Publications by azhar
Exploratory and Predictive Data Analysis: Turning Passive Data into Actionable Insights
It’s not so much the amount of information that we are swamped with, but how we are unable to control and interpret it. Though we collect and generate data at never before rates, a lot of it sits idle, waiting to be explored and utilized. In this blog, we will discuss how exploratory and predictive analyses enable the conversion of passive data i...
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Mastering Playwright for Modern Browser Automation
IntroductionThe tools developers and testers use to interact with the web are evolving. The journey has been revolutionary, from Selenium, first released in the early 2000s, to the contemporary frameworks that handle today’s dynamic and intricate web applications. In the middle of these advancements, Playwright has become a powerful browser autom...
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AngularJS vs. ReactJS vs. Node JS: Which is Right for your Website?
IntroductionJavaScript stands out as a clear winner in popular markup and scripting languages. If you don’t believe us, here’s the proof, Stack Overflow’s Annual Developer Survey tells us:Over 63% of 90,000+ respondents prefer working with JavaScript. Why is it so? Besides a readable (and HTML-friendly) syntax, flexibility, and versatility, i...
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The Beginner’s Guide to Mastering Full-Stack Development with MERN Stack
Are you familiar with the LAMP stack? For simplicity, it refers to Linux, Apache, MySQL, and PHP. It is an open-source stack of tools for creating websites and web applications. However, it gives birth to the more creative MERN stack that is suited best for developing scalable web and mobile applications.It has changed, due to the developments in t...
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Using Next.js with Headless CMS for Content-Driven Websites
In today’s fast-paced digital landscape, creating efficient, content-driven websites requires a flexible, powerful, and high-performance framework. Next.js website development paired with a headless CMS (Content Management System) offers the ideal solution for developers building scalable, SEO-optimized applications. By separating content managem...
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Unlocking the Power of Data: A Comprehensive Guide to Crafting Datasets for Large Language models
In the era of artificial intelligence (AI) and machine learning (ML), data has emerged as the lifeblood fueling groundbreaking advancements. In recent times, amidst this digital revolution, large language models (LLMs) have taken center stage, transforming the way we interact with and harness the power of language. However, the success of these mod...
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Why Data Lakehouses Are the Smarter Choice for Big Data Handling
Combining the flexibility of data lakes with the reliability and performance of data warehouses, data lakehouses have become a cost-efficient and scalable option for businesses. The latest survey by Dremio suggests that 70% of data professionals believe that data lakehouses will power over half of their analytics within three years, and for many, i...
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Integrating Robot Framework with Python: Scalability and Applications
It has been almost 2 months since a few of our developers tried using the Robot framework to make the automation process smoother and cleaner. They prefer choosing this framework because it’s easy to use and offers an extensive array of libraries. The capabilities it provided to our developers were insane, they were able to automate many of th...
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Mastering Gradient Checkpoints in PyTorch: A Comprehensive Guide
Gradient checkpointing has emerged as a pivotal technique in deep learning, especially for managing memory constraints while maintaining high model performance. In the rapidly evolving field of AI, out-of-memory (OOM) errors have long been a bottleneck for many projects. Gradient checkpointing, particularly in PyTorch, offers an effective solution ...
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Understanding Critical Value vs. P-Value in Hypothesis Testing
In the realm of statistical analysis, critical values and p-values serve as essential tools for hypothesis testing and decision making. These concepts, rooted in the work of statisticians like Ronald Fisher and the Neyman-Pearson approach, play a crucial role in determining statistical significance. Understanding the distinction between critical va...
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