NumPy Arrays vs Inbuilt Python Sequences

• Unlike lists, arrays are of fixed size, and changing the size of an array will lead to the creation of a new array while the original array will be deleted.
• All the elements in an array are of the same type.
• Arrays are faster, more efficient, and require less syntax than standard Python sequences.

Note: Various scientific and mathematical Python-based packages use Numpy. They might take input as an inbuilt Python sequence but they are likely to convert the data into a NumPy array to attain faster processing. This explains the need to understand NumPy.

Python lists are a substitute for arrays, but they fail to deliver the performance required while computing large sets of numerical data.

To address this issue we use the NumPy library of Python. NumPy offers an array object called ndarray. They are similar to standard Python sequences but differ in certain key factors.