Data Science Tutorials

Learn how to make your code modular, testable, and maintainable by understanding and implementing various Python dependency injection frameworks.

This guide covers four installation approaches, from the official Docker repository to manual package installation, plus essential post-installation configuration for enterprise deployments. You'll learn how to secure your Docker environment, troubleshoot common issues, and maintain a production-ready setup.

Learn what ChatGPT Agent is, how to use it, how it handles real-world tasks, and where it still falls short.

Learn how to run Mistral's Voxtral Mini 3B model with vLLM, set up an API, and build a Streamlit-based audio summarizer and Q&A app.

Learn to build full-stack web apps fast with the FARM stack (FastAPI, React, MongoDB). This beginner-friendly guide goes through setup, features, and deployment in one click.

Learn what Make is, how to use it to create AI agents that automate tasks, and how it compares to n8n.

Learn what Perplexity’s Comet browser is and how to use it through five practical examples you can try yourself.

Learn how to run Kimi K2 on a single A100 GPU with 250GB RAM using llama.cpp.

Easily separate text into columns or rows in Excel using the TEXTSPLIT() function.

Learn how to make the most of Grok 4 through seven practical examples you can try in the chat interface.

Learn how to seamlessly integrate Tableau with Excel to transform static spreadsheets into powerful, interactive dashboards. Boost insights, streamline analysis, and improve your data-driven decisions.

Explore PySpark’s groupBy method, which allows data professionals to perform aggregate functions on their data. This is a powerful way to quickly partition and summarize your big datasets, leveraging Spark’s powerful techniques.