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Understanding Bubble Sort Algorithm: A Step-by-Step Guide

Bubble Sort is an easy sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.
The time complexity of Bubble Sort is O(n²) in the worst and average cases, where n is the number of elements in the array.
In the best-case scenario, when the array is already sorted, the algorithm can terminate early due to the isSwapped optimization, resulting in a time complexity of O(n).
Bubble Sort is an excellent algorithm for educational purposes due to its simplicity, but it is not suitable for large datasets due to its quadratic time complexity.

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Let’s Build an Age Calculator with React Hooks in Nextjs

To build an Age Calculator with React Hooks in Next.js, first, you need to set up the development environment using Create React App.
Add Tailwind CSS for styling and import the useState hook from React to manage the application's state.
Create a function called calculateAge that takes the birth date as an argument and returns the calculated age.
Design a basic user interface with an input field for birth date, a button to trigger the age calculation, and a display area for the calculated age.

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Changing Browser Locale in Selenium Automated Tests with examples.

To change the browser locale in Selenium automated tests, one method is to set up arguments to Chrome startup configurations before launching the web driver.
Another method involves using the CDP (Chrome DevTools Protocol) commands along with Selenide methods to programmatically override the browser's locale.
However, there seems to be an issue with ChromeDriver 114 and previous versions where overriding the browser's locale does not work.
This issue has been raised in the Chromium community, but no solution or results have been provided yet.

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Fixing npm Errors When Creating React Apps with npx create-react-app

Issues may arise while using npx create-react-app to initialize a React project due to npm errors or conflicting versions.
Efficient component design is crucial for building performant React applications. Opt for smaller, reusable components and utilize React's built-in features like React.memo and useMemo hook.
React provides tools like React.memo and useMemo to improve performance by reducing unnecessary re-renders.
For complex applications, dedicated state management libraries like Redux, Zustand, or Jotai should be considered based on the application's size and complexity.

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Medium

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Why Study Trigger is the Best Coding Institute in Delhi for Programming Language

Study Trigger is considered one of the best coding institutes in Delhi for programming language.
Study Trigger focuses on practical, hands-on learning and real-world experience through projects and coding challenges.
The institute has industry experts as faculty, personalized attention, and a wide range of courses for all skill levels.
Study Trigger offers comprehensive placement assistance and flexible learning options.

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The Data Science Lifecycle: From Data Collection to Insights

Data Collection: Gathering data from various sources, including databases, web services, and user-generated content.
Data Preparation: Cleaning, organizing, and standardizing the collected data for analysis.
Data Exploration: Using visualization tools to understand the dataset's structure, identify patterns, and detect anomalies.
Data Modeling: Creating statistical and machine learning models to analyze the data and make predictions.

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Dev

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Today's Top 30+ items of Github - Dec 20, 2024

fastapi-injectable – Use FastAPI Depends() anywhere even outside routes
Chapter – Real-time lead-gen from public activity (open source)
Rivet Actors – OSS Cloudflare Durable Objects with Rust, FoundationDB
Genesis, the AI enabled physics platform

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Dev

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Why Python is the Language of Choice for Developers

Python is a versatile and powerful programming language that is popular among developers for its simplicity, readability, and vast ecosystem.
Python is considered the easiest programming language to learn, and its structure mimics human language to some extent, allowing developers to focus on solving problems than dealing with syntax rules.
Python's versatility is one of its greatest strengths. It can be used for a wide range of applications, from web development to data analysis, automation, and more.
Python boasts a vast collection of libraries and frameworks that speed up development time, making it suitable for almost any project.
Python developers are in high demand, and industries such as tech giants, financial institutions, healthcare companies, and even government organizations are actively recruiting Python developers.
Python has one of the largest and most active programming communities, and developers can access solutions to any problem from forums, documentation, or tutorials.
Python programs are compatible with various operating systems, making it easy for developers to deploy their apps on any platform.
Python can integrate with other languages and technologies, allowing developers to choose the best paradigm based on their project needs.
Python supports both object-oriented and functional programming, providing greater control over the structure of code and allowing developers to write cleaner and more maintainable software.
With its minimal syntax, rich set of libraries, and flexibility, Python is an excellent choice for startups and development teams to quickly build and iterate on ideas.

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Medium

Igniting the fires of significant personality, change within the chronicles of Narnia and fight…

In both 'The Chronicles of Narnia' and 'Fight Club,' significant moments serve as 'fire starters' that ignite profound changes in the protagonists.
These pivotal scenes act as catalysts for rebellion against oppressive forces, leading to a transformation of identity and purpose.
The sacrifice of Aslan in Narnia and the explosive climax in Fight Club symbolize moments of confrontation and awakening.
These moments of conflict and awakening lead to a deeper understanding of oneself and a courageous stand against evil.

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Using retro designs from 90s websites to inspire modern UX

The 90s witnessed a significant shift in computers becoming personal entertainment devices and tools for self-expression, which led to an experimental aesthetic in web design.
Designers in the 90s created unique designs marked by a mix of colors, fonts, animations, textures, and other technical aspects, which has inspired modern UX in various ways.
Despite its primitive look, the 90s aesthetic has influenced contemporary design, as retro website designs evoke nostalgia and appeal to audiences who remember the era's experimentation and distinct digital aesthetic.
Key characteristics of 90s website design include overloaded visuals, animated GIFs, color palettes, typography, skeuomorphism, textures, and the philosophy of 'more is better.'
Lessons from notable 90s websites, such as Geocities, can help identify design approaches that emphasize individuality, simplicity, and avoiding clutter.
Retro elements in UX offer an opportunity to balance creativity with usability, evoke a sense of nostalgia, and stand out from minimalist templates.
Modern UX design should always prioritize user experience, recognize design history, and leverage past designs while applying design fundamentals and updating outdated features.

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Day 54: RNN Applications — Text Processing, Time-Series Forecasting

Recurrent Neural Networks (RNNs) have revolutionized text processing and time-series forecasting.
RNNs excel in text processing by capturing contextual relationships in sequential data.
In time-series forecasting, RNNs analyze temporal dependencies to understand trends and patterns.
Leveraging LSTMs and other advanced techniques, RNNs unlock potential in real-world problems.

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Dev

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3 Myths, 3 Facts, and 3 Strategies to Scale Node.js Apps

Node.js is designed to scale, but its performance at scale depends heavily on application architecture, optimizations, and your approach to managing system resources.
Node.js is built on an event-driven, non-blocking I/O model that actually allows it to manage thousands of concurrent connections with ease.
Node.js delivers performance comparable to compiled languages for many use cases because of Google’s V8 JavaScript engine, which compiles JavaScript into optimized machine code.
Scaling Node.js is not easy and requires thoughtful planning and the right architecture.
Node.js’ single-threaded, event-driven model is great for I/O tasks but when it comes to CPU-intensive operations, this same model can become a bottleneck.
Memory management is critical for growing Node.js applications.
Clustering is necessary to take advantage of all available CPU cores for high-traffic Node.js apps.
Load balancing, caching, and database optimization are three strategies to scale Node.js.
Many large platforms like Netflix, LinkedIn, Uber, and Walmart already rely on Node.js to handle millions of users.
With the right strategies, Node.js can handle the pressure and truly create fast, dependable, and scalable applications.

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Medium

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Reviving Legacy React Native Apps: Challenges and Solutions

Updating an old React Native app can be challenging due to version conflicts, outdated libraries, and configurations.
To update an old React Native app, it is important to run tests and replace outdated code with updated versions using library documentation.
Maintenance is essential for compliance with store policies, enhancing performance, and addressing security concerns.
With a solid approach and the right tools, it is possible to successfully update an old React Native app and prepare it for the future.

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Dev

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Learning C++: A Beginner's Guide

C++ is known for its speed and efficiency, making it suitable for high-performance applications.
Learning C++ provides a solid foundation for understanding other programming languages, such as Java and Python.
C++ is commonly used in various industries, including gaming, embedded systems, and software development.
C++ programming often requires a specific environment that involves installing a compiler and Integrated Development Environment (IDE) software.
C++ includes operator types such as arithmetic, relational, logical, bitwise, assignment, and increment/decrement operators.
C++ supports several types of loops such as For Loop, While Loop, and Do-While Loop.
C++ also supports pointers, which can be utilized to access variables and support dynamic memory management.
Object-Oriented Programming (OOP) is made simpler with C++. The foundational concepts include encapsulation, abstraction, inheritance, and polymorphism.
C++ also features constructors, destructors, abstract classes, and interfaces.
Encapsulation, polymorphism, and inheritance are used to simplify and modularise code design in C++.

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Introduction to Computer Vision

Computer vision is a subfield of AI and ML that allows machines to understand digital images and videos, and extract information.
Computer vision involves statistics, mathematics, and disciplines like deep learning to classify images, detect objects, track motion, and recognize human emotions.
Computer vision and image processing differ in their objectives and applications. The latter prepares images for analysis or human perception.
Hardware requirements for computer vision include cameras, sensors, powerful CPUs, and GPUs. Software requirements include OpenCV, TensorFlow, and PyTorch.
Computer vision processes involve feature extraction, segmentation, object detection and recognition, classification, tracking, and post-processing.
Computer vision has numerous applications in automotive, healthcare, sports, and surveillance where it transforms how deliver tasks and services.
Despite recent remarkable advancements, computer vision still faces limitations and challenges, including lightning issues, adverse weather conditions, data bias, ethical concerns, and algorithmic limitations.
Image segmentation is the process of partitioning an image into segments/clusters, and this technique is applied to locate objects and boundaries in images.
A hands-on tutorial on image segmentation using k-means clustering can simplify and reduce the complexity of images for further analysis.
Practical applications of computer vision and the hardware and software requirements needed to implement it are crucial to extract information from meaningful interpretations in various fields.

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