Python Libraries

NumPy

NumPy is a powerful library for numerical computing in Python. It provides a wide range of functions for working with arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, etc.

NumPy arrays are similar to Python lists but are more efficient for certain operations and take less memory. They are also more flexible, as they can be multidimensional (e.g., a 2D array is an array of arrays).

To use NumPy, we can import it into our Python code using the following import statement:

NumPy is a core library for scientific computing in Python, and many other libraries, such as pandas and SciPy, are built on top of it.

pandas

pandas is a powerful library for working with data in Python. It provides many functions for loading, manipulating, and ...