Data Science Tutorials

Learn about FastHTML, a Python library for creating dynamic web pages. Includes real-world application examples.

Learn how to set up AutoGPT, create custom AI agents with a low-code interface, and extend functionality with Python blocks. This hands-on tutorial covers installation, UI basics, and agent creation.

Learn how Julius AI helps you analyze Excel, CSV, and PDF data using natural language. Get visual insights and build reports easily, no coding needed.

Explore MongoDB aggregation pipelines using PyMongo. Understand data flow, stages like $match, $project, $group, $lookup, and advanced patterns.

This guide explains how to use the MongoDB find() method to query, filter, sort, and paginate data with real-world examples. Perfect for beginners and those transitioning from SQL.

Learn how to use and optimize the performance of the updateMany() operator in MongoDB to update multiple documents in a single operation.

Discover how to use the ROUNDUP() function in Excel to consistently round numbers away from zero. Learn the syntax, see examples, and compare ROUNDUP() with other rounding methods.

Learn what causes circular imports in Python, how they break your code, and explore proven strategies to detect, fix, and prevent them in real projects.

Use this method to make better predictions from real-world data. Learn how to minimize errors and find the most reliable trend line.

Learn how to set up and run Mistral's Magistral Small model using Ollama and vLLM, and build a demo project that debugs faulty logic.

Learn how to set up Apache Kafka with Docker using Compose. Discover best practices, common pitfalls, and tips for development and testing environment

Understand how the t-distribution helps when sample sizes are small or population variance is unknown. Compare it to the normal and Z-distributions to learn when each is appropriate.