๐Ÿ› ๏ธ Day 3 โ€“ Python Functions & Functional Power

๐Ÿ“ฐ Dev.to AI

Learn to create reusable and modular Python functions with flexible parameters and variable scope

intermediate Published 15 Jul 2026
Action Steps
  1. Define a Python function with default and keyword-only parameters using the syntax `def function_name(param1, param2='default_value')`
  2. Use the `*args` and `**kwargs` syntax to handle variable numbers of arguments
  3. Understand the rules of variable scope in Python to avoid common pitfalls
  4. Create a higher-order function that takes another function as an argument to demonstrate first-class citizen functionality
  5. Apply functional programming principles to create dynamic utilities
Who Needs to Know This

Software engineers and developers can benefit from this lesson to improve their coding skills and create more efficient programs

Key Insight

๐Ÿ’ก Python functions can be treated as first-class citizens, enabling the creation of highly dynamic utilities

Share This
๐Ÿš€ Take your Python skills to the next level with reusable and modular functions! ๐Ÿ› ๏ธ

Key Takeaways

Learn to create reusable and modular Python functions with flexible parameters and variable scope

Full Article

Welcome to Day 3! Today, we transition from writing basic scripts to building reusable, modular, and highly flexible building blocks . We will look at how Python handles arguments, the strict rules of variable scope, and how functions can be treated as first-class citizens to create highly dynamic utilities. ๐Ÿš€ 1. Parameters & Arguments (Default & Keyword-Only) โš™๏ธ In Python, you can define parameters that make your functions incredibly flexible. <
Read full article โ†’ โ† Back to Reads

Related Videos

Generative vs Discriminative Models - Explained
Generative vs Discriminative Models - Explained
DataMListic
Class 14 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260503 133253 Meeting Recording
Class 14 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260503 133253 Meeting Recording
Karthik Sundara Rajan
Class 13 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260426 133418 Meeting Recording
Class 13 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260426 133418 Meeting Recording
Karthik Sundara Rajan
Class 15 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260510 133228 Meeting Recording
Class 15 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260510 133228 Meeting Recording
Karthik Sundara Raajan
Class 12 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260425 133139 Meeting Recording
Class 12 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260425 133139 Meeting Recording
Karthik Sundara Rajan
Class 11 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260412 133157 Meeting Recording
Class 11 Machine Learning ( S 2 25 AIMLZG 565) Prof. Kiruthiga A R 20260412 133157 Meeting Recording
Karthik Sundara Rajan