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Second part of the introductional programming course. Students will gain knowledge of basic programming techniques and algorithms. Programming language of the course is Python.
Last update: Kubová Petra (12.07.2019)
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R: Töpfer, Pavel: "Algoritmy a programovací techniky". Prometheus, Praha 2010 (1995). ISBN 978-80-7196-350-9 R: Necaise, Rance D.: "Data Structures and Algorithms Using Python". John Wiley & Sons, 2011. ISBN 978-0-470-61829-5 R: Turzík, Daniel; Pavlíková, Pavla: "Diskrétní matematika". VŠCHT, Praha 2007. ISBN 978-80-7080-667-8 A: Koubková, Alena; Koubek, Václav: "Datové struktury I". Matfyzpress, Praha 2011. ISBN 978-80-7378-166-8 A: Matoušek, Jiří; Nešetřil, Jaroslav: "Kapitoly z diskrétní matematiky". Karolinum, Praha 2010. ISBN 978-80-2461-740-4 A: Koubková, Alena; Pavelka, Jan: "Úvod do teoretické informatiky". Matfyzpress, Praha 2003. ISBN 80-85863-83-9 A: Scott, Michael L.: "Programming Language Pragmatics". Morgan Kaufmann, 2009. ISBN 978-0123745149 A: Aho, Alfred V.; Lam, Monica S.; Sethi, Ravi; Ullman, Jeffrey D.: "Compilers -- Principles, Techniques, & Tools (Second Edition)". Pearson Education, 2007. ISBN 978-0321486813 Last update: Kubová Petra (12.07.2019)
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Zápočet -- praktický projekt na komplexnější aplikace probrané látky Zkouška -- teoretický test (Python+brainfuck) plus praktická část (Python; komplexnější série úkolů) Při praktické části je povoleno používat libovolné zdroje. Last update: Kubová Petra (12.07.2019)
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1. binary data & image file format PNM 2. introduction to Mercurial and other DVCS 3. unit-tests, doc-tests 4. modules & classes 5. programming language brainfuck 6. regexps 7. decorators 8. generators & iterators 9. image file format PNG 10. more on classes 11. basic data structures - buffer, queue, array, linked list 12. graphs and trees & sorting algorithms 13. applications 14. bytecode of CPython interpreter Last update: Kubová Petra (12.07.2019)
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http://Python.org http://DiveIntoPython3.net (Czech translation at http://DiveIntoPython3.py.cz) Last update: Kubová Petra (12.07.2019)
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Students will be able to: Understand advanced properties of Python programming language. Understand basic methods of processing and manipulation of selected binary formats (PNM, PNG, ...). Use basic properties of distributed concurrent versioning systems (Mercurial, git). Apply test-driven development. Have insights into basic programming structures (buffer, queue, graph, tree) and algorithms (sorting). Last update: Kubová Petra (12.07.2019)
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Fundamentals of Programming (or similar introductory programming course; at least basic knowledge of Python programming language is expected) Last update: Znamenáček Jiří (27.02.2024)
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