Programming News and Topics: Latest News on Computer Programming from Techminis

A naukri.com initiative

New

Home

Programming News

Logrocket

117

Image Credit: Logrocket

How to use the array filter() method in JavaScript

The array filter() method filters an array based on a given condition, returning a new array with elements that meet the condition.
The filter() method syntax is defined as const newArray = originalArray.filter(callbackFunction(element, index, array), thisArg);
The callbackFunction defines the rule for filtering and returns a Boolean value to include elements in the new array.
The filter() method automatically creates a new array with elements that satisfy the filtering condition.
Practical use cases of filter() include basic filtering, searching in an array, filtering objects by properties, filtering invalid data, and filtering duplicate values.
Advanced techniques involve chaining filter() with other methods like map() and reduce() for more complex transformations.
Best practices for efficient filtering logic include optimizing callbacks, using arrow functions, breaking down complex chains, maintaining immutability, and considering performance implications for large datasets.
The article covers examples such as filtering product prices, searching names, filtering objects by specific properties, and removing duplicate values efficiently.
Chaining filter() with map() can refine API response data, while chaining with reduce() is useful for filtering and accumulating results.
Overall, understanding and applying the discussed best practices can lead to cleaner, more efficient, and maintainable code when using the array filter() method in JavaScript.

Read Full Article

7 Likes

Medium

402

Unlocking the Potential: The Advantages and Disadvantages of Artificial Intelligence

Enhanced Efficiency and Productivity: AI-driven systems improve operational efficiency, saving time and enhancing productivity.
Precision and Accuracy: AI algorithms enable accurate disease diagnosis and reduce human error in complex tasks.
24/7 Availability: AI-powered systems ensure round-the-clock operations and the provision of customer support.
Innovation in Everyday Life: AI applications like virtual assistants and recommendation algorithms simplify tasks and enhance experiences.

Read Full Article

24 Likes

Medium

348

Image Credit: Medium

The OpenxAI Revolution: How A New Platform Is Democratizing Artificial Intelligence

OpenxAI is a platform that is actively democratizing artificial intelligence by addressing barriers to entry in AI development.
It offers a user-friendly interface for beginners in AI and affordable access to computing power through its GPU marketplace.
OpenxAI fosters innovation through global collaboration, enabling users to share insights and work together on projects.
The platform not only aims for fairness but also seeks to unleash collective creativity by making AI accessible to everyone.
OpenxAI's decentralized model and community-driven ethos contribute to a more inclusive and transparent environment.
It enables individuals, researchers, educators, businesses, and creative professionals to explore AI applications across various domains.
The platform's scalability and flexibility cater to diverse user needs, whether for small projects or large-scale deployments.
By integrating Web3 technologies, OpenxAI ensures users retain ownership of their data and models, promoting collaboration and contribution.
OpenxAI's approach to democratizing AI may revolutionize the landscape by empowering a more diverse set of voices in AI development.
The platform's focus on technical innovation, community governance, and accessibility positions it for long-term success in catalyzing innovation.

Read Full Article

20 Likes

Medium

294

Image Credit: Medium

Auto-Tag Sensitive BigQuery Data & Never Touch The UI Again

Implementing a data governance policy at an organization level is integral to data security, especially regarding sensitive data.
Many individuals will be able to view, query, and manipulate the data throughout its journey.
Data engineers focus on data presentation rather than ensuring appropriate access.
PaaS vendors like Google Cloud Platform provide tools to define and enforce data governance policies.

Read Full Article

17 Likes

Medium

Image Credit: Medium

Why isn’t Bitcoin price surging despite the falling US Dollar Index?

Bitcoin price has not surged despite the falling US Dollar Index.
Historically, Bitcoin and the US Dollar Index showed a positive correlation.
Recently, Bitcoin's price seems to be affected by other factors such as global monetary supply and its role as uncensorable money.
The slow reaction of Bitcoin to the recent DXY dip may be an indication of impending bullishness.

Read Full Article

4 Likes

Dev

172

Image Credit: Dev

Accessing the Google API Discovery API and its Associated Discovery Documents

The Google API Discovery Service serves as a dynamic catalog for API integration.
Discovery Documents, in JSON format, provide specifications for accessing APIs via RESTful HTTP calls and include authentication scopes and inline documentation.
Developers can access the Directory of Google APIs to retrieve a directory of supported APIs and their metadata.
The Google API Discovery API can be accessed programmatically using libraries like googleapiclient or requests.

Read Full Article

10 Likes

Medium

253

Image Credit: Medium

11 Open-Source Projects That are Legit Game-Changers

APITable is an open-source tool that enables building apps with a spreadsheet vibe.
It integrates with over 6,000 other apps via Zapier, allowing for easy automation of tasks.
APITable is cost-effective and team-friendly, making it a great choice for quick app development.
GitHub link: https://github.com/apitable/apitable

Read Full Article

15 Likes

Appsilon

194

Image Credit: Appsilon

Appsilon at ShinyConf 2025: Pushing the Boundaries of Shiny Development

ShinyConf 2025 is set to bring the global Shiny community together with talks and workshops focused on improving Shiny app performance, scalability, and usability.
Workshops will cover topics like optimizing performance in Shiny, unclogging scripts with Plumber in R, and understanding Shiny reactivity.
AI in Shiny talks will explore practical applications of AI tools for building apps, including using LLMs in Shiny and evaluating AI in Shiny developer interviews.
UI/UX and creative app talks will discuss the importance of color in app design, updates in the Appsilon open-source ecosystem, and personal projects like turning Goodreads data into a Shiny app.
Speakers will also address deploying and scaling Shiny apps for enterprises, with topics such as adoption tracking, internal R packages at Elkem, and integrating {teal} into Shiny frameworks.
Strategies like pre-commit hooks, {renv} profiles, and release management will be shared to enhance Shiny projects, along with tips on deploying with confidence using feature flags and staged rollouts.
A keynote will focus on R and Shiny in clinical trials, highlighting their role in speeding up processes and enhancing decision-making in the pharmaceutical industry.
ShinyConf 2025 promises practical insights for all levels of Shiny users, emphasizing performance improvements, AI integration, better app design, and deployment strategies.
Whether you're a beginner or experienced Shiny developer, there's valuable content awaiting you at ShinyConf 2025. Register now to be part of this innovative event!
For more information and updates, visit appsilon.com/blog/.

Read Full Article

11 Likes

Medium

1.1k

Image Credit: Medium

The Impact of Artificial Intelligence on Call Center Jobs: Evolution or Extinction?

AI is rapidly automating routine customer service tasks, such as chatbots, voice assistants, and AI-powered IVR.
AI is shifting job roles in call centers, automating repetitive tasks while creating new roles in AI management.
Call center employees can adapt by developing soft skills, learning AI and automation tools, and transitioning to higher-value roles.
The future of call centers is a hybrid model where AI handles routine queries and humans focus on complex issues and personalized interactions.

Read Full Article

10 Likes

Johndcook

203

Advantages of Reed-Solomon codes over Golay codes

When Voyager 1 and 2 left Earth, their internal computers were programmed to use Golay error correction codes.
Images transmitted from Jupiter and Saturn were encoded using Golay codes.
After leaving Saturn, the software was upgraded to use Reed-Solomon error correction codes.
Advantages of Reed-Solomon codes include lower overhead and improved error correction compared to Golay codes.

Read Full Article

12 Likes

Infoq

330

Image Credit: Infoq

Podcast: Simplify Your System By Challenging The Status-Quo And Learning From Other Ecosystems

In a podcast, Max Rydahl Andersen from RedHat and the creator of JBang talks about simplifying systems by continuously learning from other ecosystems and adopting new tools to increase developer joy and build safer systems.
Generative AI can enable more people to write code but may result in larger scale faulty systems.
Exploring different programming ecosystems can provide new perspectives and simplify certain aspects.
Quarkus, a Java framework inspired by Python and node.js, focuses on doing most tasks at build time to achieve faster performance.
Having an open mind to adopt different paradigms is essential for simplifying systems.
Accepting simplicity in certain aspects of coding can lead to better outcomes.
Max Rydahl Andersen discusses the importance of continuous learning and improvement in the Java ecosystem.
JBang is a tool created by Max Rydahl Andersen to streamline Java development by making it easy to experiment and try new libraries quickly.
JBang simplifies Java development with a focus on safety and simplicity, allowing for easy bootstrapping of Java projects.
Andersen emphasizes the importance of learning from other ecosystems and integrating new tools to enhance the Java development experience.

Read Full Article

19 Likes

Medium

380

Image Credit: Medium

Unlocking the Power of Narrative Prompts: How Storytelling Transforms ChatGPT's Performance

Narrative prompts are a specialized form of prompt engineering where instructions are framed as a story.
They provide rich contextual information and help language models generate more accurate and creative responses.
Instead of direct queries, narrative prompts use storytelling to provide detailed settings, characters, and plotlines.
This approach enhances the model's performance and taps into a broader range of its internal knowledge.

Read Full Article

22 Likes

Dev

Image Credit: Dev

Consuming an Azure ML service from .NET

This post explains how to easily call Azure Machine Learning inference services from .NET using strong typed objects.
The post provides an example of calling the scoring service from Postman by posting a JSON with column names and their respective values.
The code samples demonstrate how to define the request in C# using a class named InputData and how to convert a strong typed object to the required input for the API.
The AzuremlClient class is shown as an example of an Azure ML inference client that can be injected and used to call the inference endpoint.

Read Full Article

3 Likes

Dev

Image Credit: Dev

Introduction to Java — Why Learn Java in 2025?

Java is one of the most popular and long-lasting programming languages in the world.
Java is still important in 2025 due to its wide usage and versatility.
Reasons to learn Java in 2025: it is super popular, easy to start, write once and run anywhere, great for big projects, and has huge community support.
Java is a cool and powerful language to learn in 2025, enabling the creation of games, mobile apps, and business software.

Read Full Article

4 Likes

Dev

244

Image Credit: Dev

🚀 I Built My First Project: A Beginner's Journey into Web Development

Matilda Osei, a beginner developer, shares her experience building her first project, a simple SocialBook App.
The project features a responsive design optimized for desktop and mobile and utilizes semantic HTML and basic styling.
Challenges faced during the project include handling UI updates dynamically, persisting tasks after refresh, and styling with CSS.
Lessons learned include the importance of DOM manipulation, the usefulness of console.log() for debugging, and breaking problems into smaller steps for easier coding.

Read Full Article

14 Likes

For uninterrupted reading, download the app

Programming News

Discover more