#12 Data Types SETS | Learn Python easy way
The course will train with the core programming concepts with Python. Python Foundation with Data Structures & Algorithms. The involvement of the practical technique of problem-solving will give learners a better understanding of the concepts of the course. Learn to design efficient algorithms in this course and become ready for future job requirements.
The course is beneficial for those who want to explore the domain of programming and excel in one of the popular programming languages, Python. The course will help you to get familiar with the different libraries of python and lay a solid foundation in Data Structures and Algorithms.
So, if you have a passion to learn programming, this is the best opportunity for you. Python is an interpreted, high-level and general-purpose programming language. Python’s design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.
Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. Python is often described as a “batteries included” language due to its comprehensive standard library.
Guido van Rossum began working on Python in the late 1980’s, as a successor to the ABC programming language, and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000 and introduced new features, such as list comprehensions and a garbage collection system using reference counting and was discontinued with version 2.7.18 in 2020. Python 3.0 was released in 2008 and was a major revision of the language that is not completely backward-compatible and much Python 2 code does not run unmodified on Python 3.
Python consistently ranks as one of the most popular programming languages.
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