PYTHON AND ITS LIBRARIES. PROCESSING DIGITAL INFORMATION USING MATPLOTLIB AND JUPYTER FEATURES

Authors

  • Shokhrukh Ibodullayevich Cholliyev TUIT named after Muhammad al-Khwarizmi
  • Malika Zoyir qizi Ergasheva TUIT named after Muhammad al-Khwarizmi
  • Maftunakhon Zhurabekovna Safarova TUIT named after Muhammad al-Khwarizmi

Keywords:

python, matplotlib, opencvpython, jupyter, numpy, pandas, pytorch, array, pseudocolor schemas.

Abstract

Annotation: The Python programming language has changed so much in recent years that it has covered many areas. For example, Python is considered one of the most reliable programming languages ​​in the fields of Data Science, Deep learning, Machine learning, AI and web programming. When working with data in artificial intelligence, neural networks, and in the above areas, visualization of problem solutions helps to visualize the accuracy of the solution. The Matplotlib library helps us to create a visual image. In this dissertation, we will focus on how to process an image, how massive it is, and how to change the contrast in image processing.

References

A. Müller, S. Guido. An introduction to machine learning with Python. IC "Gevissta", 2017.

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A. Sweigart. Automate the Boring Stuff with Python. Practical Programming for Total Beginners. San Francisco, 2015.

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Muminov B. et al. Localization and Classification of Myocardial Infarction Based on Artificial Neural Network //2020 Information Communication Technologies Conference (ICTC). – IEEE, 2020. – С. 245-249.

Muminov B., Vuong L. T. Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders //arXiv preprint arXiv:2005.07682. – 2020.

Muminov B. B., Bekmurodov U. B. IDEF models and innovative system for search data in stochastic information environment //2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT). – IEEE, 2020. – С. 1-6.

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Published

2022-02-28

How to Cite

Cholliyev, S. ., Ergasheva, M. ., & Safarova, M. (2022). PYTHON AND ITS LIBRARIES. PROCESSING DIGITAL INFORMATION USING MATPLOTLIB AND JUPYTER FEATURES. CENTRAL ASIAN JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS), 1(1), 46–48. Retrieved from https://cajecs.com/index.php/cajecs/article/view/v1i17

Issue

Vol. 1 No. 1 (2022): CAJECS

Section

Technical sciences

License

Copyright (c) 2022 CENTRAL ASIAN JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS)

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