INTEGRATING SQL WITH PYTHON FOR EFFICIENT DATA MANAGEMENT AND ANALYSIS

Авторы

  • Tuhtanazarov Dilmurod Solijonovich Автор

Аннотация

In today's data-driven world, efficient handling and processing of large datasets are crucial. SQL (Structured Query Language) is the standard language used to manage and manipulate relational databases, while Python, a high-level programming language, is widely recognized for its simplicity and versatility in data analysis, automation, and machine learning. When combined, SQL and Python form a powerful duo for data engineers, analysts, and developers, offering the ability to execute complex database queries seamlessly within Python scripts.

Биография автора

  • Tuhtanazarov Dilmurod Solijonovich

    International Islamic Academy of Uzbekistan, Tashkent, Uzbekistan.

Библиографические ссылки

REFERENCES

[1] Foster, D., & Walden, T. (2021). psycopg2 - PostgreSQL Database Adapter for Python. Retrieved from https://www.psycopg.org/docs/

[2] Allen, S. (2020). SQL for Data Scientists: A Beginner's Guide for Building Databases and Analyzing Data. Wiley.

[3] Ullman, J. D., & Widom, J. (2008). Database Systems: The Complete Book. Pearson Education.

[4] Patel, R. (2019). Python and SQL Integration: A Practical Guide. O'Reilly Media.

[5] https://www.sqlite.org/docs.html -SQLite Consortium. (2021). SQLite Documentation. Retrieved from

Опубликован

2024-12-04

Как цитировать

INTEGRATING SQL WITH PYTHON FOR EFFICIENT DATA MANAGEMENT AND ANALYSIS. (2024). Modern Education and Development, 15(5), 57-65. https://scientific-jl.org/mod/article/view/4754