A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

NI-PYT	Advanced Python			Extent of teaching:	3C
Instructor:				Completion:	KZ
Department:	18102	Credits:	4	Semester:	Z

Annotation:
The goal of this course is to learn various advanced techniques and methods in Python. The course indirectly continues where Programming in Python (BI-PYT) left of. The course is very hands-on and it has only tutorials, everything is demonstrated on examples. Classification is based on work in class as well as semestral coursework. The course is lead by external teachers from Red Hat.

Lecture syllabus:
There are not lectures.

Seminar syllabus:

1.		Knihovny requests a click
2.		Webové aplikace ve frameworku Flask
3.		Tvorba redistributovatelných modulů (setuptools, pip, PyPI)
4.		Testování (py.test, flexmock, betamax)
5.		Dokumentace (Sphinx, doctest, Restructured Text)
6.		Datová analýza v Pythonu (Pandas)
7.		Matematika a steganografie v Pythonu (NumPy)
8.		Nativní moduly (C API, Cython)
9.		GUI v Pythonu (PyQt)
10.		Asynchronní procedury (asyncio)
11.		Další pokročilé technicky (deskriptory, metatřídy, importlib)
12.		Internet of Things v Pythonu (MicroPython)
13.		Rezerva

Literature:
Grinberg, Miguel: Flask Web Development. O'Reilly Media, 2014. ISBN 978-1-4493-7262-0 Percival, Harry J.W.: Test-Driven Development with Python. O'Reilly Media, 2014. ISBN 978-1-4493-6482-3 McKinney, Wes: Python for Data Analysis, Data Wrangling with Pandas, NumPy, and IPython. O'Reilly Media, 2012. 978-1-4493-1979-3 Idris, Ivan: NumPy: Beginner's Guide, Third Edition. Packt Publishing, 2015. 978-1-7852-8196-9 Smith, Kurt W.: Cython, A Guide for Python Programmers. O'Reilly Media, 2015. ISBN 978-1-4919-0155-7 Palach, Jan: Parallel Programming with Python. Packt Publishing, 2014. ISBN 978-1-7832-8839-7 Summerfield, Mark: Rapid GUI Programming with Python and Qt. Prentice Hall, 2007. ISBN 978-0-1323-5418-9

Requirements:
Předpokládá se znalost programování v Pythonu na úrovni BI-PYT; znalost programování v jazyce C na úrovni BI-PA1; znalost matematiky na úrovni absolvování bakalářského programu informatika. Znalost gitu výhodou.

Předmět je ekvivalentní s MI-PYT // Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/MI-PYT/. Tento předmět obsahově navazuje na bakalářský předmět Programování v Pythonu

The course is also part of the following Study plans:

Study Plan Study Branch/Specialization Role Recommended semester NI-PB.2020 Computer Security V Není NI-ZI.2020 Knowledge Engineering V Není NI-SPOL.2020 Unspecified Branch/Specialisation of Study V Není NI-TI.2020 Computer Science V Není NI-TI.2023 Computer Science V Není NI-NPVS.2020 Design and Programming of Embedded Systems V Není NI-PSS.2020 Computer Systems and Networks V Není NI-MI.2020 Managerial Informatics V Není NI-SI.2020 Software Engineering (in Czech) V Není NI-SP.2020 System Programming V Není NI-WI.2020 Web Engineering V Není NI-SP.2023 System Programming V Není

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Page updated 19. 4. 2024, semester: L/2020-1, L/2021-2, Z/2023-4, Z/2024-5, Z/2019-20, Z/2022-3, L/2019-20, L/2022-3, Z/2020-1, Z/2021-2, L/2023-4, Send comments to the content presented here to Administrator of study plans

Design and implementation: J. Novák, I. Halaška