Data Science Tutorials

Learn how blue-green deployment enables near-zero downtime, simple rollbacks, and safe production testing in modern DevOps and cloud-native workflows.

Learn how to remove files in Git repository, avoid common mistakes, and manage your repository cleanly even in complex or sensitive scenarios.

Learn how to share data in Snowflake. Understand setup, access control, billing, and best practices for secure, scalable data sharing in Snowflake.

This tutorial walks you through setting up, managing, and securing secrets, keys, and certificates using Azure Key Vault.

Learn how to use Google’s Gemini 2.5 Flash Image for professional AI image generation. This step-by-step guide covers setup, prompt engineering, editing workflows, and advanced features.

Discover how AWS Amplify streamlines full-stack cloud app development with real-time APIs, authentication, storage, and Git-based, code-first deployments.

Learn how Vision Transformers (ViTs) leverage patch embeddings and self-attention to beat CNNs in modern image classification. This in-depth tutorial breaks down the ViT architecture, provides step-by-step Python code, and shows you when to choose ViTs for real-world computer-vision projects.

Learn what multi-head attention is, how self-attention works inside transformers, and why these mechanisms are essential for powering LLMs like GPT-5 and VLMs like CLIP, all with simple examples, diagrams, and code.

A step-by-step guide on fine-tuning the OpenAI GPT-OSS 20B model on the medical question and answer dataset for both accuracy and style adoption.

Learn Python try-except with real-world examples, best practices, and common pitfalls. Write cleaner, more reliable error-handling code.

Learn how to integrate dbt with Snowflake for modern data workflows. Covers setup, transformations, security, CI/CD, and performance optimization.

Learn how to effectively use PySpark withColumn() to add, update, and transform DataFrame columns with confidence. Covers syntax, performance, and best practices.