#Python-Based Routing Solution

[clariontech]

A major challenge faced by the client was inefficiencies in delivery operations. It also resulted in an increased fuel consumption, longer delivery times, and rising operational costs. The main issue was rout-planning, which did not take into account real-time traffic conditions and changing delivery times. This was impacting customer satisfaction because of late deliveries.

[learnovitapython]

Selenium: The Cornerstone of Modern Web Automation Testing

In our increasingly digital world, websites are no longer just static information hubs. They are complex, interactive platforms powering essential services such as digital banking, e-learning, online shopping, and enterprise tools. As the role of web applications continues to expand, maintaining their reliability, efficiency, and intuitive design is more critical than ever. Whether managing a SaaS product or a dynamic e-commerce site, delivering a smooth user experience is inseparable from a robust and functional web interface.

Selenium: More Than Just a Single Tool

Selenium is often misunderstood as a standalone automation tool. In reality, it is a suite of specialized components, each addressing specific needs in browser-based automation. This flexibility allows teams to tailor their automation strategy according to their skill levels and project complexity.

The Selenium suite comprises:

Selenium IDE: A user-friendly browser extension for Chrome and Firefox that enables record-and-playback testing. It’s great for quick test creation, demos, or for those new to automation.

Selenium WebDriver: The core engine that offers direct interaction with web browsers through a rich API. It supports multiple languages and allows simulation of real-world user behavior with high precision.

Selenium Grid: Designed for distributed execution, it enables running tests in parallel across various browsers, operating systems, and machines, significantly reducing test duration and enhancing coverage.

This structure supports a progressive approach starting with simple test recordings and scaling up to advanced, enterprise-grade test frameworks. Enhance your web automation skills with our comprehensive Selenium Course Online, designed for beginners and professionals to master real-time testing techniques.

What Sets Selenium Apart in the Automation Landscape

Selenium remains a top choice among automation frameworks due to its open-source nature, adaptability, and strong community support. Its compatibility with several programming languages including Java, Python, JavaScript, and C# makes it highly versatile.

Notable strengths of Selenium include:

Cross-browser compatibility (Chrome, Firefox, Safari, Edge, etc.)

Cross-platform support for Windows, macOS, and Linux

Integration readiness with DevOps tools like Maven, Jenkins, Docker, and CI/CD pipelines

Large and active community, ensuring continuous enhancements and robust documentation

These features make Selenium an ideal solution for Agile and DevOps-driven environments where flexibility and scalability are essential.

Selenium WebDriver: The Automation Power Core

Selenium WebDriver is the most powerful and widely used component of the suite. It communicates directly with browsers using their native automation APIs, which leads to faster execution and more stable tests.

With WebDriver, testers can:

Simulate user actions such as clicking, typing, scrolling, and navigation

Interact with dynamic content and complex UI elements

Handle browser alerts, multiple tabs, and asynchronous behaviors

Use sophisticated waiting strategies to reduce flakiness

Its language flexibility and ease of integration with popular testing frameworks make it suitable for both functional and regression testing in modern applications.

Selenium Grid: For Fast, Parallel, and Scalable Testing

As projects grow in scale and complexity, running tests sequentially becomes impractical. Selenium Grid addresses this by supporting parallel test execution across different systems and environments.

Here’s how it works:

A central Hub routes test commands to multiple Nodes, each configured with specific browser and OS combinations.

Tests are automatically matched with suitable Nodes based on the desired configuration.

This setup enables:

Faster test cycles through concurrency

Expanded test coverage across platforms and browsers

Seamless scalability when integrated with Docker or cloud environments

Selenium Grid is particularly beneficial for CI/CD pipelines, enabling frequent and reliable testing in short time frames.

Challenges in Selenium and How to Overcome Them

Despite its many advantages, Selenium presents a few challenges. Fortunately, these can be addressed effectively with best practices and complementary tools.

1. Test Instability

Tests may fail unpredictably due to timing issues or dynamic content. Use robust locators, implement explicit or fluent waits, and add retry mechanisms where necessary.

2. High Maintenance Overhead

Frequent UI changes can break test scripts. Adopt the Page Object Model (POM), centralize selectors, and design modular, reusable components.

3. Lack of Native Reporting

Selenium does not include reporting features by default. Integrate reporting tools such as ExtentReports, Allure, or custom HTML reporters to visualize test outcomes and logs.

4. No Built-in Test Management

Selenium focuses on execution, not planning or tracking. Pair Selenium with test management tools like TestRail, Zephyr, or Jira plugins to organize and track testing efforts. Proactively addressing these issues leads to more reliable, maintainable, and scalable automation frameworks. Kickstart your career with our Best Training & Placement Program, offering expert-led sessions and guaranteed job support for a successful future in tech.

Selenium’s Strategic Role in Modern QA

As the software industry embraces continuous integration and delivery, quality assurance is shifting earlier in the development lifecycle, a practice known as Shift Left. Selenium supports this transition by enabling early and continuous automation.

Key benefits in modern workflows include:

Integration with CI tools like Jenkins, GitHub Actions, or Azure DevOps

Easy version control and code collaboration via Git

Support for data-driven testing, allowing validation of multiple scenarios using external data sources

This makes Selenium not just a testing tool, but a strategic partner in achieving high-quality, fast-paced software releases.

Conclusion

Selenium continues to play a crucial role in modern web automation. Its blend of flexibility, scalability, and open-source accessibility makes it a go-to framework for both startups and large enterprises. Whether you are verifying basic functionalities or managing a complex automation suite, Selenium equips you with the tools to build efficient and dependable tests. By following best practices such as structured test architecture, modular design, and integrated reporting Selenium can elevate your quality assurance efforts into a long-term strategic asset. As web technologies evolve and user expectations rise, Selenium will remain at the forefront of automated testing solutions.

[lakshmimonopoly1]

Best Software Training Institute in Hyderabad – Monopoly IT Solutions

Your first step in building a successful career in software development should be choosing the right training institute. Monopoly IT Solutions is the best software training institute in Hyderabad, Kukatpally, KPHB, combining quality training with real-world training.

Why IT Training is Essential in Today’s Job Market

The level of competition in today's tech world goes beyond simply having a degree. Companies are looking for candidates who are skilled, confident, and ready to contribute from day one. That’s where a solid training institute helps—one that doesn’t just focus on theory but also emphasizes hands-on learning, projects, and placement support.

A good institute will help you understand industry tools, master frameworks, and guide you through practical applications of what you learn. It bridges the gap between academic learning and the real job market.

Explore the Courses at Monopoly IT Solutions

Monopoly IT Solutions offers a wide range of courses designed to equip you with the most in-demand IT skills:

.NET Training: This course teaches you to develop professional applications using ASP.NET Core, C#, and MVC. It’s ideal for those aiming to work in Microsoft-based environments.

Java Training: Perfect for backend developers, our Java course covers everything from core concepts to advanced tools like Spring Boot and Hibernate.

Python Training: One of the most flexible and beginner-friendly languages, Python is great for web development, automation, and serves as the foundation for data science and AI.

Data Science: This program helps you gain expertise in machine learning, data analytics, visualization tools, and Python libraries like Pandas, NumPy, and Scikit-learn.

Angular Training: A must for front-end developers, Angular helps you build interactive web applications. Learn components, routing, and API integration from scratch.

React Training: React is perfect for creating modern web interfaces. Learn how to build dynamic, fast, and scalable front-end apps with Redux and hooks.

Why Choose Monopoly IT Solutions?

Monopoly IT Solutions stands apart because of its student-first approach. Here, learning isn’t rushed or superficial. Every course is taught by experienced professionals who know what the industry needs. You also get access to real-time projects, interview preparation, and career guidance—all in one place.

Conclusion

Your journey to a successful IT career starts with the right training. Whether you're a fresher or a professional planning to upskill, Monopoly IT Solutions provides the foundation you need. With industry-relevant courses, expert trainers, and strong placement support, it’s no surprise that it's considered the Best Software Training Institute in Hyderabad.

Join Monopoly IT Solutions today — and take your first confident step into the world of technology.

[hiringjournal]

Hire Django Developers Remotely: What You Need to Know

Even for technical positions, working remotely has become commonplace in today's digitally first society. You are not the only startup or tech company looking to hire Django developers remotely; many are using remote teams to create reliable web apps. The Python-based web framework Django is well-known for its security, scalability, and speed, which makes it perfect for creating anything from straightforward webpages to intricate business solutions. 

But if you don't know what to search for, it can be difficult to find the best remote Django developer. Here's a detailed guide to help you choose the best remote workers and make sure your web project is successful.

Build Scalable Web Applications with Expert Django Developers from Anywhere

Understand why Django is the best framework for your project before beginning the hiring process. With Django, developers can rapidly and efficiently design complex, database-driven websites using fewer lines of code. It is ideal for creating scalable and secure applications because of its integrated features, which include admin panels, URL routing, and authentication.

Hiring Django developers means hiring someone who can take advantage of these built-in features to save down on development time while maintaining the security and functionality of your app.

Where to Find Django Developers

The first step in hiring Django developers remotely is to find applicants on reliable platforms. Here are several possibilities:

Uplers: An end-to-end AI-powered hiring platform with a 3M+ network that uses AI and human intelligence to connect you with the top 3.5% AI-vetted professionals. 

Upwork: You may locate Django specialists with different levels of experience on Upwork, a freelance marketplace. Perfect for one-time or short-term initiatives.

Toptal: Renowned for offering top-tier talent, Toptal assists you in hiring remote developers from a pool of candidates who have been thoroughly screened to guarantee excellence.

LinkedIn: An excellent tool for advertising job openings and connecting with Django experts that possess the necessary abilities.

GitHub: Seek out developers who are actively involved in Django projects that are open-source. You can learn more about their abilities and enthusiasm for the technology from this.

Look for Expertise Beyond Django

A proficient Django developer needs to be familiar with supplementary tools and technologies, even if Django is the foundational framework. When hiring, take into account the following:

Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular can be useful, even though Django manages the back-end.

Database expertise: Relational databases such as PostgreSQL and MySQL are easily integrated with Django. Your developer should be proficient in query optimization, migrations, and database modelling.

Version control and Continuous Integration/Continuous Deployment (CI/CD): Your developer will be able to work together effectively and produce code without any problems if they are familiar with Git, GitHub, and CI/CD procedures.

Communication and Collaboration Are Key

When you hire remote developers communication is of the essence. Finding engineers who are proactive, well-organized, and at ease with collaboration platforms like Slack, Zoom, and Trello is crucial because you will be working across time zones. During the interview process, evaluate their written communication abilities because in remote teams, effective communication is essential to preventing misunderstandings.

Make sure the developers you choose have knowledge of agile processes, time management tools, and remote work. Establishing a robust communication system is essential for tech organizations to maintain team alignment and guarantee seamless project execution.

Assessing Cultural Fit and Flexibility

Although technical proficiency is crucial, cultural fit should also be considered. Make sure the Django developers you recruit remotely have the same values as your team and are able to function effectively in a distant setting. Enquire about their feedback management strategy, time zone flexibility, and collaboration style.

You may need to scale your crew as your business expands. To keep your projects going, you need to find a developer who is flexible and willing to work with you for a long time.

Summing Up

Hiring Django developers remotely provides access to a larger talent pool, flexibility, and cost savings. You may create a team that produces scalable, high-quality web apps by knowing the particular requirements of your project and seeking developers with the necessary technical know-how, remote work experience, and effective communication skills. 

Whether you need to hire backend developers for specific tasks or for full-stack development, remote hiring gives tech organizations the opportunity to scale efficiently and access global talent. 

[vaithu]

How to Build a Scalable Online Pharmacy Like 1mg in 2025 

In recent years, the digital health space has surged, and platforms like 1mg have revolutionized how people access medicines, diagnostics, and healthcare advice online. With the Indian ePharmacy market projected to surpass $10 billion by 2025, the opportunity to launch a 1mg clone has never been more lucrative. But building a scalable, compliant, and user-friendly online pharmacy requires more than just app development — it requires vision, planning, and strategic execution.

Step-by-Step Blueprint to Build a Scalable 1mg Clone in 2025

1. Start with a Viable Business Model

Before jumping into development, define your core business model:

B2C Online Pharmacy

Marketplace for Pharmacies

Subscription-based Healthcare

Omnichannel Model (online + in-store pickup)

Pro Tip: Focus on solving accessibility, affordability, and trust — pillars of 1mg’s success.

2. Build Key Modules and Core Features

Your app should replicate and improve upon 1mg’s functional offerings:

User-side Features

Medicine search & filters

Prescription upload

Smart cart & checkout

Order tracking

Doctor consultation

Lab test booking

Pill reminder notifications

Admin & Pharmacy Panel

Inventory and stock control

Order assignment & fulfillment

Dynamic pricing & promotions

Reports, analytics, and compliance dashboard

Security & Compliance

CDSCO certification & eRx protocols

User data encryption (HIPAA/GDPR aligned)

eKYC for users and pharmacists

3. Use a Scalable Tech Stack

To handle high transaction volumes and real-time logistics, opt for:

Frontend: React Native or Flutter (cross-platform)

Backend: Node.js + Express / Django + Python

Database: PostgreSQL + Redis (for cache optimization)

Cloud Infra: AWS or GCP for elastic scalability

APIs: Drug database, eRx integration, payment gateways

4. Integrate Real-Time Logistics and Telehealth

Live delivery tracking via GPS

Pharmacy slot optimization for delivery routing

Video consultation via WebRTC or Zoom SDK

5. Make Your App Compliant from Day 1

Ensure you’re aligned with:

Indian Telemedicine Practice Guidelines

Pharmacy Act, Drugs & Cosmetics Act

CDSCO licensing for online medicine sales

6. Focus on Growth-Driven UX & Personalization

AI/ML tools can:

Suggest reorders

Personalized care increases retention and LTV.

Recommend products based on purchase behavior

Predict medicine demand by region/season

7. Implement a Future-Proof Monetization Strategy

You can monetize via:

Medicine margin markup

Featured listings for pharmacies

Subscription plans for chronic care users

Teleconsultation fees

Sponsored health content

For building 1mg clone refer our blog 1mg Clone App Explained: What It Is and How It Works

Conclusion: Why Miracuves is Your Ideal Partner to Build a 1mg Clone

Building a scalable 1mg clone app in 2025 is no small feat — it requires technical expertise, domain knowledge, and regulatory awareness. This is where Miracuves comes in.

At Miracuves, we specialize in healthtech platform development, offering:

Ready-to-deploy 1mg clone solutions

Custom development tailored to your region & regulations

Secure and scalable cloud architecture

End-to-end support from launch to growth

Whether you’re a startup, hospital group, or pharmacy chain, our white-label online pharmacy platform empowers you to launch fast and scale smart.

Let Miracuves transform your digital health vision into a reality. Contact us to get started today!

[jennyblogss]

Tech Stack You Need for Building an On-Demand Food Delivery App

I remember the first time I considered launching a food delivery app—it felt exciting and overwhelming at the same time. I had this vision of a sleek, user-friendly platform that could bring local restaurant food straight to customers' doors, but I wasn’t sure where to begin. The first big question that hit me? What technology stack do I need to build a reliable, scalable food delivery app solution?

If you’re a restaurant owner, small business operator, or part of an enterprise considering the same path, this guide is for you. Let me break it down and share what I’ve learned about choosing the tech stack for an on demand food delivery app development journey.

Why the Right Tech Stack Matters

Before we get into specifics, let’s talk about why choosing the right tech stack is so crucial. Think of your app like a restaurant kitchen—you need the right tools and appliances to make sure the operations run smoothly. In the same way, the technology behind your app ensures fast performance, strong security, and a seamless user experience. If you're serious about investing in a robust food delivery application development plan, your tech choices will make or break the project.

1. Frontend Development (User Interface)

This is what your customers actually see and interact with on their screens. A smooth, intuitive interface is key to winning users over.

Languages: HTML5, CSS3, JavaScript

Frameworks: React Native, Flutter (for cross-platform apps), Swift (for iOS), Kotlin (for Android)

Personally, I love React Native. It lets you build apps for both iOS and Android using a single codebase, which means faster development and lower costs. For a startup or small business, that’s a win.

2. Backend Development (Server-Side Logic)

This is the engine room of your food delivery app development solution. It handles user authentication, order processing, real-time tracking, and so much more.

Languages: Node.js, Python, Ruby, Java

Frameworks: Express.js, Django, Spring Boot

Databases: MongoDB, PostgreSQL, MySQL

APIs: RESTful APIs, GraphQL for communication between the frontend and backend

If you ask any solid food delivery app development company, they'll likely recommend Node.js for its speed and scalability, especially for apps expecting high traffic.

3. Real-Time Features & Geolocation

When I order food, I want to see the delivery route and ETA—that’s made possible through real-time tech and location-based services.

Maps & Geolocation: Google Maps API, Mapbox, HERE

Real-Time Communication: Socket.io, Firebase, Pusher

Real-time tracking is a must in today’s market, and any modern food delivery app development solution must integrate this smoothly.

4. Cloud & Hosting Platforms

You need a secure and scalable place to host your app and store data. Here’s what I found to work well:

Cloud Providers: AWS, Google Cloud, Microsoft Azure

Storage: Amazon S3, Firebase Storage

CDN: Cloudflare, AWS CloudFront

I personally prefer AWS for its broad range of services and reliability, especially when scaling your app as you grow.

5. Payment Gateways

Getting paid should be easy and secure—for both you and your customers.

Popular Gateways: Stripe, Razorpay, PayPal, Square

Local Payment Options: UPI, Paytm, Google Pay (especially in regions like India)

A versatile food delivery application development plan should include multiple payment options to suit different markets.

6. Push Notifications & Messaging

Engagement is everything. I always appreciate updates on my order or a tempting offer notification from my favorite local café.

Services: Firebase Cloud Messaging (FCM), OneSignal, Twilio

These tools help maintain a strong connection with your users and improve retention.

7. Admin Panel & Dashboard

Behind every smooth app is a powerful admin panel where business owners can manage orders, customers, payments, and analytics.

Frontend Frameworks: Angular, Vue.js

Backend Integration: Node.js or Laravel with MySQL/PostgreSQL

This is one part you definitely want your food delivery app development company to customize according to your specific business operations.

8. Security & Authentication

Trust me—when handling sensitive data like payment info or user addresses, security is non-negotiable.

Authentication: OAuth 2.0, JWT (JSON Web Tokens)

Data Encryption: SSL, HTTPS

Compliance: GDPR, PCI-DSS for payment compliance

A dependable on demand food delivery app development process always includes a strong focus on security and privacy from day one.

Final Thoughts

Choosing the right tech stack isn’t just a technical decision—it’s a business one. Whether you’re building your app in-house or partnering with a trusted food delivery app development company, knowing the components involved helps you make smarter choices and ask the right questions.

When I look back at my own journey in food delivery app solution planning, the clarity came once I understood the tools behind the scenes. Now, as the industry continues to grow, investing in the right technology gives your business the best chance to stand out.

So if you’re serious about launching a top-tier app that delivers both food and fantastic user experience, your tech stack is where it all begins. And hey, if you need help, companies like Delivery Bee are doing some really exciting things in this space. I’d definitely recommend exploring their food delivery app development solutions.

[inestwebindia]

How ASP.NET Developers Can Power Personalization and Automation with AI

In 2025, users expect more than just fast websites—they want smart, personalized digital experiences. At the same time, businesses are under pressure to streamline operations and do more with less. This is where artificial intelligence steps in. Today, developers using ASP.NET can easily integrate AI to craft tailored user journeys and automate repetitive workflows. With modern tools and services at their fingertips, ASP.NET developers are building applications that are not just functional—but intelligent.

Why AI is Changing the Game in ASP.NET Development

AI is no longer experimental—it’s a practical tool helping businesses solve real challenges. In ASP.NET development, it can enhance how applications analyze data, make decisions, and interact with users. Whether you’re building a product portal, enterprise dashboard, or customer support platform, AI helps your application adapt in real time.

ASP.NET’s rich ecosystem, combined with Microsoft’s support for AI integration through ML.NET and Azure, makes it easier than ever to build smart features directly into your applications—no external systems required.

Personalization in ASP.NET: Making User Experiences Smarter

What Is AI-Powered Personalization?

At its core, personalization means presenting content, features, or offers based on what a user actually wants—without them having to ask. Using behavioral patterns, search history, or user profiles, AI can tailor a unique experience for every visitor. For ASP.NET developers, this is now achievable using tools built into the .NET stack.

How Developers Add Personalization in ASP.NET Projects

With Microsoft’s ML.NET and Azure Cognitive Services, developers can implement features like:

Smart Recommendations: Suggest products, content, or actions based on browsing behavior.

Dynamic Layouts: Modify page content or call-to-action buttons based on past interactions.

Engagement Prediction: Use behavioral trends to identify when users might churn or be ready to upgrade.

These enhancements can be woven directly into ASP.NET MVC or Razor Pages, giving developers full control over how users experience a site.

Automating Workflows in ASP.NET Using AI

Beyond the user interface, AI can take over manual tasks behind the scenes. Automation in ASP.NET applications can dramatically reduce processing time, cut down on errors, and free up team resources for higher-value work.

Where AI-Powered Automation Makes an Impact

Chatbots for Support: With Azure Bot Services, developers can deploy 24/7 chat assistants that answer FAQs, process requests, or route tickets.

Auto-Validation in Forms: AI can flag unusual or incorrect inputs and even predict missing information based on trends.

Predictive Alerts: For industries like logistics or manufacturing, AI can forecast equipment failure or service outages before they happen.

Smart Data Handling: Automatically sort, filter, or summarize large datasets within your ASP.NET backend—no spreadsheets required.

These features aren't just about speed—they increase reliability, accuracy, and user satisfaction.

Tools to Build AI Features in ASP.NET

Here’s a breakdown of what ASP.NET developers are using today to bring AI capabilities into their apps:

ML.NET: Build custom machine learning models in C#, ideal for recommendation engines, sentiment analysis, or fraud detection—without switching to Python.

Azure Cognitive Services: Access powerful APIs for text analysis, language understanding, vision recognition, and more, all plug-and-play.

Azure Machine Learning: Train, deploy, and monitor models at scale. It’s designed for enterprise use and integrates smoothly with the .NET ecosystem.

These tools offer flexibility whether you're coding a lightweight app or managing a full-scale enterprise solution.

Final Thoughts: Smarter ASP.NET Apps Begin with AI

AI isn't just a trend—it’s now a vital part of delivering better web experiences. For developers using ASP.NET, there’s a clear path to build apps that are faster, more helpful, and easier to manage. By combining personalization features with smart automation, your application becomes more than just functional—it becomes intuitive.

If you're ready to level up your ASP.NET applications, now is the time to explore how AI can fit into your workflow.

Let’s Build Smarter Together

At iNestweb, we help businesses bring intelligence to their web platforms with customized, AI-ready ASP.NET development. Whether you need tailored user experiences or automated systems that save time, we’re here to build it with you.

[nikhilvaidyahrc]

The Most Underrated Tech Careers No One Talks About (But Pay Well)

Published by Prism HRC – Leading IT Recruitment Agency in Mumbai

Let’s be real. When people say “tech job,” most of us instantly think of software developers, data scientists, or full-stack engineers.

But here's the thing tech is way deeper than just coding roles.

There’s a whole world of underrated, lesser-known tech careers that are not only in high demand in 2025 but also pay surprisingly well, sometimes even more than the jobs people brag about on LinkedIn.

Whether you’re tired of following the herd or just want to explore offbeat (but profitable) options, this is your roadmap to smart career choices that don’t get the spotlight — but should.

1. Technical Writer

Love explaining things clearly? Got a thing for structure and detail? You might be sitting on one of the most overlooked goldmines in tech.

What they do: Break down complex software, tools, and systems into user-friendly documentation, manuals, tutorials, and guides.

Why it’s underrated: People underestimate writing. But companies are paying top dollar to folks who can explain their tech to customers and teams.

Skills:

Writing clarity

Markdown, GitHub, API basics

Tools like Notion, Confluence, and Snagit

Average Salary: ₹8–18 LPA (mid-level, India)

2. DevOps Engineer

Everyone talks about developers, but DevOps folks are the ones who actually make sure your code runs smoothly from deployment to scaling.

What they do: Bridge the gap between development and operations. Automate, monitor, and manage infrastructure.

Why it’s underrated: It’s not flashy, but this is what keeps systems alive. DevOps engineers are like the emergency room doctors of tech.

Skills:

Docker, Jenkins, Kubernetes

Cloud platforms (AWS, Azure, GCP)

CI/CD pipelines

Average Salary: ₹10–25 LPA

3. UI/UX Researcher

Designers get the spotlight, but researchers are the ones shaping how digital products actually work for people.

What they do: Conduct usability tests, analyze user behavior, and help design teams create better products.

Why it’s underrated: It's not about drawing buttons. It's about knowing how users think, and companies pay big for those insights.

Skills:

Research methods

Figma, heatmaps, analytics tools

Empathy and communication

Average Salary: ₹7–18 LPA

4. Site Reliability Engineer (SRE)

A hybrid of developer and operations wizard. SREs keep systems reliable, scalable, and disaster-proof.

What they do: Design fail-safe systems, ensure uptime, and prepare for worst-case tech scenarios.

Why it’s underrated: It’s a high-responsibility, high-reward role. Most people don’t realize how crucial this is until something crashes.

Skills:

Monitoring (Prometheus, Grafana)

Cloud & infrastructure knowledge

Scripting (Shell, Python)

Average Salary: ₹15–30 LPA

5. Product Analyst

If you're analytical but not super into coding, this role is the perfect balance of tech, data, and strategy.

What they do: Track user behavior, generate insights, and help product teams make smarter decisions.

Why it’s underrated: People don’t realize how data-driven product decisions are. Analysts who can turn numbers into narratives are game-changers.

Skills:

SQL, Excel, Python (basics)

A/B testing

Tools like Mixpanel, Amplitude, GA4

Average Salary: ₹8–20 LPA

6. Cloud Solutions Architect (Entry-Mid Level)

Everyone knows cloud is booming, but few realize how many roles exist that don’t involve hardcore backend coding.

What they do: Design and implement cloud-based solutions for companies across industries.

Why it’s underrated: People assume you need 10+ years of experience. You don’t. Get certified and build projects you’re in.

Skills:

AWS, Azure, or GCP

Virtualization, network design

Architecture mindset

Average Salary: ₹12–22 LPA (entry to mid-level)

Prism HRC’s Take

At Prism HRC, we’ve seen candidates with these lesser-known skills land incredible offers, often outpacing their peers who went the “mainstream” route.

In fact, hiring managers now ask us for “hybrid profiles” who can write documentation and automate deployment or those who blend design sense with behavioral insight.

Your edge in 2025 isn’t just what you know; it’s knowing where to look.

Before you go

If you’re tired of chasing the same roles as everyone else or feel stuck trying to “become a developer,” it’s time to zoom out.

These underrated careers are less crowded, more in demand, and often more stable.

Start learning. Build a project. Apply smartly. And if you need guidance?

Prism HRC is here to help you carve a unique path and own it. Based in Gorai-2, Borivali West, Mumbai Website: www.prismhrc.com Instagram: @jobssimplified LinkedIn: Prism HRC

[ozaintel]

Unlock Data-Driven Success with Tableau Services

In today’s fast-paced business world, data is power. But raw numbers alone aren’t enough—companies need tools to turn data into clear, actionable insights. That’s where Tableau Services shine. 

As a leading business intelligence platform (part of Salesforce), Tableau offers tools and support to help organizations visualize, analyze, and share data effortlessly. Let’s explore how Tableau Services can transform your business.

What Are Tableau Services?

Tableau Services include software, training, and expert support designed to simplify data management. Key tools include:

Tableau Desktop: Build interactive dashboards.

Tableau Cloud/Server: Share insights securely online or on-premises.

Tableau Prep: Clean and organize data quickly.

Paired with training courses, certifications, and 24/7 support, these services empower teams at all skill levels to make smarter decisions.

Top Benefits of Tableau Services

1. Easy Data VisualizationTableau’s drag-and-drop interface lets anyone create charts, graphs, and maps—no coding needed. For example, a retailer can track sales trends across regions in minutes using colorful dashboards.

2. Works for EveryoneWhether you’re a data expert or a beginner, Tableau adapts to your skills. Non-technical users can build reports, while analysts use SQL or Python for deeper dives.

3. Real-Time InsightsMonitor live data to act fast. A logistics company could track deliveries or inventory levels in real time, adjusting routes to save costs.

4. Connect Any Data SourceTableau links to spreadsheets, databases (like Google BigQuery), and apps (like Salesforce). Combine all your data into one dashboard for a unified view.

5. Team CollaborationShare dashboards securely with teams or clients. Marketing teams, for instance, can update executives on campaign performance instantly.

6. Grows with Your BusinessFrom startups to global firms, Tableau scales smoothly. Start with a single license and expand to enterprise-level solutions as needed.

7. Advanced AnalyticsPredict trends, like future customer demand, using AI-driven tools. Healthcare providers can forecast patient needs to improve care.

8. Save Time and MoneyAutomate data tasks to reduce manual work. Cloud options cut IT costs, letting small businesses focus on growth.

9. Top-Notch SecurityProtect sensitive data with features like role-based access and encryption—ideal for finance or healthcare industries.

10. Learn and ImproveAccess free courses, certifications, and a global user community. Get expert help to tailor Tableau to your goals.

Who Uses Tableau Services?

Retail: Optimize pricing using sales and customer data.

Healthcare: Improve patient care with treatment analytics.

Finance: Detect fraud and manage risk securely.

Education: Track student performance to allocate resources better.

Why Choose Tableau?

User-Friendly: Designed for all skill levels.

Trusted: Backed by Salesforce and used by over 1 million teams worldwide.

Flexible: Cloud, desktop, or server options fit any need.

How to Get Started

Free Trial: Test Tableau Cloud or Desktop on their website.

Plans: Choose subscriptions based on your team size.

Support: Partner with consultants for setup and training.

Final Thoughts

Tableau Services turn complex data into clear insights, helping businesses act faster, save costs, and stay competitive. Whether you’re analyzing sales trends or improving patient care, Tableau’s tools make data work for you.

Ready to unlock your data’s potential? Explore Tableau’s official website today—or try a free trial to see the difference yourself!

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AI Skills for Business Success: The Importance of AI Training for Your Staff in 2025

Overview: Growing Digital Requirements for Businesses

AI-powered automation and productivity solutions are the latest developments in the digital economy. Artificial Intelligence (AI) is currently being used at all levels of a business to optimize productivity and make well-informed decisions. This change has resulted in a sharp rise in the need for qualified experts who can use AI tools with ease. Businesses in Coimbatore nowadays require AI-skilled personnel if they hope to supply workers who can propel the company's long-term success. In order to assist create responsive teams prepared to deliver AI course  in Coimbatore at Xploreitcorp offers that allows students to use AI abilities with the most fundamental and sophisticated principles. Organizations may develop a workforce that can provide AI-transformative results in addition to knowing how to use AI through projects, real-time problem solving, and industry-driven training.

1. The Value of AI Competencies in the Modern Workforce

AI is not just a pipe dream anymore. It is absolutely necessary given the times we live in. Businesses that integrate AI, for instance, can reduce human error, improve service delivery speed and efficiency, and automate even the most complex procedures. However, the workforce must be taught and accustomed to AI technologies before all these benefits can be realized. Employees who have taken an AI course in Coimbatore will be able to work together because they will understand the benefits and drawbacks of these AI tools. The future holds highly competent workers who will be able to capitalize on the unmatched return on investment from AI's ability to transform industries in a real-world commercial setting and an ever-increasing value proposition in the marketplace.

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2. Filling the Skill Gap in AI

Globally, it is noted that the need for workers with AI skills is growing more quickly than the supply of talent. The disparity is both a problem and an opportunity for places like Coimbatore. Businesses that use customized programs, like an AI course in Coimbatore, to upskill their staff are better positioned to thrive in the ever-evolving business landscape. They incorporate real-world industry difficulties with technical abilities beyond Python, machine learning, and neural networks. If the AI talent gap is filled inside, businesses can better concentrate on internal innovation because they are not as dependent on outside consultants.

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3. Using AI to Increase Operational Efficiency

AI has the potential to increase operational efficiency in many facets of business. Predictive analytics in supply chain management or AI-powered data entry automation in HR present opportunities to accomplish more with less. However, for these efficiencies to persist, workers must be able to use AI systems. Businesses that support their employees in taking an AI course in Coimbatore improve their capacity to develop, oversee, and maximize AI tools internally. Organizational digital maturity can increase quickly with mobility away from outside vendors.

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4. Real-World Use of Artificial Intelligence

AI is altering the dynamics in sectors including as

• Marketing: AI tools help to personalize customer interactions in real-time analytics.

• Finance: Fraud detection and risk analysis are improved by machine learning techniques.

• Customer service: AI chatbots significantly reduce operational expenses and response times.

• Logistics: AI makes route optimization and sophisticated predictive maintenance possible.

Customizing these applications to particular industries requires some engineering knowledge, which is best supplied by a reputable artificial intelligence course in coimbatorel. Through practical assignments and use-case-based learning, participants acquire the transferable skills required for real-world business scenarios.

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5. Using AI to Improve Business Strategy

AI should not be applied in a vacuum; it requires the framework of a business plan. Company executives must know what special AI products they can offer and what areas of innovation will yield the best return on investment. Professionals may develop a technical AI framework that supports the overall corporate strategy by learning how to think critically and strategically from a thorough Artificial intelligence course in Coimbatore. Smart AI roadmaps enable businesses to develop AI-driven goals for revenue development, cost savings, and operational performance improvement.

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6. Overcoming AI and Job Culling Fear

Employee reluctance to using AI can be a significant roadblock, making adoption challenging. Most frequently, this resistance stems from a fear of losing one's job. AI-trained mobility education intelligence in Coimbatore explains the complex nature of AI and shows how it may complement people rather than replace them. When workers understand that AI will expand their capabilities by replacing repetitive, mechanical, and rote tasks that are solely creative, analytical, or involve interacting with people or customers, they become enthusiastic and engaged participants in digital transformation initiatives. Businesses that provide AI upskilling initiatives encourage involvement and turn disengaged workers into flexible teams.

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7. Soft Skills Are Essential for AI Integration

Soft skills like teamwork, flexibility, and critical thinking are necessary in an AI workplace in addition to fundamental competencies. In addition to practical coding and algorithm components, an AI course in Coimbatore provides in-depth instruction in soft skills. These up-and-coming professionals will be equipped to lead unit cross-functional AI initiatives, work on AI-enabled teams, and explain non-technical elements of sophisticated expository presentations to a range of technical and non-specialist audiences. In order to offer better-prepared leaders, companies are given enabling technologies and balanced with business principles.

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8. Promoting an Educational Culture

Keeping up with the latest techniques is essential because artificial intelligence is a field that is always changing. Businesses that foster a culture of lifelong learning maintain an advantage over rivals. Businesses in Coimbatore can use the newest technology and increase organizational productivity by having their staff members obtain advanced degrees in artificial intelligence from accredited universities. Because workers stay with companies that encourage learning opportunities, this ensures a better retention rate.

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9. Making Use of Local Resources and Getting Good AI Training

Apart from Bangalore, Coimbatore is becoming South India's new hub for education and IT. Instead of spending money on remote places or costly solutions far from the region, businesses can employ local training and educational resources, such as core AI training Coimbatore, to acquire value-added trained staff. Like a lot of other things, Xploreitcorp has also dabbled in providing AI solutions tailored to the demands of local companies. These institutions make sure that the training is practical and that the job satisfies the needs of expanding Coimbatore businesses by collaborating with nearby industries.

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10. How AI Promotes Innovation and Gains a Competitive Edge

AI is now a cutting-edge corporate technology rather than a straightforward tool. With a little experimenting, AI can boost productivity, develop new product lines, and enhance customer service. Because AI solutions can be implemented quickly and effectively, businesses with skilled AI personnel may take advantage of new prospects. With the right direction, which can be obtained through an Artificial intelligence course in Coimbatore, businesses can avoid relying so much on external AI dependencies, enabling seamless prototyping and scaling. Businesses without skilled employees will be the biggest "losers" as AI becomes more and more significant for enterprises. Their rivals will have the upper hand.

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In conclusion, to permanently raise wages, invest in AI skills.

No corporation in 2025 wants to deal with AI ignored in employee training. Reorganizing your company's processes and educating staff on AI technology will boost output and have a significant, long-lasting effect on your company. Businesses in Coimbatore will gain the innovation framework, operational superiority, and strategic growth they desire by enrolling employees in an AI course. Businesses that want to use AI must have an internal structure that can adapt to changes. These businesses inherently set the standard for effective business outcomes, high levels of customer happiness, and digital transformation.

For additional information regarding AI training programs, click this page.

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Top Reasons to Take an Artificial Intelligence Course in London in 2025

Artificial Intelligence (AI) has transitioned from a futuristic concept to a real-world necessity. Whether it's powering voice assistants, automating customer service, or driving autonomous vehicles, AI is at the heart of innovation. If you're considering diving into the world of AI, there's no better place to do it than London—one of the leading global hubs for technology and education.

In this blog, we'll explore the top reasons to take an Artificial Intelligence course in London in 2025, highlighting why the city remains a magnet for aspiring data scientists, AI engineers, and tech entrepreneurs.

1. London: A Global Tech Powerhouse

London has firmly established itself as one of the most vibrant technology hubs in the world. Home to thousands of startups, tech accelerators, and global headquarters, the city provides fertile ground for AI professionals to grow. Companies like DeepMind, BenevolentAI, and Microsoft Research operate in or near the city, providing inspiration and employment opportunities for AI talent.

Choosing an Artificial Intelligence course in London means placing yourself in a city that breathes innovation. The exposure to real-world AI applications and networking opportunities here is unparalleled.

2. High Demand for AI Professionals

The demand for AI talent is skyrocketing across the UK, and London is leading the charge. A report by the UK Government’s Office for Artificial Intelligence reveals that AI job postings have increased by over 200% since 2020. In 2025, this trend shows no signs of slowing down.

Companies across sectors—finance, healthcare, retail, transportation, and media—are seeking AI experts to develop intelligent solutions. Completing an Artificial Intelligence course in London equips you with the skills to enter a booming job market with high-paying roles like:

AI Engineer

Data Scientist

Machine Learning Engineer

NLP Specialist

Computer Vision Expert

3. World-Class Educational Ecosystem

London boasts some of the most prestigious universities and institutes offering advanced AI training. But beyond the traditional academic routes, there are also professional, hands-on AI training programs designed for fast career transitions. These courses emphasize:

Real-world AI projects

Practical knowledge of tools like Python, TensorFlow, and Scikit-learn

Industry-relevant modules like Generative AI, NLP, and Computer Vision

Career mentoring and placement support

One globally recognized provider—known for its practical, project-driven approach—is training professionals from various backgrounds in AI, data science, and machine learning, making AI education more accessible than ever.

4. A Thriving AI Startup Scene

London’s startup ecosystem is teeming with AI-driven innovation. According to Tech Nation, AI startups in the UK raised over £3.2 billion in funding in 2024, with a significant share coming from London-based companies.

By taking an Artificial Intelligence course in London, you’ll be strategically placed near these startups, opening doors to:

Internships and project-based learning

Job opportunities in early-stage companies

Potential co-founder connections if you want to launch your own AI venture

Startups like Faculty, Tractable, and Synthesia have grown from London to international acclaim—proof of what’s possible with the right skills and network.

5. Opportunities to Work with Cutting-Edge AI Projects

In London, learners often get the chance to contribute to AI projects that have a tangible impact on society. From helping the NHS deploy predictive analytics to working on smart mobility solutions with Transport for London (TfL), the city provides endless opportunities to apply your skills to meaningful challenges.

A well-structured Artificial Intelligence course in London will typically include capstone projects or collaborations that expose students to such real-world applications. This practical experience is invaluable when transitioning into the workforce.

6. Strong Government & Industry Support for AI

The UK government has positioned AI at the center of its tech policy. With initiatives like the National AI Strategy and AI Council, London enjoys robust institutional backing to foster talent, fund research, and support businesses leveraging AI.

As a student or professional undergoing AI training, this translates to:

Access to government-sponsored research and innovation grants

AI-focused meetups, seminars, and industry events

Policy-driven demand for responsible AI, ethical training, and compliance knowledge

7. Multicultural Environment with Global Talent

London is home to people from over 200 nationalities and is a melting pot of cultures, perspectives, and ideas. This cosmopolitan character makes it an enriching place to learn and collaborate in the AI domain.

In a typical Artificial Intelligence course in London, you’ll meet fellow learners from tech, finance, healthcare, marketing, and more—each contributing unique insights. Such diversity fosters creativity and out-of-the-box thinking, which are essential qualities in AI innovation.

8. Access to World-Renowned AI Events and Conferences

London hosts some of the most prestigious AI events and conferences annually, including:

CogX – Festival of AI and Transformational Technology

AI & Big Data Expo Global – Showcasing enterprise AI solutions

The AI Summit London – Global hub for business-ready AI

By studying in London, you’re not just learning AI—you’re part of the global conversation. These events offer opportunities to learn from leaders, connect with employers, and showcase your work.

9. Flexible Learning Options for Every Profile

Whether you're a student, a working professional, or someone switching careers, there’s an Artificial Intelligence course in London that fits your needs:

Full-time Bootcamps: For those looking to accelerate their careers fast

Part-time and Weekend Courses: Ideal for professionals with busy schedules

Online + Offline Hybrid Models: Offering the best of both convenience and community

Many institutes now deliver flexible formats without compromising on practical rigor. Programs are tailored to help even non-tech professionals break into the AI field successfully.

10. Gateway to International AI Careers

London isn’t just a great place to study and work—it’s also a springboard to global opportunities. A certification from a reputable AI training provider in London is well-recognized by employers worldwide.

Graduates often go on to work in tech hubs like:

Silicon Valley (USA)

Toronto (Canada)

Berlin (Germany)

Bengaluru (India)

Singapore

With the global reach of London-based education, your AI career can easily become international.

A Closer Look at Quality AI Education in London

One institute that’s making a significant impact is a globally recognized training provider offering a hands-on, project-oriented approach to AI education. Its Artificial Intelligence Course in London is designed by industry experts and features:

Real-world case studies

1-on-1 mentorship

Practical tools like Python, Scikit-learn, TensorFlow

Training in cutting-edge domains like Generative AI and Agentic AI

Career support with resume building and interview prep

Graduates from this institute have secured positions at leading firms and startups, proving the value of industry-aligned, practice-driven education. Their growing presence in London ensures learners benefit from local industry connections while receiving global-quality instruction.

Final Thoughts

Choosing to take an Machine Learning Course in London in 2025 is a smart investment in your future. The city’s dynamic tech landscape, coupled with its educational excellence and job opportunities, make it a top destination for AI education.

Whether you're just starting out, transitioning careers, or looking to upskill, London offers everything you need—world-class training, networking, and a thriving AI job market. With the right course, especially one backed by real-world projects and mentorship like those offered by the Boston Institute of Analytics, you're not just learning AI—you’re preparing to lead in it.

[lakshmimonopoly1]

Why .NET Is the Backbone of Modern Enterprise Software

Your first step in building a successful career in software development should be choosing the right training institute. Monopoly IT Solutions is the best software training institute in Hyderabad, Kukatpally, KPHB, combining quality training with real-world training.

Why IT Training is Essential in Today’s Job Market

The level of competition in today's tech world goes beyond simply having a degree. Companies are looking for candidates who are skilled, confident, and ready to contribute from day one. That’s where a solid training institute helps—one that doesn’t just focus on theory but also emphasizes hands-on learning, projects, and placement support.

A good institute will help you understand industry tools, master frameworks, and guide you through practical applications of what you learn. It bridges the gap between academic learning and the real job market.

Explore the Courses at Monopoly IT Solutions

Monopoly IT Solutions offers a wide range of courses designed to equip you with the most in-demand IT skills:

.NET Training: This course teaches you to develop professional applications using ASP.NET Core, C#, and MVC. It’s ideal for those aiming to work in Microsoft-based environments.

Java Training: Perfect for backend developers, our Java course covers everything from core concepts to advanced tools like Spring Boot and Hibernate.

Python Training: One of the most flexible and beginner-friendly languages, Python is great for web development, automation, and serves as the foundation for data science and AI.

Data Science: This program helps you gain expertise in machine learning, data analytics, visualization tools, and Python libraries like Pandas, NumPy, and Scikit-learn.

Angular Training: A must for front-end developers, Angular helps you build interactive web applications. Learn components, routing, and API integration from scratch.

React Training: React is perfect for creating modern web interfaces. Learn how to build dynamic, fast, and scalable front-end apps with Redux and hooks.

Why Choose Monopoly IT Solutions?

Monopoly IT Solutions stands apart because of its student-first approach. Here, learning isn’t rushed or superficial. Every course is taught by experienced professionals who know what the industry needs. You also get access to real-time projects, interview preparation, and career guidance—all in one place.

Conclusion

Your journey to a successful IT career starts with the right training. Whether you're a fresher or a professional planning to upskill, Monopoly IT Solutions provides the foundation you need. With industry-relevant courses, expert trainers, and strong placement support, it’s no surprise that it's considered the Best Software Training Institute in Hyderabad.

Join Monopoly IT Solutions today — and take your first confident step into the world of technology.

[allyourchoice]

Get Started Coding for non-programmers

How to Get Started with Coding: A Guide for Non-Techies

If you ever considered learning how to Get Started Coding for non-programmers but were intimidated by technical terms or daunted by the prospect, you're in good company. The good news is that coding isn't for "techies" alone. Anyone can learn to code, no matter their background or experience. In this guide, we'll take you through the fundamentals of how to get started coding, whether you're looking to create a website, work with data, or simply learn how the technology that surrounds you operates. Why Learn to Code? Before diving into the "how," it's worth knowing the "why." Coding can unlock new doors, both personally and professionally. Some of the reasons why learning to code is worth it include: Problem-solving abilities: Programming allows you to dissect difficult problems and identify solutions. Career adaptability: More and more careers, from marketing to medicine, are turning to coding as a requirement. Empowerment: Code knowledge enables you to have a better understanding of the technology you're using daily and enables you to own your own project development. Creativity: Coding isn't purely logical—it's also about making new things and creating your own ideas. Step 1: Choose Your Learning Path Before you start, consider what you are most interested in. The route you take will depend on what you want to do. These are some of the most popular routes: Web Development: Creating websites and web apps (learn HTML, CSS, JavaScript). Data Science: Examining data, visualizing patterns, and making informed decisions based on data (learn Python, R, or SQL). App Development: Creating mobile apps for iOS or Android (learn Swift or Kotlin). Game Development: Building video games (learn Unity or Unreal Engine using C# or C++). Take a moment to determine which area speaks to you. Don't stress about choosing the "perfect" path—coding skills are interchangeable, and you can always make a change later. Step 2: Begin with the Basics After you've decided on your route, it's time to begin learning. As a novice, you'll want to begin with the fundamentals of coding. Here are some fundamental concepts to familiarize yourself with: Variables: A means of storing data (such as numbers or text). Data Types: Familiarity with various types of data, including integers, strings (text), and booleans (true/false). Loops: Doing things over and over again without writing the same code over and over. Conditionals: Deciding things in code using if-else statements. Functions: These are the Building blocks of code that can be reused to accomplish particular tasks. For instance, when you're learning Python, you could begin with a basic program such as: Step 3: Select the Proper Learning Material There's plenty of learning material out there for beginners, and the correct resource can mean a big difference in how rapidly you learn to code. Some of the most popular methods include: Online Courses: Websites such as Coursera, Udemy, edX, and freeCodeCamp provide sequential courses, and some of these are available free of charge. Interactive Platforms: Sites such as Codecademy, Khan Academy, or LeetCode offer in-the-code lessons that walk you through problems sequentially. Books: There are a lot of code books for beginners, such as "Python Crash Course" or "Automate the Boring Stuff with Python." YouTube Tutorials: YouTube contains a plethora of coding tutorials for beginners where you can work through actual projects. For complete beginners, sites such as freeCodeCamp and Codecademy are excellent as they enable you to code in the browser itself, so you don't have to install anything. Step 4: Practice, Practice, Practice The secret to mastering coding is regular practice. Similar to learning a musical instrument or a foreign language, you'll have to develop muscle memory and confidence. Practice Coding Challenges: Sites such as HackerRank or Codewars offer exercises that allow you to practice what you've learned. Build Small Projects: Begin with small projects, like a to-do list, a basic calculator, or a personal blog. This reinforces your learning and makes coding more rewarding. Join Coding Communities: Sites like GitHub, Stack Overflow, or Reddit's /r/learnprogramming are excellent for asking questions, sharing your work, and receiving feedback. Step 5: Don't Be Afraid to Make Mistakes Keep in mind that errors are all part of learning. While you're coding, you'll get errors, and that's completely fine. Debugging is a skill that takes time to master. The more you code, the more accustomed you'll get to spotting and resolving errors in your code. Here's a useful approach when faced with errors: Read the error message: It usually indicates precisely what's wrong. Search online: Chances are, someone else has faced the same issue. Platforms like Stack Overflow are full of solutions. Break the problem down: If something’s not working, try to isolate the issue and test each part of your code step by step. Step 6: Stay Motivated Get Started Coding for Non-Programmers. Learning to code can be challenging, especially in the beginning. Here are a few tips to stay motivated: Break goals into bite-sized pieces: Don't try to learn it all at once; set mini goals such as "Complete this course" or "Finish this project." Pat yourself on the back: Celebrate every time you complete a project or figure out a problem. Get a learning buddy: It's always more fun and engaging with someone learning alongside you. Don't do it in one sitting: It takes time to learn to code. Relax, be good to yourself, and enjoy the process. Conclusion Learning to Get Started Coding for non-programmers might seem daunting, but it’s possible with the right mindset and resources. Start small, be consistent, and remember that every coder, no matter how experienced, was once a beginner. By following these steps—choosing the right learning path, mastering the basics, practicing regularly, and staying motivated—you’ll soon gain the skills and confidence you need to code like a pro. Read the full article

[sophiasmithg]

The Best 9 Python Frameworks for App Development in 2025

Python is the most popular and high-level, general-purpose programming language that supports multiple programming models, including structured, object-oriented, and functional programming. App developers often prefer using Python frameworks for App Development.

Developers often use Pyjnius, a Python library that allows access to Java classes. It can either launch a new Java Virtual Machine (JVM) within the process or connect to an existing JVM, such as the one already running on Android.

According to recent research from Statista, more than 48% of developers use Python frameworks for mobile app development.

What is a Python Framework?

Python frameworks are collections of pre-built modules and packages that help developers handle common tasks efficiently.

They simplify application development by providing ready-made solutions, so developers don’t have to start from scratch.

These frameworks also take care of details like thread management, sockets, and protocols, saving time and effort.

9 Best Python Frameworks for App Development in 2025

Explore here a list of Top 10 Python App Frameworks to Use in 2025:

1-Django

Django is a leading Python framework designed for building dynamic mobile and web applications with ease. It leverages a robust Object-Relational Mapping (ORM) system and follows the Model-View-Controller (MVC) pattern, ensuring clean, reusable, and easily maintainable code.

Whether you’re creating simple apps or scaling complex projects, Django’s powerful features make development faster and more efficient.

It has built-in tools like URL routing/parsing, authentication system, form validation, template engine, and caching to ensure a swift development process.

Django follows the DRY (Don’t Repeat Yourself) concept and focuses on rapid app development with a neat design.

This framework is the first choice of developers for any Python project due to its versatility, customization, scalability, deployment speed, simplicity, and compatibility with the latest Python versions.

According to a Stack Overflow survey, Django and Flask are the most popular Python software development frameworks.

Some examples popular examples of apps built with the Django framework are Instagram and Spotify.

Key Features of Django Framework:

Enables execution of automated migrations

Robust security

Enhanced web server support

Comprehensive documentation

Vast add-ins with SEO optimization

2-Flask

Flask stands out as a top-rated, open-source Python microframework known for its simplicity and efficiency. The Flask framework comes packed with features like a built-in development server, an intuitive debugger, seamless HTTP request handling, file storage capabilities, and robust client-side session support.

It has a modular and adaptable design and added compatibility with Google App Engine.

Besides Django, Flask is another popular Python framework with the Werkzeug WSGI toolkit and Jinja2 template.

Flask operates under the BSD license, ensuring simplicity and freedom for developers.

Inspired by the popular Sinatra Ruby framework, Flask combines minimalism with powerful capabilities, making it a go-to choice for building scalable and efficient web applications.

Key Features of Flask Framework:

Jinja2 templating and WSGI compliance

Unicode-based with secure cookie support

HTTP request handling capability

RESTful request dispatch handling

Built-in server development and integrated unit-testing support

Plugs into any ORM framework

3-Web2Py

Web2Py is an open-source, full-stack, and scalable Python application framework compatible with most operating systems, both mobile-based and web-based.

It is a platform-independent framework that simplifies development through an IDE that has a code editor, debugger, and single-click deployment.

Web2Py deals with data efficiently and enables swift development with MVC design but lacks configuration files on the project level.

It has a critical feature, a ticketing system that auto-generates tickets in the event of issues and enables tracking of issues and status.

Key Features of Web2py Framework:

No configuration and installation needed

Enables use of NoSQL and relational databases

Follows MVC design with consistent API for streamlining web development

Supports internationalization and role-based access control

Enable backward compatibility

Addresses security vulnerabilities and critical dangers

4-TurboGears

TurboGears is an open-source, full-stack, data-driven popular Python web app framework based on the ObjectDispatch paradigm.

It is meant to make it possible to write both small and concise applications in Minimal mode or complex applications in Full Stack mode.

TurboGears is useful for building both simple and complex apps with its features implemented as function decorators with multi-database support.

It offers high scalability and modularity with MochiKit JavaScript library integration and ToscaWidgets for seamless coordination of server deployment and front end.

Key aspects of TurboGears Framework:

MVC-style architecture

Provides command-line tools 

Extensive documentation

Validation support with Form Encode

It uses pylons as a web server

Provides PasteScript templates

5-Falcon

Falcon is a reliable and secure back-end micro Python application framework used for developing highly-performing microservices, APIs, and large-scale application backends.

It is extensible and optimized with an effective code base that promotes building cleaner designs with HTTP and REST architecture.

Falcon provides effective and accurate responses for HTTP threats, vulnerabilities, and errors, unlike other Python back-end frameworks. Large firms like RackSpace, OpenStack, and LinkedIn use Falcon.

Falcon can handle most requests with similar hardware to its contemporaries and has total code coverage.

Key Features of Falcon Framework:

Intuitive routing with URL templates

Unit testing with WSGI mocks and helpers

Native HTTP error responses

Optimized and extensible code base

Upfront exception handling support

DRY request processing

Cython support for enhanced speed

6-CherryPy

CherryPy is an object-oriented, open-source, Python micro framework for rapid development with a robust configuration system. It doesn’t require an Apache server and enables the use of technologies for Cetera templating and accessing data.

CherryPy is one of the oldest Python app development frameworks mainly for web development. Applications designed with CherryPy are self-contained and operate on multi-threaded web servers. It has built-in tools for sessions, coding, and caching.

Popular examples of CherryPy apps include Hulu and Juju.

Key features of CherryPy Framework:

Runs on Android

Flexible built-in plugin system

Support for testing, profiling, and coverage

WSGI compliant

Runs on multiple HTTP servers simultaneously

Powerful configuration system

7-Tornado

It is an open-source asynchronous networking Python framework that provides URL handling, HTML support, python database application framework support, and other crucial features of every application.

Tornado is as popular as Django and Flask because of its high-performing tools and features except that it is a threaded framework instead of being WSGI-based.

It simplifies web server coding, handles thousands of open connections with concurrent users, and strongly emphasizes non-blocking I/O activities for solving C10k difficulties. 

Key features of Tornado Framework:

Web templating techniques

Extensive localization and translation support

Real-time, in-the-moment services

Allows third-party authorization, authorization methods, and user authentication

Template engine built-in

HTTP client that is not blocking

8- AIOHTTP Python Frameworks for App Development

AIOHTTP is a popular asynchronous client-side Python web development framework based on the Asyncio library. It depends on Python 3.5+ features like Async and Awaits. 

AIOHTTP offers support for client and server WebSockets without the need for Callback Hell and includes request objects and routers for redirecting queries to functions.

Key Highlights of AIOHTTP Python Framework:

Provides pluggable routing

Supports HTTP servers

Supports both client and WebSockets without the callback hell.

Middleware support for web servers

Effective view building

Also, there are two main cross-platform Python mobile app frameworks

9- Kivy Python Frameworks for App Development

Kivy is a popular open-source Python framework for mobile app development that offers rapid application development of cross-platform GUI apps.

With a graphics engine designed over OpenGL, Kivy can manage GPU-bound workloads when needed.

Kivy comes with a project toolkit that allows developers to port apps to Android and has a similar one for iOS. However, porting Python apps to iOS currently is possible with Python 2.7.

Features of Kivy Framework:

Enables custom style in rendering widgets to give a native-like feel

Enhanced consistency across different platforms with a swift and straightforward approach

Well-documented, comprehensive APIs and offers multi-touch functionalities

Source of Content: Python Frameworks for App Development

[isikkofirst]

Top 25 Reasons Why a Travel Tech Company Is Revolutionizing the Tourism Industry

A travel tech company is not just a business—it's a catalyst for change in one of the world’s most dynamic industries. With travel rebounding post-pandemic and digital transformation accelerating at breakneck speed, travel tech is turning once-dreamlike user experiences into reality. From AI-driven booking assistants to VR-powered destination previews, innovation is no longer optional—it's essential.

What Is a Travel Tech Company?

At its core, a travel tech company develops and deploys digital tools that improve how people plan, book, manage, and experience travel. These companies typically operate at the intersection of tourism, software engineering, artificial intelligence, and user experience design.

Whether it's a mobile-first booking platform, a dynamic itinerary planner, or an AI concierge, travel tech companies serve B2B and B2C segments alike—changing the way agencies, travelers, and suppliers connect.

Evolution of Travel Technology: From Paper Tickets to Virtual Reality

Remember flipping through paper brochures at a local travel agency? That analog era has been digitally decimated.

First came online booking. Then mobile apps. Today, we’re in the age of immersive tech—where travelers can preview hotel rooms in VR, receive real-time alerts on their smartwatch, and talk to chatbots fluent in over 50 languages. The journey from manual to digital has been swift, game-changing, and fascinating.

The Core of a Travel Tech Business

These are not ordinary startups. A travel tech company thrives by mastering five core competencies:

Scalability through cloud infrastructure

Personalization using machine learning

User-centric design for seamless navigation

Security for trust and compliance

Data intelligence to predict behaviors and trends

Their tech stacks often involve Python, Node.js, React Native, Kubernetes, and advanced analytics tools.

Key Technologies Powering Travel Tech Companies

Let’s break it down.

Artificial Intelligence in Travel Tech

From chatbot concierges to voice-powered bookings, AI is redefining convenience and speed in the travel space. Machine learning models can now predict flight delays, recommend the best travel routes, and even optimize travel budgets in real-time.

Big Data and Predictive Analytics

Data is the oil of the digital travel engine. Companies like Hopper and Google Flights thrive by analyzing historical trends to forecast prices, helping users book at the optimal time.

Cloud-Based Solutions and SaaS Platforms

The flexibility and cost-efficiency of cloud-native travel apps are unmatched. Companies use SaaS solutions to manage everything from customer interactions to back-end supply chain logistics.

Blockchain in Travel: Hype or Help?

While still emerging, blockchain is making waves with decentralized loyalty programs, fraud prevention, and smart contracts for trip insurance.

Smart Booking Engines and Personalization Tools

Why search for travel when it can come to you?

Smart engines now curate personalized travel deals based on your behavior, preferences, and even social media data. Think Netflix, but for vacations.

Dynamic Pricing Algorithms: The Revenue Game Changer

Algorithms adjust hotel rates, flight prices, and rental fees on-the-fly based on demand, season, and consumer behavior. This isn't just pricing—this is intelligent monetization.

Contactless Travel and Mobile Integration

COVID-19 accelerated the shift toward touchless tech. From e-boarding passes to facial recognition check-ins, safety is being redefined with digital solutions.

Virtual Reality and Augmented Experiences

See your hotel room in VR before you book. Explore tourist spots in AR from your couch. These tools boost trust, satisfaction, and conversions.

API Integrations for Seamless Travel Ecosystems

APIs allow travel tech firms to connect with airlines, payment gateways, review sites, and even weather apps. This interoperability turns fragmented systems into holistic travel ecosystems.

Enhancing the Traveler Experience

At the heart of every travel tech company lies one goal—exceptional customer experience. This means intuitive apps, 24/7 service bots, and cross-platform compatibility.

Mobile First: Empowering Users Through Apps

Mobile dominates the booking funnel. Travel apps now offer everything: live maps, loyalty rewards, trip planners, and emergency help—all on a 6-inch screen.

Real-Time Travel Assistance and Chatbots

From changing flight details mid-air to checking hotel availability on the go, smart chatbots handle it all—quickly and cost-effectively.

User Data and Personalization: Ethical Considerations

With great data comes great responsibility. Companies must balance personalization with privacy, using anonymization techniques and transparent policies.

How Travel Tech Companies Operate

Agility, speed, and innovation are non-negotiable.

They rely on:

Continuous deployment cycles

Customer feedback loops

Microservices architecture

DevOps and QA automation

Strategic Partnerships with Airlines, Hotels, and OTAs

Partnerships drive scale. Travel tech firms often white-label their platforms or integrate with global brands to expand reach and revenue.

The Role of UX/UI Design in Travel Apps

Design drives engagement. Minimalist, clean, and functional interfaces are essential for high conversion and low churn.

Success Stories of Leading Travel Tech Startups

Airbnb

What started as air mattresses is now a $100B+ platform. Airbnb revolutionized lodging with peer-to-peer tech, smart pricing, and a global reach.

Hopper

Their AI model predicts flight and hotel prices with 95% accuracy. Hopper is the poster child for data-driven travel tech.

Skyscanner

Leveraging metasearch and data mining, Skyscanner became a one-stop-shop for price comparison and discovery.

Current Trends in the Travel Tech Industry

Voice-based search and bookings

Biometric border control

Digital travel passports

Climate-conscious carbon calculators

Post-Pandemic Travel and Tech Adaptation

From vaccine passports to travel bubbles, tech has made travel safer and smarter.

Sustainable Travel Through Technology

AI-powered itineraries reduce carbon footprints by optimizing routes and suggesting green alternatives.

The Rise of Bleisure Travel and Remote Work Tech

Remote work has reshaped travel. Companies like Selina cater to digital nomads with work-ready lodges and co-living spaces.

Major Challenges Travel Tech Companies Face

Cybersecurity threats and GDPR compliance

High churn rates due to fierce competition

Globalization hurdles in multi-currency, multi-language platforms

Trends That Will Define the Next Decade

Hyper-personalization

Voice-powered AI agents

Bio-metrics and gesture control

Drone taxis and smart airports

Why Travel Tech Companies Are More Important Than Ever

Travel tech isn’t just riding the wave—it’s building the ocean. As consumers demand faster, safer, and smarter journeys, these firms are reshaping how we explore the world.

FAQs

What does a travel tech company do? It develops software and platforms that improve or automate the travel experience—from booking to on-the-go support.

How do travel tech companies make money? Revenue streams include SaaS models, affiliate commissions, data licensing, and premium user subscriptions.

Are travel tech companies safe to use? Reputable travel tech companies follow stringent data security standards and comply with international regulations like GDPR.

What’s the future of travel tech post-COVID? It’s all about digital convenience—contactless travel, personalized booking, and resilient tech stacks.

Can travel tech help with sustainable tourism? Yes. AI and data-driven tools can promote eco-friendly travel choices, route optimization, and carbon tracking.

What are some examples of successful travel tech startups? Airbnb, Skyscanner, Hopper, and TripActions are shining examples of innovation in action.

Conclusion: Final Thoughts on the Evolution of Travel Tech

Travel tech is no longer a novelty—it’s the nucleus of the modern tourism experience. As globalization surges and digital expectations rise, these companies are designing not just journeys, but the future of exploration itself.

[datascience12pune]

Become the Data Scientist Every Company Wants to Hire

Today, a great deal of information surrounds people and businesses, and companies are constantly under pressure to leverage it well. Data can be used for sales forecasting, detecting credit card fraud, tracking epidemics, marketing promotions, and even predicting your next power outage. However, what makes a data scientist most beneficial? Which factors make an average analyst a desired employee on the list of recruiters?

The answer is going to be skills, skills acquired through experience and a deep understanding of business. However, if you are serious about building this winning combination, then a data science certification in Pune can be your foundation for success.

Why the Demand for Data Scientists Is So High

It has become a trend for every industry to become data-driven. No matter whether it is related to the healthcare sector, finance, e-commerce, or even sports, everyone desires data insights. And that is why many organizations in the international market have hired data scientists as never before.

Pune city in India has become one of the preferred destinations for seekers in data science. For all these reasons, starting your journey with a data science course in Pune is a wise choice because the city houses numerous growing IT companies and boasts a start-up, as well as an academic culture.

What Makes a Data Scientist Truly Employable?

Thus, to become the kind of data scientist every company would like to have on their team, one has to step beyond theory and know how to apply it. This is the reason. The following are the top things or qualities, or job requirements that employers are looking for:

1. A Solid Educational Foundation

Gaining structured knowledge through a data science certification in Pune is quite beneficial for the learners. From Python coding to machine learning and other statistical learning, an accreditation guarantees that the data scientist has mastery of the foundational practices of the trade.

Example: Meera completed her graduation in computer science and then took a certification course to enter data science. She could soon get a job at a Pune-based fintech firm, where she develops machine learning models to decrease the loan default percentage by 20%.

2. Hands-On Training with Real Projects

Theoretical learning isn't enough. Companies want professionals who can handle real-world challenges. That’s where data science training in Pune makes a difference—it often includes projects like:

Customer segmentation for retail chains

Predictive modelling for stock prices

Churn prediction for telecom companies

These are the kinds of experiences that make your resume stand out.

Key Skills Every Great Data Scientist Must Have

Whether you're just starting or upgrading your current skills, here's what you must focus on:

● Programming Languages

Proficiency in Python or R is non-negotiable. You'll need them for data wrangling, model building, and automation.

● Statistics and Machine Learning

A deep understanding of algorithms like linear regression, decision trees, and neural networks is crucial. These skills are typically part of every data science course in Pune, helping you build intelligent models.

● Data Visualization Tools

Tools like Tableau, Power BI, or even Matplotlib help convert raw numbers into business-ready insights.

● Business Acumen

You need to understand the “why” behind the data. That's what turns a technical solution into a business success.

Real-Life Scenario: A student from a local data science training in Pune worked with a Pune-based logistics firm. Using clustering models, they optimised delivery routes and saved the company over ₹15 lakhs in a year.

How Pune Helps You Build the Right Career

Choosing Pune isn't just about affordability or convenience. The city is a growing tech ecosystem filled with data-driven companies. Pursuing a data science certification in Pune means:

Access to live projects with local businesses

Mentorship opportunities from professionals already working in the field

A strong community of learners and industry experts

Plus, most data science courses in Pune include career guidance and placement support, which increases your chances of landing your dream role.

Create a Portfolio That Gets You Noticed

A well-structured GitHub portfolio can be more powerful than a resume. Include projects that highlight:

Your data cleaning and analysis skills

Your ability to apply machine learning models

Your storytelling through dashboards and visuals

If you're learning through a data science course in Pune, make sure your course includes project-based assessments that can be showcased to potential employers.

Don't Ignore Soft Skills

Technical skills may get you an interview, but soft skills will help you get the job—and keep it. Companies look for data scientists who are:

Great communicators

Problem solvers

Team players with an analytical mindset

Example: Ravi, a data science professional based in Pune, impressed his hiring team not just with his technical skills but also with his ability to explain model outcomes in layman’s terms. He now leads a team in a major analytics firm.

Career Growth and Earning Potential

Once you've completed your data science certification in Pune, the career path is quite promising. Here's what the industry looks like:

Entry-Level: ₹6–₹10 LPA

Mid-Level (3–5 years): ₹12–₹20 LPA

Senior Roles: ₹25+ LPA depending on leadership and domain expertise

These figures show why more and more people are signing up for data science training in Pune—the ROI is hard to ignore.

The Road Ahead: What You Should Do Next

To become the data scientist every company dreams of hiring:

Choose a hands-on, industry-focused data science certification in Pune

Practice consistently with real-world data.

Build a portfolio that tells your data story.

Stay curious and keep learning.g

The correct data science course in Pune can be your stepping stone to a rewarding and future-proof career. Whether you're switching fields or just starting, Pune offers the tools, network, and opportunities to help you thrive.

Conclusion: Become Unstoppable

In the end, it's not about having a fancy title—it's about making an impact with data. With the right mindset and the proper data science training in Pune, you can become that rare kind of data scientist who doesn't just get hired, but gets remembered.

Your future in data starts now. Are you ready to leap?