Embark on a vital segment of Python programming - Data Structures. This course will introduce you to Python's native data structures like lists, sets, dictionaries, and tuples. You will be proficient at crafting, managing, and deploying these data structures to make your code more efficient in dealing with data.
Overview
Syllabus
- Lesson 1: Evolving with Python Lists: Creation, Properties, and Operative Mastery
- Exploring Contacts in a List
- Rearranging the Contact List
- Troubleshooting the Contact List
- Completing the Contact List Management Code
- Crafting and Modifying the Space Crew Contact List
- Lesson 2: Unraveling Nested Lists in Python: A Beginner's Guide
- Updating a Grocery List with Nested Lists
- Switching Fruits in List Operations
- Alien Grocery List Decryption
- Updating the Cosmic Grocery List
- Manipulating Nested Lists: Automotive Edition
- Lesson 3: Mastering the Art of Python Tuples: From Creation to Operations
- Exploring Student Grades with Python Tuples
- Exploring Triple Repetition of Student Grades Tuple
- Fixing Student Record Concatenation
- Adding and Verifying New Student in the Class Record
- Creating and Combining Student Grades Tuples
- Lesson 4: Understanding Python Dictionaries: Creation, Operations, and Applications
- Observing Dictionary Changes in a School Information System
- Accessing Nested Dictionary Elements in School Data Structure
- Updating Teacher's Favorite Snacks in a Dictionary
- Fixing Classroom Chairs Information
- Adding Charlie's Fruits and Checking Dean's Preferences
- Adding, Accessing, and Deleting Nested Dictionary Elements
- Building and Updating a Student's Favorite Subjects Dictionary
- Lesson 5: Mastering the Galaxy of Python Sets: A Complete Guide for Beginners
- Joining the Fruits of Two Baskets
- Discovering Unique Fruits from Basket A
- Fixing the Unique Fruit Colors Operation
- Discovering Common Fruits in Two Baskets
- Identifying Unique Fruits and Alphabetical Ordering
- Lesson 6: Comparing and Contrasting Python's Key Data Structures
- Deduplication with Python Sets
- Fine-Tuning the Space Pantry Cleanup
- Space Supply List Clean Up
- Removing Duplicates from the Space Favorites
- Managing Space Exploration Equipments
