Python Basics – Bootcamp Exercises

This repository contains a set of introductory Python exercises completed as part of a software development bootcamp. The project focuses on Python core data types, virtual environments, developer tooling, and common workflows used in professional development.

Exercises Covered

1. Python Environment Inspection

• Created a Python script that imports the sys module
• Printed the Python version and executable path
• Confirmed the active virtual environment from the command line

2. Virtual Environments and Package Management

• Created and activated a Python virtual environment (.venv)
• Installed third-party packages using pip
• Generated and shared dependencies using requirements.txt
• Simulated a team workflow using pip freeze and pip install -r

3. Linting and Formatting

• Configured VS Code to use Pylint for static code analysis
• Observed warnings for unused variables and missing docstrings
• Enabled automatic formatting on save using autopep8

4. Virtual Environment Detection

• Created a script to detect whether Python is running inside a virtual environment
• Compared sys.prefix and sys.base_prefix to determine execution context

5. Formatter and Execution Workflow (UML)

• Created a UML sequence diagram illustrating:
  • Writing code in VS Code
  • Automatic formatting on save
  • Executing Python scripts in the integrated terminal

6. Core Python Data Types

• Explored Python core data types including:
  • int, float, str, bool
  • tuple, range
  • list, dict, set
• Used type() and id() to inspect object identity and behaviour

7. Mutable vs Immutable Data Types

• Investigated immutable data types (str, int, float, tuple, range, bool)
• Observed how reassignment creates new objects for immutable types
• Explored mutable data types (list, dict, set)
• Demonstrated in-place mutation and shared references
• Compared assignment vs object duplication using .copy()

8. Collections and Set Operations

• Worked with dictionaries to store and update key–value pairs
• Explored sets and their properties (uniqueness, membership testing)
• Used set operators:
  • Union (|)
  • Intersection (&)
  • Difference (-)

Tools and Technologies

• Python
• Virtual Environments (venv)
• pip
• VS Code
• Pylint
• autopep8
• Git & GitHub

Notes

• The virtual environment (.venv) is excluded from version control using .gitignore
• Project-specific VS Code settings are included to ensure consistent linting and formatting behaviour

---

This project demonstrates foundational Python concepts, object behaviour, and development workflows commonly used in professional software development.