2024: Proceedings of MMIT'24 International Conference
62-66
2024-07-26
Open Access

Using modern tools and technologies in learning Python

orcidГүлсім Капбар
orcidElena Kim

Received: 2024-05-19 13:24:52

Published: 2024-07-26

PDF (Russian)

Abstract

Modern tools and technologies play a crucial role in the educational process, particularly when it comes to teaching Python programming. This article will provide an overview of how these advanced tools and technologies are used in the context of learning Python. The article will explore various aspects of modern education, including interactive online platforms, integrated development environments (IDEs), such as PyCharm and Jupyter Notebook. It will also discuss cloud services for app development and deployment, such as GitHub and Heroku, as well as online courses, video tutorials, visualization tools, and machine learning and data analysis services. Additionally, task and project management systems will be discussed. This review aims to provide a better understanding of the significance and importance of these modern technologies in today's education system and their impact on the efficiency and effectiveness of learning Python.

List of references

  1. Ericson, Barbara, and Mark Guzdial. "Introduction to Computing and Programming in Python." Pearson, 2016.

  2. Severance, Charles. "Python for Everybody." University of Michigan, Coursera, 2017.

  3. Okken, Brian. "Python Testing with pytest." Pragmatic Bookshelf, 2017.

  4. Sweigart, Al. "Automate the Boring Stuff with Python." No Starch Press, 2015.

  5. Codecademy, - URL https://www.codecademy.com

  6. DataCamp, - URL https://www.datacamp.com

  7. LeetCode, - URL https://leetcode.com

  8. IDE для DataScience и веб – разработки на Python, - URL https://www.jetbrains.com/ru-ru/pycharm

  9. Visual Studio Code, - URL https://code.visualstudio.com

  10. Jupyter Notebook, - URL https://jupyter.org

  11. Coursera, - URL https://www.coursera.org

  12. Udemy, - URL https://www.udemy.com

  13. EdX, - URL https://www.edx.org

  14. GitHub, - URL https://github.com

  15. Heroku, - URL https://www.heroku.com

  16. Kaggle, - URL https://www.kaggle.com

  17. Google Colab, - URL https://colab.research.google.com

  18. Azure Notebooks, - URL https://www.pluralsight.com

About the Authors

Гүлсім Капбар
gkapbar@mail.ru
L.N.Gumilyov Eurasian National University
Elena Kim
lena.scarlet@mail.ru
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

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How to Cite

Using modern tools and technologies in learning Python. (2024). MMIT Proceedings, 62-66. https://doi.org/10.61587/mmit.tiue.uz.v1i1.137