What frameworks and libraries do you use in your work?

I actively use the following frameworks and libraries:

Web Development:

• Django: A full-featured MVC framework for rapid web application development.

  # Example of using Django ORM
  from myapp.models import MyModel
  
  obj = MyModel.objects.create(name='test')
  

• Flask: A lightweight microframework for creating web services and APIs.

  # Example of a simple Flask application
  from flask import Flask
  
  app = Flask(__name__)
  
  @app.route('/')
  def hello_world():
    return 'Hello, World!'
  

Data Handling:

• Pandas: A library for data analysis and manipulation of tabular data (DataFrame).

  # Example of creating a DataFrame
  import pandas as pd
  
  data = {'col1': [1, 2], 'col2': [3, 4]}
  df = pd.DataFrame(data)
  

• NumPy: The foundation for numerical computations, working with multi-dimensional arrays.

  # Example of creating a NumPy array
  import numpy as np
  
  arr = np.array([1, 2, 3])
  

Testing:

• pytest: A flexible framework for writing tests.

  # Example of a simple test
  def test_addition():
    assert 1 + 1 == 2
  

• unittest: Python's built-in module for unit testing.

Asynchronous Programming:

• asyncio: The standard library for writing asynchronous code.

  # Example of an asynchronous function
  import asyncio
  
  async def my_async_function():
    await asyncio.sleep(1)
    print("Done sleeping")
  

• aiohttp: An asynchronous client-server HTTP library.

Working with Databases:

• SQLAlchemy: SQL toolkit and Object Relational Mapper (ORM).
• psycopg2: PostgreSQL adapter for Python.

Other Useful Libraries:

• Requests: A simple library for making HTTP requests.
• BeautifulSoup: For parsing HTML and XML.
• Celery: Distributed task queue.
• Redis: Client for the Redis NoSQL database.

The set of frameworks and libraries used depends on the specific project requirements.