Why is it important to learn python?

Python is a very popular programming language today and often needs an introduction. It is widely used in various business sectors, such as programming, web development, machine learning and data science. Given its widespread use, it is not surprising that Python has overtaken Java as the leading programming language. Initially developed in the late 1980s by Guido Van Rossum, Python has existed alongside other server-side languages such as Java and C for decades.

Van Rossum modelled Python after the English language, removing unnecessary syntax to make it easier to read and write than other programming languages. GitHub is the place where developers store their project code and collaborate with other developers. With over 1.5 million repositories on GitHub and over 90,000 users committing or creating issues in these repositories, Python has the second largest community on GitHub. One of the most important reasons why you should learn Python is data science.

Data scientists are in demand, are well paid and work in super exciting jobs. Data visualisation, predictive modelling, programming skills, anyone? The career field is very diverse and especially interesting for data scientists with statistical skills. Python is used in a variety of fields, from web and game development to machine learning, AI, scientific computing and academic research. It is easy to learn as a first language and a valuable skill set to have in any programmer's stack due to its diverse usage.

It's a versatile tool that can be useful in almost any career, so it's not going anywhere anytime soon. My favourite language of all time and here are five reasons why I think you should start learning Python too. From that experience, I realised that there is a difference between learning to program and learning a programming language. This includes numpy and pandas, which allow users to understand and transform data; tensorflow, which is used to code machine learning algorithms; and pyspark, an API for working with Spark - a framework for easily working with large datasets.

Once you learn it you can find opportunities in web development, data science, machine learning, AI, web scrapping, game development, scientific and numerical computing, the list goes on, making it the versatile language to learn. Reusing, recycling and improving other programmers' code is fundamental to being a successful programmer, so Python's strong programming communities help make it a solid programming language to learn. My students learn Python to build machine learning models, but I'm always excited to hear about other ways they've leveraged the programming language.

William Sandoual
William Sandoual

Subtly charming travel evangelist. General coffee scholar. Avid zombie enthusiast. Hardcore travel fanatic. Infuriatingly humble internet fanatic.