So why learn Python?
1. Python is extremely versatile, with multiple uses
Just to name a few of its most common uses, Python is used in Data Mining, Data Science, AI, Machine Learning, Web Development, Web Frameworks, Embedded Systems, Graphic Design applications, Gaming, Network development, Product development, Rapid Application Development, Testing, Automation Scripting, the list goes on.
Python is used as an easier and more efficiently-written alternative to languages that perform similar functionalities like C, R, and Java. Therefore Python is growing in popularity as the primary language for many applications.
RELATED: Top Python Uses
Python uses in Data Science and Machine Learning
Historically, the R programming language is most commonly used for data science. As Python code is considered easier to maintain and more scalable than R, Python has increased in popularity for data science – especially among professionals without advanced education in statistics or mathematical fields.
In the past few years, many packages have been developed for data analysis and machine learning using Python. 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 data sets.
These libraries enable your every day web developer to analyze large data trends, without having to learn the ins and outs of the more complex R.
Growing Interest in Python Machine Learning Technologies
Image source: Stack Overflow Trends
Python uses in other industries
Python – and programming in general – is in such high demand because it is useful in just about every industry. Python is used by companies in recruiting, healthcare, financial services, marketing, education and many more.
For example, ‘Growth Marketers’ are now basing their marketing decisions on the analysis done in Python. Businesses are turning away from Excel spreadsheets and towards Python-driven analysis.
Python.org lists various success stories from different industries and applications that use Python. The length of this list alone shows you how versatile Python uses are. One interesting story is of BATS, which aims to provide access to maps for the visually impaired. Another story is a workflow automation system for NASA which was written in Python by one person in less than a year.
Python Stack Overflow Queries by Industry
Image source: Stack Overflow
What types of companies use Python?
Python is great for quick prototyping, hence is used extensively by startups to build their first minimum viable product (MVP). As a highly scalable language, Python is also used in the world’s largest and most sophisticated companies. Netflix discussed its uses of Python in everything from their Content Delivery Network (CDN) to their monitoring systems.
Google also loves Python programming for its solutions. Peter Norvig, director of research at Google, said that,
“Python has been an important part of Google since the beginning, and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.”
According to iDataLabs 67% of the companies that use Python are small (<$50M in revenue), 9% are medium-sized ($50M – $1000M in revenue) and 17% are large (>$1000M in revenue).
So how can you maximize the number of companies that would be open to hiring you? Choose a language that is used across the board. Whether you want to work for Google building their next worldwide application, or for the next start-up unicorn, Python opens the doors to companies of all shapes and sizes.
Image source: CodingNomads