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Why is python a widely accepted tool for generations of data scientists?

Python, since its inception, has gradually become a giant of a language - widely popular, and with a large community of developers depending on python entirely. Python is a powerful language capable of great things.

Data science today is fueling multiple industries like healthcare, Ecommerce, manufacturing, etc. Data analytics has become mainstream and for some organizations, essential. The versatility of data science as a discipline demands a language easy and comprehensible enough for taking on a wide range of challenges.

This article will discuss why python is the weapon of choice for many leading developers. And why a python data science course is one of the most sought after course offerings around India.

Python is easy to understand
The syntax used in python is easy and has a semblance to natural language. Even a layman can try and understand the syntax with relative ease. Due to this amazing quality, python is the default go-to option for beginners. It has high tolerance for errors Due to this ease of learning a beginner can be transformed into a master relatively fast.

The community support
Python has been around for around 45 years now. In this period of existence, many developers and coders came across the language. Generations of professionals are utilizing python for decades for day’s bread. Thus a beginner learning python can expect help from the very get-go.

Python is free
Python is completely free to use. It is obtainable without spending a penny. In some Linux based operating systems python comes as an essential. The language is known to be the most accessible language. Which is able to run on modestly powerful computers as well. Hence, the practice of python is never heavy on the pockets.

The libraries
The libraries of python are the most valuable asset of the language. These libraries are an assembly of pre-written code components. The precision of prediction seen in their creation is remarkable. The existence of specialized libraries for specific tasks makes the language more lucrative to work with.

Data science
The dependence on data analytics and data science as a whole has raised the call for more and more development of relevant tools. And the prospect of employment is also lucrative for the people able to satisfy the industry’s needs. Becoming a data professional requires adeptness in at least one coding language. Obviously, Python is the most obvious choice for many beginners. And due to the capabilities of python, the masters in the field also prefer python in many cases.
And keeping in mind the scale of demand the industry might need a lot of people able to code and develop meaningful tools.
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This COVID-19 curve is slowly flattening up and our only way to move ahead is to ensure that being consumers and service providers we work together. The rise of chatbots is a major change in the mobile app industry. More than 50% of buyers want more do-it-yourself custom service tools to expedite making an online purchase, and chatbots are the perfect way to extend that sort of customer relationship management. For instance, Starbucks has released an app called ‘My Starbucks Barista’ in which any customer has to tell the app the kind of coffee you want and it places an order for you. With 80% of enterprises expected to use chatbots by 2021 and users expecting quick and precise answers, it is a real business opportunity to integrate a chatbot for a mobile app. IoT-enabled mobile apps are gaining a market share. 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