Python Data Structures and Algorithms: Complete Guide

Master Python Data Structures and Algorithms to elevate your coding skills. This comprehensive course takes you from basic Python knowledge to designing efficient Python code using the essential data structures and algorithms employers seek.

What You'll Learn:

• Foundations & Big-O: Understand the core concepts of data structures and algorithms, including time and space complexity and performance trade-offs.
• Arrays & Lists: Explore memory models, resizing, slicing, iteration, and utilize dunder methods for Pythonic sequence manipulation.
• Linked Lists: Implement singly and doubly linked lists, master insertion, deletion, reversal, and slicing.
• Stacks, Queues & Deques: Learn manual implementations and leverage Python's built-in deque and queue for efficient data handling.
• Hash Tables & Sets: Dive into open addressing and chaining, and effectively use Python's dict and set for specialized collections.
• Trees: Implement binary search trees, explore traversal strategies, and fully implement a red-black tree.
• Heaps & Priority Queues: Build heaps, understand Heapsort, and utilize Python's heapq module.
• Searching: Implement linear and binary search algorithms (iterative and recursive).
• Sorting Algorithms: Master a range of sorting techniques including bubble sort, selection sort, insertion sort, merge sort, quicksort, counting sort, radix sort, and the latest Powersort in Python.
• Testing & Correctness: Write robust unit tests using unittest, inspired by CPython's testing methodology.
• Abstract Base Classes & Protocols: Understand and effectively use both for code organization and flexibility.
• Recursion: Learn when and how to use recursion effectively, and when alternative approaches are more suitable.

Why Choose This Course?

This course is ideal for individuals who already possess a foundational understanding of Python (e.g., those who have completed Tim Buchalka's popular Learn Python Programming Masterclass). It bridges the gap between basic Python proficiency and the ability to design efficient Python solutions.

Key Features:

• Build First, Then Pythonic: Learn the theory, implement your own code, and then integrate Python's built-in tools like sorted(), heapq, deque, and queue.
• Job-Relevant Coverage: Gain hands-on experience with essential data structures and algorithms, including arrays, linked lists, stacks, queues, hash tables, sets, trees, heaps, searching, and sorting.
• Big-O Analysis & Unit Tests: Ensure code correctness with Big-O analysis and comprehensive unit tests.
• Up-to-Date Python: The course incorporates modern Python advancements, including Python 3.11's Powersort for list.sort().
• Expert Instruction: Learn from Tim Buchalka, a highly experienced Udemy Instructor Partner with over 1.7 million students, and JP (Jean-Paul) Roberts, bringing industry insights for a practical learning experience.

Who is this course for?

• Aspiring Software Engineers: Learn to think like a software engineer, choose the right data structures and algorithms, and write clean, efficient code.
• Job Interview Preparation: Acquire practical patterns for coding interviews and real-world projects.

Not for: Beginners new to Python. Start with the Python Masterclass first.

Your Learning Experience:

• Code-Along Videos: Progress from fundamental concepts to advanced data structures through engaging video tutorials.
• Challenges & Solutions: Solidify your understanding with practical challenges and detailed solutions.
• Production Patterns: Learn patterns directly applicable to real-world Python development.

Refund Policy: Udemy offers a 30-day refund window.

Enroll now and take the next step towards becoming a proficient Python developer!