Python Project

Python Project

This course introduces Python programming to students who already have experience with procedural programming in C and object-oriented programming in C++.

The laboratories focus on the differences between C/C++ and Python, Python-specific programming concepts, and the development of a complete software project.

Throughout the course, familiar C/C++ constructs are compared directly with their Python equivalents.

Laboratories

• Lab 1 — Python for C/C++ Programmers
• Lab 2 — Object-Oriented Programming in Python
• Lab 3 — Modules, Packages, Files and Type Hints
• Lab 4 — Testing and Software Quality
• Lab 5 — Project Development I
• Lab 6 — Project Development II
• Lab 7 — Final Integration and Presentation

Course structure

The course consists of 7 laboratory meetings, each with a duration of 2 hours.

The first laboratories introduce the Python language and its software ecosystem, while the later meetings are primarily dedicated to the semester project.

Laboratory	Main topic	Type
Lab 1	Python for C/C++ programmers	Theory + exercises
Lab 2	Object-oriented programming and the Python object model	Theory + exercises
Lab 3	Modules, packages, files, exceptions and type hints	Theory + exercises
Lab 4	Testing, debugging and software quality	Theory + project
Lab 5	Project implementation	Project work
Lab 6	Testing, refactoring and documentation	Project work
Lab 7	Final integration, demonstration and code review	Project work + presentation

Semester project

During the course, students will develop a Python software project individually or in teams.

The project should demonstrate the ability to:

• organize a Python project into multiple modules;
• use appropriate Python data structures and language features;
• use external libraries where appropriate;
• handle invalid input and exceptional situations;
• write readable and maintainable code;
• use Git for version control;
• document the application;
• test the main functionality of the application.

The objective is not simply to translate C/C++ programs into Python, but to learn how to design and implement software using Python's own abstractions, conventions and ecosystem.

Recommended software

Students should have the following software available:

• Python 3;
• Git;
• a text editor or IDE;
• a terminal;
• access to the course Git repository.

Recommended development environments include:

• Visual Studio Code;
• PyCharm;
• any editor with Python and Git support.

Navigation

Start with:

Lab 1 — Python for C/C++ Programmers