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= Python Project =
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This course introduces Python programming to students who already have experience with procedural programming in C and object-oriented programming in C++.
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The laboratories focus on the differences between C/C++ and Python, Python-specific programming concepts, and the development of a complete software project.
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== Laboratories ==
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* [[Lab 1|Lab 1 — Python for C/C++ Programmers]]
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* [[Lab 2|Lab 2 — Object-Oriented Programming in Python]]
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* [[Lab 3|Lab 3 — Modules, Packages, Files and Type Hints]]
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* [[Lab 4|Lab 4 — Testing and Software Quality]]
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* [[Lab 5|Lab 5 — Project Development I]]
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* [[Lab 6|Lab 6 — Project Development II]]
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* [[Lab 7|Lab 7 — Final Integration and Presentation]]
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== Course structure ==
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The course consists of '''7 laboratory meetings''', each with a duration of '''2 hours'''.
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The first laboratories introduce the Python language and its software ecosystem, while the later meetings are primarily dedicated to the semester project.
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{| class="wikitable" style="width:100%;"
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! Laboratory
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! Main topic
 +
! Type
 +
|-
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| [[Lab 1]]
 +
| Python for C/C++ programmers
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| 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
 +
|-
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| [[Lab 4]]
 +
| Testing, debugging and software quality
 +
| Theory + project
 +
|-
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| [[Lab 5]]
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| Project implementation
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| Project work
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|-
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| [[Lab 6]]
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| Testing, refactoring and documentation
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| Project work
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|-
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| [[Lab 7]]
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| Final integration, demonstration and code review
 +
| Project work + presentation
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|}
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== Semester project ==
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During the course, students will develop a Python software project individually or in teams.
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The project should demonstrate the ability to:
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* organize a Python project into multiple modules;
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* use appropriate Python data structures and language features;
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* use external libraries where appropriate;
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* handle invalid input and exceptional situations;
 +
* write readable and maintainable code;
 +
* use Git for version control;
 +
* document the application;
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* 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 ==
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Students should have the following software available:
 +
 
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* Python 3;
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* Git;
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* 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.

Versiunea curentă din 14 septembrie 2026 05:54

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.

Laboratories

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.
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