1. Flask: A lightweight and versatile web framework for Python, Flask is perfect for building small to medium-sized web applications. With its easy-to-use syntax and extensive documentation, Flask allows developers to quickly create powerful web applications with minimal code. Its modular design also makes it easy to add extensions for additional functionality.
Reference: https://flask.palletsprojects.com/en/2.0.x/
2. Pandas: An essential data manipulation tool for Python, Pandas provides high-performance data structures and tools for analyzing structured data. With its powerful features like data alignment, reshaping, grouping, and merging, Pandas simplifies the process of working with tabular data. It is widely used in data analysis, machine learning, and other fields where handling large datasets is crucial.
Reference:
Reference: https://flask.palletsprojects.com/en/2.0.x/
2. Pandas: An essential data manipulation tool for Python, Pandas provides high-performance data structures and tools for analyzing structured data. With its powerful features like data alignment, reshaping, grouping, and merging, Pandas simplifies the process of working with tabular data. It is widely used in data analysis, machine learning, and other fields where handling large datasets is crucial.
Reference: