Programming tutorials, AI tools, and developer entrepreneurship resources for full-stack growth
Python basics, web dev, data science
39 tutorials StartChatGPT, Claude, AI Agents
51 tutorials StartFastAPI, Flask, frontend/backend
20 tutorials StartAgent dev, LangChain
0 tutorials StartAI coding assistant tutorials
99 tutorials StartOpenAI Codex deep guides
94 tutorials StartDocker, CI/CD, cloud deploy
0 tutorials StartMySQL, PostgreSQL, Redis
0 tutorials Start引言 多智能体协作通信机制是AI Agent（智能…
引言 构建自主决策AI Agent系统是AI Ag…
编写测试是构建健壮 Flask 应用的关键环节。良…
在之前的“Flask 数据库操作”中，我们学习了如…
将 Flask 应用从本地开发环境部署到生产环境，…
在 Flask 中，中间件（Middleware）…
在 Web 开发中，错误是不可避免的（如用户访问了…
蓝图（Blueprints） 是 Flask 实现…
在 Flask 中，最主流的数据库操作方式是使用 …
在 Web 开发中，表单（Form） 是用户与服务…
Complete learning path from zero to full-stack engineer
Python basics, environment setup, data types
2-4 weeksWeb frameworks, API dev, database ops
4-8 weeksAI Agents, LangChain, model deployment
6-12 weeksSaaS building, DevOps, product launch
8-16 weeksCurated AI tools for developers, 10x productivity
Most powerful general AI assistant
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Copy code and run your first project now
pip install fastapi uvicorn
# main.py
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
def hello():
return {"msg": "Hello World!"}
# Run: uvicorn main:app --reloadpip install langchain openai
from langchain.chat_models import ChatOpenAI
from langchain.agents import initialize_agent
llm = ChatOpenAI(model="gpt-4")
agent = initialize_agent(tools=[], llm=llm)
agent.run("Hello, AI!")Common syntax & commands on one page
Data types, list comprehension, decorators, exceptions
Branch ops, merge conflicts, rollback, common commands
Container mgmt, Dockerfile, Compose, networking
File ops, permissions, process mgmt, shell scripting
SELECT queries, JOINs, subqueries, index optimization
ES6+ syntax, Promises, async/await, DOM ops
Start with Python basics. Our learning roadmap provides a complete path from zero to full-stack. Complete Python basics first, then choose Web dev or AI direction.
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