Course Content

Course Content


Python is a dynamically semantic, interpreted, object-oriented high-level programming language. Its high-level built-in data structures, together with dynamic typing and dynamic binding, making it ideal for Rapid Application Development and as a scripting or glue language for connecting existing components. Python's concise, easy-to-learn syntax prioritises readability, which lowers software maintenance costs. Modules and packages are supported by Python, which fosters programme modularity and code reuse. The Python interpreter and its substantial standard library are free to download and distribute in source or binary form for all major platforms.

Python is one of the most popular programming languages. It can be used to build websites, automate tasks, and do statistical analysis. Python is easy to learn and has a large community of developers. It has built-in data structures and libraries which makes it easier for beginners to learn how to code.

Data structures are the backbone of computer science and programming, but for some reason they're never taught to new programmers or CS majors. In this article, I'll be explaining what data structures are as well as introducing the most common ones in Python.

Python is a high-level, interpreted programming language that features dynamic typing, lexical syntax, and a simple but powerful object system. Python's design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages like C++ or Java.

Python is a widely used programming language that frequently requires an introduction. Programming, web development, machine learning, and data science are just a few of the industries that use it. Python has surpassed Java as the most popular programming language, which is unsurprising given its broad use.

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