Introduction to Python - M445023
Title: Úvod do Pythonu
Guaranteed by: Department of Mathematics, Informatics and Cybernetics (446)
Faculty: Faculty of Chemical Engineering
Actual: from 2023
Semester: winter
Points: winter s.:5
E-Credits: winter s.:5
Examination process: winter s.:
Hours per week, examination: winter s.:1/3, MC [HT]
Capacity: 29 / 29 (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Level:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Vrba Jan Ing. Ph.D.
Classification: Informatics > Programming
Examination dates   
This subject contains the following additional online materials
Annotation -
The course Introduction to Python provides a basic overview of the possibilities of Python and its possible applications. Students will learn about data structures, program flow control, and basic Python features, including creating documentation, working with the versioning system, testing code, and using the numpy and matplotlib packages.
Last update: Hrnčiřík Pavel (17.06.2020)
Aim of the course -

Students will be able to:

Know the basics of Python programming language and general principles of object-oriented approach.

Independently create a simple application, e.g. for processing, evaluation and visualization of experimental data.

Work with the versioning system.

Use unit testing.

Write and generate standard documentation for your programs.

Last update: Hrnčiřík Pavel (17.06.2020)
Course completion requirements - Czech

Splnění průběžných a zápočtových testů, obhajoba individuálního projektu.

Last update: Hrnčiřík Pavel (17.06.2020)
Literature -

Z: Mark SUMMERFIELD, Python 3, Albatros Media, Praha, 2014.

Last update: Hrnčiřík Pavel (17.06.2020)
Requirements to the exam - Czech

Splnění průběžných a zápočtových testů, obhajoba individuálního projektu.

Last update: Hrnčiřík Pavel (17.06.2020)
Syllabus -

1 Versioning, Primitive variables and their types, strings, basic functions.

2 Container variables (list, dict, set, tuple).

3 Basic operators and comparisons.

4 Conditions, loops.

5 Functions including functions with multiple arguments, optional arguments, kwargs, * args.

6 Classes and objects, modules and packages and basics of PPE access.

7 Serialization, lambda functions, maps, filter, files.

8 Project.

9 Docstrings and automatic documentation generation, regular expressions.

10 Generators, list comprehension.

11 Exceptions, code testing.

12 Decorators.

13 Numpy module and mathematics in Python.

14 Data visualization using the matplotlib module.

Last update: Hrnčiřík Pavel (17.06.2020)
Learning resources -

Electronic teaching materials for the course.

Last update: Hrnčiřík Pavel (17.06.2020)
Registration requirements -

None.

Last update: Hrnčiřík Pavel (17.06.2020)
Teaching methods
Activity Credits Hours
Konzultace s vyučujícími 0.4 10
Účast na přednáškách 0.5 14
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 1.2 34
Práce na individuálním projektu 1.4 40
Účast na seminářích 1.5 42
5 / 5 140 / 140