It supports some of the most complex websites and apps in the world. However, Python is not limited to basic use.
It can run on diverse platforms such as Windows, Linux, and Mac OS, and is open-source software.īecause the readability and other structural elements of Python are designed to be easy to understand, it is a great language for beginners as Python basics are quite intuitive to grasp.
The initial purpose of Python was to make programming easy, as it focused on code readability. In fact, ease of use was one of Python’s founding principles when it was created in 1989 by Guido van Rossum (and released later in 1991).
It’s also a more forgiving language that is able to operate with some level of errors. Python is also a flexible, dynamically typed language, which means the rules aren’t hard set, making it more intuitive. Its syntax has similarities with the English language, making it easy for novice programmers to leap into the world of development. Python can be considered beginner-friendly, as it is a programming language that prioritizes readability, making it easier to understand and use. As Python coding gains even more popularity, users will find more versatile libraries that will help them write more code in less time and streamline existing content.
Even better, since Python is open source, the list of libraries and resources is constantly growing. Python’s robust array of libraries streamlines the coding process immensely since you can simply input an action from the library into your code. There’s hardly a tech job that you can’t apply Python to, which will make you more valuable to any employer or client. Big companies love its power and versatility, so the Python language can be expected to continue to rise in popularity around the world. It is used in many different types of projects and by many large organizations, including Facebook, NASA, Reddit, and Amazon. Python is also a very versatile language. Learning Python, however, is relatively easy. The right training will give you a fundamental understanding of Python, which in turn enables you to learn more complex machine learning and data science concepts moving forward. In a Python course like BrainStation’s, you’ll learn core concepts like libraries, dictionaries, and lists, which are required knowledge for a data-focused role. In the end, though, how long it takes to learn Python depends on how much experience you have with programming languages, web development, data science, and other related fields. On average, it can take anywhere from five to 10 weeks to learn the basics of Python programming, including object-oriented programming, basic Python syntax, data types, loops, variables, and functions.