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

A naukri.com initiative

New

Home

Programming News

Medium

363

Why Java Still Forces You to Write Functions Inside a Class — and What That Says About Its Broken…

Java was designed for corporations and control, not individual developers, leading to the requirement of writing functions inside a class since 1995.
The necessity of placing every utility function within a class in Java is based on the 'everything is an object' philosophy of OOP, which has become outdated with the evolution of UIs, APIs, microservices, and mobile apps.
Kotlin introduced top-level functions, null safety, extension functions, and coroutines, providing more flexibility and modern features that Java lacks.
Java's reluctance to adapt and evolve restricts developers and prevents the language from keeping up with the changing demands of software development.

Read Full Article

21 Likes

Dev

400

Image Credit: Dev

How Async/Await Evolved from Generator-Based Coroutines

Python's async journey evolved from using generators as a fundamental feature before async/await made asynchronous programming smoother.
Generators were key in introducing the concept of pausing functions with yield, allowing lazy computation and two-way interactions.
Building on generators, coroutines emerged, enabling functions to pause, wait for input, and resume, leading to scenarios like chatbot interactions.
Event loops came into play for managing multiple coroutines automatically, initially using generator-based coroutines before getting complex with yields.
Python 3.3 introduced yield from to chain generators and compose coroutines, improving the readability and composition of event loop code.
Python 3.4 brought asyncio, offering an official event loop and @asyncio.coroutine decorator, setting the stage for async/await syntax in Python 3.5.
Python 3.5 introduced async and await keywords, making coroutine functions clearer and more intuitive, simplifying async operation handling.
Despite using async/await syntax, Python still leverages generator machinery, with coroutine objects acting as paused functions for tools like asyncio.
The evolution from generators to async/await showcases Python's incremental improvements and thoughtful steps in enhancing language features.
Understanding this journey aids in appreciating and debugging async code, emphasizing the significance of earlier concepts like yield.

Read Full Article

24 Likes

Medium

100

Image Credit: Medium

Simple Library HTTP REST API App in Go

Blog post detailing the creation of a simple HTTP REST API application in Go with Gin as the HTTP framework.
The application is designed to manage books in a library, offering functionalities for create, read, update, and delete operations.
Testing for this application is primarily conducted using unit testing with the libraries testify and testify/mock.
The application structure includes components like entity, repository, service, handler, and main with endpoints for various CRUD operations on books.

Read Full Article

6 Likes

Medium

Image Credit: Medium

How To Rewrite Class Components to Functional Components in React

In class components, state is declared and updated using this.state and this.setState. In functional components, state can be managed using the useState hook.
Class components use lifecycle methods like componentDidMount and componentWillUnmount for side effects. The equivalent in functional components is useEffect hook.
In class components, methods are often bound to 'this' or class fields, whereas in functional components, functions are defined within the component scope, eliminating the need for binding.
Functional components receive props as function arguments, while class components access props through this.props.

Read Full Article

4 Likes

Medium

400

How I build and launch apps with AI, fast.

When building and launching apps with AI, focus on documentation like PRD, UX, MVP Concept, Test Plan, and v0.dev Design.
Consider using no-code options if coding basics are unknown, but with a computer science degree, venturing into coding might be less risky.
Choose a technical stack based on your product needs and familiarize yourself with key aspects like javascript for frameworks or SQL for databases.
Whether coding or using no-code solutions, leverage tools like Cursor for assistance, but be cautious of LLM knowledge cutoffs and review AI-generated code.

Read Full Article

24 Likes

Technically Dev

Image Credit: Technically Dev

How can AI use websites?

AI models use web browsers to navigate the internet, but browsing the web is complex due to the non-deterministic nature of websites.
Browserbase develops software for AI models to browse the web effectively, overcoming challenges like website changes and security concerns.
Tools like Selenium work well for specific sites but are not suitable as a base layer for AI models needing to browse any site.
Browserbase focuses on creating a headless browser tailored for AI models, eliminating unnecessary graphic elements and providing control through automation frameworks.
Open Operator, a browser for AI models, was introduced by Browserbase as an open-source alternative to proprietary solutions like Operator from OpenAI.
Open Operator is powered by Vercel and allows users to browse the web using AI, with the ability to switch between different AI models conveniently.
Using Vercel's AI SDK, Browserbase developed Open Operator swiftly and efficiently, leveraging tools like v0 for UI design.
The Browserbase team utilized Vercel's infrastructure for hosting Open Operator, ensuring smooth functionality and proper security measures.
Positive reception for Open Operator has been noted, with GitHub stars and mentions on platforms like YouTube, showcasing its success without extensive marketing efforts.
The development process of Open Operator demonstrates the collaboration between AI technology and web infrastructure to enhance browsing capabilities for AI models.

Read Full Article

5 Likes

Logrocket

181

Image Credit: Logrocket

PM mentorship: The missing skill in product leadership

Developing other PMs is a crucial skill for product leaders and mentorship plays a key role in this aspect.
Mentorship in product management is distinct from coaching or leadership, offering comfort and unbiased feedback.
PM mentorship contributes to skill enhancement by facilitating confidence-building and problem-solving abilities.
Soft skills like roadmap optimization, prioritization techniques, and customer insights are popular topics for mentorship.
Establishing trust, maintaining confidentiality, and setting clear agendas are vital for effective mentorship sessions.
Different models like one-session mentoring and ongoing mentorship help address varied technical and skill development needs.
Structured mentorship programs aid in identifying mentees' needs, enhancing engagement, and guiding individual growth.
Choosing appropriate leadership styles based on mentees' competence and commitment levels is crucial in mentorship.
Building a PM mentorship network fosters peer support, knowledge sharing, and better team collaboration.
Mentorship bridges the gap between theory and practice, providing valuable insights, enhancing decision-making, and nurturing empathy in product leadership.

Read Full Article

10 Likes

Medium

249

Image Credit: Medium

When ChatGPT Meets Copilot: From Painter to Artist

AI tools are changing the role of developers, shifting focus towards conceptualization and design aspects of coding.
There is a distinction between coding tools and reasoning models, but the potential of a seamless integration creating coherent code is explored.
The idea is not automation but co-creation, where developers become conductors of intent in collaboration with AI tools.
The shift is towards developing apps from a single prompt while maintaining clear internal logic and scalability in production contexts.

Read Full Article

13 Likes

Dev

104

Image Credit: Dev

DSA Day 1: Introduction to Arrays – "The Building Block of Programming"

An array is a collection of elements stored at contiguous memory locations, each identified by an index or key, allowing efficient access.
Key characteristics include fixed size, homogeneous elements, contiguous memory, zero-based indexing, and random access.
Basic array operations include accessing elements in O(1) time, insertion and deletion complexities, traversal, and searching techniques.
Dynamic arrays like ArrayList in Java and List in Python overcome fixed-size limitations, and common array algorithms include two-pointer technique, sliding window, prefix sums, Kadane's algorithm, and Dutch National Flag Algorithm.

Read Full Article

6 Likes

Medium

204

Image Credit: Medium

Go Just Outshined Python for This One Reason

In the world of programming, developers compare languages to find the best tool for their projects.
Python is known for its simplicity and versatility, while Go (Golang) is gaining traction for performance and concurrency.
Go outshines Python in concurrency and scalability for high-performance systems due to its design and concurrency model.
The article emphasizes Go's strengths in concurrency, making it a compelling choice for certain applications, while acknowledging Python's advantages.

Read Full Article

12 Likes

Medium

300

Why Outliers Are a Major Headache in Data Analysis

Outliers, known as non-robust estimators, can significantly impact data analysis by skewing averages and leading to incorrect conclusions.
Outliers inflate variance and confidence intervals, causing models to perceive data as more variable than it actually is, resulting in flawed forecasts and testing outcomes.
Outliers can violate model assumptions such as normality and equal variance, leading to biased parameter estimates and misleading feature importance.
Outliers hide true patterns in data, obscuring trends, seasonality, and periodicity, making it challenging to identify meaningful insights.

Read Full Article

18 Likes

Medium

190

Image Credit: Medium

Gemini vs. GPT-5: Comparing AI Capabilities and Choosing the Right Tool

The debate between Google’s Gemini and OpenAI’s upcoming GPT-5 intensifies as AI technology advances.
OpenAI's GPT-5 aims to consolidate various specialized models into a unified system with multimodal capabilities for a seamless user experience.
Gemini 2.5 by Google already offers native multimodality with text, images, audio, and video inputs, presenting a notable feature with its 1 million token context window for lengthy document analysis.
Understanding the strengths, limitations, and ideal use cases of both platforms can assist users in navigating the evolving AI landscape.

Read Full Article

11 Likes

Medium

231

Image Credit: Medium

The Cell Broadband Engine: A Pioneer in Heterogeneous Computing

The Cell Broadband Engine (Cell/B.E.) was a pioneering multi-core processor architecture created by a partnership between Sony, Toshiba, and IBM in the mid-2000s to meet the demand for high-performance computing in multimedia, gaming, and scientific applications.
It featured a heterogeneous architecture that combined a general-purpose core with multiple specialized coprocessors, making it a trailblazer in heterogeneous computing.
The Cell/B.E. integrated a dual-threaded PowerPC core (PPE) for general-purpose tasks and eight SIMD architectures (SPEs) for parallel throughput via Element Interconnect Bus (EIB) and high-speed memory controller.
Initially designed for gaming consoles and ultra-high-performance computing, the Cell/B.E. saw iterations at 90 nm, before transitioning to 65 nm and 45 nm processes for power efficiency improvements.
It powered Sony’s PlayStation 3 and the Roadrunner supercomputer, the world’s first petaFLOPS supercomputer, showcasing its application versatility and performance.
The Cell Broadband Engine demonstrated the benefits of heterogeneous computing, optimizing performance and energy efficiency by combining general-purpose and specialized cores.
Despite its programming complexity, the architecture influenced modern heterogeneous systems like GPU-accelerated computing (e.g., NVIDIA’s CUDA) and CPUs with integrated accelerators (e.g., Intel’s Xeon Phi).
While programming challenges existed, the Cell/B.E. paved the way for heterogeneous architectures in consumer electronics, such as gaming consoles and smartphones, impacting the design of processors in use today.
The Cell Broadband Engine remains a historic achievement, reshaping the landscape of heterogeneous computing and setting the stage for sophisticated computational capabilities through the fusion of diverse processing elements.
Its legacy lives on in modern computer architecture, highlighting the possibilities and benefits of combining multiple processing elements for enhanced performance and efficiency.

Read Full Article

13 Likes

Dev

413

Image Credit: Dev

Uploading Files to Cloudflare R2 from the Frontend (No Axios Needed!)

Building a file upload feature for your web app without using a backend by uploading files directly to Cloudflare R2 using a pre-signed URL and plain fetch.
Step 1: Generate a Signed Upload URL on the Server to avoid exposing R2 credentials on the frontend.
Step 2: Upload from the Frontend using Fetch with a minimal example of HTML file input and plain JavaScript for faster and secure file uploads straight to Cloudflare.
Make sure your R2 bucket has CORS enabled for PUT requests to ensure smooth functionality.

Read Full Article

24 Likes

Dev

150

Image Credit: Dev

What It Takes to Build a Live Crypto Trading Tournament (From a Web3 Dev’s Perspective)

Building a real-time trading tournament involves processing thousands of trades per second, ensuring fair execution, updating scores in real-time, preventing manipulation, and maintaining security.
Ensuring a seamless UX/UI experience in a trading competition is crucial to avoid delays that could cause financial losses or liquidations.
Adding a broadcast layer with live commentary, visuals, rankings, and analytics to a trading tournament increases complexity in terms of synchronization and integration.
DevOps, scaling, and flawless execution are essential when running a live global event with no room for errors, showcasing technical prowess and platform maturity.

Read Full Article

9 Likes

For uninterrupted reading, download the app

Programming News

Discover more