1. Flask: A lightweight web framework for Python, perfect for building small to medium-sized web applications. With its simple and easy-to-use syntax, Flask allows developers to quickly create RESTful APIs, web services, and more. Its extensive documentation and active community make it a popular choice among developers. #Flask #WebDevelopment
2. Pandas: A powerful data manipulation tool that provides data structures like DataFrames and Series, making it easy to work with structured data in Python. Pandas is widely used in data analysis, machine learning, and data visualization projects due to its flexibility and efficiency. Its ability to handle large datasets with ease makes it a must-have tool for any data scientist or analyst.
2. Pandas: A powerful data manipulation tool that provides data structures like DataFrames and Series, making it easy to work with structured data in Python. Pandas is widely used in data analysis, machine learning, and data visualization projects due to its flexibility and efficiency. Its ability to handle large datasets with ease makes it a must-have tool for any data scientist or analyst.