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Day 5 – Functions, Scope, and Docstrings

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 🧰 Day 5 – Functions, Scope, and Docstrings 1. Learning Objectives By the end of Day 5, you will be able to: Define reusable functions with def to encapsulate engineering calculations. Understand the difference between local and global variable scope. Write docstrings to document what a function does (its purpose, parameters, and return value). Build a small library of AEC‑focused functions (moment of inertia, section modulus, U‑value check). Call functions with arguments and use return values in larger scripts. 2. Concept Explanation 2.1 Why Functions? Functions let you package a block of code that performs a specific task. You can then call it many times with different inputs. In AEC: Instead of rewriting the same formula for every beam, you write a function once. Functions make your code organised , testable , and reusable . You can share your library of design functions with colleagues. 2.2 Defining and Calling Functions def function_name(parameter1, par...
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Day 10 – Exception Handling and Debugging

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  🐞 Day 10 – Exception Handling and Debugging 1. Learning Objectives By the end of Day 10, you will be able to: Use try / except / else / finally blocks to handle runtime errors gracefully. Handle specific exception types ( FileNotFoundError , ValueError , ZeroDivisionError , KeyError ). Write robust code that doesn’t crash on messy input data or missing files. Use basic debugging techniques: print() debugging, reading tracebacks, and using pdb . Apply exception handling to real AEC scenarios (missing spreadsheet cells, division by zero in calculations, file import errors). 2. Concept Explanation 2.1 What Are Exceptions? Exceptions are errors that occur during program execution. When an exception is not handled, the program crashes with a traceback. Common AEC exceptions: Exception Common Cause in AEC FileNotFoundError Trying to open a CSV/Excel file that doesn’t exist ValueError User enters text where a number is expected ZeroDivisionError Dividing by zero ...
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Day 1 – Python Foundations for AEC Professionals

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    📐 Day 1 – Python Foundations for AEC Professionals 1. Learning Objectives By the end of Day 1, you will be able to: - Understand what Python is and why it’s used in architecture, engineering, and construction (AEC). - Install Python and set up a coding environment (VS Code or Jupyter). - Write your first Python script. - Use variables to store real‑world AEC data (room dimensions, material costs, etc.). - Work with basic data types: integers, floats, strings, booleans. - Perform simple arithmetic and string operations relevant to building design. 2. Concept Explanation 2.1 What is Python? Python is a high‑level, interpreted programming language known for its readability and vast ecosystem of libraries.     In the AEC world, Python is used to automate design calculations, generate parametric geometry, analyse structural systems, process BIM data (IFC), and script CAD/BIM tools (Rhino, Revit, Dynamo, Blender). Key benefits for AEC professionals: Rapid protot...
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