1. Flask: A lightweight and versatile web framework for Python, Flask is perfect for building small to medium-sized web applications quickly and efficiently. With its simple syntax and extensive documentation, Flask makes it easy for developers to get started with web development. Whether you're creating a blog, e-commerce site, or API, Flask has got you covered.
2. Pandas: An essential tool for data analysis in Python, Pandas provides powerful data structures like DataFrames and Series that make working with data a breeze. With built-in functions for data manipulation, cleaning, and visualization, Pandas is a must-have for any data scientist or analyst. Its seamless integration with other libraries like NumPy and Matplotlib makes it a powerhouse in the world of data science.
3. Pytest: A popular testing framework for Python, Pytest simplifies the process of writing and running tests for your codebase. With its intuitive syntax and robust features like fixture
2. Pandas: An essential tool for data analysis in Python, Pandas provides powerful data structures like DataFrames and Series that make working with data a breeze. With built-in functions for data manipulation, cleaning, and visualization, Pandas is a must-have for any data scientist or analyst. Its seamless integration with other libraries like NumPy and Matplotlib makes it a powerhouse in the world of data science.
3. Pytest: A popular testing framework for Python, Pytest simplifies the process of writing and running tests for your codebase. With its intuitive syntax and robust features like fixture