Any tool/ technology does not become trending unless it has great advantages when compares to other tools in the market. This trend of the tool/ technology continues until the new ones replace the existing one in the market. There are many IT tool combinations that were trending today in the IT market. One such combination is python machine learning. Hence today in this article I would like to share why it is trending today in the IT industry.

But prior to knowing why it is trending, let us initially move with Python application in machine learning

According to recent statistics, python has become one of the favorite languages among the developers. This Programming Language suits best from process automation to scripting to web development to machine learning. In simple words, its application is found everywhere in the IT industry. 

Why Machine learning professionals opt python?

Before going to know why machine learning professionals opt python, let us first know

python learning Curve:

Many people think that python is simple and easy to learn programming language. This is because it offers great scalability and functionality. This programming language focuses on code readability and is a versatile and well-structured programming language. Moreover, even a newbie can easily understand this programming language

Since we have gotten a brief idea of the python learning curve, let us proceed further in our discussion. The following were the reason for opting python by machine learning professionals

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The extensive go set of libraries:

libraries refers to the set of functions and routines that were written in a given language. 

Usually, a sold set of libraries helps developers in eliminating code duplications. It means with python libraries, developers can perform complex tasks easily. python libraries help researches to perform the study easily. This study includes mathematical optimization, probability, and statistics. The commonly used python libraries in machine learning are pandas, NumPy, seaborn and so on. The following image shows the python libraries

Need for good programming language:

Python is considered as the best programming languages for machine learning professionals. When compared to the other programming languages like JAVA, R, python suits best in most of the machine learning algorithms. 

simplicity:

python has gained most important for its high readability and its concise code. Hence this programming language suits best in terms of easy to use and simplicity for novice developers. Multi-stage algorithms and complex workflow are the two pillars of machine learning. Hence machine learning professionals focus more on finding solutions to the problems to achieve the project goal. Moreover, this readability plays a major role in exchanging the project between the teams. Moreover, this simplicity is responsible for the faster development of the code.

Great Support:

The python programming language is developed in an open-source- environment. Besides this programming language has great community support. Hence the developers can easily solve their problems with this huge community.

Flexibility:

It is the other advantage that this programming language offers. Besides this programming fits best in linking different data structures. And Python IDE’s usually check the code errors and alerts the developer. Hence this developer does not require much time for debugging the project.

Algorithm Exploration:

one you have gotten enough idea of python libraries, its time to explore machine learning algorithms. Some of these machine learning algorithms include linear progression, logistic progression, k-means clustering, etc.

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Easy integration:

It is the most important feature of opting python in many projects. It is responsible for integration with many other languages such as JAVA, C++ and so on. Besides, we can also use this programming language to incorporate the python stack with data scientists’ work. And this incorporation increases the efficiency into production.

Easy prototype creation:

As mentioned above, the application of this programming language is vast. one such application is website creation. Moreover, with less coding python allows you to create prototypes and test the concepts quickly. Besides, developing prototypes saves developer type and decreases the company expenditure as well.

platform-independent:

Python programming is not only simple and easy to learn programming language. But this language is also versatile. It means we can use python programming language for machine learning on different platforms. These platforms include Windows, macOS, Linux, Unix and so on. And in order to transfer the file from one platform to the other, only a minute change is enough to transfer the file. Moreover, they make use of packages like pyinstaller to make their code running on different platforms.

So likewise, there are many other reasons to opt python as the major programming language in machine learning. On the other hand, the other programming languages don’t have the capability to provide this rich set of features. In other words, since there are no other programming languages to replace python in machine learning, python machine learning is a hot cake today in the IT industry.

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