Programming in Python 1

Garant předmětu:

Jakub Klinkovský

Lecturer:

Jakub Klinkovský, Matej Mojzeš

Tutor:

Jakub Klinkovský, Matej Mojzeš

Supervisor:

Department of Software Engineering

Synopsis:

This course introduces students to advanced features of the Python language and common scientific packages. The course covers both object-oriented as well as functional programming paradigms. The following part of the course describes the use of Python in the fields of scientific and technical computing (NumPy and SciPy packages), data processing and visualization.

Requirements:

Syllabus of lectures:

1.Using Jupyter notebook and Jupyter Lab environments

2.Object-oriented programming in Python (basic concepts, classes, attributes, methods)

3.Functional programming in Python (map, filter, reduce, zip, lambda expressions, …)

4.Source code testing, introduction to the PyTest and Hypothesis packages

5.Source code documentation, conventions for writing docstrings and typing

6.Introduction to the NumPy and SciPy packages (ndarray, broadcasting, vectorization)

7.Data processing and analysis using the pandas package

8.Data visualization using the matplotlib and seaborn packages

9.Creating web applications using the Streamlit framework

10.Data export, working with JSON, XML, CSV and Parquet data formats

11.Working with SQL databases

12.Distributed computing with PySpark

13.Creating CLI (argparse) and API (Flask/FastAPI)

Syllabus of tutorials:

Study Objective:

Study materials:

Recommended literature:

[1] J. Kubias, Programování v jazyce Python 3 (How to Think Like a Computer Scientist: Learning with Python), online, 2023. http://howto.py.cz

[2] R. Pecinovský, Python 3.11 – Knihovny pro práci s daty, Grada, 2022. ISBN 978-80-271-0659-2.

[3] M. Pilgrim, Ponořme se do Python(u) 3 (Dive into Python 3), CZ.NIC, 2010. ISBN 978-80-904248-2-1. https://knihy.nic.cz/#Python3

Supplementary literature:

[1] P. Wentworth, J. Elkner, A.B. Downey, C. Meyers, How to Think Like a Computer Scientist: Learning with Python, 2nd Edition, Green Tea Press, 2012. ISBN 9781491939369. https://www.ict.ru.ac.za/Resources/cspw/thinkcspy3/

[2] J. Guttag, Introduction to Computation and Programming using Python (With Application Computational Modeling and Understanding Data), 3rd edition, The MIT Press, 2021. ISBN 9780262542364.

[3] Nauč se Python! https://naucse.python.cz/courses/

Note:

Time-table for winter semester 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

Time-table is not available yet

The course is a part of the following study plans:

• Aplikace informatiky v přírodních vědách (compulsory course in the program)
• Aplikované matematicko-stochastické metody (elective course)
• Aplikovaná informatika (elective course)
• Fyzikální inženýrství - Inženýrství pevných látek (elective course)