1. Flask: A lightweight and versatile web framework for Python, perfect for building small to medium-sized web applications. With its simple syntax and extensive documentation, Flask is a popular choice among developers looking to quickly create APIs or dynamic websites. Its modular design allows for easy customization and integration with various extensions like SQLAlchemy for database management.
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 ideal for tasks such as data cleaning, transformation, analysis, and visualization. Its DataFrame object makes it simple to manipulate tabular data and perform complex operations efficiently.
3. Matplotlib: A comprehensive plotting library that enables users to create a wide variety of visualizations, including line plots, bar charts, histograms, scatter plots, and more. Matplotlib's flexibility and customi
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 ideal for tasks such as data cleaning, transformation, analysis, and visualization. Its DataFrame object makes it simple to manipulate tabular data and perform complex operations efficiently.
3. Matplotlib: A comprehensive plotting library that enables users to create a wide variety of visualizations, including line plots, bar charts, histograms, scatter plots, and more. Matplotlib's flexibility and customi