Problem Solving
Everything on SkillVeris tagged Problem Solving — collected across the glossary, study notes, blog, and cheat sheets.
293 resources across 2 libraries
Blog Articles(22)
Python for Beginners: A Complete 2026 Roadmap
A comprehensive guide to python for beginners: a complete 2026 roadmap — written for learners at every level.
How to Install Python and Set Up VS Code (Step by Step)
A comprehensive guide to how to install python and set up vs code (step by step) — written for learners at every level.
Object-Oriented Programming in Python Explained Simply
A comprehensive guide to object-oriented programming in python explained simply — written for learners at every level.
Python Error Handling: try, except, finally Made Simple
A comprehensive guide to python error handling: try, except, finally made simple — written for learners at every level.
JavaScript for Beginners: The Ultimate 2026 Guide
JavaScript makes web pages interactive — master the core language that runs on every browser and server.
HTML and CSS for Beginners: Build Your First Web Page
HTML gives a page its structure; CSS gives it style — build your first real web page from scratch.
Git and GitHub for Beginners: A Complete Guide
Git tracks your code history; GitHub hosts it — learn the essential version control workflow every developer uses.
Python Functions Explained for Beginners
Functions are named, reusable blocks of code — learn to define them, pass arguments, and return values.
Python Interview Questions and Answers (2026 Edition)
Python interviews cluster around fundamentals, data structures, OOP, and gotchas — this guide prepares you for all of them.
Git and GitHub for Beginners: The Complete Guide
Git is the version control system used by virtually every software team on the planet. This beginner guide explains commits, branches, merges, and pull request…
TypeScript for Beginners: JavaScript with a Safety Net
TypeScript adds optional static types to JavaScript, catching bugs before your code runs. This guide explains types, interfaces, generics, and the compile step…
React Hooks Explained: useState, useEffect, and Beyond
React Hooks replaced class components and changed how React developers think about state and side effects. This guide explains useState, useEffect, useContext,…
JavaScript ES6+ Features Every Developer Should Know
ES6 and beyond transformed JavaScript from a quirky scripting language into a powerful modern programming language. This guide covers the most important featur…
Object-Oriented Programming in Python: A Practical Guide
OOP is how Python codebases stay organised as they grow. This guide explains classes, inheritance, encapsulation, and polymorphism with real examples — and tel…
Python Decorators: A Practical Guide for Beginners
Decorators are one of Python's most powerful features — they let you wrap functions with reusable logic without modifying the original. This guide explains how…
Python Error Handling: try, except, finally Explained
Errors are inevitable; crashes are not. This guide explains Python's exception system from first principles: how try/except/finally works, which exceptions to…
Python Virtual Environments: venv, conda, and poetry Explained
Installing packages globally is fine until it isn't — then you have version conflicts, broken projects, and chaos. This guide explains virtual environments fro…
Python List Comprehensions Made Easy
List comprehensions are one of Python's most beloved features — they let you create lists with concise, readable one-liners instead of multi-line for loops. Th…
Testing Python Code with pytest: A Beginner's Guide
Untested code is legacy code from the moment it's written. This guide explains how to write effective Python tests with pytest — from your first test function…
Regular Expressions in Python: A Practical Guide
Regular expressions are one of the most powerful text-processing tools in programming — and one of the most avoided, because the syntax looks intimidating. Thi…
Python File I/O: Reading and Writing Files
Almost every real Python program reads or writes files — logs, configs, CSVs, JSON, reports. This guide covers text files, CSV, JSON, binary files, and the mod…
SQL Tutorial for Beginners: With Real Examples
SQL is the language of data — used by data analysts, backend developers, and data scientists every day. This tutorial covers SELECT, WHERE, ORDER BY, GROUP BY,…
Interview Questions(271)
What is Big O Notation?
Big O notation describes how an algorithm’s running time or memory usage grows as the input size grows, focusing on the dominant term and ignoring constant fac…
Difference Between Array and Linked List
An array stores elements in contiguous memory with fixed-size, index-based access in O(1), while a linked list stores elements as nodes scattered in memory, ea…
What is a Hash Table?
A hash table is a data structure that maps keys to values using a hash function to compute an index into an array of buckets, giving average O(1) insertion, lo…
What is Recursion?
Recursion is a technique where a function solves a problem by calling itself on a smaller instance of the same problem, until it reaches a base case that stops…
Difference Between Stack and Queue
A stack is a LIFO (Last In, First Out) structure where the last element added is the first removed, while a queue is a FIFO (First In, First Out) structure whe…
What is a Binary Search Tree (BST)?
A binary search tree is a binary tree where every node’s left subtree holds smaller keys and its right subtree holds larger keys, enabling search, insertion, a…
What is Dynamic Programming?
Dynamic programming is a technique for solving problems by breaking them into overlapping subproblems and storing each subproblem’s result so it is computed on…
What is a Doubly Linked List?
A doubly linked list is a sequence of nodes where each node stores a value plus pointers to both the next and the previous node, allowing traversal in either d…
What is Binary Search?
Binary search is an algorithm that finds a target value in a sorted collection by repeatedly halving the search range, comparing the target to the middle eleme…
What is a Priority Queue?
A priority queue is an abstract data type where each element has a priority, and the element with the highest (or lowest) priority is always removed first, typ…
What is the Difference Between Time and Space Complexity?
Time complexity measures how the number of operations an algorithm performs grows with input size, while space complexity measures how the memory it needs grow…
What is a Balanced Tree?
A balanced tree is a binary tree structured so the height difference between subtrees at every node stays bounded (typically by a constant like 1), keeping the…
What is the Two Pointer Technique?
The two pointer technique uses two index variables that move through a data structure — typically a sorted array or a linked list — to solve problems in O(n) t…
What is the Sliding Window Technique?
The sliding window technique maintains a contiguous subrange of an array or string, expanding and contracting its boundaries as it scans, to solve subarray or…
What is Memoization?
Memoization is an optimization technique that caches the results of expensive function calls keyed by their arguments, so repeated calls with the same inputs r…
What is a Circular Queue?
A circular queue is a fixed-size queue implemented on an array where the last position wraps around to connect back to the first, allowing enqueue and dequeue…
What is Topological Sort?
Topological sort produces a linear ordering of the nodes in a directed acyclic graph such that for every directed edge from node A to node B, A appears before…
Solve the Two Sum Problem
The optimal solution to Two Sum scans the array once while keeping a hash map of value to index, checking on every element whether its complement (target minus…
How Do You Solve the Trapping Rain Water Problem?
The Trapping Rain Water problem, given an array of bar heights, is solved optimally with a two-pointer approach in O(n) time and O(1) space: water trapped abov…
Minimum Window Substring: How Do You Solve It?
Minimum window substring is solved with a variable-size sliding window and two hash maps: expand the right pointer until the window contains every required cha…
Longest Substring Without Repeating Characters
The longest substring without repeating characters is found with a sliding window and a hash map that stores the last seen index of each character: expand the…
How Do You Solve the Valid Parentheses Problem?
The valid parentheses problem is solved with a stack: push every opening bracket you encounter, and on every closing bracket, check that the stack's top is the…
Next Greater Element: How Do You Solve It?
The next greater element problem is solved with a monotonic decreasing stack: scan the array left to right keeping the stack's values in decreasing order, and…
What is the Monotonic Stack Technique?
A monotonic stack is a stack that is kept either strictly increasing or strictly decreasing from bottom to top by popping any element that would violate that o…
Showing 24 of 271.