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Modern Web Development with React: A Full Guide

React JS is a powerful tool for web development, enabling the creation of dynamic and interactive user interfaces.
However, mastering React can come with challenges such as state management, styling, API integration, and debugging.
To overcome these challenges, Froala has released an e-book called 'Froala React JS Full Tutorial' that goes beyond the fundamentals and provides in-depth insights.
The e-book covers topics like state management, styling with Tailwind CSS, API integration, debugging, and much more.

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Medium

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An Alien Called “Alembic”

Alembic is a database migration tool designed to work seamlessly with SQLAlchemy.
It allows managing database schema changes in a controlled and consistent manner.
Alembic can create, apply, and rollback migrations, making it ideal for projects requiring iterative database changes.
It is a powerful tool for managing database migrations in Python projects, particularly when paired with SQLAlchemy.

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Prodevelopertutorial

144

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Find the Maximum and minimum of an array

To find the maximum and minimum of an array with a less number of comparisons, we can use two methods: the iterative method and the tournament method.
In the iterative method, we use a for loop to check each element of the array. We initialize two variables, min and max, to store the minimum and maximum values. The time complexity is O(n), and the number of comparisons is 2(n-1).
In the tournament method, we divide the array into left and right parts recursively until there are only two elements. Then, we compare these two elements to find the maximum and minimum. This method reduces the number of comparisons to 3n/2 - 2.
Both methods have been implemented in C++, and their outputs for the given array {1, 2, 3, 4, 5} are as follows: Iterative method - Max: 5, Min: 1, Tournament method - Max: 5, Min: 1.

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Hackernoon

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Solve Concurrency Challenges with Spring's @Transactional Annotation

This article explores the challenges of managing transactions and concurrency in distributed systems and proposes using Spring's @Transactional annotation as a solution.
The article covers the challenges of handling parallelism and concurrency in a microservice architecture, particularly when dealing with multi-threaded processes and different sources of data such as Kafka topics and REST requests.
The article proposes using the @Transactional annotation to manage transactions, and highlights features like isolation levels and propagation for dealing with different scenarios.
The article outlines different types of locking mechanisms, such as optimistic and pessimistic locking, and provides guidance on when to use them to avoid issues such as deadlocks.
The article provides insights into optimizing performance when using the @Transactional annotation, such as avoiding its use when not necessary and reducing transactional method calls and database queries.
The article also suggests optimizing message processing by grouping messages and using asynchronous methods for efficient processing.
It concludes by advising developers on best practices for managing transactions effectively in a distributed microservice architecture.
Code examples and a project with materials, tests, and monitoring tools such as Grafana and Prometheus are available on the linked GitHub repository.

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Medium

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history of whatsupp WhatsApp’s history traces back to its founding in 2009 by Jan Koum and Brian…

WhatsApp was acquired by Facebook, Inc. in 2014 for $19 billion, allowing for expansion of features and functionalities.
Post-acquisition, WhatsApp reached over 2 billion users worldwide by 2020.
Changes to its privacy policy in 2021 led to user backlash and increased exploration of alternative platforms.
WhatsApp's history showcases a focus on user privacy while navigating the complexities of corporate integration and digital privacy.

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Prodevelopertutorial

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Reverse an array

Given an array, print that array in reverse order.
Method 1: By using C++ STL
Method 2. By taking a temp variable / Iterative method / Two Pointer approach
Method 3. By recursion

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Johndcook

149

Dimensional analysis for gamma function values

Dimensional analysis can be applied to equations involving factorials and related functions by injecting artificial dimensions.
Factorials can be imagined as n-dimensional volume if each term had units of length.
Dimensional analysis for factorials and related functions can aid in remembering identities and identifying errors.
Applying dimensional analysis to the gamma function allows assigning dimensions to complex values and confirming identities.

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Medium

361

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Day 16: Tackling Python Challenges in CS50P’s Problem Set 1 — Question 5

Learning Python is an adventure, and every challenge is a chance to grow.
The task is to write a Python Program to determine whether it’s breakfast, lunch, or dinner time based on a user’s input.
The program needs to validate the time input format and handle invalid inputs and edge cases.
This challenge helps in enhancing understanding of Python and developing systematic thinking and robust programming skills.

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Dev

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Architecting Angular Applications: A Case Study in Scalable and Maintainable Design 🚀

Creating scalable and maintainable Angular applications is important for long-term success.
This article focuses on a case study of an architecture that supports these qualities for building a music streaming app.
This article is designed for intermediate to advanced Angular developers who are looking to refine their application architecture for better scalability and maintainability.
A well-organized folder structure is the backbone of a maintainable application.
Each folder serves a specific purpose, making it easy to locate and manage different aspects of the application.
The components folder is further organized by feature, which provides benefits like easy location of related components, scalability, and separation of concerns.
The services folder contains all services centralizing the data management and business logic, promoting reusability and simplifying maintenance by centralizing data fetching logic.
The models folder contains interfaces that define the shape of the data enhancing type safety across the application and easier refactoring.
The adapters folder transforms external API data into a format within the application that can easily consume.
NgRx SignalStore allows efficient reactivity, centralized management, and predictability in state changes, making it easier to debug and test for state management.

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Prodevelopertutorial

162

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Min Edit Distance

In this tutorial we shall solve min edit distance with help of DP.
The problem is to find the minimum distance between two given strings, considering the operations of insertion, deletion, and replacement of characters.
We solve this problem using Dynamic Programming (DP) and create a DP table to store the number of operations needed.
By calculating the minimum operations for each position in the DP table, we can determine the minimum edit distance between the two strings.

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Dev

429

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How to Populate HTML Dynamically with Data from An API

Working with APIs is essential for web developers and in this article, we learn how to display data from an API on a webpage.
The data accessed through APIs is stored on a remote server that can be accessed using the fetch() method in JavaScript.
To populate data on a certain part of a webpage, the developer must fetch the required data and display it using various JavaScript methods.
The developer first assigns the part of the HTML document that needs to be populated with a variable.
Then, the developer assigns the URL of the API to a variable and creates an asynchronous function to retrieve and process the data.
The developer uses conditional statements and loops to filter the data according to specific criteria and returns an iterable array containing filtered data objects.
The developer then uses another asynchronous function to populate the webpage with the retrieved API data using the previously declared container variable and various string concatenation rules.
The function generated HTML elements with data from each filtered item while iterating through the array.
The output is then dynamically displayed on the page, and the content is updated in real-time as the data in the API changes.
In conclusion, using APIs to display data on webpages is a task that every web developer needs to know, and this article provides a simple guideline to achieve this task effortlessly. Note that content can be filtered or manipulated according to the developer's preferences and that deep understanding of JavaScript data manipulation is essential.

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Medium

280

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Proxy Design Pattern: A Comprehensive Guide

The Proxy Design Pattern is a way to control access to resources and add functionality to objects by using a proxy.
The proxy acts as an intermediary, performing additional operations before forwarding requests to the real object.
Some use cases for the Proxy Design Pattern include controlling access to sensitive resources, banning specific websites in a network, and performing costly operations lazily.
Proxies are powerful tools for enforcing access restrictions, enhancing performance, and improving maintainability.

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16 Likes

Medium

248

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The Most Used Data Structures in C#: A Fun and Practical Guide with Big O Notation

A List is a flexible data structure that automatically resizes when full, making it more versatile than arrays.
A Dictionary provides fast lookups based on unique catalog numbers.
A Queue follows a first-in, first-out (FIFO) approach, similar to a coffee line.
A Stack operates on a last-in, first-out (LIFO) principle, like a plate stack or a VIP bouncer.

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Alvinashcraft

293

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Dew Drop – January 16, 2025 (#4343)

PowerSchool data breach resulted in the theft of all historical student and teacher data.
Microsoft introduces Microsoft 365 Copilot Chat, a collaborative tool for Copilot users.
Windows App SDK versions 1.6.4 and 1.5.9 have been released.
Google Workspace now offers generative AI for business customers.

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Prodevelopertutorial

144

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Building Bridges

The problem is about building bridges across a river without them crossing each other.
The solution uses Dynamic Programming and the Longest Increasing Subsequence algorithm.
The steps involve sorting the south co-ordinates in ascending order and finding the longest increasing subsequence for the north co-ordinates.
Finally, the bridges are joined in the longest increasing subsequence order.

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