Hire Python Developers

Python as a programming language is growing rapidly every year, and this brings more developers to the ecosystem. Being a general-purpose language, it can be used for practically many things without changing much of its operations. 

Python developers are available in plenty, and every company requires different skills for their teams. If you are in the market to hire python developers who are experts in their domain, you should not overlook the below skills.

1. Problem-Solving

Problem-solving is one of the primary skills you should look at when you hire Python developer. If a developer does not have problem-solving skills, they will not be able to write good code, nor will he be able to solve complex algorithmic problems on their own.

2. Async Programming

If you are looking to build applications that provide superior performance, you need to look into async programming. Your Python developers should understand async programming concepts and be able to implement it in case you need better-performing Python applications. 

3. Scripting and Automation

You should try to automate repetitive tasks using Python’s scripting capabilities. When interviewing developers, try to evaluate their scripting projects and how they approach automation ideas. 

4. REST API Development

If you are looking to build web apps, you should interview developers with REST API development experience. These APIs are the simplest ways to communicate between clients and servers, and they provide easy data transfer capabilities. 

5. Frontend Technologies

As you hire Python programmer, they will work on the backend codebase, but it is even better that they have some experience with frontend technologies. You should hire Python developers who have worked with popular frontend frameworks like React and Angular in the front end. 

6. Unit Testing and Debugging

Testing and debugging are important skills in developing robust production applications. Your developers should be able to debug applications using debuggers, and they should be capable of writing unit and integration tests for their code.

7. Version Control Systems

When working with teams, many people will make changes to the codebase simultaneously, which is why experience with version control systems is important. These systems allow developers to track their work, and merge them to the main branches without affecting other’s changes. 

8. Object Oriented Programming

Hire Python developers who have an in-depth understanding of Object-oriented Programming concepts like classes, polymorphism, inheritance, etc. Moreover, they should also know common design patterns for the use of OOP. 

9. Knowledge of Databases

Every application uses databases in some form, and it is important that you hire developers with knowledge of databases. It will help them query and manipulate data easily, and they can also create better database designs to improve performance. 

10. Knowledge of Different Programming Languages

Even though the candidate is an expert in Python, you should check if they have knowledge about other programming languages or not. This is an important skill, as you can move from Python to some other language in the future, and the developer should be able to keep up with requirements.

11. Knowledge of AI, ML

Today, Artificial Intelligence and Machine Learning are used everywhere, and Python is the backbone of AI and ML. When you look to hire dedicated Python developer, check out if they know the basics of AI/ML so that you can also utilize their skills to build futuristic products. 

12. Understanding of Data Structures

Understanding data structures is important as it helps you find the right type of data structure for every task. Interview your candidates with some data structure questions to better ascertain their understanding of this domain. 

13. Understanding of Data Science

Almost every Python developer is familiar with data science libraries like pandas, NumPy, matplotlib, scikit, etc. You should look to hire offshore Python developers with an understanding of data science tools so that they can help you utilize your data to make better decisions. 

14. Expertise In Python

This is the primary skill you should look at, in any candidate. They should be expert with Python and some common frameworks in the ecosystem. If they aren’t well-versed with the different features of Python and its frameworks, they may not be able to build awesome applications.

15. ORM Knowledge

Object Relational Mappers help developers connect with databases and streamline data manipulation and access. As a developer working on any application, this is a highly important skill; you should not overlook this.

16. Security Best Practices

Writing secure code is highly important, which is why your developers should understand security best practices and common vulnerabilities in the libraries being used. They should also know how to keep systems secure from hackers. 

17. Code Optimization

Code optimization is not easy, but once you start, it can save a lot of effort and cost to make a web app using Python. When you hire dedicated Python developers, you should check whether your developers have code optimization skills and can convert complex code to simpler algorithms. 

18. Cloud

Today, every company uses the cloud to deploy infrastructure, and you should not miss out on this due to your developer’s lack of skills. Hire Python developers in India with cloud skills who can manage infrastructure on cloud platforms and reduce costs through the Cloud cost optimization resources. 

19. DevOps

DevOps Solutions helps engineers shorten the development and deployment cycle of their apps. You should look for Python developers who have experience with DevOps tools like Jenkins, Terraform, Ansible, etc. 

20. Web Scraping

Web scraping helps you gather data from websites, and this can be done using Python. You can use libraries like BeautifulSoup to scrape websites and get your desired data. Though this is not a big skill, it is nice to have such expertise. 

21. Microservice Architecture

Microservices Development help in breaking down complex systems into independent smaller services. This way, you don’t have a single point of failure. If you are building new applications, it is important that your engineers understand microservice architecture and they are capable of developing new architecture plans for the same. 

22. Attention to Detail

The Python developer for hire should be able to spot mistakes easily and fix them quickly. This is a great skill to have, as it can save your products from breaking. 

23. Flexibility

Python developers for hire should be flexible and willing to adapt to new changes in project requirements, technologies, timing, etc. Having flexibility ensures that they can find a way to steer away from issues quickly.

24. Collaboration

Hire Python developer who can collaborate and work with your teams without facing any issues. Collaboration is an important skill in developers, and it helps them overcome issues faster and even helps teammates in their work. 

25. Soft Skills

A Python developer will not just write code all day. Hence, it is important that they have better soft skills. This ensures that they can convey their technical work to others easily and communicate clearly with everyone on the team.

Though your hiring process will have technical interview rounds, it should also consist of discussion rounds where you meet the candidates and get to know them better. During this stage, you can try asking them more questions that provide you clarity on their experience and technical prowess. 

Below, we have compiled a list of questions that our hiring managers like to ask Python developers for hire. This helps us understand the candidates better and make the right hiring decision, even when there are a large number of candidates.

1. What is a decorator in Python?

A decorator is a function that wraps another function. Decorators are used in Python to provide additional functionalities to a function without affecting its primary role. These wrapper functions can be used to create loggers, initiate database connections, and other such items that can help the wrapped function perform its operations.

2. What is the difference between Python 3 and Python 2?

Python 3 is the latest version of Python, and it isn’t backward compatible with Python 2. There are many significant changes in this version, and as it is the latest version, it provides better support, more frequent releases, and security updates. 

3. How are dependencies managed in Python?

In Python projects, dependencies are managed using Pip Manager. It is the basic dependency and package management tool for Python, and you can run it from the command line to add or delete dependencies in your projects. 

4. What is Global Interpreter Lock?

Global interpreter lock is a mutex that allows a single thread to have complete control over the Python interpreter. This lock restricts platform native threads from executing Python bytecode simultaneously.

5. Is inheritance allowed in Python? How does it work?

Yes, inheritance is allowed in Python. You can create a sub-class from a single parent class and inherit all attributes and methods of the parent class. Moreover, the inherited class can also contain new methods and behaviors.

6. How to choose between a list, tuple, and set in Python?

To choose between a list, tuple, and set, I first understand the need of the code I am writing. If the code needs an ordered list of elements with duplicate elements, a list is a better option. Sets can be used when order is not important, but you need unique items only. 

7. How do you debug a Python application that is facing performance issues?

There can be many reasons for a Python application to be slow, and I will first profile it to understand the bottlenecks. Once I have the profiling results, I will try to modify the bottleneck code and slow areas in the algorithm. 

8. How do you handle code reviews from teammates?

Code reviews with peers are important to write the best code. I always try to set up some time with teammates upon completing my features and let them review the code independently. This provides me with a different perspective on my code, and I can make improvements. 

9. Why do you like Python?

Python is a general-purpose language, and you can accomplish many things using the language. I like Python because it helps me develop features faster and much more easily than in other languages. Moreover, it can be used in various domains, which provides a wider career path. 

10. How do you tackle challenges?

Challenges are an everyday thing when it comes to Python development. I try to understand the root cause of items, why they are occurring, and how they are occurring to devise a solution that checks all marks and provides a fix to the issue. 

11. What do you do to stay updated on newer things happening in the Python ecosystem?

I subscribe to newsletters, participate in community discussions, and attend Python community events to stay updated on new things happening in the ecosystem. This also helps me understand the wider use cases of Python.

12. When there are multiple tasks with similar priorities, how do you handle them?

Every day, there are various tasks with similar priorities when you are working on Python development projects, and it is important to handle them effectively. I use tools like Jira and Decision Matrix to find the tasks that are most urgent and important. 

13. How to manage memory in Python?

Python comes with a smart garbage collector, which makes managing memory easier, and developers don’t have to do much. However, I always try to write efficient code that uses the least memory to get the work done efficiently.

14. What is your checklist for writing reusable and maintainable Python code?

I follow PEP 8 standards, and other best practices in writing my code so it is easy to reuse the same code again. Moreover, by following the best practices, my code is much more maintainable, and other team members can easily work with it. 

15. How do you handle exceptions in Python scripts?

I use Python’s built-in error-handling try-except blocks to handle exceptions in Python scripts. Moreover, I also use finally blocks to perform cleanups in the code to free up unnecessary resources. 

16. How do you scale your Python apps?

To scale Python applications, I use caching mechanisms to prevent database overload and write efficient algorithms that can perform tasks faster. 

17. How do you handle changing project requirements?

I stay flexible to changing project requirements as we move forward in the software development process. Moreover, I also assess the new requirements and commit accordingly to the timelines to ensure we can deliver quality products. 

18. How do you test Python code?

Testing Python code is pretty easy, and we can use unittest, pytest, or nose libraries to write unit tests for our code. Moreover, we can also run integration tests in deployment pipelines to ensure the deployments are error-free.