News

Apple Intelligence: All you need to Know about Apple’s AI Model...

AI Observer
News

Google Challenges Apple on Search Trends

AI Observer
News

Apple Developing Chips for AR, AI

AI Observer
Anthropic

I regret buying RGB for my gaming computer

AI Observer
Anthropic

This $1,200 PTZ is a glorified Webcam, but gave my creator...

AI Observer
News

How creators are using generative AI in podcasts, videos and newsletters...

AI Observer
News

Listen to the “world’s first” song created by a quantum computing...

AI Observer
News

Nvidia accused by critics of delaying RTX5060 reviews due to withholding...

AI Observer
News

ChatGPT Deep research can now connect to GitHub.

AI Observer
News

OpenAI to spend $3 billion on AI coding software Windsurf, as...

AI Observer
AI Hardware

OpenAI and Microsoft tell Senate that ‘no single country can win...

AI Observer

Featured

News

Building High-Performance Financial Analytics Pipelines with Polars: Lazy Evaluation, Advanced Expressions,...

AI Observer
News

Building High-Performance Financial Analytics Pipelines with Polars: Lazy Evaluation, Advanced Expressions,...

AI Observer
News

Hugging Face partners with Groq for ultra-fast AI model inference

AI Observer
News

Ren Zhengfei: China’s AI future and Huawei’s long game

AI Observer
AI Observer

Building High-Performance Financial Analytics Pipelines with Polars: Lazy Evaluation, Advanced Expressions,...

In this tutorial, we delve into building an advanced data analytics pipeline using , a lightning-fast DataFrame library designed for optimal performance and scalability. Our goal is to demonstrate how we can utilize Polars’ lazy evaluation, complex expressions, window functions, and SQL interface to process large-scale financial datasets efficiently....