Data Science Tutorials

Build a chat app that can understand text, images, audio, and documents, as well as execute Python code. Truly a multimodal application closer to AGI.

Learn about Python generators to optimize memory usage and simplify workflows. Build efficient, real-world data pipelines and enhance your code’s performance.

Learn about the policy gradient theorem in RL and how to derive it mathematically. Implement an algorithm based on policy gradients to solve a simple RL environment in Gymnasium.

This practical guide to AWS Lightsail walks you through setting up, managing, and scaling cloud instances, making cloud hosting simple and accessible.

Learn about Python string interpolation, its purpose, and when to use it. Includes practical examples and best practices.

Python inheritance allows you to build new classes by reusing and extending the functionality of existing ones. Learn how to design parent-child class relationships, implement inheritance patterns, and apply techniques such as method overriding.

Merge two columns in Excel using the ampersand & operator or the CONCAT() function with a custom delimiter. Or use TEXTJOIN(), which lets you ignore blank cells.

Discover how to extract numbers from Excel strings using formulas. Master functions like RIGHT(), LEFT(), and TEXTJOIN() to target numeric data before, after, or anywhere in your text.

Learn the fundamentals of Delta Lake, from setup to advanced features like time travel and schema evolution, with PySpark examples.

Learn how to build a local RAG chatbot using DeepSeek-R1 with Ollama, LangChain, and Chroma.

Read all about Tableau crosstabs so you can accurately display numerical data. Customize your Tableau crosstab with formatting, filters, parameters, indicator icons, and sparklines to reveal hidden insights.

Learn how to use the DeepSeek API, including model selection, parameter management, cost optimization, context caching, and chain-of-thought optimization.