varniktechblogs

[varniktechblogs]

Playwright Automation Interview Questions

Preparing for an automation testing interview? Want to confidently answer Playwright automation interview questions and land your dream job?

This guide is designed for learners across India — whether you're a fresher, student, experienced tester, or someone switching careers. If you're based in Hyderabad or looking at roles in India’s top tech cities, you're in the right place.

We'll cover real-world interview questions, simple explanations, and practical tips to help you succeed.

What is Playwright Automation?

Playwright is a powerful open-source automation tool developed by Microsoft. It’s used to test web applications across modern browsers like Chrome, Firefox, Safari, and even mobile environments.

In simple terms, Playwright acts like a robot that performs actions on a website — such as clicking buttons, filling forms, or checking if content loads correctly — just like a real user would.

It’s fast, reliable, and supports multiple languages like JavaScript, TypeScript, Python, and C#. Compared to older tools like Selenium, Playwright is more modern, supports headless testing by default, and is built for today's dynamic websites.

Why Playwright Automation Matters in Hyderabad

Hyderabad has become one of India’s major tech hubs. From large IT parks in HITEC City to fast-growing startups in Madhapur and Gachibowli, automation testing skills are in high demand. Playwright is increasingly becoming the preferred tool for automation in many of these companies.

Here’s why Playwright is relevant in Hyderabad:

Many companies are shifting from Selenium to Playwright for faster test execution

Job postings frequently list Playwright experience as a desired skill

Playwright supports modern frameworks, which aligns with current tech stacks in use across Hyderabad-based firms

According to recent job portal data, nearly 40% of automation testing roles in Hyderabad now mention Playwright specifically.

Key Benefits of Learning Playwright Automation

Here’s why Playwright is a great tool to add to your resume:

In-demand skill across IT, fintech, and product companies

High salary potential for testers and SDETs

Easier learning curve for beginners with JavaScript or Python background

Automates tests for all major browsers in one framework

Supports headless and parallel testing, speeding up test execution

Works well with CI/CD tools like Jenkins and GitHub Actions

Backed by Microsoft, with strong community and updates

What You’ll Learn in a Playwright Automation Course

If you're planning to take a structured course in Playwright (such as the one we offer at Varnik technologies), here’s a breakdown of what you’ll cover:

Core Modules

Introduction to Playwright

How Playwright differs from Selenium

Setting up the Playwright environment

Writing your first automated test

Advanced Topics

Locators and selectors (CSS, XPath, role-based selectors)

Handling UI elements like alerts, dropdowns, and iFrames

Creating reusable code with Page Object Model (POM)

Parallel testing and configuration files

Debugging and Reporting

Debugging Playwright scripts effectively

Capturing screenshots, videos, and test logs

Generating detailed HTML and JSON reports

Cross-Browser and Mobile Testing

Running tests on Chromium, Firefox, and WebKit

Emulating mobile devices and screen sizes

API Automation (Bonus Module)

Writing API tests using Playwright

Combining UI and API tests into a single suite

Career Paths and Real-World Use Cases

Playwright skills open doors to multiple high-paying roles in today’s software development and testing ecosystem.

Job Roles That Use Playwright

QA Automation Engineer

Software Development Engineer in Test (SDET)

Test Analyst

Full Stack QA

DevOps Engineer with test automation focus

Companies Hiring for Playwright Skills

Global MNCs like Cognizant, Accenture, Infosys

Product firms like Microsoft, Salesforce, Oracle

Startups in sectors like health tech, edtech, and fintech

Remote-first companies hiring from across India

Real-World Testing Scenarios

Automating login and signup flows for e-commerce apps

Cross-browser testing for responsive websites

Continuous integration testing pipelines

Regression testing before product launches

Tools, Tips and Best Practices

To succeed in Playwright automation, focus on both the tools and the right approach to learning.

Tools Commonly Used with Playwright

Visual Studio Code (VS Code) for coding and debugging

Git and GitHub for version control

Playwright Test Runner for execution

Allure or built-in HTML reporter for test reporting

Jenkins, GitHub Actions, or Azure DevOps for CI/CD

Best Practices for Learning

Practice small scripts daily to build confidence

Focus on handling dynamic elements and asynchronous waits

Use the Playwright Inspector to understand what your test is doing

Start with UI tests, then move to end-to-end test suites

Join Playwright user groups or forums for updates and tips

Follow Indian job boards to track what interviewers are asking

How Varnik technologies Supports Your Learning

At Varnik technologies, we specialize in helping learners from Hyderabad and across India build real-world skills in automation testing — fully online.

Online Learning, Built for You

Live sessions taught by working professionals

Weekend and evening batches for working learners

Recorded sessions for lifetime access

Doubt-clearing forums and discussion groups

Project-Based Learning

Real-world assignments and mini-projects

GitHub portfolio setup to showcase your work

Resume and LinkedIn optimization sessions

Mock interviews and HR preparation

Certification and Placement Assistance

Industry-recognized course completion certificate

Placement support with job alerts and referrals

Interview guidance tailored to Playwright roles in India

Learner Success Spotlight

One of our students, a manual tester in Hyderabad, switched to automation after completing our Playwright course. Within 3 months, she landed a role as a QA Automation Engineer with a 70% salary hike.

Final Thoughts: Start Your Playwright Journey Today

Playwright is changing how web testing is done in modern software teams. If you want to future-proof your career, especially in India’s growing tech markets like Hyderabad, now is the right time to learn Playwright.

In this guide, you’ve learned:

What Playwright is and how it works

Why companies in Hyderabad and beyond prefer it

What interviewers expect you to know

How Varnik technologies can support your growth

Take the Next Step with Varnik technologies

Join our Playwright Automation Training Course today to:

Learn from real-world projects

Get job-ready in weeks

Prepare for interviews with confidence

Ready to get started?

Download the full course syllabus or talk to our expert counselors now to plan your learning journey.

[varniktechblogs]

Generative AI vs Machine Learning

In the fast-moving world of technology, two terms are grabbing attention — Generative AI and Machine Learning. If you're based in Hyderabad or working in India’s tech sector, you’ve likely come across these words.

But what do they really mean? What’s the difference? And most importantly — which one should you learn to build a better career?

This guide will explain Generative AI vs Machine Learning in a way that’s simple, practical, and useful — especially for students, working professionals, and career switchers.

What is Generative AI vs Machine Learning?

Let’s start with the basics and keep it simple.

Machine Learning (ML)

Machine Learning is a branch of Artificial Intelligence. It teaches computers to learn from data and make decisions — without being directly told what to do.

Think of it like this: You feed a computer hundreds of emails. It learns how to separate spam from genuine messages over time. That’s machine learning in action.

Where you’ve seen it:

Product recommendations on Amazon

Credit card fraud alerts from banks

Email spam filters

Language translations

Generative AI (Gen AI)

Generative AI is a type of machine learning. But instead of just learning patterns, it creates new content based on what it has learned.

Examples include:

ChatGPT writing blogs, emails, or summaries

Tools like DALL·E generating images from text

AI building new music, code, or design layouts

So in short:

Machine Learning = Learn from data

Generative AI = Learn + Create new things

Why Generative AI vs Machine Learning Matters in Hyderabad

Hyderabad is now one of India’s biggest tech cities. Companies like Microsoft, Google, Infosys, Deloitte, and TCS have major offices here. Startups and mid-size firms are also rapidly investing in AI technologies.

Here’s why these fields matter locally:

Thousands of job openings every year in AI, data science, and automation

Hyderabad tech firms are adopting AI for software, analytics, customer support, and cybersecurity

Local salaries in AI and ML roles are higher than most traditional IT roles

Government-backed initiatives are supporting AI skill development in Telangana

If you’re looking to future-proof your career in Hyderabad or any major Indian city, learning AI is a smart move.

Key Benefits of Learning Generative AI vs Machine Learning

Here’s why investing in these skills can transform your career:

High demand across industries like IT, healthcare, fintech, e-commerce, and edtech

Job roles in both domestic and international companies

Fast-growing field with long-term career security

Better salary packages, even for freshers and career switchers

Helps you work on exciting and real-world applications like voice assistants, fraud detection, and intelligent apps

Opens doors to freelancing, consulting, and remote work opportunities

Whether you're a student exploring tech or a working professional planning to upskill, these technologies give you a strong edge.

What You’ll Learn in Our Course

At Varnik Technologies, our expert-designed course covers both machine learning and generative AI — from the ground up.

Machine Learning Topics:

Introduction to Python for data

Supervised and unsupervised learning

Algorithms: regression, clustering, decision trees

Data preparation and cleaning

Model evaluation and tuning

Hands-on projects using Scikit-learn and real-world datasets

Generative AI Topics:

Fundamentals of generative AI and prompt engineering

Using tools like ChatGPT, Gemini, Claude

Text and image generation

Introduction to OpenAI APIs and DALL·E

Building chatbots, content tools, resume builders, and creative applications

Understanding transformers and fine-tuning models

You will complete live projects that reflect real job requirements. No theory-only learning.

Career Paths and Real-World Use Cases

AI is not just for data scientists. Many roles today involve some level of automation, machine learning, or content generation.

Popular Job Roles You Can Aim For:

Machine Learning Engineer

AI Software Developer

Prompt Engineer

Data Analyst / Business Analyst

Full Stack Developer with AI integration skills

AI Research Assistant

QA Tester with automation exposure

Product Manager (AI-based tools)

Where You’ll Use These Skills:

Tech companies in Hyderabad building AI-driven apps

Indian startups using Gen AI for customer service and marketing

E-commerce firms automating product descriptions or chatbots

Banks using ML for fraud detection and credit scoring

Healthcare AI tools for medical imaging, diagnostics, and patient engagement

These skills aren’t just theoretical — they’re in use across industries right now.

Tools, Tips, and Best Practices

Tools You'll Learn:

Python, NumPy, Pandas

Scikit-learn for machine learning

OpenAI tools for generative AI

Hugging Face for model deployment

Google Colab and Jupyter for hands-on practice

Midjourney, DALL·E for creative AI

LangChain for chaining prompts

VS Code for coding environments

Tips for Success:

Start with small projects — don’t rush

Practice daily with real data

Don’t just watch videos — build your own models

Use free resources like Kaggle, GitHub, and open datasets

Join AI meetups and tech communities in Hyderabad

Showcase your work on LinkedIn and GitHub

Ask questions, take feedback, and keep improving

Learning AI is a continuous journey — consistency is more important than speed.

How Varnik Technologies Supports Your Learning

We understand the needs of Indian learners — students, working professionals, and job seekers alike. At Varnik Technologies, our course is built to help you succeed from day one.

What You Get:

100% online training — learn at your own pace

Expert instructors with deep industry experience

Project-based learning — build real applications

Personalized guidance and feedback

Resume reviews and interview practice

Placement support and job referrals

Certificate of completion to showcase your skills

We have helped thousands of learners from Hyderabad and other Indian cities upskill and step into better roles. You could be next.

Final Thoughts: What Should You Choose?

So, Generative AI or Machine Learning — which one is right for you?

The truth is, you don’t have to choose. Generative AI is built on machine learning, so by learning the basics of both, you build a full set of modern AI skills.

If you're in Hyderabad or anywhere in India’s tech industry, this is a career-defining opportunity. Whether you're aiming for a promotion, a new job, or a switch to a high-growth field — AI is where the future is headed.

Next Steps

Are you ready to start learning?

Join the AI and Machine Learning course by Varnik Technologies and take the first step toward a smarter career.

Download the detailed course syllabus

Speak to our career counselor for one-on-one advice

Enroll and start building projects from day one

Take action today — the future belongs to those who learn AI now.

[varniktechblogs]

Data Science Career Paths

Looking to start or grow your career in data science? You’re in the right place. This guide will walk you through what data science career paths look like, why they matter in Hyderabad, and how you can build a strong future with the right skills.

Whether you’re a student, a working professional, or someone switching careers, this page will help you understand what to learn, what jobs to aim for, and how Varniktech can support you — 100% online.

What is a Data Science Career Path?

A data science career path is the journey you take as you grow your skills and move through roles in the world of data. Think of it like a map. You start with the basics, like Excel or Python, and move into bigger roles like Data Analyst, Machine Learning Engineer, or even a Chief Data Officer.

Let’s say you love solving puzzles. In data science, your puzzle pieces are numbers, facts, and patterns. Your job is to put those pieces together to solve real-world business problems — from predicting sales to preventing fraud.

Why Data Science Career Paths Matter in Hyderabad

Hyderabad is one of India’s biggest IT hubs. From global MNCs to fast-growing startups, every company is generating tons of data. And they all need skilled people to make sense of it.

Local Trends You Should Know:

Hyderabad is home to top firms hiring for data roles: Deloitte, Amazon, TCS, Infosys, Accenture.

Over 35% of IT job listings in Hyderabad now mention data skills (Source: Naukri Jobs Report 2025).

The Telangana state is pushing AI, machine learning, and analytics as part of its digital economy.

If you live in or around Hyderabad — or want a remote job with top Hyderabad-based firms — learning data science gives you a huge advantage.

Key Benefits of Learning Data Science

Here’s why more and more people are choosing the data science career path in India:

High Salaries: Entry-level roles start at ₹6 LPA, and can go beyond ₹25 LPA with experience.

Job Demand: 1.5 lakh+ open roles across India (LinkedIn, 2025).

Career Flexibility: You can work in IT, healthcare, banking, e-commerce, or even sports analytics.

Remote Opportunities: Most data jobs can be done from anywhere — even from your home in Hyderabad.

Future-Proof Career: Data skills are needed in AI, robotics, and automation.

What You’ll Learn in a Data Science Course

A good data science course doesn’t just teach you theory — it gives you the real tools used by professionals. At Varniktech, here’s what we cover:

Core Modules:

Python for Data Science

Statistics & Probability Basics

SQL & Databases

Data Wrangling & Cleaning

Data Visualization with Power BI & Tableau

Machine Learning with Scikit-learn

Deep Learning with TensorFlow

Big Data Tools like Spark & Hadoop

Real-time Projects using Live Datasets

Capstone Projects for Portfolio Building

All modules are taught by experts working in the industry, and the pace is beginner-friendly.

Career Paths & Real-World Use Cases

There’s no one way to succeed in data science — you can choose a path based on your interest and strengths. Here are some of the most popular job roles in India right now:

Popular Career Roles:

Data Analyst – Clean, visualize, and interpret data

Business Intelligence (BI) Analyst – Help teams make smart business decisions

Data Scientist – Build models to predict and automate decisions

ML Engineer – Deploy machine learning systems in production

Data Engineer – Manage large datasets and pipelines

AI/Deep Learning Specialist – Work on advanced AI systems

Product Analyst – Analyze user data to improve products

Fraud Analyst / Risk Analyst – Popular in fintech and banking

Real-World Use Cases in Hyderabad:

E-commerce: Flipkart and Amazon use data science to recommend products.

Healthcare: Startups in HITEC City are using AI to predict patient risks.

Finance: Banks like ICICI and SBI need data experts to detect fraud.

Startups: Analytics-driven hiring is booming in unicorn startups based in Hyderabad.

Tools, Tips & Best Practices

To grow in your data science career, mastering the right tools and following smart learning tips is key.

Must-Know Tools:

Python – for coding and automation

Jupyter Notebooks – for sharing and explaining code

Tableau / Power BI – for dashboards and reports

SQL – for pulling data from databases

Scikit-learn – for machine learning

Git & GitHub – for version control

Google Colab – for online, no-install coding

Quick Learning Tips:

Practice every day on Kaggle or GitHub

Work on real datasets (not just theory)

Break projects into small tasks

Watch how professionals solve problems on YouTube

Join data science forums or Telegram groups for doubt clearing

How Varniktech Supports Your Learning

Varniktech is an online-only training platform — so you learn from anywhere, at your own pace, without giving up your job or studies. But we still give you full support like any top institute in Hyderabad.

What Makes Us Different:

Expert Trainers: Learn from professionals working at TCS, Cognizant, and Deloitte

Live Classes + Recordings: Never miss a session

Real Projects: You’ll build a data science portfolio to show recruiters

Interview Prep: Resume building, mock interviews, and placement guidance

Certifications: Industry-recognized credentials

Placement Assistance: We help connect you with companies hiring for remote and Hyderabad-based roles

Student Success Stories: Many of our students have landed jobs in Capgemini, Wipro, and startups after completing the course

You also get access to peer learning, Telegram study groups, and lifetime course access.

Final Thoughts — Start Your Data Science Journey Today

A career in data science isn’t just a trend. It’s the future of work — and Hyderabad is at the center of this tech shift. Whether you’re a beginner or someone switching from IT support or testing, learning data science can change your career trajectory.

At Varniktech, we make that journey smooth and accessible — through expert teaching, project-based learning, and complete job support.

 Ready to start your data science career path?  [Join Varniktech’s Data Science Program Now]   [Download Course Syllabus]   [Talk to a Career Counselor]

[varniktechblogs]

The Best Python Libraries for Machine Learning in 2025 – What You Should Know

Python is everywhere in the world of tech—and for good reason. If you're exploring machine learning (ML) in 2025, one thing is clear: Python and its libraries are your best allies.

Whether you're a student, a self-learner, or someone looking to switch careers into tech, understanding the most effective tools in ML will give you a head start. This blog breaks down the top Python libraries used by professionals across India, especially in growing tech hubs like Hyderabad.

Why Do Python Libraries Matter in ML?

When building machine learning models, you don’t want to reinvent the wheel. Python libraries are collections of functions and tools designed to make your work easier.

They help you:

Clean and organize data

Train machine learning models

Visualize results

Make accurate predictions faster

Think of them like essential tools in a workshop. Instead of building everything from scratch, you pick up the tool that does the job best—and get to work.

Why Indian Professionals Should Care

India’s tech industry has embraced machine learning in a big way. From healthcare startups to global IT firms, organizations are using ML to automate tasks, make predictions, and personalize services.

In cities like Hyderabad, there’s growing demand for professionals with Python ML skills. Roles like Data Analyst, ML Engineer, and AI Developer now require hands-on knowledge of popular Python libraries. Knowing the right tools can set you apart in a competitive job market.

The Top 10 Python Libraries for ML in 2025

Here’s a list of libraries that are shaping the ML landscape this year:

1. Scikit-learn

A great starting point. This library simplifies common ML tasks like classification, regression, and clustering. It’s lightweight, reliable, and perfect for beginners.

2. TensorFlow

Developed by Google, TensorFlow is ideal for deep learning tasks. If you're working on image recognition, natural language processing, or neural networks, this is your go-to.

3. PyTorch

Favored by researchers and startups, PyTorch is known for its flexibility. It’s widely used in academic research and increasingly in production environments.

4. Pandas

If you’re working with spreadsheets or structured datasets, Pandas helps you manipulate and clean that data effortlessly.

5. NumPy

The foundation of scientific computing in Python. Most ML libraries depend on NumPy for numerical operations and matrix handling.

6. Matplotlib

Used to create basic plots and charts. It helps in visually understanding the performance of your models.

7. Seaborn

Built on Matplotlib, Seaborn allows for more attractive and informative statistical graphics.

8. XGBoost

A high-performance gradient boosting library. It’s used in many real-world systems for tasks like fraud detection and recommendation engines.

9. LightGBM

Faster and more memory-efficient than XGBoost. Especially useful for large datasets and real-time predictions.

10. OpenCV

Focused on computer vision. Great for image processing tasks like face detection, motion tracking, and object recognition.

Real-World Use Cases in India

These libraries are more than just academic. They’re being used every day in industries such as:

Retail – To personalize shopping experiences

Finance – For credit scoring and fraud prevention

Healthcare – In patient data analysis and disease prediction

EdTech – To deliver adaptive learning platforms

Government – For data-backed policy-making and smart city management

Companies in Hyderabad like Innominds, Darwinbox, and Novartis actively hire ML professionals skilled in these tools.

Where Should You Start?

If you’re new to machine learning, here’s a basic learning path:

Begin with NumPy and Pandas to understand data manipulation.

Learn Matplotlib and Seaborn for data visualization.

Dive into Scikit-learn to learn standard ML algorithms.

Once you’re confident, move on to TensorFlow, PyTorch, and XGBoost.

Starting with foundational tools makes it easier to understand complex ones later.

Tips to Learn These Tools Effectively

Here are a few things that helped many learners master these libraries:

Start with small projects like predicting house prices or student grades

Use publicly available datasets from Indian sources like data.gov.in

Practice regularly—30 minutes a day is better than none

Read documentation but also apply what you learn immediately

Watch tutorial videos to see how others solve ML problems step-by-step

Avoid the mistake of rushing into deep learning before understanding basic concepts.

How to Learn These Libraries Online

Online training is the best option if you want flexibility and practical learning. At Varniktech, you can access:

Instructor-led live sessions focused on real-world problems

Projects based on Indian industry use cases

Job preparation support, including mock interviews and resume building

Flexible batch timings for working professionals and students

Whether you're in Hyderabad or learning from another city, you can access everything online and complete your training from home.

Final Thoughts

Mastering the right Python libraries for machine learning can boost your career, help you build better projects, and make you stand out in job applications. With the tech industry growing rapidly in India, especially in cities like Hyderabad, there’s never been a better time to learn these tools.

The key is to start small, be consistent, and focus on building real projects. Once you’re confident with the basics, you can take on more advanced challenges and explore deep learning.

Want to dive deeper into machine learning with Python?

Visit varniktech.com to access structured courses, download free resources, and join our upcoming batch focused on Python for Machine Learning.

[varniktechblogs]

The Top Java Frameworks to Learn in 2025

Java is still a major force in the tech world — especially in India. It powers everything from online banking systems to mobile apps and even cloud-based services. But here’s the thing: knowing just “core Java” isn’t enough anymore. To land the top jobs, you need to know the right Java frameworks that real companies are using in 2025.

If you're a student, fresher, working professional, or planning a switch to tech, this guide will walk you through the best Java frameworks to learn this year — no jargon, just clarity.

What’s a Java Framework, Anyway?

Think of it like this — if Java is your toolkit, a framework is the ready-made design template. You don’t have to build every wall or wire every circuit yourself. Java frameworks help you get real projects done faster by giving you structure, pre-written code, and tools that just work.

They’re used for things like building websites, creating APIs, connecting to databases, or running cloud apps.

Why Should You Learn Java Frameworks?

India’s tech job market has changed. Companies now expect hands-on experience with at least one or two frameworks — especially if you’re applying for backend, API, or full stack roles.

Here’s what learning frameworks can do for your career:

Help you get hired faster

Increase your starting salary

Let you build projects that impress recruiters

Make you more productive as a developer

So, What Are the Best Java Frameworks in 2025?

Let’s break down the top options you should consider — all of these are being used across Hyderabad, Bangalore, Pune, and other tech cities in India.

1. Spring Boot If you're serious about backend development, start here. Spring Boot is fast, modern, and great for building APIs and microservices. Most Indian IT companies use it — from product firms to big service providers.

2. Hibernate Want to work with databases in Java? Hibernate makes it way easier. Instead of writing endless SQL, you just write Java code — and Hibernate handles the rest.

3. Jakarta EE Previously known as Java EE, it’s still used in government and enterprise projects across India. It’s powerful, stable, and a good skill to have if you’re aiming for traditional IT roles.

4. Quarkus New and fast. Quarkus is built for the cloud and perfect for microservices. If you’re interested in DevOps or want to learn cloud-native Java, this is a great choice.

5. Micronaut Another lightweight framework that’s growing in popularity. Micronaut is all about speed and efficiency, and it's gaining traction in IoT and cloud projects.

6. JSF (JavaServer Faces) Used mainly in legacy enterprise systems and public sector platforms. Not as modern as others, but still around in older projects that need support and maintenance.

7. Play Framework More popular in startup environments. If you want to build responsive web apps fast, especially prototypes or MVPs, Play is a solid choice.

What Kind of Jobs Can You Get?

Once you're skilled in one or two of these frameworks, you're ready to apply for real roles like:

Java Backend Developer

Full Stack Java Developer

API or Microservices Engineer

Java Consultant (Finance or Telecom)

Software Engineer (Java + Cloud)

And yes, these roles exist in thousands across India — in startups, MNCs, IT services, and even government tech jobs.

What’s the Best Way to Learn?

If you're starting out, don’t try to learn everything at once. Here’s a simple learning path:

Learn core Java (OOP, data structures, JDBC)

Pick one framework like Spring Boot and focus deeply

Build a small project — even a To-Do app or simple booking system

Add Hibernate to manage data

Explore cloud-friendly tools like Quarkus later

You can learn all this through online courses, tutorials, or full-time programs. Just make sure you’re doing hands-on coding — not just watching videos.

Final Thoughts

If you're planning to build a career in software development in India, learning Java frameworks is a practical and smart move in 2025. Whether you're preparing for interviews, building portfolio projects, or switching fields — frameworks like Spring Boot and Hibernate will give you an edge.

So start small. Pick one framework. Build something real. And stay consistent.

If you're curious about how to combine Java frameworks with front-end tools, or need help picking between Spring Boot and Django, feel free to ask. Always happy to help you figure things out.