This informal CPD article’ The Growing Demand for Python Developers in 2023‘ was provided by keySkillset, a muscle memory building educational platform to master Excel, PowerPoint, Python Coding, Financial Modeling skills and more.
Python has been a highly popular language for many years due to its versatility and ease of use. According to Statista, it was ranked as the third most in-demand programming language among recruiters in 2022. With its continued success, the question arises: will Python remain in demand in 2023? In this article, we will answer this important question and explore the future of Python development.
Rising Demand for Python Developer in 2023
The demand for Python Developers has skyrocketed in recent years, with a worldwide increase of 41% according to a report from GitHub. Python is the most popular programming language according to the Popularity of Programming Language Index (PYPL), and its usage on the platform surged by 22.5% year-over-year in 2022. Python is an open-source language, making it difficult to determine its global market value, though the data analytics industry highly values the language and forecasts that it could be worth a staggering $655 billion by 2029.
Top Companies Hiring Python Developers
Leading American businesses are actively looking for Python experts, highlighting the industry's rising need. According to LinkedIn, there are presently 15,465 job vacancies for Python developers in the US, with an average of 831 new positions being added each day, according to Glassdoor.
Microsoft, Capital One, Northrop Grumman, Cisco Systems, Verizon, Infosys, Mozilla, IBM, Amazon, and General Motors are a few well-known companies that frequently hire for Python Developer positions. This pattern offers a fantastic chance for aspirant professionals to break into the industry and represents the rising need for Python developers in the nation. According to a job portal, the average base salary of a Python Developer in the United States is an impressive $114,325, which equates to $8,094 per month.
Versatile Skillet of Python Developers
Python Developers are in great demand because of their diverse skill set. While Python fluency is required, additional abilities can open doors to employment. These include proficiency with Git, Django, Docker, Flask, AWS, CI/CD, CSS, DevOps, Agile approach, and knowledge of APIs.
Python Developer Opportunities in 2023
It's interesting to consider whether the need for Python developers will decline as fewer bugs are written in the language. Python is a great language to learn for a variety of job pathways because its demand is unlikely to be impacted. There are several fascinating prospects possible after becoming proficient in Python, including:
Data Engineer: Python is utilized by data engineers to plan, build, and maintain the systems and architectures that deal with big data. They make sure data pipelines are trustworthy, scalable, and effective so that businesses may gain valuable insights from huge datasets.
Full-stack Developer: Python-savvy Full-stack developers may work on the front end and back end of web applications. They manage database management, user interface design, client and server-side programming, making them adaptable and important members of development teams.
DevOps Engineer: Python is frequently used in DevOps procedures for infrastructure provisioning, configuration management, and automation. Python is used by DevOps engineers to simplify processes, improve communication between the development and operations teams, and guarantee the efficient deployment and upkeep of software systems.
Cybersecurity Analyst: Python is crucial for analyzing and safeguarding sensitive data because there is an increasing demand for effective cybersecurity solutions. Building safe systems, putting encryption techniques into practice, and spotting and thwarting potential safety risks are all tasks that Python developers with a knowledge of cybersecurity principles can help with.
Scientific Computing and Research: Researchers and scientists like Python because of its many scientific computing libraries, including NumPy, SciPy, and Pandas. Data analysis, simulations, modeling, and other research operations can be supported by Python coders with experience in scientific computing.