Data Analytics – Lincoln AI Innovation

Generative AI Hype Check: Can It Really Transform SDLC?

Data Analytics1 day ago1View 0Likes 0Comments

Sponsored Content Is your team using generative AI to enhance code quality, expedite delivery, and reduce time spent per sprint? Or are you still in the experimentation and exploration phase? Wherever you are on this journey, you can’t deny the fact that Gen AI is increasingly changing our reality today. It’s…

API Development for Web Apps and Data Products

Data AnalyticsOctober 28, 20257Views 0Likes 0Comments

Image by Editor # Introduction Let me start with a confession: My first API was a disaster. I’d spent weeks coding what I thought was a “masterpiece” for a weather app, only to realize later that no one — including my future self — could figure out how to use it. The documentation…

The Hidden Curriculum of Data Science Interviews: What Companies Really Test

Data AnalyticsOctober 23, 20259Views 0Likes 0Comments

Image by Author # Introduction Everyone knows what comes up in data science interviews: SQL, Python, machine learning models, statistics, sometimes a system design or case study. If this comes up in the interviews, it’s what they test, right? Not quite. I mean, they sure test everything I listed, but they don’t test…

Creating a Text to SQL App with OpenAI + FastAPI + SQLite

Data AnalyticsOctober 18, 202511Views 0Likes 0Comments

Image by Author # Introduction Data has become an indispensable resource for any successful business, as it provides valuable insights for informed decision-making. Given the importance of data, many companies are building systems to store and analyze it. However, there are many times when it’s hard to acquire and analyze the necessary data,…

Building Pure Python Web Apps with Reflex

Data AnalyticsOctober 13, 202516Views 0Likes 0Comments

Image by Author When we talk about Python, we often think about using it to perform data analysis or build a machine learning model. It’s less common to discuss creating full web applications with Python outside of simple prototypes using libraries such as Streamlit or Taipy. However, a library called Reflex offers web application…

A Complete Guide to Seaborn

Data AnalyticsOctober 8, 202519Views 0Likes 0Comments

Image by Editor # Introduction Seaborn is a statistical visualization library for Python that sits on top of Matplotlib. It gives you clean defaults, tight integration with Pandas DataFrames, and high-level functions that reduce boilerplate. If you already know Matplotlib and want faster, more informative plots, this guide is for you. The focus…

Is ChatGPT Study Mode a Hidden Gem or a Gimmick?

Data AnalyticsOctober 3, 202519Views 0Likes 0Comments

Image by Editor # Introducing ChatGPT Study Mode Among the unending supply of AI-powered tools and features of late, ChatGPT Study Mode has captured the attention of students, educators, and lifelong learners. It promises to revolutionize study habits with personalized learning, interactive exercises, and on-demand explanations. Yet, as with any new technology, the…

Building Machine Learning Application with Django

Data AnalyticsSeptember 28, 202519Views 0Likes 0Comments

Image by Author | ChatGPT Machine learning has powerful applications across various domains, but effectively deploying machine learning models in real-world scenarios often necessitates the use of a web framework. Django, a high-level web framework for Python, is particularly popular for creating scalable and secure web applications. When paired with libraries like scikit-learn,…

7 Python Libraries Every Analytics Engineer Should Know

Data AnalyticsSeptember 23, 202525Views 0Likes 0Comments

Image by Author | Ideogram # Introduction If you're building data pipelines, creating reliable transformations, or ensuring your stakeholders get accurate insights, you know the challenge of bridging the gap between raw data and useful insights. Analytics engineers sit at the intersection of data engineering and data analysis. While data engineers focus on…

A Gentle Introduction to vLLM for Serving

Data AnalyticsSeptember 18, 202525Views 0Likes 0Comments

Image by Editor | ChatGPT/font> As large language models (LLMs) become increasingly central to applications such as chatbots, coding assistants, and content generation, the challenge of deploying them continues to grow. Traditional inference systems struggle with memory limits, long input sequences, and latency issues. This is where vLLM comes in. In this article, we’ll…