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

A naukri.com initiative

New

Home

Programming News

Medium

246

Cracking the Code: My Journey to Software Engineering Success

The Gauntlet AI challenge offers a blend of technical complexity and real-world application, pushing individuals to think innovatively and elevate their skills to the next level.
Preparation involves delving into AI algorithms, machine learning models, and data structures to anticipate challenges and have a solid strategy in place before the challenge in Austin.
Completing the Gauntlet AI challenge not only signifies personal achievement but also marks a step towards a rewarding career in software engineering, providing valuable experience in problem-solving and innovation.
Looking ahead to the challenge in Austin, there is a mix of excitement and determination, as it represents a journey towards mastery, innovation, and making a meaningful impact in the field of software engineering.

Read Full Article

14 Likes

Medium

360

Image Credit: Medium

99 Problems, But Debugging My Mind Is the Real One

A story about a coder who excelled in coding but struggled with mental health issues.
Highlighting the importance of prioritizing mental well-being over professional achievements.
Emphasizing the need to address mental health struggles in the tech industry.
Encouraging individuals to focus on joy and inner healing alongside their professional success.

Read Full Article

21 Likes

Dev

369

Image Credit: Dev

9 Tools That Turn Junior Devs into Senior Engineers

Tools can help junior developers accelerate their journey to becoming senior engineers by providing efficiency and automation in various tasks.
Key tools like Git & GitHub, Postman, Docker, and VS Code are essential for collaboration, API testing, containerization, and code editing.
Embracing AI copilots, documentation tools like Obsidian, testing libraries, error monitoring tools like Sentry, and visual thinking platforms can further enhance skillsets.
The mindset of understanding why and how to use tools is crucial in transitioning from a junior to a senior developer.
Utilizing tools with intent and adopting best practices can set junior developers on a path to acquiring senior-level proficiency within a shorter timeframe.
Following a structured roadmap to implement and master these tools can be beneficial for junior developers looking to level up their skills.

Read Full Article

22 Likes

Medium

430

Image Credit: Medium

They Know Java, But Not Joy

A story highlighting the struggles of a person who is proficient in Java concepts and coding skills but lacks emotional understanding and inner peace.
Emphasizes on the importance of mental well-being and self-reflection in addition to technical skills and certifications.
Encourages individuals to prioritize happiness and self-care alongside professional achievements.
The message conveys the significance of being human first, valuing inner joy, self-love, and peace in the journey of personal and professional growth.

Read Full Article

25 Likes

Dev

197

Image Credit: Dev

💡Creative Problem Solving

Creative Problem Solving is vital for innovation, going beyond existing data-driven solutions to generate novel ideas and improve progress.
It is crucial for QA Engineers to creatively break and enhance systems by designing 'evil' test cases, devising efficient automation, exploring edge cases, and proposing solutions.
This skill is applied across various IT roles like Software Developers tackling performance issues, Penetration Testers finding security flaws creatively, UX Designers solving complex workflows, and DevOps Engineers optimizing deployment strategies.
Schools can teach Creative Problem Solving by promoting brainstorming, using open-ended prompts, fostering design thinking, and valuing different disciplines to nurture creativity in students.

Read Full Article

11 Likes

Medium

285

WordPress Security in 2025: Protect, Fix, and Improve Your Website

A hacked WordPress website can lead to loss of customer trust, declined search engine rankings, downtime, data loss, and damage to brand reputation.
To enhance security, update WordPress core, themes, and plugins promptly after releases and delete unused plugins and themes.
Protect against weak passwords by using a password manager and enable 2FA through plugins like “Two Factor Authentication” or “Google Authenticator.”
Implement security measures like changing the default login URL, using security plugins, forcing HTTPS, scheduling automatic backups, adjusting file permissions, and disabling XML-RPC when not in use.

Read Full Article

17 Likes

Dev

Image Credit: Dev

Perplexity Labs vs ChatGPT - Which Is Better in 2025?

Perplexity Labs introduced by Perplexity enhances projects with advanced tools for creating files, presentations, and interactive elements.
Perplexity Labs caters to Pro subscribers for automating tasks and complex project creation since its launch in 2025.
ChatGPT in 2025, known for its versatility, introduced advanced models like GPT-4.1 and features for deep research connectors.
Perplexity Labs focuses on accurate research and project creation, while ChatGPT excels in conversational tasks and creative content generation.
Perplexity Labs offers user accessibility through Pro subscriptions, while ChatGPT operates on a freemium model with paid plans for advanced features.
Perplexity Labs is suitable for business research, project management, and web development, meanwhile ChatGPT is ideal for content creation, education, and customer support.
Strengths of Perplexity Labs include automation of project creation and specialized tools for finance, with weaknesses being advanced features behind a paywall.
Strengths of ChatGPT lie in its versatility and continuous updates with advanced models, with potential weaknesses in providing citations and requiring more user input for projects.
Perplexity Labs and ChatGPT cater to different needs – structured reliability versus flexibility – with both evolving to serve diverse AI interactions.
For more advanced coding solutions, Bind AI IDE based on Claude 4 is recommended, allowing customization and deployment of front-end and back-end applications.

Read Full Article

1 Like

Medium

193

Image Credit: Medium

Writing a Web Server in C++

Developed a web server in C++ without relying heavily on ChatGPT, focusing on manual coding as much as possible.
Implemented basic functionality to allow sending a request and receiving a 'Hello World' response with a hardcoded 200 OK status.
Learned and reviewed socket programming by binding a socket to an IP address and port, drawing parallels to setting up pipes in Operating Systems.
Utilized accept4() over accept() in socket programming, marked SO_REUSEADDR to ease server restarts, and incorporated colored terminal text for debugging purposes.

Read Full Article

11 Likes

Dev

202

Image Credit: Dev

🚀 Roadmap to Becoming a Full Stack Developer in 2025

The demand for Full Stack Developers is high in 2025 due to the evolving tech landscape with AI tools, new frameworks, and modern architectures.
Roadmap to become a Full Stack Developer in 2025 includes mastering basics of web development, front-end frameworks, backend development, databases, DevOps, AI tools, architecture & system design, security, building real projects, and staying updated.
Key areas to focus on include HTML, CSS, JavaScript, React/Next.js for frontend, Node.js + Express.js for backend, SQL + NoSQL databases, DevOps practices, AI tools integration, system design, security best practices, real project building, and continuous learning.
Conclusion emphasizes mastering core tech stack, adapting to AI & automation, building real projects, understanding modern architecture, and staying adaptable for success as a Full Stack Developer in 2025.

Read Full Article

12 Likes

Dev

Image Credit: Dev

I built a File Sharing App in Python (with Auto Discovery + Drag & Drop). Here is what I learned.

The article discusses the author's experience in building a Python file-sharing app over local networks.
The app features a graphical interface using Tkinter, with separate tabs for sender and receiver functionalities.
Sender side includes auto-discovery of hosts, drag and drop support, port selection, and file integrity check.
Receiver side allows choosing listening ports, selecting save folders, and start/stop receiving options.
The project utilizes Python libraries like socket, threading, tkinterdnd2, with no external dependencies.
The author built the app to overcome perfectionism, learn practical networking concepts, and avoid overthinking.
Challenges encountered included broadcasting issues with VMs, real-world experimentation, and utilizing GitHub Copilot.
Lessons learned include the importance of modularity in code structure, debugging, and breaking projects into modules.
The GitHub repository 'File-Share' contains the full code for the peer-to-peer file-sharing app with various features.
The project summary showcases the app's capabilities like one-to-one file transfers, host discovery, drag & drop, and integrity checks.
The article encourages sharing work without fear, highlighting the joy of learning, progress, and celebrating small victories.

Read Full Article

Self-Learning-Java

197

BigQuery Partitioned Tables: Boost Query Performance & Cut Costs

Partitioned tables in BigQuery help improve query performance, reduce scanning costs, and enable parallel processing.
A partitioned table divides data into smaller segments based on a column value, optimizing performance by scanning only relevant partitions.
Advantages include faster query performance, reduced scanning leading to lower costs, and increased parallelism for faster execution.
Partitioning can be done based on the ingestion time, date/timestamp column, or integer column, depending on the nature of the data.

Read Full Article

11 Likes

Self-Learning-Java

Image Credit: Self-Learning-Java

Recovering Deleted Data in BigQuery: A Beginner’s Guide to Time Travel and Restoration

Data restoration in BigQuery allows users to recover deleted records within a specific time frame using the time travel feature.
BigQuery provides a time travel option for accessing past versions of data within a retention period of up to 7 days, aiding in recovering accidentally deleted records.
Users can query previous versions of data using SYSTEM_TIME AS OF or table decorators, but restoring an entire deleted table requires a special recovery command.
Limitations of data restoration in BigQuery include time-dependent recovery within 7 days, no support for external tables, and the need for a recovery command if the entire table is deleted.

Read Full Article

3 Likes

Dev

391

Image Credit: Dev

Building a Custom Cryptocurrency Candlestick Chart from Scratch with React

In this tutorial, a custom real-time candlestick chart for tracking cryptocurrency prices is built from scratch using React.
A CandlestickDemo component is created to fetch the last 24 weeks of BTC price data and render it as a candlestick chart.
The useAssetPriceCandlesQuery hook serves as a React Query wrapper for fetching price data, handling caching, loading states, and errors.
A data structure for price candles is defined, allowing efficient iteration over price fields for rendering chart elements.
Functionality for fetching cryptocurrency price data from the Binance API is implemented, handling request management and data transformation.
Chart components are created, including X and Y axes, candlestick representations of price movements, and an interactive hover tracker for detailed information.
A system for generating Y-axis labels is developed, intelligently determining label spacing based on data range and familiar increments.
Data normalization functions are introduced to render chart components at a consistent scale, facilitating responsive rendering.
A centralized chart configuration object is defined to maintain consistent sizing and spacing throughout the chart.
Various utilities and components like ChartSlice, ChartYAxis, HoverTracker, Candlestick, CandlestickInfo, and ChartXAxis are implemented to complete the interactive chart.

Read Full Article

23 Likes

Dev

382

Image Credit: Dev

Start with the problem statement and your mindset approach, then dive into the code journey.

The systematic approach of problem-solving involves understanding the problem deeply, experimenting with different solutions, building a working solution, and optimizing for performance.
Starting with a clear problem statement, experimenting fearlessly with initial incorrect logic helps in learning from mistakes and improving the approach.
The breakthrough moment often comes from fixing the logic errors and aligning the approach with the correct solution.
The optimization journey focuses on improving efficiency by handling edge cases, early termination, and enhancing the overall performance of the code.

Read Full Article

23 Likes

Self-Learning-Java

364

Image Credit: Self-Learning-Java

Prometheus Aggregation Functions on Range Vectors

Prometheus provides aggregation functions that work with range vectors, representing data over a time range.
Range vectors in Prometheus are sets of data points collected over specific time intervals for analysis.
Aggregation functions like avg_over_time, min_over_time, max_over_time, sum_over_time, count_over_time, quantile_over_time, last_over_time, and present_over_time help analyze range vectors.
These functions allow for various analyses such as calculating averages, finding minimums and maximums, counting occurrences, and providing overall flexibility in working with time-series data in Prometheus.

Read Full Article

21 Likes

For uninterrupted reading, download the app

Programming News

Discover more