Top 5 Must-Know Python Libraries for Data Science 📊 | Complete Python Tutorial

Discover the top 5 essential Python libraries for data science, explained in this comprehensive tutorial. Boost your data analysis skills today! Use code YTBE15 for a special discount on the Data Scientist Masters Program.

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Python is the most widely used programming language today. When it comes to solving Data Science tasks and challenges, Python never ceases to surprise its audience. Most data scientists are already leveraging the power of Python programming every day. Python is easy to learn, easier to debug, widely used, object-oriented, open source, high-performance language and there are many more benefits of using Python programming. Python has been built with extraordinary libraries which are used by programmers everyday in solving the problems. So, now let us talk about the Top 5 Python libraries for Data Science.

Below are the Top 5 Python libraries for Data Science:

1. Tensorflow ( 00:29 )
2. Numpy ( 03:01 )
3. Scipy ( 06:38 )
4. Pandas ( 08:20 )
5. Matplotlib ( 11:41 )

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