For the fifth year in a row, Python was rated as one of the most desirable technologies in the Stack Overflow Insights Annual Developer Survey. The programming language’s upward trend is set to continue with the growing importance of data analytics and other technological traits in various industries.
What began as a Monty Python homage in 1992 has become one of the world’s most widely used programming languages. Its use in data analytics, design, machine learning, and web development mean it cannot be ignored. Take a closer look at Python in the current landscape and get other insights below.
Significant Global Market Value
According to a recent Data Bridge Market Research report, the Python package software market is expected to reach US$22,176.70 million by 2028. This represents a growth rate of 8.10% between 2021 and 2028. That said, FutureLearn had a slightly different take on Python’s global market value. Being an open-source language means anyone can use it – and that can make it difficult to gauge the true overall global market value. Looking at other industries in which Python plays an important role offers other insights, one of them being a market value of more than $10 billion.
The Python Job Market
According to 365 Data Science, Python is associated with jobs in the U.S. that quote a median salary as high as $120,000. The site also reported that Glassdoor, Indeed, and other job-seeker sites have more than 100,000 job ads that list the programming language among the skill requirements. The staggering number of job listings offers a good idea of the demand for Python. It’s not surprising then that there is a website called PythonJobs which advertises Python-related jobs around the world. A few examples of jobs that use the programming language include:
Software Developer: Python is especially effective for software development. As a developer, you would need to write, edit, and test code, as well as maintain the programs you write. Part of that process includes knowing how to select rows from Panda’s data frame based on condition. This means using the data frame to collate data and ensuring that the relevant rows are selected based on stipulated conditions such as partial, conditional, and exact matches.
Machine Learning Engineer: Python is an excellent programming language for machine learning, given its ability to handle data automation and algorithms. Be aware that you need additional qualifications and skills for machine learning engineering jobs.
Data Scientist: Python has become the premier language in data science due to its ability to automate and analyze data fields. As a data scientist, you would need to use a company’s data libraries in conjunction with Python to find patterns and make forecasts.
Easy And Versatile
NASA, Dropbox, Google, Instagram, and Spotify are some of the high-profile brands that use Python as their primary coding language, according to FutureLearn. A couple of the reasons for this is, as far as programming languages go, it’s built intuitively, and it’s based around data. This not only makes it versatile and easy to understand and to write, but it also offers users opportunities to develop quickly in the coding world.
Despite the programming language’s versatility, the most common uses include software development and web applications. The U.S. Bureau of Labor Statistics predicts a 22% growth in demand for software developers between 2019 and 2029. The bureau also reported that the average annual wage for the job is $110,140. There’s no doubt that Python simply cannot be ignored.
Talha Ali is your tech generalist, covering a wide spectrum of topics within the ever-evolving world of technology. With a curiosity for the latest innovations, industry trends, and breakthroughs. Whether it’s hardware, software, emerging technologies, or the intersection of tech with daily life, Talha’s articles provide readers with a well-rounded perspective on the dynamic landscape of the tech industry.