Deepa verma

Why do we choose python over Data Science?

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Python is a versatile and powerful programming language known for its simplicity and readability. Here's a brief overview: General purpose: Python can be used for various purposes such as web development, data analysis, artificial intelligence, scientific computing, automation, and more. Easy to learn: Python has a straightforward and concise syntax, making it accessible for beginners. Its readability resembles English, which helps in understanding and writing code efficiently. Interpreted: Python is an interpreted language, meaning that code is executed line by line, which makes debugging easier. However, it can be slower than compiled languages for certain tasks. https://www.sevenmentor.com/best-python-classes-in-pune.php

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shivanshi singh
Python is popular in data science because it is versatile and has many tools. It can handle everything from preparing data to analyzing it and building machine learning models. Python has libraries like NumPy and Pandas that make tasks easier. It is also easy to learn and widely used in many industries. Python's community support and scalability make it a top choice for data scientists. And maybe that's why python is preferred over data science.