Data Structures & Collections
π Progress Tracking
TABLE WITHOUT ID
"π Progress" as " ",
length(filter(file.tasks, (t) => t.completed)) + "/" + length(file.tasks) + " tasks" as "Completed",
round(length(filter(file.tasks, (t) => t.completed)) / length(file.tasks) * 100) + "%" as "Progress"
WHERE file.path = this.file.pathπ Module Overview
Mastering Pythonβs built-in data structures and collections
Prerequisites: Python Fundamentals
π― Learning Objectives
- Master core data structures
- Master advanced operations
- Master string operations
π Tasks & Exercises
1. Core Data Structures
- Task 1.1: Master Lists: creation, indexing, slicing, methods
- Task 2.2: Learn Tuples: immutability, packing, unpacking
- Task 3.3: Understand Sets: unique elements, operations, methods
- Task 4.4: Master Dictionaries: key-value pairs, methods, iteration
Practice: Complete practical exercises for core data structures
2. Advanced Operations
- Task 1.1: Practice list comprehensions for efficient code
- Task 2.2: Learn generator expressions for memory efficiency
- Task 3.3: Master nested data structures and complex operations
- Task 4.4: Understand when to use each data structure type
Practice: Complete practical exercises for advanced operations
3. String Operations
- Task 1.1: Learn string methods and formatting
- Task 2.2: Master f-strings and string interpolation
- Task 3.3: Practice string manipulation and parsing
- Task 4.4: Understand string encoding and Unicode
Practice: Complete practical exercises for string operations
π Resources
Required Reading
Optional Materials
- Explore additional resources as needed
- Practice with real-world examples
- Join community discussions
β Completion Criteria
Mark this module complete when you can:
-
Successfully complete all core data structures tasks
-
Successfully complete all advanced operations tasks
-
Successfully complete all string operations tasks
-
Apply concepts in practical scenarios
-
Explain key concepts to others
π Notes Section
Use this space for your personal notes and insights while learning
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