Many times, people have seen Python as a language for programming but not necessarily as a language for building real stuff. They see Python as an end and not as a means to an end. While may have some iota of truth, Python can be used as a standalone language in many organizations. You can get into job roles by learning Python alone. Why is that? You may ask. It is because the language is rounded enough as well as flexible to have many use cases.
In this article, we will discuss the kind of jobs you can fill in, after learning Python in 2022. By the end of the article, you would be able to make an informed decision as to whether you should go ahead to learn Python or some other programming language. Meanwhile, you can become proficient at Python by getting an online Python course certification.
So let’s dive into it.
Before we talk about the kind of jobs you can take as a Python developer, let us understand what a Python developer is and their responsibilities.
Who is a Python Developer and what does he do?
A Python developer is someone that simply programs in Python. He is responsible for designing, coding, and building projects using the Python programming language. As a Python developer, your work may vary based on the kind of organization you are working for. However, you will mostly be writing codes, designing new products, building tools needed to automate generic processes, develop websites, create web services, develop the server-side of applications, and so on.
You can also be involved in the analysis of data in a bid to help answer unique business problems.
As a Python developer, the niche of the company you work for can vary. You can work in the educational sector, technological sector, healthcare sector, agricultural section, and so on. The list is absolutely endless. With how every company wants to have some form of tech expert in their team, a Python program could virtually work in any company.
Some of the popular big companies that employ Python developers include Instagram, Google, Netflix, Amazon, Reddit, YouTube, Spotify, and so on.
Why does Python have a Diverse Use Case?
As earlier mentioned, a Python developer can wear different hats depending on the job role. Before we get into the kind of jobs a Python developer can do, let’s understand why there is so much diversity with Python.
First, Python is an open-source language with a lot of libraries. Developers constantly work on ensuring the language can be used for different purposes, either as inbuilt libraries or third-party applications.
For instance, if you want to get into software development, you can learn how to use Django and Flask. If you want to learn Machine Learning, Keras, Tensorflow or Pytorch do the trick. Pandas and Numpy can be used for data analytics, PyGame is used for building games. The list goes on and on.
Amidst the many job roles, however, Python programming skills remain a high-paying skill. According to Indeed, a Python developer makes an average of $113,600 per year.
What Jobs can a Python Developer do?
- Web Developer
This is perhaps the first and primary use case of a programming language. You can work as a Python developer either as a frontend developer or backend developer. If you master both, you can work as a full stack developer. You could also work to update and maintain an already created website. In this role, you’d be working in a team to discover features that need to be added or removed, web pages that are no longer working and contents that need to be updated.
- Data Analyst
As a Data Analyst, you would be working with numbers. The goal is to discover patterns from historical data and make an informed decision based on past experiences. You would also have a measurable metric to determine how well the code performed. By and large, you’d be creating visuzlations with strong storytelling to communicate your findings to the team and other stakeholders.
- Machine Learning Engineer/Data Scientist
As a Data Scientist, you’d go beyond descriptive analysis to make future predictions based on past results. The models for making these predictions are called machine learning models. Machine learning requires a higher understanding of programming and roles are usually high-paying. If you are fascinated about artificial intelligence, you may consider learning machine learning.
- Automation testing
The software development life cycle is incomplete without testing. Fortunately, you can write automated test cases with Python. A common tool for automation testing with Python is Selenium. Automation testing roles are fast increasing as manual testing is beginning to be phased out across the board. If you are looking to begin a career in software testing, there is no better time than now.
In this article, we have given you a high level understanding of what Python programmers do in the workplace and the kind of roles they can fit in. If you want to learn Python, you should consider enrolling in a Python online course to get started.