1. Flask: A lightweight and versatile web framework for Python, Flask is perfect for building small to medium-sized web applications. With its modular design and easy-to-use syntax, Flask allows developers to quickly create web services and APIs. Its extensive documentation and active community make it a popular choice among developers worldwide.
2. Pandas: A powerful data manipulation tool built on top of NumPy, Pandas is essential for anyone working with data in Python. It provides easy-to-use data structures like DataFrames and Series, making tasks such as data cleaning, filtering, and analysis a breeze. With its wide range of functions and methods, Pandas is a must-have tool for data scientists and analysts.
3. Pytest: A simple yet powerful testing framework for Python, Pytest makes writing and running tests a seamless experience. Its intuitive syntax allows developers to write test cases quickly and efficiently, while its extensive plugin ecosystem offers
2. Pandas: A powerful data manipulation tool built on top of NumPy, Pandas is essential for anyone working with data in Python. It provides easy-to-use data structures like DataFrames and Series, making tasks such as data cleaning, filtering, and analysis a breeze. With its wide range of functions and methods, Pandas is a must-have tool for data scientists and analysts.
3. Pytest: A simple yet powerful testing framework for Python, Pytest makes writing and running tests a seamless experience. Its intuitive syntax allows developers to write test cases quickly and efficiently, while its extensive plugin ecosystem offers