# Example: Using LangChain with OpenAI
from langchain.llms import OpenAI
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate

llm = OpenAI(temperature=0.9)
prompt = PromptTemplate(
    input_variables=["product"],
    template="Write a product description for {product}.",
)
chain = LLMChain(llm=llm, prompt=prompt)
print(chain.run("a new AI-powered Python tool"))

# This is a trend: building LLM-powered applications.

# Example: Data Engineering with Pandas and Dask
import pandas as pd
import dask.dataframe as dd

# Load large dataset with Dask
df = dd.read_csv("huge_dataset.csv")
# Transform data
df = df[df['sales'] > 0]
result = df.groupby('category').sales.sum().compute()

# Pandas for smaller datasets
df_small = pd.read_csv("small_data.csv")
df_small['new_col'] = df_small['value'] * 2

# Trend: Handling big data with Python.

# Example: FastAPI REST API
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float

@app.get("/")
def read_root():
    return {"message": "Hello World!"}

@app.post("/items/")
def create_item(item: Item):
    return {"name": item.name, "price": item.price}

# Run with: uvicorn main:app --reload

# Example: RPA with Playwright
from playwright.sync_api import sync_playwright

with sync_playwright() as p:
    browser = p.chromium.launch()
    page = browser.new_page()
    page.goto("https://example.com/login")
    page.fill("#username", "myuser")
    page.fill("#password", "mypass")
    page.click("#login-button")
    # Automate repetitive tasks
    print(page.title())
    browser.close()

# Trend: Automating web interactions and workflows.

# Example: Quantum Computing with Qiskit
from qiskit import QuantumCircuit, execute, Aer

# Create a quantum circuit
qc = QuantumCircuit(2, 2)
qc.h(0)   # Hadamard gate
qc.cx(0, 1)  # CNOT gate
qc.measure([0, 1], [0, 1])

# Simulate
backend = Aer.get_backend('qasm_simulator')
job = execute(qc, backend, shots=1000)
result = job.result()
counts = result.get_counts(qc)
print(counts)

# Trend: Quantum computing is becoming more accessible.

# Example: Edge AI with TensorFlow Lite
import tensorflow as tf

# Convert a Keras model to TensorFlow Lite
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()

# Save the model for edge devices
with open('model.tflite', 'wb') as f:
    f.write(tflite_model)

# Run on Raspberry Pi, mobile, etc.
# Trend: Deploying AI on edge devices.

AI/ML Engineer Roadmap:
Focus: Building and deploying machine learning models.

Skills to Learn:
- Python (NumPy, Pandas, Matplotlib)
- Machine Learning (Scikit-learn, XGBoost)
- Deep Learning (TensorFlow, PyTorch)
- LLMs and Generative AI (LangChain, Hugging Face)
- MLOps (MLflow, Kubeflow)

Projects to Build:
- Sentiment analysis model
- Image classifier using deep learning
- RAG (Retrieval-Augmented Generation) app with LLMs

Certifications:
- TensorFlow Developer Certificate
- AWS Machine Learning Specialty

Job Titles: ML Engineer, AI Engineer, Data Scientist

Full Stack Developer (Python) Roadmap:
Focus: Building web applications with Python.

Skills to Learn:
- Python (Django or FastAPI)
- Frontend (React or Vue.js)
- Databases (PostgreSQL, MongoDB)
- REST APIs and GraphQL
- Docker and Cloud Deployment

Projects to Build:
- E-commerce platform with Django
- REST API with FastAPI
- Full-stack app with React + Django

Certifications:
- Django Full Stack (Udemy)
- AWS Developer Associate

Job Titles: Python Developer, Full Stack Developer, Backend Engineer

Automation Engineer Roadmap:
Focus: Automating workflows and processes.

Skills to Learn:
- Python scripting and automation
- Web automation (Playwright, Selenium)
- RPA tools (Automation Anywhere, UiPath with Python)
- API integration
- DevOps and CI/CD

Projects to Build:
- Automated web scraper
- Workflow automation with Python and APIs
- Email/Slack notification bot

Certifications:
- Automation Anywhere Certified
- Python Automation (various)

Job Titles: Automation Engineer, RPA Developer, DevOps Engineer