Built-in Data Structures in Python
Built-in Data Structures are the data types that cover almost every part of real-world DS and are directly used by developers (for both storing and declaring) different variables within a program. There are 2 major categories i.e. Primary (Primitive) and Non-Primitive (Lists, Dictionaries, Tuples, and Sets) Data Types.
If you’re looking to master DSA using Python Programming Language and prepare for big tech giants, we recommend you enroll yourself in Data Structure & Algorithms in Python – Self-Paced Course, designed to offer video tutorials, and a lot of practice sets and too with course completion certificate & 24×7 doubt support assistance.
DSA in Python – Online Course For Beginners
We all must have learned in school that a program needs instructions to perform any dedicated task such as sequencing a number, sorting tables, etc. However, these tasks are required to store, retrieve, and perform to form a symmetric structure in the virtual system. In other words, a data structure is used to perform all these actions (store-retrieve-organize) data in a structured way with the help of algorithms in an efficient manner.
Now, to learn DSA, you need to learn at least one programming language and python is the best choice nowadays. As per reports, Python was voted as the #1 Programming Language among Java, C/C++, etc. Not only this, currently there are more than 32,000 jobs available for Python Developers (in India) & 134,000+ (worldwide), and that’s why people are inclined towards Python Programming Language.
Why DSA with Python?
As we know that Python is a beginner’s Language and is used in machine learning, game development, artificial intelligence, web development, etc. Python is a simple, high-level, general-purpose programming language that offers easy syntax and was introduced with the concept of providing ease of learning (just like English).