Data Science Tutorials

Learn how to build intelligent AI applications with OpenAI's Agents SDK. This comprehensive guide covers creating agents, implementing tools, structured outputs, and coordinating multiple agents.

Learn to synchronize local files with Amazon S3 using the AWS CLI. This hands-on tutorial walks you through installation, basic operations, advanced options, and backup strategies to master file synchronization between your local environment and the AWS cloud.

This practical guide walks you through setting up, managing, and optimizing Amazon Aurora, with insights on performance tuning, security, and cost management.

Learn how to use Snowflake Cortex AI for text processing. Explore its key capabilities and showcase some examples of how to use Cortex AI to parse and quickly understand text.

Learn about Cloud Run and its use cases, then follow our step-by-step guide and launch your first instance.

Learn how to use Mistral's OCR API with Python to extract text and images from documents and integrate OCR capabilities into applications.

Learn how the softmax activation function transforms logits into probabilities for multi-class classification. Compare softmax vs sigmoid and implement in Python with TensorFlow and PyTorch.

Learn how to merge branches efficiently in Git with this step-by-step tutorial. Explore different merge strategies, resolve conflicts, and apply best practices to keep your Git history clean.

This guide explains how to delete branches in Git—locally and remotely—while following best practices to avoid accidental data loss.

Learn how to perform linear regression in Python using NumPy, statsmodels, and scikit-learn.

Learn how to use Wan 2.1, Alibaba's open-source video generation model, to create videos from text and images.

Learn how to use the modulo operator (%) in Python to solve real-world problems, from checking even/odd numbers to cryptography, or cyclic data structures.