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

A naukri.com initiative

New

Home

Programming News

Dev

288

Image Credit: Dev

Human-Readable IDs in PrismaJS with a few lines of code

Use prisma-prefixed-ids to automatically generate prefixed, human-readable IDs (like usr_abc123) in your Prisma models.
Install and use prisma-prefixed-ids with just one line of setup in your Prisma projects to improve ID clarity and structure.
The extension plugin uses nanoid for generating shorter, URL-safe, and high-entropy IDs, providing about 128-bit randomness.
You can also create a custom ID generator to customize the ID format and length using the prisma-prefixed-ids plugin.

Read Full Article

17 Likes

Dev

174

Image Credit: Dev

How ads are so relevant: they use HTTP cookies 🍪, but how?

HTTP cookies are used to make ads relevant by storing data on the client's browser and sending it to the server in every request.
Cookies store information like auth tokens, personalized data, and any data that can tailor the data returned to the client by the server.
Attributes set on cookies, such as HttpOnly, Secure, Domain, and SameSite, play important roles in their functionality.
HttpOnly cookies can be sent with requests but cannot be accessed using JavaScript when the HttpOnly attribute is set to true.
Secure attribute ensures that cookies are only sent in secure (https) connections and not in insecure (http) connections.
Domain attribute specifies for which domain the cookies are set, and cookies can only be set for the current domain, not for others.
SameSite attribute has values like Strict, Lax, and None, affecting how cookies behave in cross-site requests and redirects.
Ad providers make ads relevant by using third-party cookies, allowing them to track user actions and show related ads across different websites.
To prevent tracking by ad providers, users can block third-party cookies in their browsers.
Developers are advised to set cookie attributes carefully to prevent cookie-related attacks, while users can protect their privacy by managing cookie settings.

Read Full Article

10 Likes

Dev

Image Credit: Dev

[Help] Issues integrating AdMob with Expo (Kotlin version conflict)

There is an issue integrating AdMob with Expo due to a Kotlin version conflict.
The user encountered a Kotlin version error when adding an AdMob banner component.
Attempts to change the Kotlin version in build.gradle and using expo-build-properties did not resolve the issue.
The user is seeking guidance or examples on how to successfully integrate AdMob with a recent Expo setup.

Read Full Article

1 Like

Medium

384

Image Credit: Medium

Confessions of a Tech Lead: Nobody Reads Docs

Confessions of a Tech Lead: Nobody Reads Docs
Despite the importance placed on documentation, the reality is that people often rely on search engines and forums for answers instead.
The author recounts their experience of creating what they believed to be perfect onboarding documentation, only to have someone ask them a question that was clearly addressed in the README.
This confession highlights the common challenge in the tech industry: the tendency for individuals to search for quick solutions rather than thoroughly reading documentation.

Read Full Article

23 Likes

Dev

279

Image Credit: Dev

Clojure Is Awesome!!! [PART 22]

Clojure, created by Rich Hickey, originated from his frustration with verbosity in mainstream languages like C, C++, and Java, and was announced in 2007 at the JVM Language Summit.
Inspired by Lisp, Clojure's emphasis on immutability, functional programming, and clean design sets it apart from traditional languages.
Initially released in 2009, Clojure integrated with the JVM, offering solutions for concurrent programming and modern challenges during the mid-2000s.
Clojure draws inspiration from languages like Java, ML, Haskell, and Scheme, incorporating ideas from concurrent programming and data-oriented design.
Built on the JVM, Clojure extends its capabilities with ClojureScript for JavaScript and emphasizes simplicity, immutability, functional programming, and easy concurrency.
Rich Hickey's deliberate design principles focus on simplicity, immutability by default, functional programming, and making concurrency manageable.
Clojure's relevance today lies in its advanced concurrency handling, data manipulation focus, rich ecosystem, and thriving community.
Clojure's impact on modern languages and frameworks showcases its timeless yet forward-thinking nature, reflecting Rich Hickey's vision.
Clojure's design philosophy resonates with developers seeking simplicity, immutability, functional programming, and pragmatic solutions for real-world problems.
Clojure's evolution and influence highlight its significance in the programming landscape, emphasizing its practicality and community-driven development.

Read Full Article

16 Likes

Medium

331

Python for CAD Admins: Automate Your Workflow Like a Boss

Python is an ideal programming language for CAD admins to automate their workflows in software like AutoCAD, Revit, and SolidWorks.
Python offers a range of use cases, including batch file processing, layer and property management, error checking and cleanup, custom reports and data extraction, and automated standards enforcement.
To get started, CAD admins can follow a few steps, including downloading Python from python.org, learning the basics of Python programming, utilizing CAD-specific libraries such as pyautocad, pyRevit, and win32com.client, and starting with small scripts to automate simple tasks.
CAD admins can mitigate risks by testing on backup files, beginning with read-only operations, and seeking assistance from AI tools like ChatGPT or Copilot for code debugging.

Read Full Article

19 Likes

Dev

371

Image Credit: Dev

Introducing Razen Lang – A Lightweight, Beginner-Friendly Language 65% Simpler Than Python!

Introducing Razen Lang – A Lightweight, Beginner-Friendly Language 65% Simpler Than Python!
Razen Lang is a lightweight, ultra-fast programming language designed for scripting, prototyping, and small tools.
Key features include super lightweight and optimized for speed, 65% easier to learn than Python, Python-like syntax, built-in debugging tools, minimalistic and fast interpreter, and open source & actively maintained.
The language is currently in Beta with plans for rapid updates, improvements, and new features. The developer is seeking early testers, contributors, and feedback.

Read Full Article

22 Likes

Dev

Image Credit: Dev

Svelte vs React: Core Feature Comparison

React and Svelte are compared in terms of rendering modes, state management, property passing, child component handling, lifecycle, side effects, computed properties, conditional rendering, looping, global state management, and asynchronous rendering.
React uses Virtual DOM for rendering, leading to larger code sizes, while Svelte compiles code during the build process resulting in smaller sizes.
State management differs with React using useState and Svelte allowing reactive variables.
Props in React are received through function parameters, while Svelte uses export keyword for externally passed properties.
Child component information retrieval varies in React through props.children and in Svelte through slots.
Lifecycle in React is simulated with useEffect, while Svelte imports lifecycle functions like onMount and onDestroy.
Side effects are declared through useEffect in React and with reactive expressions starting with $ in Svelte.
Computed properties can be created using useMemo in React and using the $ expression in Svelte.
Conditional rendering logic is expressed using ternary expressions in React and a syntax similar to template languages in Svelte.
Looping through arrays is achieved with map in React and through each in Svelte.

Read Full Article

5 Likes

Medium

Image Credit: Medium

Keyset Pagination with JPA Specifications and TypedQueries: A Kotlin & Spring Data JPA Guide

Keyset pagination leverages the database’s ability to efficiently retrieve data based on the values of specific columns, often using the last record from a previous page as a starting point for the next.
Implementing keyset pagination requires careful consideration of your data model and query construction, choosing suitable columns as keyset and utilizing them in the ORDER BY clause during query formation.
Optimizing keyset pagination queries is crucial for achieving maximum performance, involving selection of appropriate columns, proper ordering, and efficient database indexing.
Keyset pagination offers a significant performance advantage over traditional offset-based pagination, especially when dealing with large datasets in applications built with Spring Data JPA, Kotlin, and Hibernate.

Read Full Article

4 Likes

PlanetPython

231

Eli Bendersky: Reproducing word2vec with JAX

The word2vec model, proposed in a 2013 paper by Google researchers, introduced embeddings - dense vector representation of words for language models.
This article focuses on reproducing word2vec results using JAX and discusses the original C code for word2vec as well.
Embeddings are dense vectors of floats that encode the meaning of words in a high-dimensional space.
The word2vec architecture includes CBOW (Continuous Bag Of Words) and Continuous Skip Gram, with a focus on CBOW in this post.
CBOW model teaches to predict a word from surrounding words using a window size.
A JAX implementation of the word2vec model includes forward pass and loss computation.
Training involves subsampling common words, creating a vocabulary, and training the model with a dataset through multiple epochs.
Post-training, extracting embeddings from the model allows finding word similarities using trained weights.
Modern LLMs train embedding matrices as part of larger models compared to word2vec for better task tuning and efficiency.
The article provides a thorough explanation of word2vec, JAX implementation, training process, and comparison with modern text embeddings.

Read Full Article

13 Likes

Medium

117

Image Credit: Medium

Parking Space Counter: Simple Image Processing with OpenCV

A car parking counting system plays a vital role in creating a seamless parking experience and reducing traffic congestion.
The system provides real-time data on available spaces, helping drivers locate parking quickly.
For parking lot operators, it offers insights into usage patterns and improves efficiency and user satisfaction.
This project uses a simple image processing method with OpenCV for parking space counting.

Read Full Article

7 Likes

Medium

Image Credit: Medium

Your Roadmap to Mastering Java

The article outlines a roadmap to mastering Java programming, starting with understanding Java basics, including its history and core features.
It emphasizes the importance of setting up a proper development environment and writing the first Java program, 'Hello, World!'
Explains the roles of JVM, JRE, and JDK in Java development and moves on to cover Java fundamentals like syntax, data types, variables, operators, and control flow statements.
Discusses Object-Oriented Programming in Java, focusing on classes, objects, encapsulation, inheritance, polymorphism, and abstraction.
Covers topics like arrays, strings, collections framework, exception handling, and input/output operations in Java.
Advanced concepts such as multithreading, networking, database connectivity, GUI programming, annotations, reflection, and generics are also explored.
Highlights important Java frameworks and tools like Maven, Gradle, JUnit, TestNG, Spring Framework, and Jakarta EE for enterprise-level development.
Emphasizes the significance of design patterns, algorithms, data structures, clean code principles, and version control systems in Java programming.
Encourages continuous learning and experimentation while leveraging online resources and communities for growth in Java proficiency.
Concluding with a reminder that mastering Java is a fulfilling journey requiring dedication, exploration, and constant learning.

Read Full Article

Medium

266

Image Credit: Medium

Am I a Vibe Coder?

The term 'vibe coder' has gained popularity and refers to developers who prioritize what to build rather than how it works.
Vibe coders make use of AI tools to generate code, with the aim of prototyping quickly.
However, reliance on AI-generated code can lead to challenges, as it may be difficult to understand and debug when issues arise.
While AI tools can enhance productivity, it is important for developers to have a solid understanding of programming fundamentals and principles.

Read Full Article

16 Likes

Dev

266

Image Credit: Dev

React Context API: The Best Way to Manage Global State?

State management is crucial in React to keep components in sync, especially as applications grow and sharing state becomes inefficient.
React Context API simplifies state management by providing a global store to access data across components without prop drilling.
Context API avoids prop drilling, serves as a lightweight alternative to Redux, and requires no extra setup as it is built into React.
To use React Context API, you first create a context, then a context provider, wrap the app in the provider, and consume the context in components using useContext hook.
Performance optimization tips include using useMemo to prevent unnecessary re-renders and splitting contexts for better efficiency.
Splitting contexts for different concerns, such as user state and theme preferences, helps in preventing unnecessary updates when only one state changes.
React Context API is beneficial for managing global state, sharing state between components, avoiding heavy setup of Redux, and managing themes, authentication, or language settings.
In conclusion, React Context API is a powerful tool for efficient state management and sharing data globally in React applications.

Read Full Article

16 Likes

Medium

218

Image Credit: Medium

An Introduction To Eigenvectors & Eigenvalues Towards Quantum Computing

Eigenvectors & Eigenvalues are two important terms in Quantum Computing.
Matrices are used to describe linear transformations between vectors in Quantum Computing.
An eigenvector is a non-zero vector that, when multiplied by a matrix, results in a scalar multiple of itself.
The scalar multiple in eigenvector-matrix multiplication is called the eigenvalue.

Read Full Article

13 Likes

For uninterrupted reading, download the app

Programming News

Discover more