1. Flask: A lightweight web framework for Python that 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 web services and APIs. It also supports various extensions for added functionality like authentication and database integration.
2. Pandas: A powerful data manipulation library that provides high-performance, easy-to-use data structures and tools for working with structured data. Pandas is widely used in data analysis and machine learning projects due to its ability to handle large datasets efficiently. It offers functionalities like data cleaning, merging, reshaping, and visualization.
3. Scrapy: An open-source web scraping framework written in Python that makes it easy to extract data from websites. Scrapy allows users to build web crawlers that can navigate through websites, extract specific information, and store it in a structured format like
2. Pandas: A powerful data manipulation library that provides high-performance, easy-to-use data structures and tools for working with structured data. Pandas is widely used in data analysis and machine learning projects due to its ability to handle large datasets efficiently. It offers functionalities like data cleaning, merging, reshaping, and visualization.
3. Scrapy: An open-source web scraping framework written in Python that makes it easy to extract data from websites. Scrapy allows users to build web crawlers that can navigate through websites, extract specific information, and store it in a structured format like