Python DSA: Sorting, Searching & Bit Manipulation https://WebToolTip.com Published 7/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 47m | Size: 484.9 MB Python DSA - Sorting,Searching & Bit Manipulation (Solution Code with Detailed Explanations) | Coding Practice Exercises What you'll learn Master High-Frequency Algorithmic Patterns: Identify and implement core techniques in Searching, Sorting, Greedy algorithms, and Bit Manipulation to solve LeetC Apply Advanced Search Strategies: Implement Binary Search, Ternary Search, and Search Space Reduction on 1D/2D arrays and monotonic functions. Master Sorting Techniques & Custom Logic: Write and optimize classic sorting algorithms (QuickSort, MergeSort, HeapSort) and implement custom comparator logic i Optimize Choice-Making with Greedy Algorithms: Solve interval scheduling, fractional knapsack, and activity selection problems by making locally optimal choices Manipulate Bits for High-Performance Solutions: Utilize bitwise operators (AND, OR, XOR, NOT, Shifts) to solve low-level optimization problems, single-number va Analyze Big-O Time & Space Complexity: Evaluate, calculate, and articulate time and space complexities for both brute-force and fully optimized Python solutions Write Clean, Idiomatic Python: Leverage built-in Python modules (such as collections, heapq, bisect, and functools) to write concise, production-ready code. Understand Core System Design Architecture: Explain key principles of distributed systems, including horizontal vs. vertical scaling, load balancing, and revers Design Efficient Caching & Storage Systems: Compare SQL vs. NoSQL databases, evaluate indexing strategies, and design cache eviction policies (LRU/LFU) using Re Incorporate Asynchronous Messaging & Decoupling: Understand how microservices communicate using message queues (Kafka, RabbitMQ) and pub/sub architecture. Master Rate Limiting & Consistent Hashing: Learn how to prevent system overload using rate-limiting algorithms and distribute traffic across servers using consi Architect High-Level Real-World Systems: Step through the complete high-level design (HLD) of scalable applications like URL Shorteners, Key-Value Stores, and N Requirements Basic Python Knowledge: A fundamental understanding of Python syntax, functions, loops, and basic data structures like lists, dictionaries, and sets. Standard Computer & Internet Access: A Mac, Windows, or Linux system with Python 3 installed and an internet connection to run code and access course materials.