Coding Practice and Challenges

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Coding Practice

Welcome to Coding Practice!

Over 1000+ challenges to choose from!

From basic loops to advanced algorithmic puzzles, our coding challenges will give your coding practice an upgrade!

Practice coding with challenges that:

Sharpen your logic.

Enhance your creativity.

Boost your coding speed.

Polish Up Your Coding Practice Today!

Here’s why you should practice coding through our carefully curated challenges:

Boost Problem-Solving Power: Learn to think like an engineer by breaking problems into logical steps.

Master CS Fundamentals: Develop a rock-solid foundation in data structures, algorithms, and patterns.

Ace Tech Interviews: Practice real questions used by FAANG companies and fast-growing startups.

Grow Multilingual Skills: Get fluent in multiple programming languages and their unique paradigms.

Code with Confidence: Build speed and accuracy—two critical traits in real-world coding and interviews.

Frequently Asked Questions

How can I start practicing coding as a beginner?

Start by choosing a beginner-friendly language like Python or JavaScript. Learn the basics through hands-on practice and focus on small projects, coding challenges, and gradually build up to more complex problems.

How often should I practice coding?

Consistency matters more than duration. Aim to practice coding at least 3–5 times a week, even if it’s just for 30 minutes. Regular practice helps reinforce concepts, build problem-solving skills, and develop long-term coding fluency.

What types of coding problems should I focus on for practicing coding?

Begin your coding practice with basics like loops and conditionals, then move to data structures and algorithms. Focus on patterns like recursion and practice real-world problems for interviews and projects.

How do I choose the right programming language to practice coding?

Choose a language based on your goals. For beginners, Python is great for its simplicity. For web development, try JavaScript. If you’re aiming for software engineering or interviews, Java or C++ are solid choices.

Coding Problems

Valid Palindrome

3Sum

Remove nth Node from End of List

Reverse Words in a String

Valid Palindrome II

Strobogrammatic Number

Linked List Cycle

Linked List Cycle III

Linked List Cycle IV

Introduction to Sliding Window

Sliding Window Maximum

Minimum Window Subsequence

Minimum Window Substring

Minimum Size Subarray Sum

Frequency of the Most Frequent Element

Maximum Average Subarray I

Introduction to Merge Intervals

Merge Intervals

Insert Interval

Meeting Rooms II

Count Days Without Meetings

Introduction to In-Place Manipulation of a Linked List

Reverse Linked List

Reverse Nodes in k-Group

Reverse Linked List II

Reorder List

Split Linked List in Parts

Remove Linked List Elements

Introduction to Heaps

Maximize Capital

Find Median from a Data Stream

Sliding Window Median

Meeting Rooms III

The Number of the Smallest Unoccupied Chair

Introduction to K-way Merge

Merge Sorted Array

Kth Smallest Number in M Sorted Lists

Find K Pairs with Smallest Sums

Merge K Sorted Lists

Kth Smallest Element in a Sorted Matrix

Introduction to Top K Elements

Kth Largest Element in a Stream

Reorganize String

Top K Frequent Elements

Kth Largest Element in an Array

Find Subsequence of Length K with the Largest Sum

K Maximum Sum Combinations From Two Arrays

Introduction to Modified Binary Search

Binary Search

Search in Rotated Sorted Array

Find K Closest Elements

Single Element in a Sorted Array

Split Array Largest Sum

Search in Rotated Sorted Array II

Find Minimum in Rotated Sorted Array II

Introduction to Subsets

Subsets

Permutations

Generate Parentheses

Find K-Sum Subsets

Introduction to Greedy Techniques

Jump Game I

Gas Stations

Largest Palindromic Number

Jump Game II

Number of Steps to Reduce a Binary Number to One

Rearranging Fruits

Largest Odd Number in String

Assign Cookies

Introduction to Backtracking

N-Queens

Word Search

House Robber III

Restore IP Addresses

Sudoku Solver

Matchsticks to Square

Binary Watch

Split a String Into the Max Number of Unique Substrings

Binary Tree Paths