Course Outline

Become A Programmer

Data Structures in Python: A Hands-On Approach Training Course

Rating

9/10

Duration

2 Days

Course Overview

This training course provides a practical introduction to data structures in Python, focusing on their implementation and real-world applications. Participants will explore essential data structures such as lists, dictionaries, sets, and trees while gaining hands-on experience in writing efficient Python code. The course is designed for programmers who want to strengthen their understanding of data management and algorithmic problem-solving using Python’s built-in capabilities and custom implementations.

Format of Training

  • Instructor-led interactive sessions
  • Hands-on lab exercises
  • Practical coding challenges
  • Group discussions and debugging exercises

Course Objectives

  1. Understand and implement fundamental data structures in Python
  2. Work with lists, dictionaries, and sets efficiently
  3. Implement tree structures for hierarchical data representation
  4. Analyze the performance of data structures using Big O notation
  5. Apply data structures to solve real-world programming problems
  6. Optimize data storage and retrieval using appropriate structures
  7. Debug and troubleshoot common issues related to data structures

Prerequisites

Course Outline


Day 1: Fundamental Data Structures in Python

Session 1: Introduction to Python Data Structures

  • Importance of data structures in programming
  • Built-in vs. custom data structures in Python
  • Time complexity basics with Big O notation

Session 2: Lists and Tuples

  • Understanding Python lists and tuples
  • List operations, slicing, and manipulation
  • When to use lists vs. tuples

Session 3: Dictionaries and Sets

  • Implementing and using dictionaries for fast lookups
  • Handling data with sets for unique elements
  • Performance analysis of dictionary and set operations

Session 4: Hands-on Lab – Implementing Lists, Dictionaries, and Sets

  • Coding exercises on data retrieval and manipulation
  • Debugging and optimizing Python code

Day 2: Advanced Data Structures and Implementation

Session 1: Trees and Recursive Data Structures

  • Introduction to tree structures and their use cases
  • Implementing binary trees and traversal algorithms
  • Understanding recursion in tree-based problems

Session 2: Custom Data Structure Implementation

  • Creating custom linked lists in Python
  • Implementing stacks and queues with Python’s collections module
  • Real-world applications of custom data structures

Session 3: Hands-on Lab – Applying Data Structures in Problem-Solving

  • Solving practical problems using different data structures
  • Optimizing performance using appropriate data structures

Session 4: Code Review, Q&A, and Best Practices

  • Reviewing and optimizing written code
  • Discussing best practices for data structure selection
  • Final Q&A and next steps for mastering Python data structures

Bespoke Option

We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

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Data Structures in Python: A Hands-On Approach Training Course

Course Name: Data Structures in Python: A Hands-On Approach Training Course

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