Read about the most up-to-date insights and statistics about Python. Find out more about the different types of jobs and their salaries as well as some predictions and forecasts for the future of this steadily growing programming language.
For a project that originally started as a tribute to the British comedy troupe Monty Python, it’s pretty amazing how far Python has come since it was first launched back in 1992. It has quickly become one of the most popular and widespread programming languages in the world with applications in web development, data analysis, machine learning and design.
In this article, we will look at why this particular programming language is so important in the world today, and what the future may also have in store. In addition to exploring landscape of programming languages, we will also look at what drives growth and what jobs and wages there are. We will also look at how you can learn to learn Python and the different routes for these roles.
The current landscape regarding Python
In essence, Python is a programming language based on data and is built in a rather intuitive way, which makes it easy to write and understand. This gives the user the chance for rapid development in the world of coding.
It is incredibly versatile, which means that Python has several possible applications – in general, however, it is commonly used for web applications and software development, but it can be used in everything from AI to machine learning.
Because of its ease of use and versatility, many large companies and corporations have adopted it – just some of the high-profile companies that use Python as their primary coding language include NASA, Spotify, Dropbox, Instagram and even Google.
What is Python’s Global Market Value?
There are several different reports that we can look at and use to get a good idea of the global value of Python at the moment. According to Statista, Python was most popular programming languages in the world in early March 2020.
In addition, it is the official ranker for programming languages, Popularity of Programming Language Index (PYPL), enhances Python as the most popular programming language. This puts it above more familiar programming languages like Java.
Python is an open source language, which means anyone can use it. This makes it quite difficult to calculate the total global market value. But if you look at an industry like data analytics where Python can be used, the market value is over $ 10 billion.
How is the Python job market?
So what does the job market look like in Python’s world? The number of job postings is often the best indicator of the demand for a language. As Python is the most popular programming language in the world used by companies across the globe, it is a fairly strong market. Python also topped many lists most in-demand technical skills which employers were looking for.
In recent years, Python has seen a huge increase in jobs. There are currently more than 10,000 job postings worldwide on Glassdoor for Python-related roles, with Indeed having around 14,000 roles. Compared to the roles related to Java, Yes currently has almost double the amount of Python, which only shows how big the Python job market is at the moment.
And as more large companies use it, or continue to use it, the number of available roles will only increase. Demand for Python developers has risen to such a level that there is now a site simply called PythonJobs which has the sole purpose of advertising Python-related jobs across the globe.
In the last few years, Python has experienced unprecedented growth. At the beginning of 2020, it was the fourth most popular programming language in the world – in March it was the most popular, and it shows no signs of slowing down. Forbes reported that even in 2018 had grown by as much as 456%.
It was reported in September 2018 that there was well over 7 million Python developers. By April 2019, this number had reached well over 8 million, overtaking Java developers in the process. Due to lockdown laws implemented across the globe, there was also a marked increase in the number of people contributing to open source projects, with Python usage has almost doubled.
What is driving the growth in the use of Python?
There are a number of different things that are driving this continued growth in the use of Python. The first is almost certainly due to the fact that some of the largest companies in the world have decided to use Python as their primary programming language. This opens up many more employment opportunities and even Python training programs.
It is also a result of the fact that data analysis has become a primary focus for many industries. There is so much data now that companies are looking for data scientists to use programming languages like Python to make sense of that data and help create business results.
Here are some of the other major drivers behind the growth of Python usage:
- AI and machine learning – machine learning is something of a hot topic in the IT world at the moment. From Google’s predictable searches to using Siri on your phone, the possibilities for machine learning are huge. And at the moment, Python is the main language used by web developers to make this task easier.
- Data analysis – without a doubt the biggest single reason why people migrate to Python, there are estimates that 17 MB of data is created by every person in the world every second. The need to organize and manipulate this data has never been more important, and data analysis using Python makes a lot of sense.
- Programming of applications – Python is incredibly versatile and can be used to program all kinds of applications. From blockchain applications for video and audio apps, Python is an ideal choice for programming applications.
- web development due to the extensive libraries and frameworks offered by Python, including Django and Flask, and the versatility of the language, it’s a great choice for web developers. It is from this framework that sites like Spotify and Reddit were created.
- Data visualization – whether you want to create simple graphics or something more interactive, Python is a great choice when it comes to data visualization. Due to the wide range of libraries, data visualization with Python gives you a wide range of options so you can turn your data into meaningful insights.
Python job insights
So now that we have a good understanding of the language and its popularity, let’s take a look at the various jobs available in Python’s world. Given the huge popularity and widespread use of Python in both large and small businesses, it comes as no surprise that there are a wide variety of different roles that have Python at the center.
We have described some of the most important employment opportunities as well as the ways you can get into them and the salaries below.
What types of jobs does Python use?
As we have already discussed, the uses of Python are almost innumerable. It is an incredibly versatile programming language that can be used in a true myriad of different roles and industries. We have selected some of the most popular and in-demand roles currently available that require Python skills:
- Software developer. Software development with Python is one of the most effective applications for this innovative programming language. Yes, Reddit and Spotify, among others, got their software developed in Python. Software developers would be required to write, edit and test the code as well as maintain their programs.
- Computer scientist. Computer scientists effectively have to find patterns and make predictions using the company’s data libraries. Because Python has the ability to automate and analyze data fields, it has quickly become the language used for computer science.
- Mechanical learning engineer. Python’s ability to handle algorithms and handle data automation makes it the ideal programming language for machine learning. ML technique requires additional skills and qualifications, but it is still worth noting here as it gives you an idea of the scope of available roles.
- Python developer. A bit obvious here – but python developers are in high demand at the moment. Although there may be parallels with software development, you often use other tools and languages in that role. As a Python developer, you just use Python to write code and build backend infrastructure.
What is the average salary for a role using Python?
As with any industry, the average salary for roles using Python varies depending on the role, the sector you work in, and the amount of experience you have with Python. IT Jobs Watch, a website that specializes in collecting payroll data across the IT industry, states that the average annual salary in the UK for a role that requires Python skills is £ 65,000.
If we take a look at some of the separate roles we discussed above, salaries are different. According to Glass door, a Python developer has an average annual income of £ 58,386. A data researcher, on the other hand, has an average income of £ 41,330 (according to Payment weight).
A report from US Bureau of Labor Statistics also stated that between 2019 and 2029, they predicted an increase in demand for software developers of 22% and that an average annual salary is $ 110,140.
How to get into Python
If you have a great interest in software programming and web development, then Python is a great skill for you to have. It can be a great extra language to learn if you already know something like Java or C, and can be really helpful if you have an understanding of coding and want to take this a step further. And having advanced computer skills really speaks for itself.
Despite this broad set of skills and requirements, there are a number of ways to get into the world of Python and see which application best suits your skill set.
- Education – Most roles that use Python require that you have had previous experience using this programming language. As it is an open source programming language, there are not necessarily certificates or accreditation you can receive that indicate your success in using it. However, you can sign up for one of our Python courses, whichever it is Python essentials, or data analysis using Python.
- Experience more and more companies are hiring graduates with development skills that have been nurtured themselves. Anyone can use Python so everyone can build on their experience with it – so you can start programming with Python today, and prove your abilities.
- Internship -these are the best ways to gain hands-on experience with Python, and then possibly end up with an employment opportunity on the other side of it. It’s a low effort opportunity to test the waters and see how you like working with Python.
The future of Python
As Big Data and machine learning become more important, Python’s future becomes more secure and secure. In addition, there is a step towards AI that Python can program quickly and easily, making it a language that is definitely here to stay. Since games and software were created with Python alone, it has only been in recent years that people have come to understand the full implications of this programming language.
For the past four years, Python has been rated as one of the most desirable technologies to have experience with, and as technological features like data analysis become more prevalent in different industries, this is a trend that is likely to continue. Python is certainly a sought-after programming language that has a bright future.