Hire Python developers remotely within 3-5 days

Python is a programming language known, probably, to any person related to the IT industry. Released back in 1991, this tool for general-purpose programming quickly became useful in many projects. From web and mobile development to scientific computing and business analytical tools, this programming language is applicable to almost any task. Brands like Google, Pinterest, Facebook, and YouTube operate Python-based software. No wonder businesses strive to hire Python developers. 

Simple statistics show that Python scores pretty high in the top of most used programming languages, with more than 48% of software developers using it worldwide. Let’s find out what benefits the best python programmers may bring to your startup and how to get qualified ones. 

Why Hire Python Programmers for Your Startups 

It’s common for new business to struggle to decide on their tech stack. 

High-Level and Easy-To-Use — Good for Prototyping

What most Python software developers love about Python is that it’s a programming language with a short learning curve that applies the simplicity and efficiency of high-level code to many development challenges. Python presents a concise way to create complex challenges with its simple syntax and multitude of 3rd-party packages and libraries, — so Python developers work fast. 

What it means for startups is that Python contractors may fulfill your business’s technical requirements faster, too. The abundance of out-of-the-box tools available for integration with Python and the construction of the language itself that’s made to be straightforward, laconic, and fast to utilize make Python a great tool for back end development, building prototypes, and fully-fledged web solutions. 

In fact, Python is one of the most wanted technologies of 2022, most Python developers use the language to build websites, and its Django framework is the second most popular tool for building server-side infrastructure. So, it’s a pretty reliable technology for a startup. 

Python Is Versatile: Python Coders Can Complete Almost All Backend Tasks 

Python, as we’ve already mentioned, is a language for server-side development. There are popular back-end frameworks written in Python: MVC, Flask, Django, FastAPI, and others. 

With these and additional third-party tools, Python programmers for hire can handle almost any back-end task, regardless of your industry. 

Python Is One of the Best Tools for Machine Learning

Python programmers are often proficient in building machine learning algorithms, solutions rooted in data analysis and science, and AI. The language is extremely efficient for getting to run all this complex stuff in the production environment. For instance, if you were to integrate a forecasting algorithm into your travel or healthcare solution, Python developers for hire would help you with that the most. 

Python also can interface with C++: a Python application developer can use the language as a wrapper for C/C++ algorithms. That tremendously helps in building machine learning solutions and libraries for deep learning implementation, which is why the majority of the latter is written in Python. Not to mention the vast array of third-party tools for building AI and ML solutions with Python that also expedite the development a lot. 

Great for InfoSec Projects & DevOps Work 

Finally, a Python developer freelancer would be able to work within Information security (InfoSec) projects — for one, writing tools for testing databases for protection against intrusions. Python wasn’t designed for this purpose, but its structured and readable scripts greatly assist standardization and transparency in cybersecurity and streamline it. 

Continuous Integration (CI) and Continuous Delivery (CD) processes will also benefit from finding Python developers for hire working as DevOps specialists within software development projects. Python programming language and code that’s written in it can be easily integrated with the number of CI/CD tools available on the market: Jenkins, Bamboo, TeamCity, and GitLab are only a few examples of such Python-compatible tools. 

Tech Stack Python Developers Should Be Able to Handle 

If you think Python development will suit your needs, let’s talk about the tech stack Python coders in various industries master. 

Python Software Developers in Deep Learning & AI Projects

These tools are used to back up techniques used to teach artificial neural networks to do what comes naturally to human beings:

There are a variety of other frameworks, platforms, and tools for deep learning and AI projects that run on Python. 

Python Freelancers in Machine Learning Projects 

Let’s proceed with checking on ML-focused toolkits:

• Scikit-learn. An open-source Python ML library. Designed for production use and built on SciPy, NumPy, and Matplotlib, it can be effectively used for predictive data analysis and other algorithms. Spotify and Booking.com study Scikit-learn for product recommendations and customer service. 
• NumPy. A Python library used for working with multidimensional data calculations, mathematical functions, Fourier transforms, etc. It brings the computation power of languages like C and Fortran to Python.  
• NLTK. A platform for Python’s tool for building apps working with Natural Language Processing (NLP).

Of course, the applications for each of the tools listed above go beyond ML-based development. 

Python Coders in Data Analytics and Visualization Projects 

Here are several data analytics and data visualization-centered tools:

• Pandas. A powerful open-source library used for data analysis and manipulation, modeling, and other data science operations. 
• Matplotlib. A Python-based library designed for creating static, animated, and interactive 2D visualization of machine learning data.
• Seaborn, ggplot2 packages. More libraries that help data visualization. 

Data visualization toolkits have gained popularity over the past few years, so the chances of hiring freelance programming Python devs with substantial experience with them are pretty good. 

Python Developers in DevOps Projects 

Here are the common toolkit options for DevOps tasks:

• Ansible. An open-source tool that’s regarded as the simplest way to automate processes within configuration management. 
• Buildbot. A powerful job scheduling system. With its capabilities to queue jobs as per Python configuration scripts, Buildbot is mainly intended for CI applications. 

CI/CD tools may heavily help maintenance, so they are not to neglect. 

Python Programmers in Web Development in General 

Finally, let’s review frameworks for web-based development:

• Django, Pyramid, Flask, or other web frameworks. Such software solutions come in handy for building web APIs, constructing architectural patterns, scaling small apps into bigger platforms, and more.
• Tools like CherryPy. Object-oriented frameworks like this one are designed for the rapid development of web-based applications. 

Often, the usage of these toolkits overlap each other, depending on the project. Programmers may know some of the listed tools, but it’s okay if they don’t know all of them. It’s advisable to hire Python developers with suitable expertise based on a project’s requirements. 

Python Freelancers’ Responsibilities & Interview Questions

Should a company intend to hire freelance Python developers, they need to know where to search for applicants and what questions to ask to validate their expertise. Let’s take a look at responsibilities that devs of different levels may fulfill and questions to ask them during job interviews. 

Junior Python Developers 

Junior Python contractors are entry-level specialists with about six months to two years of experience. They may handle some routine tasks under the supervision of more experienced colleagues. They may be responsible for writing clear Python code and implementing simple features, writing test cases, checking Python code, refactoring code, identifying and fixing code errors, and more.

Interview Questions for Junior Python Coders

What is a namespace?

It’s a specific naming system used in Python. It works much like a Python dictionary and helps to avoid name duplicates and contains keys with object names and their value. 

What are Python modules?

These are files containing executable code. With them, Python developers can break pieces of code into smaller chunks, increasing readability. These chunks can also be executed within other Python programs.

Mid-Level Python Developers 

Mid-level programmers usually have 2–4 years of experience with Python. Their responsibilities include all listed above plus developing complex back-end components, integrating and connecting APIs, improving the functionality of legacy systems, implementing data protection solutions, and more. 

Interview Questions for Mid-Level Python Coders

Why are Python apps often slower than apps in C++/Java? 

Because, for instance, Python code is being interpreted at runtime, meaning each line of code is being processed one by one as opposed to being compiled to machine code in one piece. That’s good for debugging but not as good for performance. This, dynamic semantic, and lack of multithreading makes the code easier to write, test, and maintain, but draws on the speed of the app. In other words, Python compromises and picks development speed instead of superfast software, and that’s a significant advantage — as a programming language, Python leads as the most used backend technology.  

What tools can be used to make Python code interoperable? 

Python Virtual Machine can “translate” Python code into code that’s understood by the CPU that runs the program on macOS, Linux, or Windows. There are also multiple transpilers from Python to other backend languages, which helps Python developers, for instance, write a complex machine learning algorithm in Python and then “translate” it into the environment of a language with better performance than Python software can achieve (Java, Go, etc.). 

Senior Python Developers 

Senior programmers are usually experts with more than four years of experience with Python. They don’t require much supervision. On the contrary, they may mentor Python programmers with less experience. Responsibilities of experienced Python developers may include helping with the design and functional requirements, building web servers and connecting to them, designing ML algorithms, and more. 

Interview Questions for Senior Python Coders

What are your favorite Python frameworks and why? 

Here, the answers of Python developers you’ll interview will differ, so it’s a good idea to look for good, business-oriented justification for preferring this or that framework — or even do a breakdown of using different frameworks for different use cases. For example, the candidate may say they enjoy working with Django because it’s fast and built for lighting-speed prototyping — but if the project requires a lot of API integration, they’d pick Flask which provides support for them. 

How can you overcome the limitations of the lack of multithreading in Python? 

There is a package called multiprocessing that introduces spawning processes through an API while single threading. This package lets developers introduce parallelizing into the code — which Python uses to utilize the capacity of new CPUs for higher app performance. It also comes with a lot of memory consumption, though — the next issue that needs to be dealt with. So, solving challenges inherent to Python comes with compromises — as with any other technology — and a good senior developer would be able to find compromises that suit your business goals. Have a project for Python developers? Contact Expert Remote and we’ll help you find the ones who will fit your product and business.