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.

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 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.

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Go Lang Coding Practice

Coding Questions Filter

Coins and Game

Check if Array is Sorted

Binary Array Sorting

First Non-repeating Character

Valid Palindrome

Longest Substring with K Unique Characters

Minimum Insertions to Make Palindrome

Longest Repeating Non-overlapping Substring

Word Character Coverage Ranges

Find Peak Elements

Rotate Array by K Positions

Merge Overlapping Intervals

Longest Alternating Subsequence

Running Median of K Elements

4Sum Problem with Unique Quadruplets

Find Middle of Linked List

Remove Nodes with Duplicate Values

Merge Two Sorted Lists

Rotate Linked List

Swap Nodes in Groups

Convert Sorted List to Balanced BST

Search Insert Position

Find Majority Element

Find Minimum in Rotated Sorted Array

Search in Sorted Matrix

String Rotation Check

Find Target Sum Pairs

Find All Factors

Reverse Words in String

Move Zeros to End

Longest Subarray with Difference One

Wildcard Pattern Matching

Find Twin Primes

Generate Valid Parentheses

Valid Rectangle from Points

Expected Maximum Dice Roll

Different Position Combinations

Next Greater Element

Sliding Window Maximum

Array Increment Operations

Sort Array By Parity Maintaining Order

Balanced Binary Tree

Path Exists in Graph

Case-Insensitive Stable Sort

Decimal to Roman Numeral

Generate Valid Parentheses

Powers of Two Sum

Find Number Range

Minimum Coins Required

Sum of Left Leaves

Count Groups of Anagram Substrings

Phone Number Letter Combinations

Two Sum Sorted Array

Sliding Window Average

Matrix Transpose In-Place

Meeting Room Counter

Find Longest Repeating Pattern

Find Next Number in Sequence

Tic-Tac-Toe Game Status

Sort Log Files

Sum of Subarray Minimums with Fixed Size

Count Limited Range Subsequences

Split Array Equal Average

Maximum Circular Subarray Sum

Longest Smooth Subarray

Minimum Arithmetic Sequence Partition

Count Special Subarrays

Format Nested Braces

Selective String Compression

Count Unique Rearrangeable Substrings