Python

A comprehensive introduction to LangChain explaining its core concepts, supported model types, and hands-on integration with Ollama LLMs, chat models, and embedding models.

A comprehensive guide to Python programming fundamentals covering core concepts for beginners.

Learn how to control and structure prompts in LangChain using PromptTemplate, message classes, and ChatPromptTemplate to build safe, consistent, and context-aware chat applications.

Comprehensive tutorial covering Python Asyncio fundamentals: what coroutines are, how the event loop works, creating and scheduling tasks, coordinating concurrent code with gather(), and controlling access to shared resources with locks and semaphores.

An in-depth look at Python data types, exploring their usage and importance in programming.

Step-by-step implementation of Singly Linked Lists in Python, including standard operations and interview questions.

Learn how to enforce structured outputs in LangChain using Pydantic schemas, with_structured_output, and output parsers to build reliable, production-ready LLM applications.

A detailed examination of Python’s control structures, focusing on loops and conditionals to enhance your programming skills.

A complete guide to Doubly Linked Lists in Python, featuring bidirectional traversal and advanced node operations.

Learn how to compose powerful LLM workflows in LangChain using chains, including sequential, parallel, and conditional execution patterns with real-world examples.