Data Science Tutorials

Run LLMs locally (Windows, macOS, Linux) by leveraging these easy-to-use LLM frameworks: GPT4All, LM Studio, Jan, llama.cpp, llamafile, Ollama, and NextChat.

Explore Python's maximum integer value, including system limits and the sys.maxsize attribute.

Master the basics of extracting, transforming, and loading data with Apache Airflow.

Take the first steps to master in-database machine learning using Snowflake Snowpark.

Learn the fundamentals of reinforcement learning through the analogy of a cat learning to use a scratch post.

Enhance your data analysis skills by learning how to customize a Power BI matrix.

A comparison between two data orchestration tools and how they may be utilized to improve data workflow management.

A beginner-friendly, comprehensive tutorial on performing Monte Carlo Simulation in Microsoft Excel, along with examples, best practices, and advanced techniques.

Learn the ins and outs of managing Python environment variables with os and python-dotenv libraries.

Learn the fundamentals of implementing encapsulation in Python object-oriented programming.

Learn how to use the RELATED DAX function in Power BI to simplify data modeling and build insightful reports.

Enhance your data analysis skills and learn how to build and customize a waterfall chart in Tableau