Python

2 weeks ago 94

AI Python

MCP Tool Design Agents Get Right: Schemas, Errors, and Structured Output

The craft that decides whether agents succeed with your server: choosable descriptions, constrained schemas, the isError contract, structured output, and honest tool annotations.

2 weeks ago 43

AI Python

MCP Resources and Prompts: Giving Models Context, Not Just Actions

Stop building everything as a tool. Add resources, resource templates, and prompts to your Python MCP server, with URI design guidance and a decision framework for choosing primitives.

2 weeks ago 53

AI Python

Your First MCP Server with FastMCP and uv

Stand up a real MCP server with the official Python SDK: uv setup, FastMCP tools, how type hints become schemas, the Inspector loop, and connecting to Claude Code and Claude Desktop.

2 weeks ago 48

AI Python

MCP From the Ground Up: Architecture, JSON-RPC, and Why It Won

What MCP actually is before you write any code: hosts, clients, and servers, JSON-RPC on the wire, the initialize handshake, and the three primitives, with an interactive protocol walkthrough.

2 weeks ago 50

Python

Async Python Deep Dive: asyncio, httpx, and Concurrency for API and LLM Calls

Understand asyncio and the event loop, then fan out API and LLM calls concurrently with httpx, gather, and a semaphore to bound load.

2 weeks ago 41

Python

Type-Safe Data Modeling with Pydantic v2 and Python Type Hints

Use Pydantic v2 to validate data at the boundary: models, field constraints, custom validators, and clean serialization, the backbone of FastAPI and reliable LLM output.

2 weeks ago 55

Python

Modern Python 3.14 Setup for LLM Projects: uv, Virtualenvs, Typing, and Project Layout

Set up a fast, reproducible Python 3.14 project with uv, a src layout, Ruff, and mypy: the foundation for the FastAPI and LLM work ahead.

5 years ago 6.4K

Python

Important functionalities of Pandas in Python : Tricks and Features

Pandas is one of my favorite libraries in python. It’s very useful to visualize the data in a clean structural manner. Nowadays Pandas is widely used in Data Science, Machine Learning and other areas.

6 years ago 6K

Python

Predicting per capita income of the US using linear regression

Python enables us to predict and analyze any given data using Linear regression. Linear Regression is one of the basic machine learning or statistical techniques created to solve complex problems.

6 years ago 4.6K

Archived

Python

How to get data from twitter using Tweepy in Python?

To start working on Python you need to have Python installed on your PC. If you haven’t installed python. Go to the Python website and get it installed.