Introduction to programming in Python - ZIP 0508-IPP-OG-ZIP
Classes are offered as part of the Integrated Development Programme of the University of Warsaw (ZIP), co-financed by the European Social Fund under POWER 3.5. The rules for the use of general university courses for PhD students within the ZIP framework (UW PhD Students' Regulations) are available at: www.zip.uw.edu.pl.
The course is a very practical one. We will learn the basics of programming in Python by creating programs at each meeting.
The course enables acquiring analytical and Python programming competencies and gives participants insight into the English vocabulary from the computer science domain.
Topics presented during the course:
• Algorithms and programs,
• Use of modern IDEs (with PyCharm as an example),
• Basic IO in Python,
• Variables and assignments,
• Functions and parameters,
• Control structures (conditional statements and loops),
• Data types in Python,
• Introduction to version control with Git,
• Debugging in case of small programs,
• Introduction to Linux command line.
The course has 30 teaching hours (7*4h + 1*2h meetings).
Introductory Python programming classes for beginners. No prior knowledge of Python is required, but some programming skills in any programming language are recommended.
The teacher for many years has had the pleasure of teaching programming (and not only) during numerous classes at the University of Warsaw (and not only), mainly at the Faculty of Mathematics, Informatics and Mechanics (and not only).
Rodzaj przedmiotu
Założenia (opisowo)
Efekty kształcenia
The course does not assume any previous knowledge of Python but some previous experience with programming (in any programming language) is highly recommended.
Kryteria oceniania
Programs written during classes
Literatura
- Python Programming: an introduction to Computer Science, 3rd ed. John Zelle, 2016.
- Python Crash Course, a hands-on, project-based introduction to programming, 2nd ed. Eric Matthes, 2019.
- Learning Python, Mark Lutz, 5th ed., 2013.
- Programming Python, Mark Lutz, 4th ed., 2011.
- https://docs.python.org/.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: