Course detail

Programming in Python

FSI-VP0Acad. year: 2025/2026

Students will get acquainted with modern scripting language Python.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Jiří Kovář, Ph.D.

Department

Institute of Automation and Computer Science (ÚAI)

Entry knowledge

Fundamental level of programming in course 1IN (Informatics).

Rules for evaluation and completion of the course

The active participation and mastering the assigned task.
Education runs according to week schedules. Attendance at the seminars is required. The form of compensation of missed seminars is fully in the competence of a tutor.

Aims

To examine the topic of scripting language Python and designo of their applications. To understand GUI programming using Python.
Having successfully completed the course, students will be able to use knowledge and understanding of the nature of scripting and the role of scripting languages, the syntax and semantics of Python.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Harms, D., Macdonald, K.: Začínáme programovat v jazyce Python. Computer Press 2012, ISBN 80-7226-799-X. (CS)

Recommended reading

Burris, E.: Programming in the Large with Design Patterns, Pretty Print Press, 2012 (EN)
Scipy lecture notes [on-line 1.10.2019: http://www.scipy-lectures.org/] (EN)

Classification of course in study plans

  • Programme B-KSI-P Bachelor's 3 year of study, summer semester, compulsory-optional
  • Programme B-MET-P Bachelor's 1 year of study, summer semester, compulsory
    2 year of study, summer semester, compulsory
  • Programme N-AAE-P Master's 1 year of study, summer semester, elective
  • Programme N-MET-P Master's 1 year of study, summer semester, compulsory

Type of course unit

 

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Jiří Kovář, Ph.D.

Syllabus

1. Introduction, a brief history of programming languages, Python and PyCharm introduction
2. Basic statements, data types, operators, functions, modules, classes
3. Eexception handling
4. Regular expressions and Python
5. Modern object oriented programming, comparison with C/C++ and Java
6. Data structures, efficient implementation of search
7. Standard libraries in Python (1)
8. Standard libraries in Python (2)
9. Interfaces to system languages, using with Matlab.
10. Text processing, sorting
11. XML or JSON document processing, libraries for efficient storage and search
12. GUI programming
13. Conclusion

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Jiří Kovář, Ph.D.