Python and Machine Learning is a droop-worthy combination!

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The Swiss Army knife of coding world, Python is one of the top most used programming languages in the world. The language not only supports structured programming but it also absolutely perfect for functional programming. Also, Python is used widely as an object-oriented programming language. Python is exceptionally extensible. It can be easily extended to a plenty of other programming languages. It allows you to write a few of the code in other languages like C or C++. This feature comes out to be very useful while working on many projects. Python comes along an extensive library. All the libraries contain a large number of codes for various purposes including unit-testing, regular expressions, web browsers, threading, databases, documentation-generation etc. Thus, the need to add code manually is less.

How is Python perfect for Machine Learning?



As Python contains a plenty of libraries and frameworks. Thus, it makes it easy to code, and thus reduces the time to develop. Python is loved for its simplicity. Also, the brief syntax as the easily readable code make Python all the more preferred. As, machine learning is all about quite complex algorithms as well as multi-stage workflows, thus, Python seems to be perfect for machine learning. When it comes to Python’s brief and easy logics they come very handy when it comes saving the time of development.

There are a plenty of Python tools which are deemed perfect for machine learning. One of the favorites is Keras, which is basically an open source library. Python was made to facilitate and speed up the implementation of various deep learning models. It comes very handy for research and python development team. Keras Python library offers a very streamlined way to make a wide variety of deep learning models. Apart from Keras, Scikit-Learn, Theano are a few of the other tools for machine learning.

Kite, Artificial Intelligence copilot for Python programmers



Experts are trying to make use of machine learning technology to develop cutting-edge tools for programming. Kite is one of the latest code-completion systems. It is conceptualized to go beyond the regular auto-suggest algorithms which are presently existing in IDEs. Kite’s code completion is based on machine learning model. This model was made by scanning easily accessible Python code on GitHub. In fact, Kite has raised around $17 million for the Artificial Intelligence-powered developer setup, as it seems to be a very useful advancement.

Artificial Intelligence and Python



As we know, Artificial Intelligence is basically the intelligence which is exhibited by a machine. It leads to an optimum solution. Algorithms are very important when it comes to Artificial Intelligence. And, as Python makes it very smooth for the developers. As, it facilitates the writing as well as the execution of codes. Python has the potential to apply a similar logic with barely 1/5th of code as opposed to other OOPs languages. Also, it becomes convenient for the testers. Also, there are a plenty of libraries that make it easy to develop Artificial Intelligence based solutions. Also, the syntax and readability of Python makes it a perfect language for AI.
When it comes to the combination of AI, Machine Learning and Python, it is definitely one of the best combinations. We can surely expect a lot from the utilization of Python as a programming language for machine learning and AI.

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