Python loops are control structures that allow developers to execute a block of code repeatedly until a certain condition is met. Python supports two main types of loops: for loops and while loops. For loops are typically used for iterating over a fixed sequence of values, such as a list or tuple, while while loops are used for iterating until a certain condition is met.
Python libraries, on the other hand, are collections of pre-written code that developers can use to extend the functionality of their programs. Python has a rich ecosystem of libraries, covering everything from scientific computing and data analysis to web development and machine learning. Some of the most popular Python libraries include NumPy, Pandas, Matplotlib, Flask, and TensorFlow.
By mastering Python loops and libraries, developers can build powerful applications that can process large amounts of data, automate repetitive tasks, and perform complex computations. These skills are highly valued in the tech industry, making Python a popular language among developers and data scientists alike.
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