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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). |
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Навчальні та наукові видання видавництва СумДУ |
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File | Size | Format | Downloads |
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Shvets_Python.pdf | 1,79 MB | Adobe PDF | -1586037677 |
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