PV248 Python

Faculty of Informatics
Autumn 2019
Extent and Intensity
1/1. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Petr Ročkai, Ph.D. (lecturer)
RNDr. Petr Ročkai, Ph.D. (seminar tutor)
Mgr. Zuzana Baranová (assistant)
Mgr. Lukáš Korenčik (assistant)
Guaranteed by
RNDr. Petr Ročkai, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics
Timetable
each odd Thursday 12:00–13:50 A217
  • Timetable of Seminar Groups:
PV248/ind: No timetable has been entered into IS.
PV248/01: each odd Thursday 14:00–15:50 B130, P. Ročkai
PV248/02: each odd Thursday 16:00–17:50 B130, P. Ročkai
Prerequisites
Basic programming skills in Python (at least to the extent covered in IB111).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 60 student(s).
Current registration and enrolment status: enrolled: 0/60, only registered: 0/60, only registered with preference (fields directly associated with the programme): 0/60
fields of study / plans the course is directly associated with
there are 38 fields of study the course is directly associated with, display
Course objectives
The goal of this subject is to teach students the specifics of programming in Python, mainly on with practical exercises. During the semester, students will work on programming assignments, which will focus on the material covered in the lectures.
By the end of the course, students will:
* understand the basics of object-oriented design and implementation in Python
* be acquainted with the standard library
* understand the basics of problem decomposition and robust implementation
Learning outcomes
Student will be able to:
- program in the Python programming language
- understand Python code written by others
- find and use the information needed for Python development
- test their programs written in Python
Syllabus
  • 1. Introduction, text, regular expressions
  • 2. Objects and classes
  • 3. Testing and debugging
  • 4. Persistent data
  • 5. Working with numeric data
  • 6. Memory and data model
  • 7. Lambda, iteration, decorators
  • 8. Lexical closures, carcasses
  • 9. Modules and packages
  • 10. Concurrency, exceptions
  • 11. Communication, HTTP
  • 12. Asyncio Library
Literature
    recommended literature
  • LUTZ, Mark. Programming Python. 4th ed. Sebastopol, California: O'Reilly, 2010, 1632 pp. info
Teaching methods
exercises, homework, projects
Assessment methods
activity in exercises, homework evaluation, and project
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2020, Autumn 2021, Autumn 2022.
  • Enrolment Statistics (Autumn 2019, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2019/PV248