This folder contains hands-on exercises and engineering examples to practice the Python essentials covered in the course modules.

Before running these notebooks, install the project dependencies:

# Install uv (if not already installed)
Invoke-WebRequest -Uri https://astral.sh/uv/install.ps1 -OutFile install.ps1
powershell -ExecutionPolicy Bypass -File .\install.ps1

# Navigate to project root
cd flocode-python-essentials

# Sync dependencies
uv sync

Module 05 Practice

• Variables and data types
• Arithmetic operations
• Order of operations
• String formatting
• Material stress calculations

Module 06 Practice

• Lists of beam data
• List comprehensions for filtering
• Dictionaries for beam properties
• Sets for material tracking
• Tuples for fixed records
• Load combination dictionaries

Module 07 Practice

• Conditional beam checks
• For loops processing loads
• While loops for iterative design
• Break and continue logic
• Exception handling
• Nested loops for combinations

Module 08 Practice

• Simple calculation functions
• Default parameters
• Returning multiple values
• Conditional logic in functions
• Processing lists with functions
• Lambda functions for transformations
• Modular program structure

Comprehensive Workshop

Complete engineering workflows combining all Python essentials:

• Material database management
• Beam analysis library
• Section property calculations
• Batch processing with iteration
• Iterative design optimization
• Load combinations
• Data visualization with Matplotlib
• Full project analysis pipeline

This notebook demonstrates real-world patterns you'll use daily as an engineering Python developer.

1. Work sequentially - Start with 01 and progress through each notebook
2. Type the code yourself - Don't just read it; run it and modify it
3. Break things - Change values, remove lines, see what errors you get
4. Add your own examples - Extend each notebook with your own engineering problems
5. Keep notes - Add markdown cells documenting what you learned

1. Open a notebook file
2. Select the kernel (top right): choose the .venv Python interpreter
3. Run cells with Shift + Enter

uv run jupyter lab

Navigate to the examples/ folder and open any notebook.

• Check the main course modules (01-housekeeping.md through 08-functions.md)
• Review Python documentation: https://docs.python.org/3/
• Ask questions in the Flocode community

Remember: The best way to learn is to solve problems that matter to you. Use these notebooks as templates, then build your own engineering tools.

(c) Flocode, 2025