Data Science Tutorials

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.

Master feature extraction techniques with hands-on Python examples for image, audio, and time series data. Learn how to transform raw data into meaningful features and overcome common challenges in machine learning applications.

This in-depth guide to Apache Parquet breaks it down with clear explanations, and hands-on code examples!

Learn how to create a Power BI waterfall chart, including how to customize the chart to make it look nice. Follow best practices and avoid common mistakes.

Learn the step-by-step process of setting up a RAG application using Llama 3.2 Vision, Ollama, and ColPali.

Learn to create and customize Seaborn barplots in Python. Master essential techniques for visualizing categorical data relationships, from basic plots to advanced features.