Today, the demand for developers is higher than ever. From start-ups to large companies, everyone wants to work with the best specialists and develop quality products that will bring them both recognition and profit. However, finding the right specialist is not always easy.
Startups are usually short of technical specialists and investors. Meanwhile, larger companies are constantly looking for talent from a narrow pool of highly skilled engineers. Regardless of industry or programming experience, they all need professionals to work with applications, website servers, and backend components. And this is where Python developers can offer their expertise. Who is a Python developer?
With over 8.2 million Python developers in the world, it seems like it should be super easy to find the right one, but it is not. There are many factors to consider when hiring a Python developer, and our article is focused on this process. Let's start with the basics.
Why hire Python developers?
These engineers design, code, and implement applications and websites using Python. Today, it is one of the most popular programming languages in the world.
Companies hire Python programmer to work on AI and ML solutions. In addition to writing code, these specialists test and debug applications to ensure that they work properly. Python developers also help others to successfully implement different types of websites.
The main task of Python developers is to create high-quality and correct code. However, they have much broader responsibilities. Let's take a look at them in more detail:
1. App and website development
These specialists create fast, lightly loaded, and secure web-based software products (for example, Netflix or Instagram platforms).
2. Testing and bug fixing
Python developers provide quality assurance by debugging software components so that they work as intended. Today, there is no Python developer who doesn't know how to run tests using Pytest, PyUnit, and Behave. They also check the code for errors before running it.
3. Developing backend components
Python developers work on all the components that make software applications and website servers work. They make sure that the products are interesting and meet the expectations of users and customers.
4. Close cooperation
Python developers work closely with everyone who is interested in creating high-quality applications. This close collaboration allows them to create user-friendly applications that help businesses achieve their business goals.
Key skills to look for in a Python Developer
Each programming discipline requires Python developers mean combining technical and personal skills (hard & soft) to successfully work on team projects and create code that meets the highest industry standards.
Hard Skills
1. A solid understanding of Python
Working in an in-house team or outsourcing Python development requires a deep understanding of various aspects of this programming language. This includes different data types, structures, debugging, and coding styles.
2. Knowledge of Python frameworks
Developers should be versatile and well-versed in frameworks such as Jango, Flask, NumPy, and CherryPy.
3. In-depth knowledge of front-end development
Although Python coders mostly work on the back-end, they should have good knowledge of the front-end as well. This knowledge allows Python developers to seamlessly combine different aspects of an application. Basic knowledge of JS, CSS, and HTML makes it easier for them to work with front-end developers.
4. Working experience with AI and ML
Having a Python developer with knowledge of these technologies in your project gives you an advantage over your competitors. AI and ML will make applications more efficient and user-friendly, as well as automatically perform various tasks.
Soft Skills
1. Communication skills
A good specialist communicates well with potential employers and colleagues. They don't hesitate to ask questions during the interview to clarify details and get additional information.
2. Time management
Experienced Python developers are good at organizing their time and meeting deadlines. Pay attention to these skills if you want your project to be completed quickly but with high quality.
3. Motivation
The most important characteristic of a professional developer is their readiness to work on projects. They may have different reasons for accepting a job offer, such as working in a different environment, learning new technologies, or advancing their career.
Where to find Python developers?
There are many places where both startups and large companies can find and hire Python programmers to solve their business needs. We have ranked these ideas based on the technical experience required for a successful Python recruiting.
1. GitHub
This place is useful for more technically advanced searchers. Here you can find projects created by open source enthusiasts and professional developers. Browse through Python projects and repositories to hire coders.
2. Online platforms to find coders
Glassdoor, Indeed, and LinkedIn have access to a large pool of Python coders for hire. Create a job description and post it there to draw attention to your needs.
3. Freelance marketplaces
Freelancer and Upwork are great for finding developers. Take your time looking through their portfolios and asking around until you find the best candidates.
4. Outsourcing companies
If you don't have experience in building and managing development teams, you can turn to outsourcing companies to fulfill your Python needs. For example, Patternica can quickly help you find and hire Python experts for specific projects.
Cost of hiring Python Developers
Now that you've interviewed a few worthy candidates, one question remains: how much should you pay them? Different regions offer different price ranges for these specialists. The most cost-effective places to search for best Python developers today are Ukraine (from $2K per month), Poland (from $2.5K per month), Denmark (from $2.6K per month), and India (from $32 per hour).
There are several key factors that determine the final cost of outsourcing Python development in addition to the geographic location.
✅ Competence
✅ Grade
✅ English fluency
✅ Complexity and scale of the project
✅ Terms of the project implementation
On average, the hourly rate for Python developers is between $60 and $100. At Patternica, we offer a more flexible model that allows us to tailor our rates to the needs of our clients. If you're interested, we're available to set up a consultation to work out a proposal that's both satisfactory and affordable.
Hire Freelance Python Developers
Hiring a freelance Python programmer in some cases, this can be the best solution. Let's take a closer look at this.
The best option when you need to:
📌 Minimize or optimize development costs
📌 Increase or decrease your development team
📌 Сover the lack of developers in the local market
📌 Find a developer for a long-term project
📌 Find a developer for short-term tasks, but the level of control should be more transparent compared to freelance models
Hire Dedicated Python Developers
A dedicated Python developer is a developer who is hired to work for a 3rd party company. This person works on your project for 40 hours per week as an In-house developer, but is officially an employee of the provider. In return, you compensate the provider for the development costs.
The best option when you:
📌 Have a limited budget
📌 Don’t need development services regularly
📌 Need a niche professional for specific tasks
📌 Want to find a developer for a small task or a short-term project
Tips and tricks for hiring Python Developer
Everyone has their own unique way of communicating with potential Python developers. We've put together some tips and tricks on what to ask potential candidates to increase your chances to find the right Python coder for hire.
This preparation will give you a better chance of finding the right talent.
For junior Python developers
📌 Explain the role of indentation in Python.
📌 How does garbage collection work in Python?
📌 List some of Python's built-in models.
📌 What is a virtual environment and how do you use it?
📌 Do you know how to debug Python programs?
For senior Python developers
✅ Tell us about your work with async functions in Python.
✅ Describe how you would deal with a memory leak.
✅ The best way to manage and structure a large Python project?
✅ What is the best way to make Python code safe?
✅ Explain the difference between methods and functions in Python.
How to assemble an effective Python development team
In conclusion, we would like to give you a few helpful tips from the Patternica team to make your search more productive and enjoyable. Use them the next time you are in need of finding Python developers for hire quickly.
1. Prioritizing the skills required
It's time-consuming and impractical to check that a Python programmer has ticked all the necessary skills on the list. In the end, if you're in a hurry, focus on the core skills required for a particular project.
2. Ask for references
Don't hesitate to ask your colleagues for recommendations. This is an effective way to find reliable and qualified experts.
3. Set deadlines in advance
Avoid freelancers who can't work to the deadlines you set at the beginning of the project.
4. Use a candidate tracking system
To speed up your search, use automated solutions. It helps to make the process quicker and only retain candidates who meet your requirements.
Advantages of Python for web development
Though intelligent data handling is the decisive factor in favouring Python for Machine Learning, it’s not the only one. Go on learning the other pros below.
Ease of use thanks to clear code
Have you heard about Python’s clarity, straightforward syntax, or easier entry barrier for developers? We can confirm that all of this is true. That’s why this programming language is so widely welcomed!
What does it mean to you, a business owner? Well, you’ll have a broader talent choice when it comes to hiring devoted tech specialists for building your Python ML-based app. Moreover, you’re likely to reduce the time-to-market because of Python’s vast community, extensive documentation, and overall code simplicity. Isn’t it attractive?
Flexible usage on different platforms
Another notorious reason in favour of Python for developing web solutions with AI is its flexibility. This programming language can be used independently or in combination with others. It also gives an opportunity to recompile the source code, which means any changes will be quicker represented on the web version. And, finally, Python can be interchangeably implemented for various platforms, and you won’t be limited to popular Windows, macOS, and Linux.
The cross-platform usage of Python makes it a good fit if transferring processes from one platform to another or running the code on different platforms makes sense to you.
Splendid visualization choices
Hope you carefully read our discussion of Python ML libraries, and now we’ll add a new layer to their importance. Some of these libraries are wonderful tools for data visualization, which is one of the most crucial tasks for AI developers. What’s the value of all that if the data isn’t represented in the perceivable format for human users? That’s it!
With Python, this task becomes easier as you’ve got such excellent instruments as Matplotlib to create histograms, charts, and other visuals for better data comprehension.
Perfect compatibility with APIs
The programming language’s adaptability to APIs is one more determining factor you should keep in mind while selecting the tech stack. In this regard, Python is perfectly suitable for this role, being designed for automating programming routines.
Particularly, you can seek automation by making your web solution run in different OSs simultaneously with relatively minor changes in the source code. Isn’t that a miracle to save your developers’ time so tangibly? Just think… It’s already worth using Python for AI-based projects.
Smart data handling and analytics provided
We’ve already talked about easier data visualization with Python, and now it’s time to cover its data analysis potential. In other words, why Python is loved by researchers, statisticians, and developers? It’s good for data manipulation (collecting, processing, analyzing, sharing, etc.), calculations, and query solving.
What’s more, thanks to diverse APIs and Pandas profiling, you’ll decrease time and effort in preparing clear analytical reports, which will help your business make data-driven, or deliberate, decisions.
And last but not least piece of advice
Contact the Patternica team for help. We'll assist your business with hiring skilled Python developers - quickly and efficiently, with your project's specific needs in mind.
FAQ
Why is Python best for web development?
The great ecosystem of Python ML libraries, clean code, cross-platform usage, and efficient work with large volumes of data are among the key reasons.
What are the key ML libraries and frameworks available in Python?
What was priorly done manually, by human hands, now is done automatically by AI, in higher volume and with fewer efforts. Particularly, Artificial Intelligence using Python has become the crucial solution in the speedy processing and analyzing tonnes of data. And it hadn’t happened without Python ML frameworks.
The collection of libraries, with the pre-written code pieces, is the number one reason why Python has gained immense popularity. With these modules, you can construct your web functionality like puzzles, resulting in the specific actions that will be performed by users.
For your ease, we’ve gathered the most used libraries in the following table:
Saving a lot of developers’ time, each ML library in Python provides effective tools to access, process, and transform data into the required format.
.png)
