Advanced Python: Algorithms & Data Structures
Enhances Python skills with challenges in algorithms and data structures for problem‑solving.
Description : Focused on advanced Python, students tackle algorithmic challenges and data structure problems, building a solid foundation for computational thinking and problem‑solving.
Category : Coding & Engineering
Age : 10+
Difficulty Level : Normal
Curriculum :
Module 1: Python Basics and Setup Section 1: Introduction to Python Environment - Lesson 1: Installing Python and Setting Up - Module 1, Section 1, Lesson 1 Installing Python and Setting Up - Lesson 2: Navigating an IDE - Module 1, Section 1, Lesson 2 Navigating an IDE Section 2: Python Syntax and Semantics - Lesson 1: Understanding Variables and Data Types - Module 1, Section 2, Lesson 1 Understanding Variables and Data Types - Lesson 2: Writing Simple Statements and Expressions - Module 1, Section 2, Lesson 2 Writing Simple Statements and Expressions Section 3: Control Flow Fundamentals - Lesson 1: Introduction to Conditional Statements - Module 1, Section 3, Lesson 1 Introduction to Conditional Statements - Lesson 2: Basic Loops and Iteration - Module 1, Section 3, Lesson 2 Basic Loops and Iteration Section 4: Functions and Modules - Lesson 1: Defining and Calling Functions - Module 1, Section 4, Lesson 1 Defining and Calling Functions - Lesson 2: Importing and Using Modules - Module 1, Section 4, Lesson 2 Importing and Using Modules Section 5: Error Handling and Debugging - Lesson 1: Identifying and Fixing Syntax Errors - Module 1, Section 5, Lesson 1 Identifying and Fixing Syntax Errors - Lesson 2: Introduction to Debugging Techniques - Module 1, Section 5, Lesson 2 Introduction to Debugging Techniques Module 2: Data Structures Fundamentals Section 1: Basic Data Structures Overview - Lesson 1: Lists and Their Operations - Module 2, Section 1, Lesson 1 Lists and Their Operations - Lesson 2: Tuples and When to Use Them - Module 2, Section 1, Lesson 2 Tuples and When to Use Them Section 2: Exploring Dictionaries - Lesson 1: Understanding Key-Value Pairs - Module 2, Section 2, Lesson 1 Understanding Key-Value Pairs - Lesson 2: Basic Dictionary Methods - Module 2, Section 2, Lesson 2 Basic Dictionary Methods Section 3: Working with Sets - Lesson 1: Creating and Managing Sets - Module 2, Section 3, Lesson 1 Creating and Managing Sets - Lesson 2: Set Operations and Use Cases - Module 2, Section 3, Lesson 2 Set Operations and Use Cases Section 4: Strings and Their Methods - Lesson 1: Manipulating Text with Strings - Module 2, Section 4, Lesson 1 Manipulating Text with Strings - Lesson 2: String Formatting and Slicing - Module 2, Section 4, Lesson 2 String Formatting and Slicing Section 5: Composite Data Structures - Lesson 1: Nested Data Structures - Module 2, Section 5, Lesson 1 Nested Data Structures - Lesson 2: Converting Between Data Structures - Module 2, Section 5, Lesson 2 Converting Between Data Structures Module 3: Algorithms Essentials Section 1: Introduction to Algorithms - Lesson 1: What is an Algorithm? - Module 3, Section 1, Lesson 1 What is an Algorithm? - Lesson 2: Step-by-Step Problem Solving - Module 3, Section 1, Lesson 2 Step-by-Step Problem Solving Section 2: Sorting Fundamentals - Lesson 1: Basic Sorting Concepts - Module 3, Section 2, Lesson 1 Basic Sorting Concepts - Lesson 2: Implementing a Simple Bubble Sort - Module 3, Section 2, Lesson 2 Implementing a Simple Bubble Sort Section 3: Searching Techniques - Lesson 1: Linear Search Technique - Module 3, Section 3, Lesson 1 Linear Search Technique - Lesson 2: Introduction to Binary Search - Module 3, Section 3, Lesson 2 Introduction to Binary Search Section 4: Recursion Basics - Lesson 1: Understanding Recursion - Module 3, Section 4, Lesson 1 Understanding Recursion - Lesson 2: Using Recursion for Simple Problems - Module 3, Section 4, Lesson 2 Using Recursion for Simple Problems Section 5: Algorithm Efficiency and Complexity - Lesson 1: Basics of Time Complexity - Module 3, Section 5, Lesson 1 Basics of Time Complexity - Lesson 2: Comparing Algorithm Performance - Module 3, Section 5, Lesson 2 Comparing Algorithm Performance Module 4: Problem Solving Techniques Section 1: Decomposing Problems - Lesson 1: Breaking Down Problems into Steps - Module 4, Section 1, Lesson 1 Breaking Down Problems into Steps - Lesson 2: Mapping Out a Plan with Pseudocode - Module 4, Section 1, Lesson 2 Mapping Out a Plan with Pseudocode Section 2: Working with Flowcharts - Lesson 1: Introduction to Flowchart Symbols - Module 4, Section 2, Lesson 1 Introduction to Flowchart Symbols - Lesson 2: Creating a Simple Flowchart - Module 4, Section 2, Lesson 2 Creating a Simple Flowchart Section 3: Debugging and Testing Strategies - Lesson 1: Writing Test Cases - Module 4, Section 3, Lesson 1 Writing Test Cases - Lesson 2: Manual Debugging Strategies - Module 4, Section 3, Lesson 2 Manual Debugging Strategies Section 4: Working Through Examples - Lesson 1: Analyzing Sample Problems Part 1 - Module 4, Section 4, Lesson 1 Analyzing Sample Problems Part 1 - Lesson 2: Analyzing Sample Problems Part 2 - Module 4, Section 4, Lesson 2 Analyzing Sample Problems Part 2 Section 5: Introduction to Code Optimization - Lesson 1: Recognizing Redundant Code - Module 4, Section 5, Lesson 1 Recognizing Redundant Code - Lesson 2: Simple Refactoring Techniques - Module 4, Section 5, Lesson 2 Simple Refactoring Techniques Module 5: Project Applications and Review Section 1: Project Planning and Idea Generation - Lesson 1: Brainstorming Coding Projects - Module 5, Section 1, Lesson 1 Brainstorming Coding Projects - Lesson 2: Outlining Project Requirements - Module 5, Section 1, Lesson 2 Outlining Project Requirements Section 2: Implementing a Mini-Project – Part 1 - Lesson 1: Setting Up the Project Structure - Module 5, Section 2, Lesson 1 Setting Up the Project Structure - Lesson 2: Writing Basic Functionalities - Module 5, Section 2, Lesson 2 Writing Basic Functionalities Section 3: Implementing a Mini-Project – Part 2 - Lesson 1: Enhancing with Data Structures - Module 5, Section 3, Lesson 1 Enhancing with Data Structures - Lesson 2: Incorporating Basic Algorithms - Module 5, Section 3, Lesson 2 Incorporating Basic Algorithms Section 4: Testing and Debugging Projects - Lesson 1: Running Tests on Your Code - Module 5, Section 4, Lesson 1 Running Tests on Your Code - Lesson 2: Debugging the Mini-Project - Module 5, Section 4, Lesson 2 Debugging the Mini-Project Section 5: Final Review and Reflection - Lesson 1: Recap of Python Fundamentals and Data Structures - Module 5, Section 5, Lesson 1 Recap of Python Fundamentals and Data Structures - Lesson 2: Strategies for Continued Learning - Module 5, Section 5, Lesson 2 Strategies for Continued Learning