(in Polish) Python Programming 510-IS1-1PJP-23-ENG
Course profile General academic
Form of study Full-time
Course language English
Course type obligatory courses
Field of science: natural sciences,
Discipline of science: computer science
Year/semester of study I/2
Prerequisites (sequential system of courses and exams):
Introduction to Structural Programming,
Number of course hours with forms of teaching
Lecture: 15 Exercise classes: 30
Teaching methods: lecture, tasks implemented in the laboratory classes,
Individual consultation with the teacher
Form of assessment: credit with a grade
ECTS: 4
Class attendance:
- lecture 15h
- exercise classes 30h
Course preparation:
- lecture 5h
- exercise classes 10h
Literature study: 5h
Reports, homework 10h
Preparation for tests 10h
Preparation for the exam 10h
Exam duration 1h
Individual consultation with the teacher 5h
Student workload:
- Direct interaction with the teacher: 50h, 2ECTS
- Not direct interaction with the teacher: 50h, 2ECTS
Type of course
Course coordinators
Bibliography
1.. Python data analytics: data analysis and science using Pandas, Matplotlib and the Python programming language, Fabio Nelli, Apress, 2015
2. A Beginners Guide to Python 3 Programming, John Hunt, Springer 2019
3. The Absolute Beginner's Guide to Python Programming A Step-by-Step Guide with Examples and Lab Exercises. Kevin Wilson Apress 2022
4. Python for Everybody. Exploring Data in Python 3. Charles R. Severance 2022 wyd.3
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: