Python and Data Science

Shvets, Uliana Stanislavivna; Kniaz, Ihor Oleksandrovych

Please use this identifier to cite or link to this item: https://essuir.sumdu.edu.ua/handle/123456789/86135

Or use following links to share this resource in social networks: Recommend this item

Title	Python and Data Science
Authors	Shvets, Uliana Stanislavivna Kniaz, Ihor Oleksandrovych
ORCID	http://orcid.org/0000-0002-1518-4047
Keywords	python conditional flow loop string treatment list function data analysis умовний потік цикл обробка рядків список функція аналіз даних условный поток обработка строк функция анализ данных
Type	Learning Object
Date of Issue	2021
URI	https://essuir.sumdu.edu.ua/handle/123456789/86135
Publisher	Sumy State University
License	Copyright not evaluated
Citation	Shvets, U. Python and Data Science [Електронний ресурс] : lecture notes / U. Shvets, I. Knyaz’. — Sumy : Sumy State University, 2021. — 101 р.
Abstract	Python is an easy to learn, powerful programming language. It has efficient high-level data structures. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, https://www.python.org/, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C).
Appears in Collections:	Навчальні та наукові видання видавництва СумДУ