ІНТЕЛЕКТУАЛЬНА СИСТЕМА АНАЛІЗУ ЕФЕКТИВНОСТІ ПРАЦІВНИКІВ ТА ФОРМУВАННЯ ЗВІТНОСТІ МЕРЕЖІ КАВ’ЯРЕНЬ НА ОСНОВІ ДАНИХ POS-СИСТЕМИ POSTER
Завантаження
Посилання
Laudon K. C., Laudon J. P. Management Information Systems: Managing the Digital Firm. 16th ed. Harlow: Pearson, 2020.
Sharda R., Delen D., Turban E. Business Intelligence, Analytics, and Data Science: A Managerial Perspective. 5th ed. Harlow: Pearson, 2020.
Pressman R. S., Maxim B. R. Software Engineering: A Practitioner’s Approach. 9th ed. New York: McGraw-Hill, 2019.
Sommerville I. Software Engineering. 10th ed. Boston: Pearson, 2016.
Fowler M. Refactoring: Improving the Design of Existing Code. 2nd ed. Boston: Addison-Wesley, 2018.
Martin R. C. Clean Code: A Handbook of Agile Software Craftsmanship. Upper Saddle River: Prentice Hall, 2008.
Gamma E., Helm R., Johnson R., Vlissides J. Design Patterns: Elements of Reusable Object-Oriented Software. Boston: Addison-Wesley, 1994.
Kleppmann M. Designing Data-Intensive Applications. Sebastopol: O’Reilly Media, 2017.
McKinney W. Python for Data Analysis. 3rd ed. Sebastopol: O’Reilly Media, 2022.
Downey A. B. Think Python: How to Think Like a Computer Scientist. 2nd ed. Needham: Green Tea Press, 2015.
Ramalho L. Fluent Python. 2nd ed. Sebastopol: O’Reilly Media, 2022.
Beazley D. M., Jones B. K. Python Cookbook. 3rd ed. Sebastopol: O’Reilly Media, 2013.
Han J., Kamber M., Pei J. Data Mining: Concepts and Techniques. 4th ed. Cambridge, MA: Morgan Kaufmann, 2022.
Cormen T. H., Leiserson C. E., Rivest R. L., Stein C. Introduction to Algorithms. 4th ed. Cambridge, MA: MIT Press, 2022.
Provost F., Fawcett T. Data Science for Business. Sebastopol: O’Reilly Media, 2013.
Abramov, V., Astafieva, M., Boiko, M., Bodnenko, D., Bushma, A., Vember, V., Hlushak, O., Zhyltsov, O., Ilich, L., Kobets, N., Kovaliuk, T., Kuchakovska, H., Lytvyn, O., Lytvyn, P., Mashkina, I., Morze, N., Nosenko, T., Proshkin, V., Radchenko, S., & Yaskevych, V. (2021). Theoretical and practical aspects of the use of mathematical methods and information technology in education and science. https://doi.org/10.28925/9720213284km