Literatura
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1. T. Gaddis, *Starting Out with Python*. 6th edition, Pearson, 2023.
2. R. Sedgewick, K. Wayne, and R. Dondero, *Introduction to programming in Python: An Interdisciplinary Approach*. Addison-Wesley Professional, 2015.
3. J. V. Guttag, *Introduction to Computation and Programming Using Python: With Application to Computational Modeling and Understanding Data*. 3rd Edition MIT Press, 2021.
4. E. Matthes, *Python Crash Course* A Hands-On, Project-Based Introduction to Programming*. 3rd Edition, No Starch Press, 2023.
5. J. Anderson and J. Anderson, *Python Programming in context*. Jones & Bartlett Learning, 2024.
6. A. Sweigart, *Automate the Boring Stuff with Python: Practical Programming for Total Beginners*. 2nd Edition, No Starch Press, 2019.
7. J. Ernesti and P. Kaiser, *Python 3: The Comprehensive Guide*. Rheinwerk Computing, 2022.
8. A. Downey, *Think Python: How to Think Like a Computer Scientist*. 3rd Edition, O'Reilly Media, 2024.
9. L. Ramalho, *Fluent Python: Clear, Concise, and Effective Programming*. 2nd Edition, O'Reilly Media, 2022.
10. P. Deitel, P. J. Deitel, and H. Deitel, *Introduction to Python for the computer and data sciences: Learning to Program in a World of Big Data and AI*. Pearson, 2019.
11. A. Sweigart, *The big book of small Python projects: 81 Easy Practice Programs*. No Starch Press, 2021.
12. L. Vaughan, *Impractical Python projects: Playful Programming Activities to Make You Smarter*. No Starch Press, 2019.
13. P. Barry, *Head first Python: A Brain-Friendly Guide*. O’Reilly Media, 2023.
14. D. Kopec, *Classic Computer science problems in Python*. Manning Publications, 2019.
15. C. R. Severance, *Python for everybody: Exploring Data in Python 3*. 2016.
16. L. Porter and D. Zingaro, *Learn AI-assisted Python programming: With GitHub Copilot and ChatGPT*. Manning Publications, 2024.
17. D. Zingaro, *Learn to code by solving problems: A Python Programming Primer*. No Starch Press, 2021.
18. J. Murach and M. Urban, *Murach’s Python Programming*. 2nd Edition, 2021.