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Dynamic Programming: Longest Increasing Subsequence

Dynamic Programming approach to solve the problem of finding Longest Increasing Subsequence in an Array of integers.
We start with a DP array to store the longest increasing subsequence till that index, initially filled with 1 at every index.
We take two variables i and j where i starts from index [1] and j starts from 0 to i.
We check if the value at array[j] is less than the value at array[i], then we perform an operation in our DP table, then we increment the index of 'j'.
When 'j' and 'i' reaches to the same index, we increment the 'i' value to point to next element and reset the 'j' value to 0.
DP array will always show the Longest Increasing Subsequence till that index.
The above process is repeated until we reach the end of the array and the maximum value of DP array gives our required result.
This algorithm provides the longest increasing subsequence in O(n^2) time complexity.
This problem has a Dynamic Programming solution with a relatively simple recursive formulation.
This technique of solving sub-problems and building up solutions to larger problems is the key idea of Dynamic Programming.

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Medium

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CLAY Token Listing on STON.fi A New Era for the CLAY Community

The listing of the CLAY token on STONFI will bring increased liquidity and improved trading experience for the CLAY community.
STONFI is a user-friendly and secure platform that will enhance community engagement among CLAY holders.
On January 16, the CLAY token will be officially listed on STONFI, leading to increased market activity and various community celebrations.
The listing is expected to take the CLAY ecosystem to new heights.

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Dev

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Lessons from A Philosophy of Software Design

A Philosophy of Software Design by John Ousterhout focuses primarily on what separates good software design from bad software design.
Understand why you disagree with coding advice found in books like this one or Clean Code.
Complexity in software is more apparent to readers than writers.
Good design should be obvious; symptoms of complexity include change amplification, cognitive load, and unknown unknowns.
Modules should be deep and complex implementations hidden behind simple interfaces with sensible defaults.
Try to pick approaches that are radically different from each other when designing software.
Comments should be used to explain things that can't be expressed in code and the biggest challenge with cross-module documentation is finding a place to put it.
Enforce coding conventions and coding style preferences using automated tools like ESLint and Prettier.
Concentrate on strategic programming and don’t focus just on features.
Tests, particularly unit tests, play an important role in software design because they facilitate refactoring.

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Medium

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Automating Linux System Tasks with Python and Fabric: A Delightful Guide

Fabric is a Python library for automating Linux system tasks.
It allows execution of shell commands remotely, file transfer, and task automation.
Fabric's charm lies in executing tasks in parallel across multiple servers.
It also provides easy file transfer, error handling, and integration with schedulers.

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Medium

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Tailwind — why worth to use?

Tailwind is worth using as it provides easy installation and integration with NextJS.
Using Tailwind saves time and eliminates the need for writing extensive CSS code.
Tailwind's pre-built templates are available for free and result in user-friendly and modern websites.
Tailwind should be used for fast and lightweight applications, reserving pure CSS for specific needs.

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Dev

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Handling React loading states with React Loading Skeleton

React Loading Skeleton package is used to build placeholders to minimize frustration while the content is being loaded on a UI to ensure a stable and visually smooth UI.
React Loading Skeleton package has various props to customize the appearance, layout, and behavior of skeleton placeholders.
Skeleton Theme component is used to define shared styles for all Skeleton components within the React tree.
In Tailwind CSS, we can easily create a visually appealing and flexible skeleton loader using the CustomSkeleton component.
Loading skeletons significantly enhance the user experience during asynchronous data fetching by improving visual stability and reducing perceived wait times.
This guide provides practical examples and advanced techniques for building a loading state using the React Loading Skeleton package, as well as how to build a loading skeleton without relying on external dependencies.
The article covers dynamic theme customization for skeleton loader and customizing the shimmer effect.
Loading skeletons help prevent layout shifts and ensure a smooth transition as content loads.
Loading skeletons are placeholders that mimic the content being loaded on a UI for a more user-friendly experience.
Using ther React Loading Skeleton package, a custom animation can be enabled by adding keyframes and defining the animation in the configuration file.

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Prodevelopertutorial

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Print the nodes at k distance from the root of a binary tree

To print all the nodes that are k distance from root, we can use recursive approach.
The base cases are when the node becomes null or the k value becomes 0.
We make a recursive call to both the left and right child, decrementing the k value.
The recursion tree shows the process for k = 2.

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Prodevelopertutorial

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Print all the paths from root node to leaf node

To print all the paths from root to leaf nodes in a binary tree, we can use inorder traversal and a stack.
During the inorder traversal, we push nodes onto the stack until we reach a leaf node.
Once we reach a leaf node, we print the entire content of the stack as the path from root to leaf.
After printing the path, we backtrack to the parent node by removing elements from the stack and continue traversing the tree.

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Prodevelopertutorial

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Add all the node values in a Binary Tree or Sum of a Binary tree

Given a binary tree root node, return the sum of all the nodes of the tree.
The total sum is calculated by recursively adding the value of the current node, the sum of the left subtree, and the sum of the right subtree.
If the root node is null, the sum is 0.
The sum of all the nodes in the binary tree is returned.

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Prodevelopertutorial

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Check if binary tree is a sum tree

The tutorial covers how to check if a binary tree is a sum tree or not.
A sum tree is a tree where the parent node value is equal to the sum of its left sub tree and right sub tree.
The example in the tutorial demonstrates a sum tree and explains the condition that needs to be satisfied for internal nodes.
Only leaf nodes do not need to satisfy this condition.

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Prodevelopertutorial

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Check if 2 binary tree are identical

To check if two binary trees are identical, we need to compare their node values.
If both nodes are null, return true.
If the left node value of tree 1 is equal to the left node value of tree 2, return true.
If a node from tree 1 has a value and the corresponding node from tree 2 is null, return false.

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Prodevelopertutorial

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Check if 2 nodes are mirror of each other

To check if two trees are mirror to each other, we need to compare the following conditions:
1. The left child of tree 1 should be equal to the right child of tree 2.
2. The right child of tree 1 should be equal to the left child of tree 2.
3. If both trees have no children (NULL), they are considered mirror trees.

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Prodevelopertutorial

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Lowest Common ancestor of a Binary Tree.

To calculate the lowest common ancestor in a binary tree, we can use a simple approach of listing down all the paths from the root node to the given nodes and selecting the lowest common node.
Another approach is to solve it using recursion without using any extra space. We follow a bottom-up approach and return the current node to its parent if we find one of the nodes. If the current node is not one of the nodes, we traverse the left and right children recursively.
In an example scenario, for the given nodes 'h' and 'i', the lowest common ancestor is 'b'. We start from the root node 'a' and trace the nodes down the tree until we find the desired nodes.
The algorithm returns the lowest common ancestor between the two nodes based on the recursive traversal and comparison of nodes.

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Javarevisited

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Top 5 Resume and CV Tips for Beginners and Experienced IT Professionals in 2025

Here are 5 crucial tips to make your resume better for beginners and experienced IT professionals in 2025.
1. Focus on relevant skills and experience.
2. Highlight achievements and accomplishments.
3. Tailor your resume for each job application.
4. Use a clean and professional resume format.

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Javarevisited

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10 Things Java Programmers Should Learn in 2025 [UPDATED]

2025 has been a challenging year for programmers, with numerous technological changes.
Java developers have had a busy year, with new Java versions every 6 months.
Other notable changes include Spring 6.0, Spring Security 6.0, and Spring Boot 3.
Programmers need to stay up-to-date to keep pace with the fast-changing technology landscape.

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