How to Use For Loops and Iterate Over Data in Python
Автор: Correlation One
Загружено: 2026-01-22
Просмотров: 5
Описание:
In this session, you’ll learn how to use for loops in Python to iterate over data and automate repetitive tasks. This lesson covers loop syntax, iterating over different data structures, nested loops, file handling, and common list operations used in data analysis workflows.
You’ll learn how data analysts use loops to process datasets, read and write files, handle multiple files, and apply logic repeatedly across data.
Key Takeaways
Understand how for loops work in Python
Learn how to iterate over sequences such as lists, tuples, and sets
Understand loop syntax and the role of the loop variable
Learn how to read from and write to files using open()
Learn how to extract lines from files using readlines()
Learn how to save processed data
Understand how nested loops work
Learn how to append values to lists
Learn how to use glob to handle file path patterns
Chapters
00:00 Introduction to for loops in Python
06:40 Loop syntax and iterating over sequences
18:30 Iterating over lists, tuples, and sets
32:10 Understanding loop variables
45:20 Nested loops explained
58:30 Introduction to file handling with open()
1:10:40 Reading and writing files
1:22:30 Extracting lines using readlines()
1:32:40 List operations and append()
1:40:30 Using glob for file path patterns
1:47:40 Summary and next steps
Q&A
Q: What is a for loop in Python?
A: A for loop allows you to repeat an action for each item in a sequence.
Q: What does “for item in sequence” mean?
A: It means the variable item takes the value of each element in the sequence one at a time.
Q: What are nested loops?
A: Nested loops are loops placed inside other loops to handle multi-level iteration.
Q: How do data analysts use loops?
A: Data analysts use loops to process data, automate tasks, and work with files and datasets.
Q: What is glob used for in Python?
A: glob is used to match and work with multiple file paths using patterns.
Learning Path
This video is part of the Python Foundations for Data Analysis (Beginner Learning Path).
🔗 Watch the full playlist here: • How to Learn Python for Data Analysis (Beg...
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