Python Lab

A collection of Python programming experiments, algorithm implementations, and coding practice solutions.

Overview

This repository contains various Python implementations including:

• Data Structures: Binary search trees, linked lists, stacks, queues, heaps
• Algorithms: Sorting algorithms, pattern matching, string manipulation
• LeetCode Solutions: Common coding interview problems and solutions
• Practice Problems: Various algorithmic challenges and implementations TODO add interview experiences and mocks.

Repository Structure

python-lab/
├── main.py                    # Two Sum implementation with tests
├── lc.py                      # LeetCode problem solutions
├── bst.py                     # Binary Search Tree implementation
├── linkedlist.py              # Linked List data structure
├── stack.py                   # Stack implementation
├── heap.py                    # Heap data structure
├── queue_circular_buffer.py   # Circular queue implementation
├── custom_queue.py            # Custom queue implementation
├── sorting.py                 # Sorting algorithms
├── patterns.py                # Pattern matching algorithms
├── merge_intervals.py         # Interval merging problems
├── islands.py                 # Island counting algorithms
├── anagram_checker.py         # Anagram detection algorithms
└── practice/                  # Additional practice problems
    ├── two_sum.py
    ├── valid_brackets.py
    ├── k_most_frequent.py
    ├── longestsubset.py
    ├── longestzeroes.py
    └── playground.py

Key Implementations

Data Structures

• Binary Search Tree (bst.py): Complete BST with insertion, deletion, and traversal
• Linked List (linkedlist.py): Singly linked list with append and display methods
• Stack (stack.py): Stack implementation with push/pop operations
• Heap (heap.py): Min/max heap implementation
• Queue (custom_queue.py, queue_circular_buffer.py): Various queue implementations

Algorithms

• Two Sum (main.py): Multiple approaches to the classic two sum problem
• Valid Parentheses (lc.py): Bracket validation using stack
• Anagram Detection (lc.py): String anagram checking algorithms
• Longest Substring (lc.py): Finding longest substring without repeating characters
• Top K Frequent (lc.py): Finding k most frequent elements using heap
• String Compression (lc.py): In-place string compression algorithm
• Longest Consecutive Sequence (lc.py): Finding longest consecutive number sequence

Usage

Each file can be run independently:

# Run main two sum implementation
python main.py

# Test specific algorithm implementations
python lc.py

# Test data structure implementations
python linkedlist.py
python bst.py

Practice Problems

The practice/ directory contains additional coding challenges and experimental implementations for skill development and interview preparation.

License

This project is licensed under the terms specified in the LICENSE file.