Python is arguably one of the fastest growing programming languages. Developed in 1991, it has become a most welcomed language by both beginners and expert programmers. While the language has a fairly easy syntax, it can be used in complex applications such as web development, networking, cybersecurity, etc. If you are looking to get started with programming, the first question to answer would be programming language to learn. Python is one of the great options, and that is because of its diverse career opportunities. But what is its future like? Let’s begin by accessing some of the job positions you can fit into by learning Python.
Job Opportunities in Python
Check out the job opportunities in python below
1. Software developer
Software development can be seen as the crux of any tech company. Python can be used for software development, and with the number of frameworks out there, it is easy to use. Big companies such as NASA, Instagram, Netflix, and so on use Python. As a software developer, you would be involved in
- Designing and developing software.
- Testing and improving the software for better performance.
- Writing and improving codes
- Identifying and eliminating bugs in the code
- Working closing with other developers as well as the end-users.
Some Python frameworks that can come in handy are Django and Flask. You may also be using libraries such as PyTest, Selenium, Request, PyQT, Apache Spark, etc.
2. Game developer
Python can also be used for game development. As a game developer, you will translate game ideas into actual codes which can be implemented in a fast-paced environment. You will be working with the other team working on audio, design, visual arts, and production. There are a lot of games that use Python actively. For instance, Battlefield uses Python for all its add-ons. Other games include Civilization IV, Toontown Online, Doki Doki, Bridge Commander, and many others.
3. DevOps Engineer
DevOps Engineers works with both the IT staff and developers to see the versions of the software are deployed seamlessly. Here’s the thing. It’s one thing to develop software on your local machine, and it is yet another thing to deploy to the web. It would involve intricacies such as creating dockers, containers, VMs that would handle scalability well. This is primarily the responsibility of a DevOps Engineer. DevOps Engineers are usually paid handsomely, with their average salary at $101,497 per year.
4. Data Scientist/Machine Learning Engineer.
With the rise of Artificial Intelligence applications, the need for Data Scientists and Machine Learning Engineers is ever-growing. A data scientist is tasked with distilling useful insights from structured or unstructured data. The title is fast becoming a gold mine, especially when the amount of data generated increases every passing data, many of which go unused. Companies are seeing the impact making data-informed decisions can have on their growth. Python libraries such as Numpy, Pandas, SciPy, Matplotlib, etc., come in handy for data science/analysis.
On the other hand, Machine Learning Engineers train a machine on some data to perform a given task. ‘Data’ is a keyword here. And that’s because there cannot be machine learning without data. For instance, an application that would perform email classification would be trained on many email classification data.
Python has grown to become the top language for building machine learning models. Models such as sci-kit-learn, Pytorch, Tensorflow, Keras, etc., make model-building easier.
What is the future of Python Developers?
Given the many job opportunities in Python, it is a no-brainer that the language will remain relevant for years to come. On top of that, its community is ever-growing which by extension means that many more products will be Python-based. If you wish to learn Programming, you really cannot go wrong with Python. I would suggest you find solid Python online training and enroll.