Hands-On Data Structures and Algorithms with Python - Second Edition

Python for data

Python has several built-in data structures, including lists, dictionaries, and sets, which we use to build customized objects. In addition, there are a number of internal libraries, such as collections and math object, which allow us to create more advanced structures as well as perform calculations on those structures. Finally, there are the external libraries such as those found in the SciPy packages. These allow us to perform a range of advanced data tasks such as logistic and linear regression, visualization, and mathematical calculations, such as operations on matrices and vectors. External libraries can be very useful for an out-of-the-box solution. However, we must also be aware that there is often a performance penalty ...