Looping Through Lists in Python
If you're starting out with data analysis or writing Python scripts to handle real datasets, you'll quickly realize how central loops are to getting things done. From filtering rows to checking conditions, looping through lists is a daily task for anyone working with data.
This guide walks you through not just how for and while loops work in Python, but when and why to use each. Along the way, you'll apply these concepts to real datasets, including Uber driver data, so you can see how looping helps make sense of real-world scenarios.
What Will You Learn From This Guide?
- A solid understanding of Python’s
forandwhileloops - Loop control tools like
break,continue, andelseclauses - How to loop through lists, dictionaries, and nested data
- Practical examples using real datasets (e.g. filtering drivers, combining lists)
- Advanced techniques like list comprehensions, generators, and nested loops
- Hands-on challenges to apply what you've learned
Who Is This Guide For?
- Aspiring data analysts and developers learning to work with real data
- Python learners who want to improve code clarity and logic
- Job seekers and bootcamp grads preparing for coding interviews
- Anyone who’s written a messy loop and thought, “There must be a better way”
If you want to go beyond just writing loops and really understand how they help structure clean, effective code, you're in the right place.