#automation tools to test api
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fireflink1 ¡ 1 year ago
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Best Practices for Setting up a Test Bed
Setting up an effective test bed necessitates a thorough grasp of the testing needs. This includes gathering and prioritizing needs, assessing limitations, and documenting specifications.
Verifying the best automation testing tool for web applications connection is critical for ensuring that the components communicate well with one another. Conduct connection tests to check that the network configurations are correct, and that the hardware and software components function together seamlessly.
This entails validating the availability and installation of multiple browsers, including Chrome, Firefox, Safari, and Edge, as well as their versions. To ensure backward compatibility, start with a lower version of the browser and subsequently update to the most recent version.
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yethiconsulting ¡ 2 days ago
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Pitfalls of Automation Testing in Quality Assurance
While automation testing offers speed, scalability, and consistency, it’s not without its pitfalls. Many QA teams dive into automation without a clear strategy, leading to wasted effort and unreliable test results.
One common mistake is automating the wrong test cases. Not all tests are suitable for automation—frequently changing UIs, exploratory tests, and one-time scenarios are better handled manually. Without prioritization, teams may spend more time maintaining scripts than gaining value from them.
Over-reliance on API Automation Testing is another issue. Automation should complement, not replace, manual testing. Critical thinking, usability checks, and visual validations still require human insight.
Poorly designed test scripts can also create brittle frameworks that fail with minor UI changes. This leads to high maintenance costs and test flakiness, undermining confidence in the automation suite.
Additionally, inadequate test data management and unstable test environments often cause false failures, masking real bugs or delaying releases.
To avoid these pitfalls, QA teams must define a clear test automation strategy, choose the right tools, and continuously evaluate test effectiveness. Regular code reviews, modular test design, and collaboration between developers and testers are key to successful automation.
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qualityassurance11 ¡ 11 days ago
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How to Choose the Right Automation Framework for Your Team 
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As software development cycles become shorter and more agile, the pressure to deliver high-quality software faster is growing. Automation testing plays a crucial role in achieving this speed without compromising on quality. However, the success of your automation efforts largely depends on choosing the right automation testing framework.
A well-chosen framework improves test efficiency, reduces maintenance overhead, and enhances collaboration across teams. In this blog, we’ll walk you through essential criteria, framework types, team considerations, and tips for making the right choice.
What Is an Automation Framework?
An automation framework is a structured set of guidelines that help in efficient automation of testing tasks. It includes:
Standards for coding
Test data handling
Object repositories
Reporting and logging tools
Integration with CI/CD pipelines
The framework acts as the backbone of your test automation strategy — defining how tests are created, executed, and reported.
Types of Automation Testing Frameworks
Before choosing one, it’s important to understand the different types of automation frameworks available:
1. Linear Scripting Framework
Best for: Small projects and teams with minimal automation experience.
Description: Record-and-playback; fast but not scalable.
Drawback: Lacks modularity; hard to maintain.
2. Modular Testing Framework
Best for: Medium-sized teams with a moderate level of complexity.
Description: Breaks down the application into modules and writes test scripts for each.
Benefit: High reusability.
3. Data-Driven Framework
Best for: Apps requiring testing with various data sets.
Description: Separates test data from scripts; uses external files like Excel or CSV.
Benefit: Greater flexibility and scalability.
4. Keyword-Driven Framework
Best for: Non-technical testers or business analysts.
Description: Uses keywords to represent actions (e.g., click, input).
Benefit: Highly readable and reusable.
5. Hybrid Framework
Best for: Teams with complex testing needs.
Description: Combines features of data-driven and keyword-driven frameworks.
Benefit: Balanced performance and maintainability.
6. Behavior-Driven Development (BDD) Framework
Best for: Agile teams with high collaboration between QA and business stakeholders.
Description: Uses Gherkin syntax for writing test cases.
Tools: Cucumber, SpecFlow, Behave.
Benefit: Encourages collaboration and better documentation.
Factors to Consider When Choosing the Right Framework
Choosing a framework isn’t one-size-fits-all. Here are key considerations to make an informed decision:
1. Team Skill Set
Is your team well-versed in scripting languages?
Can non-technical members contribute?
Choose frameworks that align with your team’s current capabilities.
Pro Tip: If your team has minimal coding experience, BDD or keyword-driven frameworks are ideal.
2. Application Under Test (AUT)
Web, mobile, desktop, or API?
Complex UI or heavy data processing?
The nature of your application impacts framework choice.
Example: Appium is great for mobile, while Selenium suits web applications.
3. Integration Needs
Does it integrate well with CI/CD tools like Jenkins or GitLab?
Can it support your preferred reporting and defect-tracking tools?
Pro Tip: Choose frameworks that offer easy plugin support or REST APIs for integrations.
4. Maintenance & Scalability
Can the framework handle a growing number of test cases?
How easy is it to update and maintain?
Example: Hybrid frameworks are more scalable compared to linear scripting ones.
5. Community and Support
Does the framework have active community support?
Are regular updates and patches available?
Pro Tip: Opt for open-source tools with strong community backing like Selenium, Playwright, or Cypress.
6. Cost & Licensing
Are you looking for open-source or commercial tools?
What’s your budget?
Example: Selenium is free; tools like TestComplete are licensed but offer enterprise-grade features.
How to Evaluate a Framework: Decision Checklist
Use this checklist to evaluate potential frameworks:
✅ Supports your tech stack
✅ Fits your team’s skill level
✅ Easily integrates into CI/CD
✅ Offers robust documentation
✅ Provides reusable and modular code structure
✅ Maintains test data separately
✅ Scales well with test suite growth
Creating a Proof of Concept (PoC)
Before committing to a framework, run a small pilot or proof of concept:
Automate a few critical test cases
Test integration with CI/CD
Measure execution time and reporting capabilities
This real-world validation helps avoid surprises later.
Tips for a Successful Framework Implementation
Document Everything — From setup to teardown.
Create Reusable Components — Keep your code DRY (Don’t Repeat Yourself).
Invest in Training — Upskill your team for better ROI.
Adopt a Naming Convention — Helps organize and scale your test suite.
Review Regularly — Reassess your framework choice every 6–12 months.
Conclusion
Choosing the right automation framework is not just a technical decision — it’s a strategic one. It impacts productivity, test coverage, team collaboration, and ultimately, software quality.
By evaluating your team’s skill set, understanding your application requirements, and considering scalability and integration needs, you can confidently select a framework that aligns with your goals.
If you’re looking for a platform that simplifies this process, GhostQA offers an intuitive, AI-powered automation testing solution designed for agile teams. Whether you’re working on web, mobile, or API testing, GhostQA helps accelerate test cycles with smart script generation, seamless CI/CD integration, and actionable analytics — making it easier than ever to scale your quality assurance efforts.
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golden42 ¡ 4 months ago
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Lazy Loading Page Speed Optimization: Efficient Practices & Tips
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Key Takeaways
Lazy loading can significantly improve page speed by loading only necessary content initially, reducing initial load times.
Implementing lazy loading can save bandwidth, which is crucial for users on limited data plans.
This technique enhances user experience by ensuring faster interactions and smoother scrolling.
SEO can benefit from lazy loading as search engines prefer faster websites, potentially improving rankings.
To effectively implement lazy loading, use browser-native features and ensure compatibility across different devices.
Enhancing Web Performance with Lazy Loading
In today's fast-paced digital world, web performance is more critical than ever. Slow websites can drive users away, impacting engagement and conversions. One powerful technique to boost performance is lazy loading. By understanding and implementing lazy loading, you can optimize your website's speed and efficiency, keeping your visitors engaged and satisfied.
Understanding the Need for Speed
Users expect websites to load quickly and efficiently.
Slow loading times can lead to higher bounce rates.
Improved speed enhances user satisfaction and retention.
Most importantly, speed is not just a luxury; it's a necessity. Users are increasingly impatient, and a delay of even a few seconds can cause them to abandon your site. Therefore, ensuring that your site loads swiftly is crucial for maintaining user interest and engagement.
Lazy loading offers a solution by optimizing the loading process. Instead of loading every element of a page at once, lazy loading prioritizes essential content and defers non-essential elements. This approach can make a dramatic difference in how quickly your site feels to users.
Lazy Loading: A Game Changer for Web Efficiency
Lazy loading is more than just a buzzword; it's a transformative technique for web optimization. By deferring the loading of non-essential elements, such as images and videos, until they are needed, lazy loading reduces the initial load time of a webpage.
Images and videos load only when they enter the viewport.
Reduces server requests, enhancing page speed.
Particularly beneficial for mobile users with limited bandwidth.
Besides that, lazy loading helps in conserving resources, which is particularly beneficial for mobile users who might be on limited data plans. By only loading what's necessary, users experience faster interactions and smoother scrolling, which can significantly improve their overall experience.
Eager Loading: When Immediate Isn't Ideal
Eager loading, the opposite of lazy loading, involves loading all page elements at once. While this approach might seem straightforward, it can lead to longer initial load times, especially on content-heavy pages. Therefore, eager loading is not always the best choice, particularly when dealing with large images or videos.
Lazy loading, on the other hand, ensures that your website delivers essential content swiftly, making it an ideal choice for optimizing page speed and improving user experience.
Benefits of Lazy Loading
Lazy loading isn't just about speed; it's about creating a seamless and efficient user experience. Let's delve into the various benefits it offers.
Faster Initial Load Times
By loading only the necessary elements initially, lazy loading significantly reduces the time it takes for a page to become interactive. Users can start engaging with the content almost immediately, without waiting for all elements to load.
This immediate engagement is crucial in retaining user interest. For instance, if your homepage loads quickly, users are more likely to explore further, increasing the chances of conversion.
Additionally, faster load times can have a positive impact on your website's bounce rate. Users are less likely to leave if they don't have to wait for content to load, which can improve your site's overall performance metrics.
Loading Images Efficiently
Images often account for the majority of a webpage's load time. By implementing lazy loading for images, you can significantly improve your page speed. This involves loading images only when they are about to enter the viewport. As a result, users won't have to wait for all images to load before they can interact with your content.
To do this effectively, you can use the loading="lazy" attribute in your image tags. This attribute tells the browser to defer loading the image until it is close to being visible. Additionally, consider using responsive image techniques to serve different image sizes based on the user's device, further optimizing load times.
Handling Videos and Media Content
Videos and other media content can be resource-intensive, causing significant delays in load times if not managed properly. Lazy loading can also be applied to these elements. By embedding videos with lazy loading techniques, you ensure they only load when a user scrolls to them.
For example, instead of directly embedding a video, use a thumbnail image with a play button overlay. When the user clicks the play button, the video loads and plays. This not only saves bandwidth but also improves the initial loading speed of the page.
JavaScript and CSS Deferred Loading
JavaScript and CSS files are essential for modern web applications, but they can also be a bottleneck if not handled correctly. Lazy loading these resources involves deferring their loading until they are needed. This can be achieved using the defer and async attributes for JavaScript files.
The defer attribute ensures that the script is executed after the HTML document has been parsed, while the async attribute allows the script to be executed as soon as it's available. For CSS, consider using media queries to load stylesheets conditionally based on the user's device or viewport size.
Tips for Optimizing Lazy Loading
Implementing lazy loading is just the beginning. To truly optimize your website's performance, follow these additional tips and best practices.
Use Browser Native Features
Modern browsers offer native support for lazy loading, making it easier than ever to implement this technique. By using native features, you can ensure compatibility and reduce the need for third-party libraries, which can add unnecessary overhead.
To take advantage of these features, simply add the loading="lazy" attribute to your image and iframe tags. This simple addition can have a significant impact on your page speed, especially for image-heavy sites.
Besides, using native features ensures that your site remains future-proof, as browsers continue to enhance their support for lazy loading and other performance optimizations.
Minimize Default Image Size
Before applying lazy loading, it's crucial to optimize your images for size. Large images can still slow down load times, even with lazy loading. Use image compression tools to reduce file sizes without sacrificing quality.
Optimize Animations
Animations can enhance user experience, but they can also impact performance if not optimized. Use CSS animations instead of JavaScript whenever possible, as they are more efficient and can be hardware-accelerated by the browser.
Ensure that animations are smooth and don't cause layout shifts, which can negatively affect user experience. Test your animations on different devices to ensure they perform well across the board.
Remember, the goal is to create a seamless experience for your users. By optimizing animations, you can enhance the visual appeal of your site without compromising performance.
Test Across Multiple Devices
It's essential to test your website on a variety of devices and screen sizes. What works well on a desktop might not perform the same on a mobile device. Use tools like Google PageSpeed Insights to analyze your site's performance and identify areas for improvement.
Regular testing ensures that your lazy loading implementation works as intended across different platforms, providing a consistent experience for all users.
Overcoming Common Lazy Loading Challenges
While lazy loading offers numerous benefits, it's not without its challenges. Addressing these issues ensures that your implementation is successful and doesn't negatively impact your site.
Dealing with SEO Concerns
Lazy loading can sometimes interfere with search engine indexing if not implemented correctly. To ensure your content is indexed, use server-side rendering or provide fallbacks for search engines that may not execute JavaScript. For more insights, check out how lazy loading decreases load time and increases engagement.
Ensure all critical content is available without JavaScript.
Use structured data to help search engines understand your content.
Regularly monitor your site's indexing status in Google Search Console.
These strategies help maintain your site's visibility in search engine results, ensuring that lazy loading doesn't negatively impact your SEO efforts.
Addressing Browser Compatibility Issues
While most modern browsers support lazy loading, some older versions may not. To ensure compatibility, consider using a polyfill or fallback solutions for browsers that don't support lazy loading natively.
By addressing these compatibility issues, you can provide a consistent experience for all users, regardless of their browser choice. Regularly updating your site and testing on different browsers can help you identify and resolve any issues that arise.
Troubleshooting Loading Delays
Even with lazy loading implemented, you might encounter loading delays. This often happens when elements are not optimized or when there are too many third-party scripts running on your site. To troubleshoot these issues, start by identifying the elements that are causing delays. Use tools like Google Chrome's Developer Tools to pinpoint these elements and analyze their loading times.
Once you've identified the culprits, consider compressing images, deferring non-essential scripts, and minimizing the use of third-party plugins. By doing so, you can significantly reduce loading times and improve the overall performance of your website.
The Future of Lazy Loading in Web Development
Lazy loading is set to become an integral part of web development as websites continue to grow in complexity and size. With the increasing demand for faster and more efficient websites, lazy loading offers a practical solution to enhance user experience without compromising on content richness.
"Lazy loading is not just a trend; it's a necessity for modern web development. As websites evolve, so do the techniques we use to optimize them."
As more developers recognize the benefits of lazy loading, we can expect to see advancements in browser support and new tools that make implementation even easier. This evolution will ensure that lazy loading remains a vital component of web optimization strategies.
Emerging Technologies that Support Lazy Loading
Several emerging technologies are poised to enhance lazy loading capabilities. For instance, progressive web apps (PWAs) and server-side rendering (SSR) can work alongside lazy loading to deliver content more efficiently. PWAs offer offline capabilities and faster load times, while SSR ensures that content is rendered on the server, reducing the load on the client's device.
Additionally, advances in artificial intelligence and machine learning could further optimize lazy loading by predicting user behavior and preloading content accordingly. These technologies have the potential to revolutionize how we approach web performance optimization.
The Growing Importance of Mobile Optimization
As mobile usage continues to rise, optimizing websites for mobile devices has become more critical than ever. Lazy loading plays a crucial role in this optimization by reducing data usage and improving load times on mobile networks.
By implementing lazy loading, you can ensure that your mobile users have a seamless experience, regardless of their network conditions. This is particularly important for users in regions with slower internet speeds, where every byte counts.
Frequently Asked Questions
Lazy loading is a powerful tool, but it can also raise questions for those unfamiliar with its implementation. Here are some common questions and answers to help you better understand lazy loading and its impact on your website.
These insights will help you make informed decisions about implementing lazy loading on your site and address any concerns you may have.
"Lazy loading can seem daunting at first, but with the right guidance, it becomes an invaluable asset for web optimization."
What is lazy loading and how does it work?
Lazy loading is a technique that defers the loading of non-essential elements, such as images and videos, until they are needed. This reduces the initial load time of a webpage, allowing users to interact with the content more quickly. By only loading elements when they enter the viewport, lazy loading conserves resources and improves performance.
How does lazy loading affect page speed and SEO?
Lazy loading can significantly enhance page speed by reducing the number of elements that need to be loaded initially. This not only improves user experience but also positively impacts SEO. Search engines favor faster websites, which can lead to improved rankings.
However, it's essential to ensure that lazy loading is implemented correctly to avoid any negative impact on SEO. This includes providing fallbacks for search engines that may not execute JavaScript and ensuring that all critical content is accessible without JavaScript. For more insights, check out this beginner's guide to lazy loading.
By addressing these considerations, you can harness the benefits of lazy loading without compromising your site's visibility in search engine results.
"Faster websites are favored by both users and search engines, making lazy loading a win-win for performance and SEO."
Therefore, lazy loading is an effective strategy for enhancing both user experience and search engine rankings.
What types of content should be lazy loaded?
Lazy loading is particularly beneficial for large images, videos, and other media content that can slow down a webpage. By deferring these elements, you can ensure that users only load what they need, when they need it.
Additionally, lazy loading can be applied to JavaScript and CSS files, further optimizing load times. By prioritizing essential content and deferring non-essential elements, you can create a more efficient and user-friendly website.
Are there any drawbacks to implementing lazy loading?
While lazy loading offers numerous benefits, it does have some potential drawbacks. If not implemented correctly, it can interfere with search engine indexing and result in missing or delayed content. To mitigate these risks, ensure that your lazy loading implementation is compatible with search engines and provides fallbacks for non-JavaScript environments. For more insights, check out Boost Your Website Speed With Lazy Loading.
How do I verify if lazy loading is working on my site?
To verify that lazy loading is working, use browser developer tools to inspect the network activity. Check if images and other media elements are loading only when they enter the viewport. Additionally, tools like Google PageSpeed Insights can help you analyze your site's performance and confirm that lazy loading is functioning as intended.
By regularly monitoring your site's performance and addressing any issues that arise, you can ensure that lazy loading continues to enhance your website's speed and user experience.
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assureqa-ai ¡ 5 months ago
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CI/CD Pipeline Integration: Streamline Software Delivery with Assure QA
In today’s fast-paced development world, CI/CD Pipeline Integration is essential for seamless, automated software delivery. By integrating continuous testing and deployment, businesses can accelerate releases while maintaining quality.
Assure QA is the ultimate online platform for software quality assurance, offering functional, automation, performance, and security testing. With cutting-edge tools, Assure QA ensures robust, high-performing software, tailored to your needs. Whether it's web, API, or cross-browser testing, Assure QA empowers teams with reliable, scalable solutions.
Optimize your CI/CD workflow with Assure QA—where innovation meets reliability!
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jbfly46 ¡ 5 months ago
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Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!
Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:
• Save money while keeping everything local and private.
• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.
• Gain total freedom to explore, scrape, and interact with the web like never before.
You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.
In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.
These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.
This is version 3.0 of these instructions January 26th, 2025.
This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.
What You’ll Achieve
By following this guide, you’ll:
1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.
2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.
3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.
A Deep Dive At ReadMultiplex.com Soon
We will have a deep dive into how you can use this platform for very advanced AI use cases that few have thought of let alone seen before. Join us at ReadMultiplex.com and become a member that not only sees the future earlier but also with particle and pragmatic ways to profit from the future.
System Requirements
Hardware
• RAM: 8 GB minimum (16 GB recommended).
• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).
• Storage: 5 GB free space.
• Graphics: GPU optional for faster processing.
Software
• Operating System: macOS, Windows 10+, or Linux.
• Python: Version 3.8 or higher.
• Git: Installed.
Step 1: Get Your Tools Ready
We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.
Install Python
1. Check Python Installation:
• Open your terminal/command prompt and type:
python3 --version
• If Python is installed, you’ll see a version like:
Python 3.9.7
2. If Python Is Not Installed:
• Download Python from python.org.
• During installation, ensure you check “Add Python to PATH” on Windows.
3. Verify Installation:
python3 --version
Install Git
1. Check Git Installation:
• Run:
git --version
• If installed, you’ll see:
git version 2.34.1
2. If Git Is Not Installed:
• Windows: Download Git from git-scm.com and follow the instructions.
• Mac/Linux: Install via terminal:
sudo apt install git -y # For Ubuntu/Debian
brew install git # For macOS
Step 2: Download and Build llama.cpp
We’ll use llama.cpp to run the DeepSeek-R1 model locally.
1. Open your terminal/command prompt.
2. Navigate to a clear location for your project files:
mkdir ~/AI_Project
cd ~/AI_Project
3. Clone the llama.cpp repository:
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
4. Build the project:
• Mac/Linux:
make
• Windows:
• Install a C++ compiler (e.g., MSVC or MinGW).
• Run:
mkdir build
cd build
cmake ..
cmake --build . --config Release
Step 3: Download DeepSeek-R1 8B 4-bit Model
1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.
2. Download the 4-bit quantized model file:
• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.
3. Move the model to your llama.cpp folder:
mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp
Step 4: Start DeepSeek-R1
1. Navigate to your llama.cpp folder:
cd ~/AI_Project/llama.cpp
2. Run the model with a sample prompt:
./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"
3. Expected Output:
The capital of France is Paris.
Step 5: Set Up Browser-Use Web UI
1. Go back to your project folder:
cd ~/AI_Project
2. Clone the Browser-Use repository:
git clone https://github.com/browser-use/browser-use.git
cd browser-use
3. Create a virtual environment:
python3 -m venv env
4. Activate the virtual environment:
• Mac/Linux:
source env/bin/activate
• Windows:
env\Scripts\activate
5. Install dependencies:
pip install -r requirements.txt
6. Start the Web UI:
python examples/gradio_demo.py
7. Open the local URL in your browser:
http://127.0.0.1:7860
Step 6: Configure the Web UI for DeepSeek-R1
1. Go to the Settings panel in the Web UI.
2. Specify the DeepSeek model path:
~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf
3. Adjust Timeout Settings:
• Increase the timeout to 120 seconds for larger models.
4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.
Step 7: Run an Example Task
Let’s create an agent that:
1. Searches for Tesla stock news.
2. Gathers Reddit mentions.
3. Predicts the stock trend.
Example Prompt:
Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.
--
Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀
Stay tuned fora FREE simple to use single app that will do this all and more.
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blackjackkent ¡ 2 years ago
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Programming object lesson of the day:
A couple days ago, one of the side project apps I run (rpthreadtracker.com) went down for no immediately obvious reason. The issue seems to have ended up being that the backend was running on .NET Core 2.2, which the host was no longer supporting, and I had to do a semi-emergency upgrade of all the code to .NET Core 6, a pretty major update that required a lot of syntactic changes and other fixes.
This is, of course, an obvious lesson in keeping an eye on when your code is using a library out of date enough not to be well supported anymore. (I have some thoughts on whether .NET Core 2.2 is old enough to have been dumped like this, but nevertheless I knew it was going out of LTS and could have been more prepared.) But that's all another post.
What really struck me was how valuable it turned out to be that I had already written an integration test suite for this application.
Historically, at basically every job I've worked for and also on most of my side projects, automated testing tends to be the thing most likely to fall by the wayside. When you have 376428648 things you want to do with an application and only a limited number of hours in the day, getting those 376428648 things to work feels very much like the top priority. You test them manually to make sure they work, and think, yeah, I'll get some tests written at some point, if I have time, but this is fine for now.
And to be honest, most of the time it usually is fine! But a robust test suite is one of those things that you don't need... until you suddenly REALLY FUCKING NEED IT.
RPTT is my baby, my longest running side project, the one with the most users, and the one I've put the most work into. So in a fit of side project passion and wanting to Do All The Right Things For Once, I actively wrote a massive amount of tests for it a few years ago. The backend has a full unit test suite that is approaching 100% coverage (which is a dumb metric you shouldn't actually stress about, but again, a post for another day). I also used Postman, an excellently full-featured API client, to write a battery of integration tests which would hit all of the API endpoints in a defined order, storing variables and verifying values as it went to take a mock user all the way through their usage life cycle.
And goddamn was that useful to have now, years later, as I had to fix a metric fuckton of subtle breakage points while porting the app to the updated framework. With one click, I could send the test suite through every endpoint in the backend and get quick feedback on everywhere that it wasn't behaving exactly the way it behaved before the update. And when I was ready to deploy the updated version, I could do so with solid confidence that from the front end's perspective, nothing would be different and everything would slot correctly into place.
I don't say this at all to shame anyone for not prioritizing writing tests - I usually don't, especially on my side projects, and this was a fortuitous outlier. But it was a really good reminder of why tests are a valuable tool in the first place and why they do deserve to be prioritized when it's possible to do so.
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eazystudioin ¡ 8 days ago
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The Ultimate Guide to Online Media Tools: Convert, Compress, and Create with Ease
In the fast-paced digital era, online tools have revolutionized the way we handle multimedia content. From converting videos to compressing large files, and even designing elements for your website, there's a tool available for every task. Whether you're a content creator, a developer, or a business owner, having the right tools at your fingertips is essential for efficiency and creativity. In this blog, we’ll explore the most powerful online tools like Video to Audio Converter Online, Video Compressor Online Free, Postman Online Tool, Eazystudio, and Favicon Generator Online—each playing a unique role in optimizing your digital workflow.
Video to Audio Converter Online – Extract Sound in Seconds
Ever wanted just the audio from a video? Maybe you’re looking to pull music, dialogue, or sound effects for a project. That’s where a Video to Audio Converter Online comes in handy. These tools let you convert video files (MP4, AVI, MOV, etc.) into MP3 or WAV audio files in just a few clicks. No software installation required.
Using a Video to Audio Converter Online is ideal for:
Podcast creators pulling sound from interviews.
Music producers isolating tracks for remixing.
Students or professionals transcribing lectures or meetings.
The beauty lies in its simplicity—upload the video, choose your audio format, and download. It’s as straightforward as that
2. Video Compressor Online Free – Reduce File Size Without Losing Quality
Large video files are a hassle to share or upload. Whether you're sending via email, uploading to a website, or storing in the cloud, a bulky file can be a roadblock. This is where a Video Compressor Online Free service shines.
Key benefits of using a Video Compressor Online Free:
Shrink video size while maintaining quality.
Fast, browser-based compression with no downloads.
Compatible with all major formats (MP4, AVI, MKV, etc.).
If you're managing social media content, YouTube uploads, or email campaigns, compressing videos ensures faster load times and better performance—essential for keeping your audience engaged.
3. Postman Online Tool – Streamline Your API Development
Developers around the world swear by Postman, and the Postman Online Tool brings that power to the cloud. This tool is essential for testing APIs, monitoring responses, and managing endpoints efficiently—all without leaving your browser.
Features of Postman Online Tool include:
Send GET, POST, PUT, DELETE requests with real-time response visualization.
Organize your API collections for collaborative development.
Automate testing and environment management.
Whether you're debugging or building a new application,Postman Online Tool provides a robust platform that simplifies complex API workflows, making it a must-have in every developer's toolkit.
4. Eazystudio – Your Creative Powerhouse
When it comes to content creation and design, Eazystudio is a versatile solution for both beginners and professionals. From editing videos and photos to crafting promotional content, Eazystudio makes it incredibly easy to create high-quality digital assets.
Highlights of Eazystudio:
User-friendly interface for designing graphics, videos, and presentations.
Pre-built templates for social media, websites, and advertising.
Cloud-based platform with drag-and-drop functionality.
Eazystudio is perfect for marketers, influencers, and businesses looking to stand out online. You don't need a background in graphic design—just an idea and a few clicks.
5. Favicon Generator Online – Make Your Website Look Professional
A small icon can make a big difference. The Favicon Generator Online helps you create favicons—the tiny icons that appear next to your site title in a browser tab. They enhance your website’s branding and improve user recognition.
With a Favicon Generator Online, you can:
Convert images (JPG, PNG, SVG) into favicon.ico files.
Generate multiple favicon sizes for different platforms and devices.
Instantly preview how your favicon will look in a browser tab or bookmark list.
For web developers and designers, using a Favicon Generator Online is an easy yet impactful way to polish a website and improve brand presence.
Why These Tools Matter in 2025
The future is online. As remote work, digital content creation, and cloud computing continue to rise, browser-based tools will become even more essential. Whether it's a Video to Audio Converter Online that simplifies sound editing, a Video Compressor Online Freefor seamless sharing, or a robust Postman Online Tool for development, these platforms boost productivity while cutting down on time and costs.
Meanwhile, platforms like Eazystudio empower anyone to become a designer, and tools like Favicon Generator Online ensure your brand always makes a professional first impression.
Conclusion
The right tools can elevate your workflow, save you time, and improve the quality of your digital output. Whether you're managing videos, developing APIs, or enhancing your website’s design, tools like Video to Audio Converter Online, Video Compressor Online Free, Postman Online Tool, Eazystudio, and Favicon Generator Online are indispensable allies in your digital toolbox.
So why wait? Start exploring these tools today and take your digital productivity to the next level
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niotechone ¡ 16 days ago
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Cloud Computing: Definition, Benefits, Types, and Real-World Applications
In the fast-changing digital world, companies require software that matches their specific ways of working, aims and what their customers require. That’s when you need custom software development services. Custom software is made just for your organization, so it is more flexible, scalable and efficient than generic software.
What does Custom Software Development mean?
Custom software development means making, deploying and maintaining software that is tailored to a specific user, company or task. It designs custom Software Development Services: Solutions Made Just for Your Business to meet specific business needs, which off-the-shelf software usually cannot do.
The main advantages of custom software development are listed below.
1. Personalized Fit
Custom software is built to address the specific needs of your business. Everything is designed to fit your workflow, whether you need it for customers, internal tasks or industry-specific functions.
2. Scalability
When your business expands, your software can also expand. You can add more features, users and integrations as needed without being bound by strict licensing rules.
3. Increased Efficiency
Use tools that are designed to work well with your processes. Custom software usually automates tasks, cuts down on repetition and helps people work more efficiently.
4. Better Integration
Many companies rely on different tools and platforms. You can have custom software made to work smoothly with your CRMs, ERPs and third-party APIs.
5. Improved Security
You can set up security measures more effectively in a custom solution. It is particularly important for industries that handle confidential information, such as finance, healthcare or legal services.
Types of Custom Software Solutions That Are Popular
CRM Systems
Inventory and Order Management
Custom-made ERP Solutions
Mobile and Web Apps
eCommerce Platforms
AI and Data Analytics Tools
SaaS Products
The Process of Custom Development
Requirement Analysis
Being aware of your business goals, what users require and the difficulties you face in running the business.
Design & Architecture
Designing a software architecture that can grow, is safe and fits your requirements.
Development & Testing
Writing code that is easy to maintain and testing for errors, speed and compatibility.
Deployment and Support
Making the software available and offering support and updates over time.
What Makes Niotechone a Good Choice?
Our team at Niotechone focuses on providing custom software that helps businesses grow. Our team of experts works with you throughout the process, from the initial idea to the final deployment, to make sure the product is what you require.
Successful experience in various industries
Agile development is the process used.
Support after the launch and options for scaling
Affordable rates and different ways to work together
Final Thoughts
Creating custom software is not only about making an app; it’s about building a tool that helps your business grow. A customized solution can give you the advantage you require in the busy digital market, no matter if you are a startup or an enterprise.
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shalu620 ¡ 3 months ago
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Why Python Will Thrive: Future Trends and Applications
Python has already made a significant impact in the tech world, and its trajectory for the future is even more promising. From its simplicity and versatility to its widespread use in cutting-edge technologies, Python is expected to continue thriving in the coming years. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.
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Let's explore why Python will remain at the forefront of software development and what trends and applications will contribute to its ongoing dominance.
1. Artificial Intelligence and Machine Learning
Python is already the go-to language for AI and machine learning, and its role in these fields is set to expand further. With powerful libraries such as TensorFlow, PyTorch, and Scikit-learn, Python simplifies the development of machine learning models and artificial intelligence applications. As more industries integrate AI for automation, personalization, and predictive analytics, Python will remain a core language for developing intelligent systems.
2. Data Science and Big Data
Data science is one of the most significant areas where Python has excelled. Libraries like Pandas, NumPy, and Matplotlib make data manipulation and visualization simple and efficient. As companies and organizations continue to generate and analyze vast amounts of data, Python’s ability to process, clean, and visualize big data will only become more critical. Additionally, Python’s compatibility with big data platforms like Hadoop and Apache Spark ensures that it will remain a major player in data-driven decision-making.
3. Web Development
Python’s role in web development is growing thanks to frameworks like Django and Flask, which provide robust, scalable, and secure solutions for building web applications. With the increasing demand for interactive websites and APIs, Python is well-positioned to continue serving as a top language for backend development. Its integration with cloud computing platforms will also fuel its growth in building modern web applications that scale efficiently.
4. Automation and Scripting
Automation is another area where Python excels. Developers use Python to automate tasks ranging from system administration to testing and deployment. With the rise of DevOps practices and the growing demand for workflow automation, Python’s role in streamlining repetitive processes will continue to grow. Businesses across industries will rely on Python to boost productivity, reduce errors, and optimize performance. With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.
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5. Cybersecurity and Ethical Hacking
With cyber threats becoming increasingly sophisticated, cybersecurity is a critical concern for businesses worldwide. Python is widely used for penetration testing, vulnerability scanning, and threat detection due to its simplicity and effectiveness. Libraries like Scapy and PyCrypto make Python an excellent choice for ethical hacking and security professionals. As the need for robust cybersecurity measures increases, Python’s role in safeguarding digital assets will continue to thrive.
6. Internet of Things (IoT)
Python’s compatibility with microcontrollers and embedded systems makes it a strong contender in the growing field of IoT. Frameworks like MicroPython and CircuitPython enable developers to build IoT applications efficiently, whether for home automation, smart cities, or industrial systems. As the number of connected devices continues to rise, Python will remain a dominant language for creating scalable and reliable IoT solutions.
7. Cloud Computing and Serverless Architectures
The rise of cloud computing and serverless architectures has created new opportunities for Python. Cloud platforms like AWS, Google Cloud, and Microsoft Azure all support Python, allowing developers to build scalable and cost-efficient applications. With its flexibility and integration capabilities, Python is perfectly suited for developing cloud-based applications, serverless functions, and microservices.
8. Gaming and Virtual Reality
Python has long been used in game development, with libraries such as Pygame offering simple tools to create 2D games. However, as gaming and virtual reality (VR) technologies evolve, Python’s role in developing immersive experiences will grow. The language’s ease of use and integration with game engines will make it a popular choice for building gaming platforms, VR applications, and simulations.
9. Expanding Job Market
As Python’s applications continue to grow, so does the demand for Python developers. From startups to tech giants like Google, Facebook, and Amazon, companies across industries are seeking professionals who are proficient in Python. The increasing adoption of Python in various fields, including data science, AI, cybersecurity, and cloud computing, ensures a thriving job market for Python developers in the future.
10. Constant Evolution and Community Support
Python’s open-source nature means that it’s constantly evolving with new libraries, frameworks, and features. Its vibrant community of developers contributes to its growth and ensures that Python stays relevant to emerging trends and technologies. Whether it’s a new tool for AI or a breakthrough in web development, Python’s community is always working to improve the language and make it more efficient for developers.
Conclusion
Python’s future is bright, with its presence continuing to grow in AI, data science, automation, web development, and beyond. As industries become increasingly data-driven, automated, and connected, Python’s simplicity, versatility, and strong community support make it an ideal choice for developers. Whether you are a beginner looking to start your coding journey or a seasoned professional exploring new career opportunities, learning Python offers long-term benefits in a rapidly evolving tech landscape.
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dijacrypt ¡ 4 months ago
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Revolutionizing DeFi Development: How STON.fi API & SDK Simplify Token Swaps
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The decentralized finance (DeFi) landscape is evolving rapidly, and developers are constantly seeking efficient ways to integrate token swap functionalities into their platforms. However, building seamless and optimized swap mechanisms from scratch can be complex, time-consuming, and risky.
This is where STON.fi API & SDK come into play. They provide developers with a ready-to-use, optimized solution that simplifies the process of enabling fast, secure, and cost-effective swaps.
In this article, we’ll take an in-depth look at why developers need efficient swap solutions, how the STON.fi API & SDK work, and how they can be integrated into various DeFi applications.
Why Developers Need a Robust Swap Integration
One of the core functions of any DeFi application is token swapping—the ability to exchange one cryptocurrency for another instantly and at the best possible rate.
But integrating swaps manually is not a straightforward task. Developers face several challenges:
Complex Smart Contract Logic – Handling liquidity pools, slippage, and price calculations requires expertise and rigorous testing.
Security Vulnerabilities – Improperly coded swaps can expose user funds to attacks.
Performance Issues – Slow execution or high gas fees can frustrate users and hurt adoption.
A poorly integrated swap feature can turn users away from a DeFi application, affecting engagement and liquidity. That’s why an efficient, battle-tested API and SDK can make a significant difference.
STON.fi API & SDK: What Makes Them a Game-Changer?
STON.fi has built an optimized API and SDK designed to handle the complexities of token swaps while giving developers an easy-to-use toolkit. Here’s why they stand out:
1. Seamless Swap Execution
Instead of manually routing transactions through liquidity pools, the STON.fi API automates the process, ensuring users always get the best swap rates.
2. Developer-Friendly SDK
For those who prefer working with structured development tools, the STON.fi SDK comes with pre-built functions that remove the need for extensive custom coding. Whether you’re integrating swaps into a mobile wallet, trading platform, or decentralized app, the SDK simplifies the process.
3. High-Speed Performance & Low Costs
STON.fi’s infrastructure is optimized for fast transaction execution, reducing delays and minimizing slippage. Users benefit from lower costs, while developers get a plug-and-play solution that ensures a smooth experience.
4. Secure & Scalable
Security is a major concern in DeFi, and STON.fi’s API is built with strong security measures, protecting transactions from vulnerabilities and ensuring reliability even under heavy traffic.
Practical Use Cases for Developers
1. Building Decentralized Exchanges (DEXs)
STON.fi API enables developers to integrate swap functionalities directly into their DEX platforms without having to build custom liquidity management solutions.
2. Enhancing Web3 Wallets
Crypto wallets can integrate STON.fi’s swap functionality, allowing users to exchange tokens without leaving the wallet interface.
3. Automating Trading Strategies
The API can be used to build automated trading bots that execute swaps based on real-time market conditions, improving efficiency for traders.
4. Scaling DeFi Platforms
For DeFi applications handling high transaction volumes, STON.fi API ensures fast and cost-effective execution, improving user retention.
Why Developers Should Consider STON.fi API & SDK
For developers aiming to create efficient, user-friendly, and scalable DeFi applications, STON.fi offers a robust solution that eliminates the complexities of manual integrations.
Saves Development Time – Reduces the need for custom swap coding.
Improves Security – Pre-tested smart contracts minimize vulnerabilities.
Enhances User Experience – Faster swaps create a smoother, more reliable platform.
Optimizes Performance – Low latency and cost-efficient execution ensure better outcomes.
Whether you’re working on a new DeFi project or improving an existing platform, STON.fi’s API & SDK provide a solid foundation to enhance functionality and scalability.
By leveraging STON.fi’s tools, developers can focus on building innovative features, rather than getting caught up in the technical challenges of token swaps.
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fireflink1 ¡ 1 year ago
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Does automation testing require coding knowledge?
Traditional best automation testing tool for web applications necessitates coding ability, albeit the amount of coding varies based on the framework and programming languages used to develop automated test scripts. However, there are also low-code and no-code automation testing solutions that need little or no coding skills, making it easier for non-technical testers to build and manage automated tests.
It helps you establish a good profile as an automation tester and expands your understanding of automation testing. You may also learn about the best online automation testing courses and certifications. Automation testers are known as "Full-stack QA engineers" because they test all elements of product quality, such as functionality, performance, security, and so on, using a variety of technologies and test approaches for the application under test.Automation testers must be multiskilled, with a combination of domain knowledge, technological experience, and testing abilities that enable them to provide high-quality software rapidly. Testers must keep current with test automation developments in order to become top automation testers.
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yethiconsulting ¡ 4 days ago
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API Test Automation: Pros, Cons, and Best Practices
API test automation plays a crucial role in validating the functionality, reliability, and performance of backend services. As APIs form the foundation of modern applications, automating their testing offers clear advantages—but it also comes with its challenges.
Pros:
Speed and Efficiency: Automated API tests run faster than manual tests, enabling quicker feedback during development.
Early Bug Detection: Issues can be caught early in the development cycle before reaching the UI layer.
Cost-Effective: Reduces the need for extensive manual testing, especially in regression and load testing scenarios.
Easy Integration: Most API testing tools integrate well with CI/CD pipelines, promoting DevOps practices.
Cons:
Steep Learning Curve: Requires knowledge of API Automation Testing Tools, scripting, and API structures.
Maintenance Overhead: Frequent changes in API endpoints may require constant script updates.
Limited UI Coverage: API automation doesn’t test front-end behavior or UX.
Best Practices:
Use reliable tools like Postman, Rest Assured, or Karate.
Maintain clear and reusable test cases.
Automate critical test scenarios first.
Implement data-driven testing for better coverage.
Continuously review and update tests to match evolving APIs.
API test automation, when done right, significantly enhances product quality and team productivity.
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itcareerblogs ¡ 6 months ago
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Top 10 In- Demand Tech Jobs in 2025
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Technology is growing faster than ever, and so is the need for skilled professionals in the field. From artificial intelligence to cloud computing, businesses are looking for experts who can keep up with the latest advancements. These tech jobs not only pay well but also offer great career growth and exciting challenges.
In this blog, we’ll look at the top 10 tech jobs that are in high demand today. Whether you’re starting your career or thinking of learning new skills, these jobs can help you plan a bright future in the tech world.
1. AI and Machine Learning Specialists
Artificial Intelligence (AI)  and Machine Learning are changing the game by helping machines learn and improve on their own without needing step-by-step instructions. They’re being used in many areas, like chatbots, spotting fraud, and predicting trends.
Key Skills: Python, TensorFlow, PyTorch, data analysis, deep learning, and natural language processing (NLP).
Industries Hiring: Healthcare, finance, retail, and manufacturing.
Career Tip: Keep up with AI and machine learning by working on projects and getting an AI certification. Joining AI hackathons helps you learn and meet others in the field.
2. Data Scientists
Data scientists work with large sets of data to find patterns, trends, and useful insights that help businesses make smart decisions. They play a key role in everything from personalized marketing to predicting health outcomes.
Key Skills: Data visualization, statistical analysis, R, Python, SQL, and data mining.
Industries Hiring: E-commerce, telecommunications, and pharmaceuticals.
Career Tip: Work with real-world data and build a strong portfolio to showcase your skills. Earning certifications in data science tools can help you stand out.
3. Cloud Computing Engineers: These professionals create and manage cloud systems that allow businesses to store data and run apps without needing physical servers, making operations more efficient.
Key Skills: AWS, Azure, Google Cloud Platform (GCP), DevOps, and containerization (Docker, Kubernetes).
Industries Hiring: IT services, startups, and enterprises undergoing digital transformation.
Career Tip: Get certified in cloud platforms like AWS (e.g., AWS Certified Solutions Architect).
4. Cybersecurity Experts
Cybersecurity professionals protect companies from data breaches, malware, and other online threats. As remote work grows, keeping digital information safe is more crucial than ever.
Key Skills: Ethical hacking, penetration testing, risk management, and cybersecurity tools.
Industries Hiring: Banking, IT, and government agencies.
Career Tip: Stay updated on new cybersecurity threats and trends. Certifications like CEH (Certified Ethical Hacker) or CISSP (Certified Information Systems Security Professional) can help you advance in your career.
5. Full-Stack Developers
Full-stack developers are skilled programmers who can work on both the front-end (what users see) and the back-end (server and database) of web applications.
Key Skills: JavaScript, React, Node.js, HTML/CSS, and APIs.
Industries Hiring: Tech startups, e-commerce, and digital media.
Career Tip: Create a strong GitHub profile with projects that highlight your full-stack skills. Learn popular frameworks like React Native to expand into mobile app development.
6. DevOps Engineers
DevOps engineers help make software faster and more reliable by connecting development and operations teams. They streamline the process for quicker deployments.
Key Skills: CI/CD pipelines, automation tools, scripting, and system administration.
Industries Hiring: SaaS companies, cloud service providers, and enterprise IT.
Career Tip: Earn key tools like Jenkins, Ansible, and Kubernetes, and develop scripting skills in languages like Bash or Python. Earning a DevOps certification is a plus and can enhance your expertise in the field.
7. Blockchain Developers
They build secure, transparent, and unchangeable systems. Blockchain is not just for cryptocurrencies; it’s also used in tracking supply chains, managing healthcare records, and even in voting systems.
Key Skills: Solidity, Ethereum, smart contracts, cryptography, and DApp development.
Industries Hiring: Fintech, logistics, and healthcare.
Career Tip: Create and share your own blockchain projects to show your skills. Joining blockchain communities can help you learn more and connect with others in the field.
8. Robotics Engineers
Robotics engineers design, build, and program robots to do tasks faster or safer than humans. Their work is especially important in industries like manufacturing and healthcare.
Key Skills: Programming (C++, Python), robotics process automation (RPA), and mechanical engineering.
Industries Hiring: Automotive, healthcare, and logistics.
Career Tip: Stay updated on new trends like self-driving cars and AI in robotics.
9. Internet of Things (IoT) Specialists
IoT specialists work on systems that connect devices to the internet, allowing them to communicate and be controlled easily. This is crucial for creating smart cities, homes, and industries.
Key Skills: Embedded systems, wireless communication protocols, data analytics, and IoT platforms.
Industries Hiring: Consumer electronics, automotive, and smart city projects.
Career Tip: Create IoT prototypes and learn to use platforms like AWS IoT or Microsoft Azure IoT. Stay updated on 5G technology and edge computing trends.
10. Product Managers
Product managers oversee the development of products, from idea to launch, making sure they are both technically possible and meet market demands. They connect technical teams with business stakeholders.
Key Skills: Agile methodologies, market research, UX design, and project management.
Industries Hiring: Software development, e-commerce, and SaaS companies.
Career Tip: Work on improving your communication and leadership skills. Getting certifications like PMP (Project Management Professional) or CSPO (Certified Scrum Product Owner) can help you advance.
Importance of Upskilling in the Tech Industry
Stay Up-to-Date: Technology changes fast, and learning new skills helps you keep up with the latest trends and tools.
Grow in Your Career: By learning new skills, you open doors to better job opportunities and promotions.
Earn a Higher Salary: The more skills you have, the more valuable you are to employers, which can lead to higher-paying jobs.
Feel More Confident: Learning new things makes you feel more prepared and ready to take on tougher tasks.
Adapt to Changes: Technology keeps evolving, and upskilling helps you stay flexible and ready for any new changes in the industry.
Top Companies Hiring for These Roles
Global Tech Giants: Google, Microsoft, Amazon, and IBM.
Startups: Fintech, health tech, and AI-based startups are often at the forefront of innovation.
Consulting Firms: Companies like Accenture, Deloitte, and PwC increasingly seek tech talent.
In conclusion,  the tech world is constantly changing, and staying updated is key to having a successful career. In 2025, jobs in fields like AI, cybersecurity, data science, and software development will be in high demand. By learning the right skills and keeping up with new trends, you can prepare yourself for these exciting roles. Whether you're just starting or looking to improve your skills, the tech industry offers many opportunities for growth and success.
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teqful ¡ 6 months ago
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How-To IT
Topic: Core areas of IT
1. Hardware
• Computers (Desktops, Laptops, Workstations)
• Servers and Data Centers
• Networking Devices (Routers, Switches, Modems)
• Storage Devices (HDDs, SSDs, NAS)
• Peripheral Devices (Printers, Scanners, Monitors)
2. Software
• Operating Systems (Windows, Linux, macOS)
• Application Software (Office Suites, ERP, CRM)
• Development Software (IDEs, Code Libraries, APIs)
• Middleware (Integration Tools)
• Security Software (Antivirus, Firewalls, SIEM)
3. Networking and Telecommunications
• LAN/WAN Infrastructure
• Wireless Networking (Wi-Fi, 5G)
• VPNs (Virtual Private Networks)
• Communication Systems (VoIP, Email Servers)
• Internet Services
4. Data Management
• Databases (SQL, NoSQL)
• Data Warehousing
• Big Data Technologies (Hadoop, Spark)
• Backup and Recovery Systems
• Data Integration Tools
5. Cybersecurity
• Network Security
• Endpoint Protection
• Identity and Access Management (IAM)
• Threat Detection and Incident Response
• Encryption and Data Privacy
6. Software Development
• Front-End Development (UI/UX Design)
• Back-End Development
• DevOps and CI/CD Pipelines
• Mobile App Development
• Cloud-Native Development
7. Cloud Computing
• Infrastructure as a Service (IaaS)
• Platform as a Service (PaaS)
• Software as a Service (SaaS)
• Serverless Computing
• Cloud Storage and Management
8. IT Support and Services
• Help Desk Support
• IT Service Management (ITSM)
• System Administration
• Hardware and Software Troubleshooting
• End-User Training
9. Artificial Intelligence and Machine Learning
• AI Algorithms and Frameworks
• Natural Language Processing (NLP)
• Computer Vision
• Robotics
• Predictive Analytics
10. Business Intelligence and Analytics
• Reporting Tools (Tableau, Power BI)
• Data Visualization
• Business Analytics Platforms
• Predictive Modeling
11. Internet of Things (IoT)
• IoT Devices and Sensors
• IoT Platforms
• Edge Computing
• Smart Systems (Homes, Cities, Vehicles)
12. Enterprise Systems
• Enterprise Resource Planning (ERP)
• Customer Relationship Management (CRM)
• Human Resource Management Systems (HRMS)
• Supply Chain Management Systems
13. IT Governance and Compliance
• ITIL (Information Technology Infrastructure Library)
• COBIT (Control Objectives for Information Technologies)
• ISO/IEC Standards
• Regulatory Compliance (GDPR, HIPAA, SOX)
14. Emerging Technologies
• Blockchain
• Quantum Computing
• Augmented Reality (AR) and Virtual Reality (VR)
• 3D Printing
• Digital Twins
15. IT Project Management
• Agile, Scrum, and Kanban
• Waterfall Methodology
• Resource Allocation
• Risk Management
16. IT Infrastructure
• Data Centers
• Virtualization (VMware, Hyper-V)
• Disaster Recovery Planning
• Load Balancing
17. IT Education and Certifications
• Vendor Certifications (Microsoft, Cisco, AWS)
• Training and Development Programs
• Online Learning Platforms
18. IT Operations and Monitoring
• Performance Monitoring (APM, Network Monitoring)
• IT Asset Management
• Event and Incident Management
19. Software Testing
• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.
• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.
• Functional Testing: Validating that the software performs its intended functions.
• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.
• Unit Testing: Testing individual components or units of code for correctness.
• Integration Testing: Ensuring that different modules or systems work together as expected.
• System Testing: Verifying the complete software system’s behavior against requirements.
• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).
• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.
• Performance Testing: Testing software performance under various conditions (load, stress, scalability).
• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.
• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.
• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.
• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).
19. VoIP (Voice over IP)
VoIP Protocols & Standards
• SIP (Session Initiation Protocol)
• H.323
• RTP (Real-Time Transport Protocol)
• MGCP (Media Gateway Control Protocol)
VoIP Hardware
• IP Phones (Desk Phones, Mobile Clients)
• VoIP Gateways
• Analog Telephone Adapters (ATAs)
• VoIP Servers
• Network Switches/ Routers for VoIP
VoIP Software
• Softphones (e.g., Zoiper, X-Lite)
• PBX (Private Branch Exchange) Systems
• VoIP Management Software
• Call Center Solutions (e.g., Asterisk, 3CX)
VoIP Network Infrastructure
• Quality of Service (QoS) Configuration
• VPNs (Virtual Private Networks) for VoIP
• VoIP Traffic Shaping & Bandwidth Management
• Firewall and Security Configurations for VoIP
• Network Monitoring & Optimization Tools
VoIP Security
• Encryption (SRTP, TLS)
• Authentication and Authorization
• Firewall & Intrusion Detection Systems
• VoIP Fraud DetectionVoIP Providers
• Hosted VoIP Services (e.g., RingCentral, Vonage)
• SIP Trunking Providers
• PBX Hosting & Managed Services
VoIP Quality and Testing
• Call Quality Monitoring
• Latency, Jitter, and Packet Loss Testing
• VoIP Performance Metrics and Reporting Tools
• User Acceptance Testing (UAT) for VoIP Systems
Integration with Other Systems
• CRM Integration (e.g., Salesforce with VoIP)
• Unified Communications (UC) Solutions
• Contact Center Integration
• Email, Chat, and Video Communication Integration
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createncodewebtechnologies ¡ 6 months ago
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B2B ecommerce website development in Indore
B2B eCommerce website development in Indore presents a lucrative opportunity for businesses looking to establish a strong online presence. With its rich talent pool, cost-effective solutions, and innovative approach, Indore has become a preferred destination for digital transformation projects. Online transactions between companies, as opposed to between companies and customers, are referred to as business-to-business (B2B) eCommerce. Strong B2B eCommerce solutions are essential given the growing dependence on digital platforms for supplier relationships, inventory control, and procurement.
The Significance of B2B eCommerce
Streamlined Operations: Efficiency is increased by automating procedures including order placing, tracking, and payment. Global Reach: Companies are able to grow their clientele beyond national borders. Cost Efficiency: By reducing manual intervention, digital systems lower operating expenses. Improved Customer Experience: Self-service portals, bulk ordering, and customized pricing are examples of features that increase consumer pleasure.
Why Indore Is a Center for the Development of B2B eCommerce
Indore has established itself as one of the fastest-growing IT cities in India. Businesses might think about Indore for the creation of B2B eCommerce websites for the following main reasons: Skilled Talent Pool: Indore is home to a sizable population of web developers, designers, and IT specialists that are knowledgeable about cutting-edge technologies. Cost-Effective Solutions: Development services in Indore are exceptional value for money and are less expensive than in major cities. Successful Startup Ecosystem: The dynamic entrepreneurial climate in Indore encourages originality and inventiveness in web development. Robust Infrastructure: The city's cutting-edge IT infrastructure facilitates timely delivery and smooth project execution. Client Proximity: Because of its advantageous location, companies in Central India can work with developers situated in Indore with ease.
How to Create a Business-to-Business eCommerce Website in Indore ?
Building a strong B2B eCommerce platform requires careful preparation and implementation. Here’s a step-by-step guide:
1. Analysis of Requirements
Determine the target market and business goals.
Specify the essential features and integration requirements.
2. Selecting the Appropriate Platform Depending on your needs, choose bespoke development or platforms like Magento or Shopify Plus. 3. Design of UI/UX
Create prototypes and wireframes for approval.
Concentrate on producing a design that is neat, expert, and user-focused.
4. Growth and Assimilation
To create the website, write clear, optimal code.
Increase functionality by integrating third-party tools and APIs.
5. Quality Assurance and Testing
To get rid of bugs, do thorough testing.
Make sure it works on all devices and browsers.
6. Implementation and Upkeep
Use secure servers to launch the website.
Assure seamless operations by providing regular updates and support.
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