Data Science Tutorials

Explore the core principles, architectures, and tools behind modern cloud application development. We cover microservices, serverless computing, DevOps integration, and security strategies for building scalable, resilient, and cloud-native applications.

Understand the key differences between SQL and PL/SQL, their ideal use cases, and practical tips for choosing the right tool for efficient database development.

Discover the math and meaning behind power laws. Learn how they model rare events, reveal scale-free patterns, and show up in everything from earthquakes to AI.

Learn how to install, set up, and run GPT-OSS locally with Ollama and build a simple Streamlit application.

Understand how to model the probability of first success in repeated trials, explore its unique memoryless property, and discover practical applications across industries from quality control to customer acquisition.

See how INDEX() and MATCH() are used to look up values within a table or range of cells Compare INDEX() and MATCH() to VLOOKUP().

Learn what deep agents are, their core components, and how to build a job application assistant using LangChain's deepagents package.

Master Excel drop-down lists with step-by-step tips for setup, troubleshooting, and advanced techniques like cascading and searchable lists.

Learn how to convert numbers into formatted text in Excel using the TEXT() function. Customize dates, times, percentages, and more with format codes for clear, user-friendly spreadsheets.

Learn how ChatGPT's study mode works through five practical examples, and discover its strengths and areas for improvement.

Learn how to set up proxy configuration at every layer so your Docker operations work reliably behind enterprise firewalls.

Learn what PyMongo is, why Python developers use it with MongoDB, and how to quickly connect MongoDB to your Python app.