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Why Python Learning is important for Data Science Jobs

Python programming language can be seen as Swiss Army knife for the programming world. Python is a multipurpose programming language that can be used for a wide variety of applications. Unlike programming languages like R, it supports structured programming, functional programming, and object-oriented programming.

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Python is an all in one programming language which is capable of handling and running embedded systems, data mining and website construction. Moreover, it is an easy language to learn and can be learned easily by taking online Python for data science course. If you are looking for best 6 months industrial training in Chandigarh, DummyByte is the right choice for you.

Developers are often confused nowadays about which programming language to choose for data science and AI project. There are so many programming languages available like Java, Python, C# which can be used for the AI based projects.

The choice of a programming language depends on various factors like ease of coding, availability of developers, type of project etc. In this article, we will be discussing the advantages of learning Python for data science and AI projects.

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Why programmers are choosing Python for Artificial Intelligence and Machine Learning?

Python provides a huge list of benefits whether you are a small scale business or a large enterprise. The benefits of Python allows you to develop and perform multiple activities at one time.

The growing popularity of Python has allowed businesses to hire Python development companies that can develop projects on Artificial intelligence, machine learning, deep learning, and natural language processing. Here are some of the advantages that make Python the best choice for artificial intelligence and data science projects.

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1. Extensive Libraries

One thing that makes Python as the best choice is its abundance of libraries and framework that facilitates coding and save time. Some of the famous libraries are Numpy for scientific computation, Pybrain for machine learning and Scripty for the advanced computation.

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Some other libraries like AIMA and Norvig can be used for the implementation of algorithms in artificial intelligence.

All these libraries save time for developers.

2. Less Coding

There are lots of algorithms involved in Artificial intelligence. The ease of testing provided by the Python makes it one of the best programming language among competitors. With Python, you can easily write and execute all the codes.

Python is capable of implementing the same logic with 1/5th of the code as compared to other programming languages. This was the main reason why Python is preferred for big AI based projects.

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3. Platform Independent

Python provides developers with the functionality to provide API from the existing programming language which indeed turns out to be extremely flexible for new Python developers. Moreover, Python is a platform-independent programming language.

With just minor changes in the code, you can get the projects and applications running on different operating systems. This saves a lot of time for developers in testing on different operating systems and migrating the source code.

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4. Support

Python is an open source programming language which has a great developer community support. There are a plenty of resources available which can help any developer to fix their issues and problems in no time.

There is a huge community base of Python developers who are willing to help other python developers in the complete development lifecycle.

5. Flexibility

One of the major benefits of the programming language is its flexibility. It has the option to choose from either scripting and OOPS approach. Python is suitable for every purpose. Moreover, it can also work as a perfect backend language and link different data structures together.

Python also gives the functionality to check the majority of code in IDE itself. It is a big plus for the developers who are struggling to get the algorithms right.

6. Popularity

Python is becoming the favorite programming language of millions of developers globally. Also, Python’s ease of learning is attracting new developers to learn this programming language. Although AI based projects require experienced developers, yet Python is easy to learn programming language.

7. Simplicity

Python is known for its concise, readable code and beats all its competitors in terms of ease of use and simplicity. Particularly for the new developers. This has a number of advantages for machine learning and deep learning.

Both machine learning and deep learning relies on complex algorithms and multiple workflows. So, developers do not have to worry about the complications involved in the coding process.

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All they have to do is to find the solutions to the problems and achieve the goals of the projects.

Wrapping Up

Artificial intelligence is having a noticeable effect on the world we live in. Smart developers are using Python as a programming language for their AI and ML projects. Python’s extensive amount of libraries and frameworks simplify the development process and also cut down the development time.

Python also reduces the overhead on developers so they can concentrate on problem-solving. While there are other programming languages that can be used for the Python development, there is no denying from the fact that Python has a cutting edge over other technologies. This is why learning Python is important for data science jobs. Get 6 months industrial training in Chandigarh from DummyByte and give a boost to your data science career.