A Complete Guide To Data Structures And Algorithms In Python
Basic Data Structures
Data Structures and Algorithms Complete Tutorial Computer Education for All
Programming is an intrinsically difficult activity. Though each programming language is different but there are some dimensions where their data structures can be related and differentiate easily. For example, low-level versus high-level, general versus specific task domain, interpreted versus compiled, and so on. Python is a general-purpose programming language and it is relatively simple and easy to learn. In addition, it provides the kind of run time feedback which will help the novice programmers. Just like any other programming language, data structure and algorithms in Python are its basic building blocks.
Computers store and process data with an extra ordinary speed and accuracy. So it is highly essential that the data is stored efficiently and can be accessed fast. Also the processing of data should happen in the smallest possible time but without losing the accuracy. Data structures deal with how the data is organized and held in the memory when a program processes it. It is important to note that the data that is stored in the disk as part of persistent storages like relational tables are not referred as data structure here. An Algorithm is step by step set of instruction to process the data for a specific purpose. So an algorithm utilizes various data structures in a logical way to solve a specific computing problem.