1. Flask: A lightweight Python web framework perfect for building small to medium-sized web applications. With its simple and easy-to-use syntax, Flask allows developers to quickly create web apps without the overhead of a full-fledged framework. Its extensive documentation and active community make it a popular choice among developers looking to get started with web development in Python.
2. Pandas: A powerful data manipulation and analysis library that provides high-performance, easy-to-use data structures such as DataFrames. Pandas is essential for anyone working with data in Python, offering tools for cleaning, transforming, and analyzing datasets with ease. Its integration with other libraries like NumPy and Matplotlib makes it a versatile tool for data science projects.
3. PyInstaller: A handy tool for converting Python scripts into standalone executables that can be run on any machine without requiring Python to be installed. PyInstaller packages your c
2. Pandas: A powerful data manipulation and analysis library that provides high-performance, easy-to-use data structures such as DataFrames. Pandas is essential for anyone working with data in Python, offering tools for cleaning, transforming, and analyzing datasets with ease. Its integration with other libraries like NumPy and Matplotlib makes it a versatile tool for data science projects.
3. PyInstaller: A handy tool for converting Python scripts into standalone executables that can be run on any machine without requiring Python to be installed. PyInstaller packages your c