Using modern tools and technologies in learning Python
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.
About the Authors
List of references
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Severance, Charles. "Python for Everybody." University of Michigan, Coursera, 2017.
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Sweigart, Al. "Automate the Boring Stuff with Python." No Starch Press, 2015.
Codecademy, - URL https://www.codecademy.com
DataCamp, - URL https://www.datacamp.com
LeetCode, - URL https://leetcode.com
IDE для DataScience и веб – разработки на Python, - URL https://www.jetbrains.com/ru-ru/pycharm
Visual Studio Code, - URL https://code.visualstudio.com
Jupyter Notebook, - URL https://jupyter.org
Coursera, - URL https://www.coursera.org
Udemy, - URL https://www.udemy.com
EdX, - URL https://www.edx.org
GitHub, - URL https://github.com
Heroku, - URL https://www.heroku.com
Kaggle, - URL https://www.kaggle.com
Google Colab, - URL https://colab.research.google.com
Azure Notebooks, - URL https://www.pluralsight.com