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Go Lang Coding Practice

Welcome to Go Coding Practice. Go (Golang) is a modern programming language designed for simplicity, reliability, and efficiency. Practicing Go can help you build scalable backend systems, microservices, and cloud-native applications.

Coding Questions Filter

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Coins and Game

Medium Backtracking
Solve Challenge

Check if Array is Sorted

Easy Arrays, Sorting Algorithms
Solve Challenge

Binary Array Sorting

Easy Arrays, Sorting Algorithms
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Valid Palindrome

Easy Strings
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Merge Two Sorted Lists

Medium Linked Lists
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Rotate Linked List

Medium Linked Lists
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Swap Nodes in Groups

Hard Linked Lists
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Search Insert Position

Easy Searching Algorithms
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Find Majority Element

Easy Searching Algorithms
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Find Minimum in Rotated Sorted Array

Medium Searching Algorithms
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Search in Sorted Matrix

Medium Searching Algorithms
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Find All Factors

Easy Mathematics
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Find Twin Primes

Medium Mathematics
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Generate Valid Parentheses

Medium Mathematics
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Expected Maximum Dice Roll

Medium Mathematics
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Case-Insensitive Stable Sort

Easy Sorting Algorithms
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Powers of Two Sum

Easy Bit Manipulation
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Find Number Range

Easy Searching Algorithms
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Minimum Coins Required

Easy Dynamic Programming
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Sort Log Files

Easy Sorting Algorithms
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Solve Challenge
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Solve Challenge
Solve Challenge
Solve Challenge
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Solve Challenge

Partition List By Parity

Easy Linked Lists
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Text Justification All Ways

Medium Backtracking
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Digital Root Using Bits

Easy Bit Manipulation
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Count Distinct XOR Combinations

Medium Bit Manipulation
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Solve Challenge
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Maximum XOR Sum Subarray

Medium Bit Manipulation
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Solve Challenge

Count Factor Pairs

Easy Mathematics
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Jump Game Search

Easy Searching Algorithms
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Kth Missing Positive Number

Medium Searching Algorithms
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Longest Alternating Path Search

Hard Searching Algorithms
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Sort by Vowel Count

Easy Sorting Algorithms
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Sort by Bit Count

Medium Sorting Algorithms
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Maximum Flight Time Scheduler

Hard Sorting Algorithms
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What You'll Find Here

Real-World Challenges Work on problems that simulate Go's typical use cases in production.

Comprehensive Explanations Gain insights into Go's design and best practices through detailed tutorials.

Industry-Ready Skills Prepare for backend development and cloud-based projects with practical exercises.

Choose from the following Go Lang categories

Strings A sequence of characters used to represent text, with problems focused on manipulation, searching, and pattern matching.

Arrays A collection of elements stored in contiguous memory locations, allowing efficient random access and manipulation.

Linked Lists A linear data structure where each element (node) points to the next, offering dynamic memory allocation and efficient insertions/deletions.

Trees A hierarchical data structure with nodes connected by edges, used in applications like databases, file systems, and parsing.

Graphs A collection of nodes (vertices) connected by edges, representing relationships, widely used in networking, routing, and social networks.

Dynamic Programming An optimization technique that solves problems by breaking them into overlapping subproblems and storing their results.

Backtracking A problem-solving method that explores all possibilities recursively, backtracking when a solution is not feasible.

Sorting Algorithms Techniques for arranging elements in a specific order, such as quicksort, mergesort, and bubble sort, essential for data organization.

Searching Algorithms Methods for finding elements in a dataset, such as binary search, linear search, and graph traversal techniques.

Mathematics A field of study involving numbers, calculations, and logical reasoning, forming the foundation for algorithms and problem-solving.

Recursion A programming technique where a function calls itself to solve smaller instances of the same problem, often used in divide-and-conquer approaches.

Bit Manipulation Operations performed directly on binary representations of data, used for efficient computations and optimization tasks.