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RxSignals: The most powerful synergy in the history of Angular

Angular has introduced tools to enable seamless interaction between Signals and observables.
Reactivity in Angular until the introduction of Signals relied on subscribing to observables within templates using the AsyncPipe, resulting in additional checks.
Signals are inherently stateful and offer additional benefits as compared to observables when managing state.
RxJS can be used to declaratively describe event-driven tasks, avoiding imperative code.
RxJS has naturally evolved into a reliable tool for handling events in combination with Signals.
Working with imperative APIs in a declarative manner is possible since Signals seamlessly integrate with observables.
RxJS excels by leveraging merging operators to reliably detect changes in an element's width and to create observables based on Angular's APIs.
By adapting frequent operations to work with streams, RxJS significantly reduces boilerplate code, making it more declarative.
The synergy between Signals and observables marks a significant step forward in Angular's reactivity, making state and event management in Angular more intuitive.
RxJS is perfectly suited for handling event-driven tasks and remains integrated into the Angular ecosystem.

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Prodevelopertutorial

429

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Data structure tutorial 9: Circular Queues Data structure introduction and Implementation using arrays.

Circular Queue uses a data structure (array or linked list) to allow insertion and removal of elements from both the ends (front and rear end).
In this article, we understand the introduction to Circular Queue Data Structure, Formula to calculate to insert elements, Understanding inserting elements with an example, and Implementation of Circular Queue using arrays.
In Circular Queue, the front will be pointing at 0 and rear pointer will be pointing at the maximum index size of the queue.
When an element is inserted at the rear end, rear_end = (rear_end + 1) % MAX_QUEUE_SIZE; similarly, when an element is deleted from front_ end front_end = (front_end + 1) % MAX_QUEUE_SIZE; are the formula to calculate the index.
Depending upon the result, the rear pointer will update accordingly.
Circular queue, we will be utilizing the space efficiently.
Data structure uses an array with operations Insert(), Delete(), Display().
The Insert() function adds an element at the rear end and Delete() function deletes element from the front end.
Display() function shows the content of the queue.
Code implementation of Circular Queue using arrays includes InsertQueue(), DeleteQueue(), and DisplayQueue() functions.

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Prodevelopertutorial

411

Data structure tutorial 8: Queue Data Structure implementation using linked list in C

Introduction to Queue Data Structure
Operations performed on Queue: Inserting elements into queue and Deleting elements from the queue
Implementation of Queue using Linked List in C
Output of the program

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Logrocket

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Building a full-featured Laravel admin dashboard with Filament

Filament is an open source library that provides a Laravel-based suite of UI components for creating admin dashboards.
Filament provides powerful admin dashboard components such as Form Builder, Notifications, Actions, etc.
The tutorial covers the process for building an admin dashboard with Filament UI components.
The tutorial explains Laravel environment setup, Installation of Filament, and creation of the database.
The use of Form Builder is demonstrated in creating a User form with validation, error handling, and conditional logic.
Notifications are implemented with Laravel Echo and Pusher to display real-time updates, and custom Actions are added for specific user tasks.
With Filament, powerful admin dashboards can be created that are interactive, reliable while keeping the code clean and easy to maintain.
Filament is developer-friendly and offers comprehensive solutions for building engaging, high-performance Laravel applications.
Explore Filament’s documentation to unlock more possibilities and create feature-rich admin dashboards.
Boost productivity and satisfaction with powerful and intuitive admin dashboards built using Filament and Laravel.

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Prodevelopertutorial

165

Data structure tutorial 6: Circular Doubly Linked List

Circular Doubly Linked List is discussed in this chapter.
Representation, operations, and implementation of Circular Doubly Linked List are covered.
Operations include insert rear, delete element, and display.
The code example demonstrates the implementation and output of the program.

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Prodevelopertutorial

Data structure tutorial 5: Circular Singly Linked List

In this chapter, we learn about Circular Singly Linked List.
Introduction to Circular Single Linked List.
Representation of Circular Single Linked List.
Operations performed on Circular Single Linked List.
Implementation of Circular Single Linked List.

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Dev

349

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This Runtime Meta-Programming Pattern in Python is Interesting

The current builder interface in the UI framework Zenaura was found to be complex and unappealing.
The goal was to simplify the interface and provide users with a cleaner syntax for creating UI elements.
A dynamically generated code approach was explored to achieve this, but it lacked auto-completion and usability.
The approach offers flexibility in adapting to changes in HTML tags, but usability is compromised.

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Dev

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Migrating from Azure Database for PostgreSQL to Neon

Azure Database for PostgreSQL can now be migrated easily to Neon, which offers serverless architecture, auto-scaling capabilities, and actual data storage billing. The migration process can be done using the utility tool pg_dump and pg_restore that can efficiently backup and restore a Postgres database. An accessible step-by-step guide is available for developers. Robust solutions that address scalability, complex dependencies, or strict security requirements are also available. Post-migration verification guarantees the integrity of data moved between the databases.
Azure Database for PostgreSQL offers the great Postgres features that many developers are familiar with while managing infrastructure for them. However, the fixed capacity that requires some overprovisioning could lead to heightened costs. Neon offers serverless architecture, which automatically scales compute resources to zero when idle and allows billing based on actual data size instead of provisioned capacity.
The step-by-step guide on how to easily migrate from Azure Database for PostgreSQL to Neon can be done by the tool pg_dump and pg_restore backed-up and restored a Postgres database that maintains dependencies and referential integrity. This process remains the most reliable way of migration, however, other options exist as well. For example, logical replication can be used for migrations of databases in the terabyte range.
Complex dependencies in Postgres that often create circular migration challenges include, for example, cross-schema references and custom extensions that don't have direct equivalents in the target system. A three-phase migration approach addresses the issue: pre-schema, schema, and post-schema. Security and Compliance-related challenges can be addressed by implementing a security-first migration pattern that includes tasks such as export and map of all roles and permissions.
The migration from Azure Database for PostgreSQL to Neon might take some planning, but the long-term advantages make it worthwhile. Neon's serverless architecture offers automatic scaling, capacity that matches real usage, and smarter cost efficiency.
Developers using Postgres features through Azure Database for PostgreSQL have the option to migrate to Neon's serverless architecture. The process is smooth, and robust solutions that address potential scalability, complex dependency, and strict security-related issues are also available. The migration options include logical replication and a three-stage migration approach method.
The method to migrate easily from Azure Database for PostgreSQL to Neon is using the utility tool pg_dump and pg_restore. Both backup and restore operations handle dependencies and referential integrity efficiently. Post-migration verification safeguards guarantee data integrity between the databases.
With Neon, one can enjoy Postgres features with the added benefits of serverless architecture, auto-scaling capabilities, and smarter cost efficiency. Migrating from Azure Database for PostgreSQL to Neon is an advantage worth taking, considering its familiar Postgres experience and convenience.
Large data volumes, complex dependencies, and compliance and security requirements create migration challenges when moving from Azure Database for PostgreSQL to Neon. Logical replication and a three-phase migration approach are viable solutions. A security-first migration pattern that addresses security policies, compliance requirements, audit logging, is a good practice to prevent unauthorized access during migration.
The step-by-step guide available for developers who need to migrate from Azure Database for PostgreSQL to Neon involves using the utility tool pg_dump and pg_restore, backed-up, and restored the Postgres database. The method maintains referential integrity and handles dependencies efficiently. Migrating to Neon offers smarter cost efficiency, serverless architecture, and automatic scaling capacity, providing a better user experience.
The migration from Azure Database for PostgreSQL to Neon opens up serverless architecture opportunities that are not available before. While the migration process requires careful planning, the long-term advantages are promising- like smarter cost efficiency, automatic scaling capacity, and better user experience.

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Prodevelopertutorial

196

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Data structure tutorial 4: Doubly Linked List [DLL]

Doubly Linked List is a special data structure, which is a collection of zero or more nodes.
Each node is made up of 3 parts, prev_link + data + next_link.
In a Doubly Linked List, we need to store the address information for the previous node and the next node.
The DLL operations include inserting an element at the rear, deleting an element with a given key value, searching for an element and displaying all the data.
The implementation of DLL includes defining structures for nodes, head pointer, and the 4 defined operations.
The C++ code presented inserts, deletes, searches and displays elements in a DLL.
When inserting elements at the rear, we check if head node is NULL.
If the head element is not NULL, we use the next pointer to move to the end of the list to add the element.
To delete an element we move the pointer temp to the element with that key, then update pointers for adjacent nodes before deleting the temp node.
To search an element we move the temp pointer to the head and check if the data is the same as key.

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Logrocket

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What does a fractional product manager do?

Fractional product managers(FPM) are part-time, contract-based product management professionals who work with organizations on a limited and flexible basis.
FPMs provide expertise and experience in areas like product strategy, product development, and operations (product DevOps).
Companies hire FPMs for cost-effectiveness, flexibility, and immediate impact, access to expertise and experience, and to address the growing complexity of product management.
FPMs differ from product consultants in engagement models, focus, duration, and deliverables.
Challenges faced by FPMs include limited organizational authority, income variability, client acquisition, and managing multiple clients.
Transitioning to a fractional product management role requires credibility, a good network, and a skill set to find and attract new clients.
FPMs often charge high hourly rates between $100 and $200 per hour.
Focus on setting clear priorities, reduce meeting loads, build strong relationships, communicate clearly, and continuously improve to be a successful FPM.
Fractional product managers are strategic part-time project managers who help companies with specialized skills and vast experience.
It’s especially valuable for startups and scaling companies that need specialized experience but aren’t willing to pay a full-time hire.

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Medium

411

Autonomys network

Autonomys Network is focused on creating a decentralized environment for AI agents to function autonomously and collaboratively.
AI agents within Autonomys Network operate independently or interact with other agents to achieve complex goals.
The ecosystem of Autonomys Network is built on distributed nodes, leveraging blockchain and AI for decentralized data processing, storage, and execution.
Autonomys Network aims to address challenges such as data centralization and AI governance, offering a transparent and scalable solution.

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24 Likes

Medium

367

What is c++?

C++ is one of the world's most popular programming languages used in operating systems, Graphical User Interfaces, and embedded systems.
C++ is an object-oriented programming language which provides clear structure to programs and allows code reusability, reducing development costs.
C++ is portable and can be utilized for developing applications that can be adapted to multiple platforms.
C++ is closely related to C, C#, and Java, making it easy for programmers to switch between these languages.

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Dev

295

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Boost Your Application's Performance with Redux RTK Query 🚀

Redux RTK Query is a powerful tool for managing data fetching and caching in React applications.
Key features include automatic caching, reduced boilerplate, optimistic updates, and efficient refetching.
Queries are used for reading or fetching data, while mutations are used for creating, updating, or deleting data.
RTK Query's built-in caching mechanism improves application performance by reducing API calls and minimizing component re-renders.

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Prodevelopertutorial

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Data structure tutorial 3: Singly Linked List

Singly Linked list is a special data structure, which is a collection of zero or more nodes.
The node is a combination of data + link.
A Singly Linked List is a collection of zero or more nodes where each node has 2 or more elements.
Deleting the element from the front end is simple.
To display all the node data, take a temp node, and iterate through all the elements present in the list.
Below is the code for SLL where the element is inserted at front end and deleted from front end.
The output from the program will display the inserted elements, deleted element and the final list.
There are different types of Linked Lists like Singly Linked List, Doubly Linked List, Circular Singly Linked List and Circular Doubly Lined List.
This article focuses on Single Linked List implementation using basic operations like insert, delete and display.
It is a useful data structure for storing and manipulating data in a sequential manner.

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Prodevelopertutorial

Data structure tutorial 2: Stack Implementation using Linked List

In this chapter, we learn about stack implementation using a linked list.
Topics covered include introduction to linked list, inserting elements into a stack using a linked list, implementation of stack using a linked list, and the output of the program.
The chapter starts with an introduction to a simple linked list structure.
The chapter explores inserting elements into a stack using a linked list in four steps: allocating memory for a new node, updating the data field with the value, pointing the 'next' pointer of the new node to the head pointer, and returning the new node.

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