Python Data Structures and OOP
Master lists, dictionaries, sets, comprehensions, classes, inheritance, and modules — the foundation for every Python framework.
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About This Course
Course Curriculum
12 Lessons
Lists and Tuples
List creation, indexing, slicing, methods (append/extend/insert/remove/pop/sort), iteration with for/enumerate/zip, tuples as immutable sequences, tuple unpacking
Lists and Tuples - Lab Exercises
List creation, indexing, slicing, methods (append/extend/insert/remove/pop/sort), iteration with for/enumerate/zip, tuples as immutable sequences, tuple unpacking, when to use which
Dictionaries and Sets
Dict creation, access, methods, iterating dicts, nested dicts, sets for unique collections, set operations, choosing the right data structure
Dictionaries and Sets - Lab Exercises
Dict creation, access with [] and .get(), methods (keys/values/items/update/pop), iterating dicts, nested dicts, sets for unique collections, set operations (union/intersection/difference), choosing the right data structure
List Comprehensions and Generators
List comprehensions with filtering, dict and set comprehensions, generator expressions, yield, lazy evaluation, memory efficiency
List Comprehensions and Generators - Lab Exercises
List comprehensions with filtering, dict comprehensions, set comprehensions, generator expressions with yield, lazy evaluation, memory efficiency, readability guidelines
Classes and Objects
class, __init__, self, instance attributes, methods, __str__/__repr__, @property, class vs instance attributes
Classes and Objects - Lab Exercises
class keyword, __init__, self, instance attributes, methods, __str__ and __repr__, @property decorators, class vs instance attributes
Inheritance and Composition
Single inheritance with super(), method overriding, abstract base classes, composition (has-a vs is-a), design guidelines
Inheritance and Composition - Lab Exercises
Single inheritance with super(), method overriding, abstract base classes (ABC/abstractmethod), composition (has-a vs is-a), design guidelines for when to use each
Modules Packages and Imports
Modules as .py files, import/from import/as, __name__ guard, packages with __init__.py, standard library highlights
Modules Packages and Imports - Lab Exercises
Modules as .py files, import/from import/as, __name__ == __main__, packages with __init__.py, standard library highlights (pathlib, json, datetime, collections)
This course includes:
- 24/7 AI Instructor Support
- Live Lab Environments
- 6 Hands-on Lessons
- 6 Months Access
- Completion Badge
- Certificate of Completion
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Python Data Structures and OOP
Awarded for completing the Python Data Structures and OOP course. Demonstrates proficiency in lists, dictionaries, sets, comprehensions, classes, inheritance, and modules.
Skills You'll Earn
Complete all lessons in this course to earn this badge