Data Science Tutorials

Learn how to use Excel Solver to solve optimization problems with multiple constraints and decision variables. This guide covers setup, solving, and interpreting results with a practical example.

Master Python's map() function with practical examples. Learn syntax, lazy evaluation, and when to use map() vs. list comprehensions for memory-efficient code.

Learn how to fine-tune the Ministral 3 vision-language model for X-ray image classification using LoRA, Hugging Face tools, custom prompts, and TRL.

Learn how Python’s REPL lets you run code interactively for testing, debugging, and learning. Discover essential commands, customization options, and advanced alternatives.

Learn how to calculate space complexity using asymptotic notation, how memory components like recursion, data structures, and auxiliary space add up, and how to reduce space through in-place techniques.

Speed up your code with Python async programming. A step-by-step guide to asyncio, concurrency, efficient HTTP requests, and database integration.

Learn how to freeze multiple rows in Excel with step-by-step instructions, tips, and troubleshooting to keep your headers visible while scrolling.

Build a wiki agent with Claude Opus 4.5 and Claude Code to analyze repos, auto-generate multi-file GitHub wiki docs, and publish them to your repository.

Learn how to use Mistral Large 3 and Streamlit to turn charts and PDFs into structured tables, insights, and multilingual summaries.

Learn how to build, deploy, and optimize AI chatbots using Botpress. This hands-on tutorial covers everything from setup to advanced workflows, integrations, and real-world applications.

A practical guide to implementing LoRA via Tinker AI to train Qwen3-8B on Chain-of-Thought (CoT) financial data, optimizing for generalization.

Master dashboard design principles and best practices with this step-by-step guide. Learn to select metrics, choose the right charts, and create data views for any audience.