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  Published Paper Details:

  Paper Title

A REVIEW OF PYTHON LIBRARIES TO DEVEOP APPLICATIONS IN ALL DOMAINS

  Authors

  MR. PABBOJU RAMESH,  DR.R.NAKKEERAN,  MR. ACHYUTHUNI KOUNDINYA

  Keywords

Python, frameworks, Data Science, Artificial Intelligence (AI), Machine Learning, Deep Learning, Image Processing, Data Science, Data Visualization, Cloud Computing, Machine Learning, Deep Learning, Natural Language Processing, Speech recognition

  Abstract


Abstract: In last few years most of the applications are using Python for development because it supports multiple programming paradigms, provides a large collection of comprehensive standard libraries and Embedded Librarie. It is a High level programming language, Platform independent, dynamically typed, Portability, procedure oriented, Object oriented Language. We can build python application which help data analysts to analyze large amounts of data for scientific computing and machine Learning applications which enables computers to learn automatically from past data. In this paper, I explored all the built-in libraries to develop different computer science application such as Image Processing, Data Science, Data Visualization, Cloud Computing, Machine Learning, Deep Learning, Natural Language Processing, Speech recognition, etc. And also, different frameworks for Python which can make the front-end work easier are also mentioned

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2309091

  Paper ID - 243608

  Page Number(s) - a764-a768

  Pubished in - Volume 11 | Issue 9 | September 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  MR. PABBOJU RAMESH,  DR.R.NAKKEERAN,  MR. ACHYUTHUNI KOUNDINYA,   "A REVIEW OF PYTHON LIBRARIES TO DEVEOP APPLICATIONS IN ALL DOMAINS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.a764-a768, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309091.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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