Python is a language created for humans: easy to read, simple to implement new features in, and has good support from its community.
In today’s competitive world, one needs to implement new complex features continuously, and there are two ways to do so: to hire too many developers and project managers to ship your software quickly or hire a developer versed in a language like Python.
Option one introduces some problems, such as complex management of the workflow, increased development costs, etc. So, using Python brings onboard many benefits. Even though it’s not the fastest programming language and the hardware cost for it is more than in some other languages, it holds more perks than risks:
It’s fast to implement new functionalities, and a couple of good Python developers can make great software. From a business point of view, a low-cost and fast development process sounds reasonable, and this is where Python really comes to shine.
This explains why Python is the third most popular programming language according to the Stack Overflow report from 2021 (based on the responses of 83.502 respondents) and the number one most wanted technology that developers like working with (with a 19.04% of all responses). Any job board would be full of opportunities for remote Python coders.
Proxify alone boasts more than 300 skilled and vetted freelance Python developers that work remotely and have great English skills and relevant experience in app development, web development, machine learning, data engineering, and other fields.
Python job responsibilities and basic requirements
Python developers can specialize in one or a couple of fields. But it’s always a good idea to focus on only one field and do your best to become perfect in your specialized area. We will explain more about the fields of application in which Python can be used. But, in general, there are the possible job responsibilities of Python developers:
- Using Python in a cross-functional teams
- Write effective and scalable code
- Integrate user-facing elements into applications
- Test programs and debug possible bugs
- Perform reviews and implement improvements
- Build solutions that are easy to understand
As for the requirements, a good Python developer should:
- A sufficient number of years of experience as a Python developer, depending on the seniority level required for the position
- Knowledge of relevant Python frameworks
- Knowledge of ORM (object-relational mapping)
- Knowledge of some relevant front-end technology
- Problem-solving skills
Average salaries for Python developers
National average salaries vary from country to country, but since Python is a popular programming language in software development, both the demand and offer are pretty high.
According to a developer survey, the average Python programmer income in the world in 2021 was $111,899 per year (or $54 per hour). Junior Python developers’ salaries were an average of $80,499 (or $39 per hour), whereas backend Python engineers made around $126,499 per year (or $61 per hour).
Full-stack Python developers earned an average of $128,150 per year (or $62 per hour).
This suggests that an hourly rate for the average Python developer is, on average, roughly $51.96.
So, the base salary is different according to the tech stack of the software engineer, where they are based, and most of all—whether they are entry-level or senior Python developers.
Additional background (data science, artificial intelligence, business intelligence, finance, machine learning, etc.) apart from web development is also likely to result in higher salaries.
Interviewing a Python developer
Python has a huge community, and it is a popular programming language. Learning Python is easy, so most the new developers start their careers with Python, explains our Python developer Arzu Huseynov.
“The latest trends show us there will be more developers who will use Python as a daily programming language. This possibility helps businesses to lower their development costs and easily expand their team.”
So, interviewing a Python developer won’t be a matter of sourcing them but more of finding a diamond in the rough. Here are some interview questions you can use and which technical and non-technical skills you need to pay attention to.
Specific questions depend on the level of experience the candidate has and the position they are applying for. But some general questions Arzu used in his Python experience would be:
- In your opinion, what are the biggest benefits and challenges of using Python?
- What is a dynamically-typed language?
- What is Scope in Python?
- What is PEP 8, and why is it important for you to understand it?
- What is a pass?
- How is memory managed within Python?
- What are the SOLID principles?
- What is Zen of Python?
- Explain the Python software architecture.
- How can you create a class in Python?
Top technical skills to have
The must-have technical skills mostly depend on the field of application. For example, Arzu is a backend developer, and these are the most important tech skills a Python dev specializing in his development environment should have:
- At least one cloud platform (AWS, GCP, or Azure)
- Different kinds of databases (Postgres, MySQL, MongoDB, Redis, etc.)
- Containerization tools (Docker), Linux, and Git all are a must.
When it comes to extra skills a Python developer could have to get that extra skilled status, here are some pros that would make a great hire, according to Arzu:
“It’s a bit of a tough question. But, I believe great Python developers are capable of using Python at its limits. They know pythonic ways of problem-solving and have good experience with TDD. They care about readability, software patterns, and using resources carefully.”
Top non-technical skills to have
Some of the north star qualities you should look for not only in a Python developer but in any full-time employee you want to work with for a longer time are:
- Good communication skills
- Great English
- Social skills
Different expertise for Python developers
Python experts can wear many hats and specialize in multiple fields, from AI and ML through web development to game dev. Depending on your business needs, we can help you find a Python developer with relevant experience.
Python machine learning engineers
To boost your business with machine learning, you don’t necessarily need to integrate expensive feature-loaded ML solutions into your systems. A freelance Python contractor can solve many ML problems using simple tools.
They can help you apply linear regression algorithms for predictions or Bayesian classifiers for filtering documents. They also can build an AI solution for image recognition, text, and data processing. For complex tasks, they can create and train neural networks using APIs for deep learning libraries.
If you need to build a real-time computer vision application, you can hire OpenCV developers who code in Python. Using OpenCV-Python API, they can solve tasks on image processing, video capture, and analysis to build such app features as face detection and object detection.
If you want to prototype, train, and deploy a scalable deep learning model, you can hire Keras developers. Using the Keras Python API wrapping Theano and TensorFlow numerical computation libraries, Python programmers can build a neural network in a few lines of code.
Python data engineers and ETL pipelines
Many Python developers have a good understanding of relational (MySQL, PostgreSQL, MSSQL) and non-relational (MongoDB) databases. They also are experts in algorithms that collect, cleanse, and validate data. Whether you need to build a custom BI tool or a web scraping and aggregation pipeline, a Python programmer will be of help.
Using Pandas, SciPy, NumPy, and other Python data science modules, programmers can create powerful tools for data manipulation and analysis.
You can hire Pandas, Numpy, and SciPy developers to build ETL pipelines that will import data from various file formats, such as JSON, SQL, or Microsoft Excel, and execute various data manipulations such as merging, reshaping, selecting, and cleaning.
Python data engineers have all tools needed to write reliable scripts that integrate multiple data sources and databases into one system.
Moreover, Python engineers are good at visualizing data. They successfully use Matplotlib and Seaborn libraries for plotting graphs. For advanced interactive visualization of 3-D data, they can use the Mayavi app. Those tools make creating beautiful custom charts simple.
Python programmers and DevOps
Python experts can help you improve your team’s development lifecycle. They know how to write reliable scripts to automate your CI/CD pipelines and orchestrate your infrastructure. Those scripts are platform-independent and usually work well with version control systems, configuration management tools, and automation testing frameworks.
Developers building APIs with Python
If you have a bunch of services on the backend of your web application, a Python web developer can help you orchestrate them. Python is a good language for creating highly scalable APIs and gluing pieces of software into great microservice architecture.
The PyTest framework allows writing effective unit and functional tests for Python API and helps developers ensure flawless operation of your app. In this view, engaging a Python programmer in your next API interaction project would be a smart decision.
Python web backend development
Python web developers are good at building web services. For fast development, they have several Python web frameworks at hand. For example, they would use Django for sophisticated, multi-layer, full-stack apps or Flask for building small and simple projects.
Python engineers building desktop apps
You can ask a Python engineer to build a desktop application for you. They’ll choose the right GUI framework for the platform you target. Apart from Python’s standard GUI library Tkinter, there are a couple dozen cross-platform and platform-specific GUI toolkits, such as PyGUI, wxWidgets, Kivy, PYQT, etc.
Python game developers
Using PySoy and PyGame libraries with popular game engines, Python developers can create a game prototype within a few days. Or they can build a production-grade game for you. Such popular games as Battlefield 2, Frets on Fire, and World of Tanks, for example, were written in Python.
Talented Python developers available now
Full-stack Python Master
Michael has been mastering the world of Python for 8 years. He is developing and maintaining the complex software solutions for the clients from the various industries su...
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Senior Python developer with strong database background and more than 5 years of experience in building back-end services and API on a general web framework (Django, Dja...
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Compatible languages and frameworks with Python
There are plenty of Python frameworks that are in common use, such as Django, Flask, Dash, Falcon, web2py, etc. But since it is a portable language, you don’t need to code things from scratch if you are transferring your code to a different language or platform.
Benefits of Python
There are plenty of advantages to learning and using Python.
For companies pondering whether to hire Python developers: it’s main advantage is it is a general-purpose language. You can employ it in anything: machine learning, data science, finance, etc. It is also easy to learn, which explains the large number of highly skilled Python developers.
It is also good for increasing productivity, as it is very simplistic.
It is a dynamically typed and interpreted language, so it directly executes the code and assigns the data type.
It has a rich standard library, it is completely free and open-source, and it can be transferred to many different languages easily.
Will Python continue to be widely applicable?
As we already established, Python is an excellent programming language for those who are new to programming. It is a simple and easy-to-learn programming language. It also aids in the comprehension of object-oriented programming's fundamental notions.
Python is the greatest approach to get started for anyone, even those with no prior expertise with programming or coding languages, especially those interested in data science, artificial intelligence, machine learning, and other related subjects.
Python is a platform-independent programming language with a wide range of capabilities. It offers a straightforward method that allows anyone to participate in the language. Python can also import modules written in other programming languages.