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

A naukri.com initiative

New

Home

Programming News

PlanetPython

444

Image Credit: PlanetPython

Django Weblog: Django security releases issued: 5.2.1, 5.1.9 and 4.2.21

Django security releases for versions 5.2.1, 5.1.9, and 4.2.21 have been issued to address CVE-2025-32873 related to a denial-of-service possibility in strip_tags().
The vulnerability in django.utils.html.strip_tags() could result in slow evaluation of certain inputs with large incomplete HTML tags, affecting the striptags template filter.
Patches have been applied to Django's main, 5.2, 5.1, and 4.2 branches to resolve the issue, and users are advised to upgrade promptly to mitigate the security risk.
The Django team advises reporting security issues via private email to [email protected] and not through public platforms like Trac or the Django Forum.

Read Full Article

26 Likes

Johndcook

Converting between quaternions and rotation matrices

Quaternions offer advantages in representing rotations and can be converted to rotation matrices.
Converting a rotation matrix to a quaternion involves using the Chiaverini-Siciliano method.
Quaternions and 3 by 3 matrices have three degrees of freedom each, despite differences in the number of components.
Python code snippets provided for converting between quaternions and rotation matrices, along with random testing for verification.

Read Full Article

Johndcook

178

Composing rotations using quaternions

Every rotation in 3D fixes an axis, as per Euler’s rotation theorem from 1775.
The composition of two rotations is a rotation, where the first rotation fixes an axis, the second rotation fixes another axis, and the composition fixes a third axis.
To represent rotations using quaternions: a rotation by θ about an axis given by a unit vector v corresponds to a specific quaternion.
Composing rotations represented by quaternions is straightforward, as rotating by two quaternions q and r is equivalent to rotating by rq.

Read Full Article

10 Likes

PlanetPython

238

Python Insider: Python 3.14.0 beta 1 is here!

Python 3.14.0 beta 1 is the first beta release of Python 3.14, offering a preview of the upcoming features and changes.
Maintainers of third-party Python projects are encouraged to test with 3.14 during the beta phase and report any issues.
Some major new features in Python 3.14 include deferred evaluation of type annotations and Template string literals (t-strings).
The release also introduces a new module for Zstandard compression and improved C API for configuring Python.
UUID versions 6-8 are now supported, and there are enhancements in error messages and built-in HMAC.
Python 3.14 does not recommend use in production environments and aims for minimal code changes after the first release candidate.
Build changes in Python 3.14 include no PGP signatures for release artifacts and an experimental JIT compiler in macOS and Windows binaries.
The release also incorporates improvements in the Python install manager, recommending a new install manager for Windows.
Python 3.14 beta 2 is scheduled for 2025-05-27, with ongoing efforts to enhance the release.
The article also delves into the history of the mathematical constant pi and its symbol origins, shedding light on early mathematicians' contributions.

Read Full Article

14 Likes

Dev

247

Image Credit: Dev

Cursor is now free for Students

Cursor, an AI coding editor, is now free for students.
Cursor offers features like an AI pair programmer and code understanding.
It is emphasized that tools like Cursor are enhancers, not shortcuts, to learning coding.
The key is to first learn to think in code, then utilize AI tools for speed and effectiveness.

Read Full Article

14 Likes

Dev

155

Image Credit: Dev

Shallow Copy Vs Deep Copy

Shallow copy in JavaScript involves copying only the top level of an object or array, not fully copying nested objects or arrays which results in changes reflecting in original as well.
Deep copy in JavaScript involves copying everything including nested objects or arrays, creating a totally separate copy from the original, preventing changes in original from affecting the copy.
Shallow copy can be achieved using methods like Object.assign() or spread operator, while deep copy can be done using JSON methods like JSON.parse(JSON.stringify()) or libraries like Lodash.
It is recommended to use shallow copy for simple objects where full separation is not needed, and deep copy for objects with nested data when a completely independent copy is required to avoid unexpected bugs.

Read Full Article

9 Likes

Medium

Image Credit: Medium

Why Technical SEO Matters More Than You Think – Full Beginner-Friendly Guide

Technical SEO is essential for growing your website, blog, or online business by helping search engines properly access and understand your site.
Backend improvements in technical SEO focus on site speed, mobile-friendly design, secure connection with HTTPS, clean URL structure, and fixing crawl errors.
Key aspects of technical SEO include optimizing site speed for better rankings and user experience, ensuring mobile-friendly design for all devices, and using HTTPS for trustworthiness.
Structured data in technical SEO helps Google understand content better, leading to rich results in search and improved visibility.

Read Full Article

3 Likes

Logrocket

270

Image Credit: Logrocket

Running TypeScript in Node.js: tsx vs. ts-node vs. native

TypeScript brings static typing to JavaScript, reducing bugs and unpredictable behavior.
Initially, TypeScript in Node.js required compilation to JavaScript before execution.
Node.js added experimental support for TypeScript using type stripping in v22.6 release.
TypeScript runners allow direct execution of TypeScript code, improving development efficiency.
Node.js type stripping removes type declarations and annotations from TypeScript code.
TypeScript runners handle both development steps at once and are optimized for speed.
Node.js type stripping is experimental, not recommended for production yet.
Using ts-node, developers can run TypeScript code directly in Node.js with type checking.
tsx module is a third-party tool for executing TypeScript in Node.js with optimization.
tsx uses esbuild for quick transpilation and executes TypeScript code efficiently.

Read Full Article

16 Likes

Logrocket

Image Credit: Logrocket

Apple lost to Epic Games: What’s next for mobile products?

The legal dispute between Apple and Epic Games concluded with a ruling in favor of Epic Games, allowing developers to bypass Apple's 30% transaction fee by using alternative payment methods.
The dispute started in August 2020 when Epic Games intentionally violated Apple's store policies, leading to a series of legal battles.
After various court rulings and appeals, the final ruling in April 2025 mandated Apple to stop collecting commissions on transactions outside the App Store and permit alternative payment methods.
The market reacted swiftly, with platforms like RevenueCat offering new capabilities for integrating alternative payment methods in apps.
The impact extends to mobile app monetization, providing developers with options to continue using app store purchases, adopt alternative payment methods, or support both.
Alternative payment methods offer benefits such as avoiding Apple's high commission fees, greater data control, and flexibility in pricing strategies.
On the other hand, App Store purchases offer simplicity and seamless user experience, albeit with higher fees and less control over payment processes.
The ruling presents new opportunities for mobile product managers to experiment with different payment setups and optimize monetization strategies.
Apple's next move remains uncertain, with potential adjustments to its monetization strategy in response to increased competition and changing market dynamics.
As Apple's dominance in the mobile apps market weakens, the company may need to adapt to retain competitiveness and revenue.

Read Full Article

2 Likes

Medium

409

Image Credit: Medium

Vibe Coding in Action — Building Apps with Natural Language and AI

Alejandra, a software engineer, demonstrated vibe coding using a smart terminal called Warp to build apps with natural language and AI.
The terminal helps in creating apps by following voice commands to specify the app requirements, like removing image backgrounds using Python and Streamlit.
Vibe coding eliminates the need for IDE, tab-switching, or searching StackOverflow threads, providing a seamless coding experience.
While AI tools offer convenience, the importance of trust, transparency, and understanding code implications remains crucial in the development process.

Read Full Article

24 Likes

Medium

393

Image Credit: Medium

Scented Candles, Dark Mode, and Swagger Docs: My Ideal Vibe Coding Environment

A developer shares their experience of hitting a wall in their coding career after four years.
Realizing the need for a change in their workflow, the developer embraced 'vibe coding' by reimagining their coding environment.
Instead of following tutorials, the developer took a mental health break and incorporated elements like scented candles and headphones into their workspace.
This new approach, termed 'vibe coding,' helped the developer boost productivity and reignite their passion for coding.

Read Full Article

23 Likes

Medium

306

The-Knight-s-Tour-Problem

Core backtracking function to find a solution to the Knight's Tour problem on a chessboard.
Function parameters include the board, current position of the knight, and move number.
Iterates through possible moves, marks visited squares, and backtracks if no solution is found.
The function prints the board after the knight completes its tour, showing the order of visited squares.

Read Full Article

18 Likes

Dev

425

Image Credit: Dev

Taming Complex Codebases with AI: Your Thoughts?

Software engineer shares struggles of dealing with complex codebases and outdated documentation.
Proposed solutions include using AI to generate folder-level README.md files and fine-tuned embeddings for smarter code search.
The aim is to simplify understanding complex projects and keeping documentation up to date.
Community engagement sought for feedback and collaboration on these ideas and open-source project development.

Read Full Article

25 Likes

Alvinashcraft

123

Dew Drop – May 7, 2025 (#4414)

Microsoft introduces new Surface Copilot+ PCs including Surface Pro and Surface Laptop
.NET CLI tool can now be turned into a local MCP Server for GitHub Copilot in VS Code
Fedora Linux becomes an official WSL distro, Nested App Authentication now available in Microsoft 365
New updates in Kubernetes v1.33, Node v24.0.0 released, and Windows experiences improved

Read Full Article

7 Likes

TechBullion

389

Image Credit: TechBullion

The Rise of AI-Generated Code: Will It Replace Developers?

The rise of AI-generated code tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer offers real-time code suggestions and the ability to generate functions from natural language.
The question of whether AI will replace developers or collaborate with them is a crucial one in the tech world.
AI is transforming coding workflows, job roles, and the relationship between human and machine in software development.
AI has become essential in boosting productivity, reducing time-to-market, and reshaping how modern software is built.
AI-assisted coding tools are streamlining development tasks and embedding themselves at every level of the development cycle.
AI eliminates repetitive tasks, improves productivity, helps cut costs, and increases speed in software development.
AI is democratizing software development by lowering entry barriers and improving code quality and security.
Despite AI's advancements in writing code and suggesting solutions, human developers remain vital in understanding business goals and making critical decisions.
The future points to enhanced collaboration between AI systems and human developers rather than full automation, creating new job roles for AI-augmented engineers.
By 2030, AI is expected to handle a significant portion of routine development tasks, allowing developers to focus on system architecture, security, and product logic.
The future likely involves AI-maintained systems, regulatory frameworks for AI-generated IP, and AI governance as core parts of the software lifecycle.

Read Full Article

23 Likes

For uninterrupted reading, download the app

Programming News

Discover more