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

A naukri.com initiative

New

Home

Programming News

Dev

413

Image Credit: Dev

This AI App Made My Trades Smarter — Try It FREE Before Everyone Else!

Juan developed a project to improve trading win rate by using Social Arbitrage and AI.
He experienced a significant improvement in his trading results, transitioning from losses to wins.
Juan is offering free early access to his project as a beta tester in exchange for feedback.
There's a waiting list available for those interested in joining post the full launch.
Features of the app include global event notifications, thesis mode for validating market hypotheses, sentiment trends tracking, and a Social Agent AI.
There's an option to register to receive notifications about the full launch.
Follow Juan's X account or the project's official account for updates and predictions on Social.
Juan is considering sharing progress on the project and upcoming features weekly.
The project is self-funded, and Juan is seeking support to promote it.

Read Full Article

24 Likes

Dev

204

Image Credit: Dev

Learning Perl - Prototypes

Perl subroutine prototypes enforce a certain structure on subroutine arguments to catch errors early and enhance code readability.
Prototypes specify the expected number and types of arguments, placed immediately after the subroutine name.
Common Perl subroutine prototype symbols include '$', '@', '%', '&', '*', '[]', '[', ';', and '[$@%&*]'.
A practical example is shown with the creation of a new functional Perl module Stats::Basic for basic statistics calculations.
Functions like min, max, mean, and median are implemented using subroutine prototypes for argument validation.
Implementations include prototypes like &@ for a code reference and list of numbers, used for functions like min and max.
The usage of map, sort, and custom logic in functions like min, max, sum, and mean are demonstrated within the module.
Exporting functions from the module without namespace is achieved using Exporter in Perl.
The article showcases the power of Perl subroutine prototypes in creating robust and readable code.
It concludes with the potential for enhancing Perl capabilities through operator overloading in custom objects.

Read Full Article

12 Likes

Dev

100

Image Credit: Dev

How to install Beef Language on GNU/Linux

Beef is an open-source, high-performance language designed for real-time applications, like games, with a syntax inspired by C# and features from C, C++, Swift, and Go.
The language includes its own IDE for Windows, CLI compiler for Linux/macOS, debugger, code assistants, and hot-compiling.
Beef is beneficial for game developers, game engine developers, and projects needing efficient debugging and productivity-focused ergonomics.
Precompiled binaries are available for Windows, but on macOS and GNU/Linux, compiling from source is required.
Dependencies for Beef installation on GNU/Linux include CMake, LLVM, Git, LibFFI, LibEdit, ZLIB, zstd, LibCurl++, and LibXML2.
After installing dependencies, users can clone the Beef repository and build it using the provided script.
Once compiled, users can create a new project, edit code, and run it to test the application.
The installation process involves cleaning up generated files, moving directories to /opt/, creating symbolic links for the binary and libraries, and testing the installation.
Users can test the Beef installation by checking the version and creating a new project to evaluate the performance.
For more detailed instructions and information, users can visit the official Beef website at https://www.beeflang.org/ and the GitHub repository at https://github.com/beefytech/Beef.

Read Full Article

6 Likes

Dev

Image Credit: Dev

Sundar, Satya and Sam AI Dream: Take everyones job

Tech leaders like Sundar, Satya, and Sam are hyping up AI as a job replacement tool, but in reality, AI struggles with basic tasks and requires human supervision.
The panic about AI taking jobs is manufactured by executives who prioritize ROI over innovation and fire human talent to invest in incomplete technology.
Sundar, Satya, and Sam may serve investors now more than innovation, chasing profits and pivoting features constantly to satisfy boards.
Many startups claim to be 'AI-powered,' but in reality, their products often fall short, relying on AI as a selling point even when it doesn't work effectively.
AI is viewed as a last-resort emergency exit for failing startups, yet true success still relies on human expertise in design, engineering, and problem-solving.
Despite the hype around AI, what remains are a few cool demos, a trillion-dollar hype cycle, and tech leaders who may have oversold a half-baked dream.
Real value creation, creativity, and understanding still come from human ingenuity, something AI cannot fully replicate.
The narrative that AI will replace jobs forces a reevaluation of work, value, and trust, challenging how we perceive the role of automation in society.
Ultimately, AI can assist but not fully replace humans, and even tech leaders like Sundar, Satya, and Sam understand the limitations of AI in terms of true human capabilities.

Read Full Article

1 Like

PlanetPython

213

Image Credit: PlanetPython

The Python Coding Stack: Are Python Dictionaries Ordered Data Structures?

Dictionaries in Python versions before 3.6 are not ordered, but in Python 3.6 and later, they maintain the order of insertion.
Python dictionaries now guarantee the order of insertion from Python 3.7 onwards.
Although dictionaries preserve the order of insertion, the order itself is not a key characteristic of a dictionary.
OrderedDict from collections module is a dictionary that is also ordered, distinct from standard dictionaries.
Different data structures serve different purposes, and the order of items is crucial in sequences but not in dictionaries.
Sequences like lists rely on the order of items, while dictionaries focus on the mapping between keys and values.
Support for OrderedDict may still be relevant due to additional distinct features compared to standard dictionaries.
Using an OrderedDict maintains the importance of order, unlike standard dictionaries where order does not impact equality.
The preservation of insertion order in dictionaries is a useful feature but not a central aspect of their functionality.
Different needs require different data structures, and there isn't a single data structure that fits all scenarios.

Read Full Article

12 Likes

Medium

221

Image Credit: Medium

How to Fortify Cloudflare Against Brute-Force and Credential Stuffing Attacks

Cloudflare's Under Attack Mode is a blunt-force approach that can frustrate real users and slow down legitimate traffic.
Default Cloudflare protections may not be sufficient to stop credential stuffing attacks.
Attackers can mimic normal user behavior to evade automated defenses.
Proactive defenses against brute-force and credential stuffing attacks include setting up specific rules and WAF expressions.
It's important not to set thresholds too low to avoid blocking legitimate login attempts.
Automating early-warning systems can help react to threats before users are impacted.
Under Attack Mode should be a last resort, with rate limiting, bot management, and WAF rules being more proactive defenses.
Tuning Cloudflare setup is crucial as attackers do not wait for manual reactions.

Read Full Article

13 Likes

Medium

230

Image Credit: Medium

The Rust Odyssey: Sick and Tired of Rust — Month 2 of 12

Month 2 of the Rust Odyssey presents a stark picture of exhaustion and frustration with Rust programming.
The author, well past 40, laments the perpetual struggle and almost-there feeling in mastering Rust concepts like ownership and borrowing.
The article delves into the absurdity of voluntarily diving into the complexity of Rust while societal norms suggest a midlife crisis involving motorcycles and golf.
The piece humorously contrasts the author's struggles with Rust against the allure of simpler languages like Go, TypeScript, and Python.
Voices of reason within the author's mind urge him to quit Rust for more immediately productive endeavors, highlighting the opportunity cost of persisting with Rust.
The narrative explores the internal struggle of staying with Rust for the sake of growth and challenging familiar programming assumptions.
Despite the frustration and plateau in learning Rust, the author finds value in the discomfort and resistance to familiar programming paradigms.
Ultimately, the article calls for community engagement, seeking support and anecdotes from others who have pushed through similar challenging learning curves.
The author reflects on the necessity of discomfort and growth, conveying a mix of determination, curiosity, and a stubborn refusal to admit defeat in the face of Rust learning challenges.
The narrative ends with a blend of weariness and perseverance, hinting at a possible continuation of the Rust learning journey into Month 3 and beyond.
The article encapsulates a personal struggle with Rust programming, balancing humor, self-reflection, and a quest for growth amidst technical challenges.

Read Full Article

13 Likes

Dev

400

Image Credit: Dev

How to Study Programming Efficiently (Tips for Junior Devs 🚀)

Tips for studying programming efficiently for junior developers without a mentor.
Create a simple roadmap with small daily goals to understand and build with focus.
Organize tasks and progress using tools like Trello, Notion, or simple checklists.
Embrace mistakes in coding as valuable learning experiences.
See code reviews as opportunities to learn and improve, not just criticism.
Consider using the Pomodoro technique for focused study intervals and breaks.
Practice coding consistently by building projects, solving exercises, and trying challenges.
Regularly review and revisit what you have learned to solidify understanding.
Maintain a tidy and distraction-free study environment for better focus.
Engage with the programming community through Discord, Telegram, and forums for support and growth.

Read Full Article

24 Likes

Medium

239

Image Credit: Medium

Programming Terminology Explained for Beginners: A Simple Guide to Algorithms, Languages, and More

This article simplifies common programming terms and concepts for beginners who are new to programming.
Learning how to program involves problem-solving through algorithms before focusing on a specific programming language.
Programming languages involve understanding syntax, grammar rules, instructions, and compilation/interpretation processes.
Examples of programming languages include Fortran, COBOL, Java, C++, etc., each serving different purposes.
There are general-purpose languages like C, C++, BASIC, and specialized ones like simulation-specific languages.
Programming languages can be categorized based on purpose (general or specialized) and level (low or high).
Low-level languages are close to machine code (e.g., Machine Language), while high-level languages are closer to human language (e.g., English).
Compilers and interpreters are tools used to convert code into machine-understandable instructions.
The article includes a C++ example for calculating the area of a rectangle to demonstrate programming principles.
Understanding basic programming terminology like algorithms, languages, compilers, and interpreters is essential for beginners.
Future articles will cover topics like data structures and object-oriented programming to build on this foundation.

Read Full Article

14 Likes

Medium

213

Image Credit: Medium

The Real Reason Tech Salaries Are Crashing

Tech salaries in Silicon Valley are crashing, with salaries declining by 7.3% year-over-year.
Tech salary growth has only been 1.2% in 2024, resulting in a decrease in real purchasing power for tech workers.
Despite solid credentials, some tech workers like Zach Pretzell struggle to find job offers even after numerous applications.
Dice's survey of over 2,800 tech workers highlights the challenges in the tech job market.
The decrease in tech salaries is attributed to more structural issues beyond layoffs or economic uncertainties.

Read Full Article

12 Likes

Dev

317

Image Credit: Dev

Live and Online: Our Food Waste Reduction Platform is Almost Ready!

A major milestone has been reached as the backend API and database for a food waste reduction platform are now live on DigitalOcean.
The project started as a university endeavor and has evolved into a platform connecting businesses with surplus food to those in need.
Backend (Laravel) and MySQL database are deployed, with RESTful API endpoints tested and ready for production.
The frontend (React) is near completion, with UI/UX polishing remaining.
End-to-end flow has been validated locally, with a few bugs to be fixed and performance tuning left to do.
Final usability testing and feedback collection from early testers are on the to-do list.
The project has been a significant learning experience, covering technical aspects like Laravel, React, deployment, and testing, as well as understanding how to create a real-world impact.
The live app can be accessed at https://ndihmo-tjetrin.netlify.app/.
The developer is open to feedback and thoughts from readers.
The project showcases the journey from a university initiative to a nearly complete platform for food waste reduction.

Read Full Article

19 Likes

Dev

104

Image Credit: Dev

JavaScript/TypeScript Development and Phantom Bugs: When Code Magically Works (or Fails)

Developers often face phantom bugs in JavaScript/TypeScript that defy logic and disappear magically.
Debugging experiences where variables show wrong values and code behaves mysteriously are common.
Common 'fixes' include going to bed and trying again, adding console.log statements, or restarting.
Potential suspects for these issues include debugger misalignment, caching problems, race conditions, environmental factors, and system instabilities.
The author encounters such bugs while working on a Next.js application, experiencing bizarre behavior with variables and code execution.
The issues observed, like const variables changing and destructuring failing, defy typical JavaScript behavior.
The article calls for discussions on how developers handle these bugs, their frequency, and strategies to overcome them.
Questions posed to the community include the impact of phantom bugs on productivity and confidence, common solutions used, and conditions that may trigger such issues.
The author invites sharing experiences and strategies in dealing with magical bugs in JavaScript/TypeScript development.

Read Full Article

6 Likes

Medium

387

How to Create Etsy Listings Faster with Professional Mockups – No Photoshop Needed

Mockup creation for Etsy listings can be time-consuming and complex.
Using PixWrap, a quick and simple tool, can cut listing time in half for creators.
Listing creation on Etsy typically requires clean mockups, high-resolution images, and possibly transparent versions.
Using Photoshop or Canva for this process can take 15-30 minutes per product.
PixWrap offers instant mockups by allowing users to upload designs, place them on products, and export final mockups quickly.
No need for complex design tools like Photoshop, PixWrap simplifies the process into a few easy steps.
The tool provides templates ready for use, saving time on resizing and adjustments.
Clean mockups lead to better presentation, potentially resulting in more clicks and higher sales for Etsy sellers.
PixWrap requires no steep learning curve, making it accessible to all users who can drag and drop.
The tool is tailored for Etsy sellers, offering optimized templates for various products commonly sold on the platform.
A real use case scenario involves selling sublimation designs where PixWrap can efficiently generate mockups and export previews in bulk.
PixWrap's free trial allows users to experience its benefits without commitment.
Focusing on speed and visual appeal can enhance success on Etsy, and PixWrap supports this with its quick listing creation and professional-looking mockups.
Increasing listings and improving image quality can boost sales opportunities for Etsy shop owners.
PixWrap is recommended for those looking to expand their Etsy shop efficiently.

Read Full Article

23 Likes

Dev

308

Image Credit: Dev

Mastering Regular Expressions: A Developer's Guide to Pattern Matching

Regular expressions, or regex, are powerful tools used for text processing, validation, and data extraction across various platforms.
Common uses of regex include email validation, phone number formatting, URL matching, and password strength validation.
Essential components of regex include character classes like ., \d, \w, \s, quantifiers such as *, +, ?, {n}, {n,m}, anchors like ^, $, \b, and groups for capturing.
Advanced regex techniques like lookaheads, lookbehinds, non-greedy matching, and named capture groups enhance pattern matching capabilities.
Testing and debugging regex patterns is crucial, and tools like Regex Tester help validate and understand complex expressions.
Best practices for regex usage include keeping patterns simple, using comments and verbose mode, escaping special characters, and considering performance.
Common pitfalls to avoid are catastrophic backtracking, overlooking case sensitivity, and over-reliance on regex for tasks better suited for other methods.
Different programming languages may have language-specific considerations when working with regex, such as syntax variations.
Building complex regex patterns is recommended incrementally by starting with basic structures, adding components one at a time, testing each addition, and refining as needed.
Mastering regex requires practice, patience, and thorough testing to ensure efficient and elegant code for text processing tasks.

Read Full Article

18 Likes

Dev

121