Hire Python Developers Worldwide With STARNAVI

Understanding the database basics, practice in the object-relational mapping (ORM), and knowledge of multi-process architecture are essential for a professional who codes in Python. For devs who deal with the server side of the project, the general understanding of the front-end tools is vital since the back-end and the front-end application layers are the parts of one project and work in close connection. For many Python developers, mastery of test automation tools – Selenium, TestComplete – is important as a way to handle everyday tasks.

The skill set for a particular candidate is dictated by the position. When you hire a remote Python developer, it's worth keeping in mind that the lists of desired skills will be different for a data engineer and a front-end developer (although some skills will overlap). Depending on the position, the set of frameworks and libraries a candidate should be knowledgeable at varies. Let's look at some Python "extensions" crucial for back-end development and data analysis (for a candidate, it's a plus if you see these titles in the developer's CV).

Python Back-end Frameworks

Python frameworks are sets of ready-made code packages aiming to accelerate development and reduce time to market. The framework provides a developer with a consistent and easily maintainable by-default structure that is workable throughout the infrastructure planning, development, data transfer, and file execution. The most popular Python frameworks for back-end operations are:

• Django;

• FastAPI;

• Flask;

• Hug;

• Bottle;

• CherryPy;

• Dash;

• Falcon.

Django and Flask are basic tools for a back-end developer since they give a large variety of opportunities: URL routing, support for unit testing, REST support, error detection, in-built web server, and security features. Other frameworks arm a developer with tools needed for strong database management and building a cross-platform web app.

Python Back-end Libraries

The variety of libraries empowers developers to write code at a higher speed by providing pre-written blocks of code:

• Scrapy is a general-purpose crawler; it also allows extracting data using APIs;

• Faker helps bootstrap the databases and create XML documents following tech requirements;

• FastApi is a versatile tool for building APIs.

The more libraries a dev has under his belt, the higher chance he will handle the challenging tasks without delay.

Skills Needed for Data Analysis in Python

One of Python developers’ specialization is data analysis, and the variety of libraries help professionals turn unstructured data to information that can be used for decision-making. Here are a few examples of Python frameworks and libraries for data analysis. These tools make an engineer more skilled in the domains of data science, artificial intelligence, machine learning, and deep learning:

• NumPy provides efficient operations on arrays; it’s the best framework for scientific computing;

• Scikit-Learn provides algorithms for basic operations in machine learning (classification, regression, and clustering);

• Keras helps create and train neural networks in a few lines of code;

• SciPy is a collection of modules for scientific computing.

Other tools for operations in data analysis include Pattern, Shogun, Chainer, Dask, Scrapy, PyTorch, Theano, Natural Language Toolkit, and TensorFlow.

To hire a top Python developer, you can rely on your own resources or outsource a task to a third-party company such as a staffing agency. The latter option will help you optimize staffing costs and find a perfect fit within the shortest deadlines.

If you're inclined to hire by yourself, you can use a list of the best sites to hire Python developers to contact professionals who potentially match your requirements. Consider two groups of online destinations where one can find developers skilled in Python:

• freelance platforms (Upwork, Clutch, TopTal);

• job search sites (Indeed, Monster Jobs);

• social media (Facebook, LinkedIn).

Chances are you will find a developer with relevant expertise – meaning you'll find a CV and conclude that a candidate would become a natural part of your team. Keep in mind that you can decide on a candidate's relevancy only after vetting – a robust procedure of skills assessment. Usually, vetting is a multi-staged and multifaceted process that requires a high level of tech expertise. Consider delegation of vetting to a staffing partner since a group of skilled IT recruiters and senior developers will handle the task quickly and provide reliable results.

One more decision an employer has to make is about the destination, i.e., the region of the search. You can hire either onshore or offshore. To hire offshore Python developers means augmenting a team in the most cost-efficient way. The difference in devs' pay rates in the U.S., Eastern Europe, Asia and Latin America is immense; the precise figures depend on the peculiar region and the expected seniority level. For example, a Python developer's hourly rate in the U.S. is $57, while the one in Ukraine is $9.

To wrap up, while hiring a Python developer for remote work, an employer can benefit from outsourcing the task to a reliable staffing partner and hiring offshore for budget optimization. STARNAVI as a staffing partner, will provide vetting and legal compliance of the relationships between a company and an engineer. We'll handle the full spectrum of BPO services for your project so that you can focus on your core business goals.

The primary reason Python developers are in demand is the versatility of the programming language. In Python, you can build a variety of software products, including ERP and e-commerce platforms, game and blockchain applications, content management platforms and command-line applications. Another reason is the extremely comfortable learning curve. It entails two advantages for companies eager to hire Python app developers:

• The pool of developers is enormous; one can easily find devs with required tech stack, including Python, worldwide. According to Statista, in 2022, there were 15,7 million Python developers in the world. Python’s community was overtaken only by JavaScript.

• Python developers’ pay rate is lower than those in technologies requiring more time and effort to learn. For example, Ruby on Rails, the framework for the programming language Ruby, is more challenging to master. Hence, the hourly rate for RoR developers in the USA falls between $72 and $89, while the Python developer’s hourly rate lies between $39 and $50.

One more reason why companies are interested in Python devs is the language's comparatively easy syntax and readable code. A software product’s owner keeps in mind the need for application maintenance. The easier the programming language, the less time and money one needs to troubleshoot and maintain the software product up-to-date.

Finally, Python’s popularity rests on its close connection with AI/ML technologies. Building complex ML algorithms in Python is easy due to the consistent language structure and a wide range of libraries for big data analysis, data visualization, and modelling. Python is the most preferred programming language for machine learning since its ability for data analysis and searching for patterns through data is intrinsic. Consequently, companies which tend to use AI and ML technologies in their applications – as Netflix, Tinder, and Pinterest do – should hire Python web developers to provide their users with higher levels of security and more personalized recommendations.

If you intend to hire a dedicated Python developer, you will definitely want to use an interview to assess candidates' skills. Thus, you may need some questions you can ask developers to evaluate their level of expertise. Here are some examples (please, note that these questions make sense for interviewing rather junior developers than middle or senior ones):

• Which Python frameworks are your favorite and why?

• What are the most common mistakes developers make while using Python?

• What kinds of applications can you build in Python?

You can use the questions which imply short answers for quick assessment:

• Is Python case-sensitive? (Yes.)

• Is Python an interpreted language? (Yes.)

• What is tuple in Python? (It's a built-in data type used to store multiple items in one variable).

If you’d like to know how to hire a Python developer, STARNAVI's advice is to ask at least a couple of questions about the candidate's mindset and motivation. For example, you can ask a developer about his experience with working under tough deadlines, or you can ask how an engineer deals with negative feedback. Candidate's answers will help you understand if a developer matches your team's culture code and approach to time management.

Let us make one critical remark. One needs solid tech expertise to assess a developer's skill set. That's why staffing agencies use tech interviews as a part of the vetting procedure, and that's why the interviewers are the experts in particular fields with years of practice under their belts. In STARNAVI, to get reliable result, we put only experienced engineers to interviewers positions, and senior candidates are interviewed only by senior developers.

You may want to ask why not use patterns while questioning the candidate since it's less time-consuming. The answer is because every project is unique. And, as long as you want to find the perfect match, you need to adjust the typical questions to the actual project's specific requirements.

One more reason is that some questions don't have the correct answer. The examiner bases the conclusion on the candidate's way of thinking rather than the precise answer. To make such a conclusion, an interviewer has to be a tech expert. Even soft skills assessment needs experience, that's why an interview with an IT recruiter is a part of the vetting process.

Python developer participates in websites and web applications development, data analysis, and creation of services based on AI and ML technologies. The range of software products a Python developer can create is wide, starting from an enterprise web application to a search engine. The reason is the language's versatility. Although it is suited both for front-end and back-end layers of programming, Python is usually considered a language for server-side code. When you hire an experienced Python developer, you augment your team with a professional responsible for building communication between browser, server and database. Back-end developer writes code that makes an application work: provides data flow, and the application responds to the user's actions and requests, such as filling in the form or signing in.

Since Python is a popular tool for data analysis, some developers specialize in using Python for data science. The language allows for making complex calculations and drawing histograms, scatter plots and other kinds of statistics visualizations. If your project deals with data analysis, you may be interested in having a professional skilled in Python as a data science tool in your team.

Another realm of Python developers' expertise is AI and ML technologies. These technologies, based on complex algorithms and Python's simplicity and concise syntax, help developers handle scientific tasks instead of wasting time on syntax nuances. Expertise in Python enables developers to handle AI/ML and deep learning technologies due to a wide range of frameworks and libraries; Keras, TensorFlow, and Scikit-learn in particular. If your application needs voice or face recognition features, or more advanced technologies to boost your app's personalization, you can hire remote Python developers as a way to extend your team's expertise.

The core peculiarity of STARNAVI Python developers is that they completely match the requirements. We follow the client's task in every detail to exceed our partners' expectations. We offer developers we would eagerly hire for our projects. That's how we provide candidate's relevance to the requirements:

• STARNAVI's vetting procedure is objective, well-structured, goal-oriented and based on the solid tech expertise of our senior developers;

• we offer our partners developers skilled at remote work; they all are well-organized and able to stay on top of their schedules; our developers are highly motivated; as a result, an employer doesn't need extra benefits to keep them inspired and productive;

• developer's level of English is enough for clear communication and complete understanding of the tasks – or higher.

If you hire an offshore Python developer and an engineer doesn't meet your expectations, we provide you with a replacement. Within the shortest terms, you will augment your team with an engineer skilled in Python with a proactive mindset and a high level of motivation.