks to its open source nature. Once transferred to another operating system, small-scale changes can be made or simple algorithm modification are implemented and used on the new operating system where the transfer is made.
Amongst the final characteristics ‘’why we prefer python as a language for Artificial intelligence, the language is carefully constructed to have English language literal, making python programming more comprehensible for developers who understand English language. Well this makes python easier to learn, less complex, reduces time of learning the language and easy to start learning for beginners
“we therefore happily agree python is promoting the drive towards artificial intelligence.”
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