Top 5 Python Libraries For Data Science | Python Libraries Explained | Python Tutorial | Simplilearn



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…

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6 thoughts on “Top 5 Python Libraries For Data Science | Python Libraries Explained | Python Tutorial | Simplilearn

  1. Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

  2. The real reason Python exist. NodeJS is the best for web, but python, man oh man, it's the best for machine learning. Great overview videos where you mentioned numpy, scipy, pandas, tensorflow, matplotlib. You might want to explain about that Jupyter too, but it's not really a big topic, it's just a "console" but better, just install and run. So it's all OK.

  3. It would be great if you could pick one problem/case study or a similar one involving big data may be from a csv file/text file and shoe us how to design pipeline for the analysis and create dataframe, using other pandas and numpy functions, develop some basic models using scikit learn and finally visualize the results using some representations like plots using matplotlib!! It would give a better and quick understanding on big data analytics using these libraries! Sincerely appreciate your efforts!!! Thanks a lot

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