Python is one of the most popular and widely known programming languages that has replaced many programming languages in the industry. It is one of the most loved programming languages that data science professionals use more because it is an ocean of libraries.

Python is known as the beginner’s level programming language because of its simplicity and easiness, its programming syntax is simple to learn and is of high level compared to C, Java, and C++.

For more accurate algorithms and coding, Analytics Insight compiles the top 10 Python libraries, here is the list-


Pytorch is an open source library, it basically a replacement of Numpy. PyTorch comes with higher-level functionality useful for building a deep neural network. Data Science professionals still can use other languages such as scipy, Cython, and numpy which help to extend PyTorch when required. Pytorch is used by many organizations including Facebook, Twitter, Nvidia, Uber for rapid prototyping in research and to train deep learning models.


Arrow is a human-friendly Python library which offers features like manipulating, creating and formatting converting dates, times, and timestamps. It supports Python 2 and 3 and it is an alternative of DateTime facilitating rich features with a nicer interface.

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Top 10 Python Libraries that Every Data Scientist Must Know
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