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Our network of Python developers provides comprehensive development services, covering the entire app development lifecycle to optimize costs, boost profitability, and enhance efficiency.
Python application development focuses on creating scalable and efficient applications. We leverage Python's versatility and frameworks like Django and Flask to build custom solutions for web, mobile, and data-driven applications.
Python web development creates robust and scalable web applications using Python. We leverage frameworks like Django and Flask to build custom solutions that cater to your business needs, ensuring high performance and security.
Python API development enhances the functionality of your applications with robust APIs. We use frameworks like Flask and Django to create seamless integrations, ensuring efficient communication and data flow within your systems.
Python data analysis transforms your data into actionable insights. We use Python's powerful libraries like Pandas, NumPy, and SciPy to analyze and visualize data, helping you make informed business decisions based on data-driven insights.
Python machine learning leverages Python's powerful libraries like TensorFlow and PyTorch to build intelligent models. We create custom machine learning solutions for predictive analytics, image recognition, natural language processing, and more.
Custom Python solutions build scalable and efficient applications tailored to your needs. We use Python's versatile capabilities and frameworks like Django and Flask to create custom solutions for web, mobile, and data-driven applications.
Case studies from our vetted Python service providers
Hundreds of the world's leading enterprises and startups partner with Pangea.ai agencies to do more with less.
Building a car booking feature with Skyscanner
Promising better scooter mobility for Bolt's logistics team
Delivering UX/UI delight to HelloFresh, America's #1 meal kit
Building the first-ever mobile app experience for Wise
Why Pangea.ai?
Pangea.ai is the first development agency marketplace — connecting leading agencies with leading startups and enterprises. The platform offers product leaders expedited hiring, superior talent quality, minimized risk, and hyper-curation tailored for specific challenges.
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A Comprehensive Guide to Hiring Python Engineering Teams
Prags Mugunthan is the Co-founder and CEO at Pangea.ai, where he spearheads the evolution of the workplace through pioneering remote and distributed work solutions. Under her leadership, Pangea.ai is committed to creating the leading platform for businesses to hire the top percentile of remote design and engineering talent. Prags' vision for a future where work is remote for talent and distributed for organizations drives the company's strategy, expanding access to exceptional global talent while fostering a more flexible and inclusive work culture.
Prags Mugunthan is the Co-founder and CEO at Pangea.ai, where he spearheads the evolution of the workplace through pioneering remote and distributed work solutions. Under her leadership, Pangea.ai is committed to creating the leading platform for businesses to hire the top percentile of remote design and engineering talent. Prags' vision for a future where work is remote for talent and distributed for organizations drives the company's strategy, expanding access to exceptional global talent while fostering a more flexible and inclusive work culture.
Python has remained one of the world’s most popular and productive programming languages for over the past decade. Easy to learn, highly efficient, and well-appreciated amongst both students and professionals, it’s easy to see how the language has gathered such a large following. Using it recreationally and deploying it into your business, however, are two very different tasks.
This guide and the articles that accompany it will take you through a deep dive into the Python features and functionality that make the language work well for your business.
After helping you to decide whether or not Python is the right tool for the job, we take a look at the frameworks to use that match your requirements and tackle the task of recruiting Python developers to build out your apps.
Starting with hiring and interviewing, we dive into the tips and tricks to get the most out of your recruitment processes. Outlining the initial steps of recruitment, we move on to take a look at the simple management techniques to get the most from your future teams and the role Python will play in the future of your firm.
From simple tips, tricks, and steadfast rules—our guide to hiring Python developers will get you up and running with one of the world’s most productive languages in no time at all.
And if you need help selecting the right Python developers, just tell us what you need. We can do the work for you and connect you with up to 5 companies within 72h that match your needs—all for free.
Pros and Cons of Python Development
The ease at which developers, students, and beginners can pick up Python programming can disguise just how effective the language can be in a professional setting. Python is capable of everything from internal support and tooling to global resource deployment and management. It’s useful for a great many tasks, from machine learning and data analysis to rapid prototyping and application deployment.
However, using Python in each of these roles requires care, attention, and a great deal of thought.
Amongst the advantages of the language are a select few drawbacks that could catch you out. Whether it’s high-speed performance, reliability, or testing, be sure to know what measures you might need to put in place to accommodate potential drawbacks that the language can bring.
The Pros and Cons of Python Development looks at these features in greater detail and includes some tips to help you analyse some of Python’s trickiest pitfalls.
The Ultimate Guide to Python Frameworks
The inherent productivity of the Python language can be boosted even further by using one of the many available frameworks it provides to developers. Python’s web app frameworks, in particular, deliver a lot for its engineers. Python frameworks are uniquely suited to creating applications and services at an exceptional pace.
The things you need to know to take advantage of these benefits are few, but remarkably important. The difference between full-stack, micro, and asynchronous frameworks, for example. A few examples of each, when discussing them with your teams, can help build a much clearer picture. What are the benefits and where are the drawbacks in each option? When should you use one over the other?
Covering the most popular, most productive, most reliable, and best-suited in each category, our ultimate Guide to Python Frameworks takes you through a handful of the frameworks you should consider to move your Python projects forward.
Should You Hire Python Freelancers or an Outsourced Python Team
The choice surrounding when and how to bring developers in to work on your projects is never an easy one to make. Project timing and developer schedules never quite seem to meet at exactly the same place.
A number of questions about the project often remain unresolved until very late in the day. Where will resources go as development wraps up? Will there be enough tasks for every developer? Both freelance developers and outsourced teams have pros and cons that make each worth considering.
A freelancer, for example, is ideally suited to short-term tasks. Brought in at short notice and at lower cost, they can be ideal for cash-strapped companies or those looking to implement small, discrete tasks and solutions.
An outsourced team, in comparison, adds additional experience, safety, and management onto a project. They are typically a more costly option, but one that comes with certain guarantees and security.
Choosing between the two can be done in a very methodical, logical, and verifiable manner. With just a few questions to ask of your firm’s experience, budget, and resources, you can highlight the option that will work best for you moving into the future.
Should You Hire Python Freelancers or an Outsourced Python Team dives into these questions and encourages you to ask them within your business.
Hiring Python Developers—Best Practices & Job Description Template
For all the technical challenges that come with application development, some of the most difficult and time consuming come from the challenges of hiring application developers. Some are solved simply by choosing Python as a development tool; others take more time, resources, and attention.
Python is a language that many developers are eager to work with in a wide range of roles. Both project managers and application engineers relish its highly productive and forward-looking nature and its ability to get more done with less time.
Regardless of the tools being used, hiring application engineers takes careful analysis and insightful questions to get on the right path and make the most of a firm’s available resources.
Our guide takes a close look at the logistics of hiring Python application developers and answers some important questions about how to analyse a candidate’s skills and experience for the role.
Hiring Python Developers even includes a job description template to get you started on recruiting Python developers to fill out your firm. Want even more guidance? Just tell us what you need and we can do the work for you. Within 72h we’ll connect you with up to 5 companies that match your needs—all for free!
How to Interview a Python Developer and What to Look for
Most prospective tech employees will agree that the technical interview is a universally daunting and often arduous process. Few realise, however, that it’s almost as daunting for the interviewer as it is for the candidate!
For the person conducting the interview, it’s their sole opportunity to provide an applicant with a positive impression of the company. It’s a conversation between candidate and management that goes both ways. While the candidate is aiming to provide an accurate picture of their skills and abilities, the company should also be providing an insight that shows why applicants should be willing to invest their time, skills, and talent with the firm.
To achieve all this requires a lot from a comparatively short and technical conversation. It requires careful analysis of a candidate’s skill set, their technical background, and the experience they hold in various libraries and frameworks supported by the language.
Our guide on How to Interview a Python Developer and What to Look For provides a complete primer on effectively interviewing the ideal Python developer and how to identify them from the crowd when you do.
The Do’s and Don’ts of Managing an Outsourced Python Team
Managing an outsourced team—to many—feels like a new and almost alien challenge. With time-zone changes, communication differences, and potentially conflicting working practices, even experienced managers can feel underprepared dealing with remote management. In reality, though, very little about the task is truly new or unique.
In practise, Outsourced team management and ‘conventional’ team management are the same roles. The few differences that do exist, in the tools and resources you use to communicate, are less significant today than they’ve ever been in the past. Most, such as instant messengers and screen-sharing tools, will be in use within most companies already.
The advantages of outsourced teams, however, have never been more significant than they are in application development today.
Additional pace, self-reliance, formalised processes, and project management are amongst the benefits that outsourced teams can bring to a business.
Unlocking these advantages is about following a simple set of guidelines and rules to get the most out of such teams. Most of them are already practised internally too.
Diving deep into these guidelines The Do’s and Don’ts of Managing an Outsourced Python Team contains the best practices you should follow to take advantage of remote teams within your company.
A Glimpse into the Future of Python Development
One of the most remarkable aspects of Python is that it has continued to grow year-on-year for many years in succession. Today, Python is one of the most popular and powerful general-purpose languages available.
Python has remained so strong because, during this time, it has continued to innovate and improve every single year. With one eye on the future, Python has undergone some impressive, bold, and comprehensive changes that have kept it highly relevant in software engineering discussions today.
Taking a look at these changes and what they mean for the future of Python development A Glimpse Into the Future of Python Engineering can keep you on top of the direction the language is taking well into the future!
Onboarding Python Into Your Firm
Despite being around since the early 2000s, Python continues to influence the shape and direction of software development. If it’s not a language already shaping things in your business, perhaps it’s time for Python to play a much larger role.
With some consideration to the advantages and drawbacks, some thoughts about the frameworks to employ and the developers to hire, bringing Python in as a prominent technology for your development teams has never been easier than it is today!
How we select the top Python Developers
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Frequently asked questions
Here are some of the most common questions we get, all ready for you.
How can businesses get in touch with the Pangea.ai team?
Anyone can get in touch with us through the "Contact Us" section on our website by emailing us at [email protected]. Our team is always ready to assist with any questions or concerns.
How is Pangea.ai compensated?
We operate on a success fee model. This means we only earn a percentage from the total project cost that the client and the agency agree upon. There are no hidden costs or additional fees - transparency is key for us.
Who is Pangea.ai not suited for?
Pangea.ai may not be the best fit for businesses, regardless of their size, seeking to procure software development services that adhere to a more localized, centralized, and onsite workforce model. If your preference leans towards traditional HR firms with account executives and constant interaction or agencies who cover every engagement model, tech stack, and domain, our platform may not align with your needs. Similarly, if you view agencies solely as an opportunity for cost arbitrage or tend to select agencies based on a certain bias, Pangea.ai, with its focus on global, merit-based partnerships and specialized talent, might not cater to your preferences.
Who is Pangea.ai best suited for?
Pangea.ai is the go-to platform for businesses of all sizes that aim to harness the benefits of software development services in a global, remote, and distributed workforce. Emphasizing a self-serve marketplace model, we enable you to unlock world-class talent with a few clicks, focusing on boutique, specialized agencies who can bring unique value to your projects. We encourage a partnership mindset, where agencies are seen as equals to your in-house teams, fostering long-term collaborations. We believe in the immense potential of agencies markets for talent arbitrage and stand firm on selecting agencies based on their merit. So, if you're in pursuit of a tech team to build your entire product from scratch or ramp up your hiring with a couple of additional engineers, Pangea.ai is the ideal platform for you.
Why should businesses choose Pangea.ai?
As your reliable partner, Pangea.ai offers a unique method of finding top-notch tech agencies for your needs. We eliminate the guesswork in agency selection by combining AI with expert human analysis to match your project's unique requirements with the right tech partners.
How does Pangea.ai evaluate the Client Experience of an agency?
At Pangea.ai, we evaluate the Client Experience of a agency through a tailored survey dispatched to at least five active clients from the past six months. This survey gauges performance across eight critical aspects: Customer Journey, UI/UX Design, Project Management, Technical Expertise, Quality Assurance, Documentation Level, Business Maturity, and Process Maturity. Each of these segments gets a score, the collective average of which provides the overall Client Score. This evaluation is performed twice annually to ensure up-to-date, accurate representation of the agencies’ performance.
How does Pangea.ai compute the Team Health Score?
The Team Health Score at Pangea.ai is computed using a proprietary algorithm that aggregates and processes the inputs received from our Team Vibe survey. This score reflects the average of the scores obtained in eight crucial segments: Satisfaction, Personal Growth, Peers Rapport, Management Rapport, Culture, Well-being, Feedback & Recognition, and Advocacy. These segments scores are based on employee input and sentiment, offering an insight-driven metric that genuinely reflects the health of an agency.
How does Pangea.ai evaluate Team Health of an agency?
Pangea.ai evaluates the Team Health of an agency using our proprietary product, Team Vibe. This is a survey distributed to each team member of an agency organization, measuring sentiment across eight key segments: Satisfaction, Personal Growth, Peers Rapport, Management Rapport, Culture, Well-being, Feedback & Recognition, and Advocacy. Each segment receives a score which then contributes to an overall Team Health score. A minimum participation rate of 75% is expected from the agency organization; however, our current average participation rate is 83.2%. For continuous and updated evaluations, Team Vibe is administered twice a year to each agency.
What does the onboarding process to Pangea.ai look like?
Onboarding at Pangea.ai follows a three-step process designed to ensure our platform hosts only the best agencies. First, prospective agencies complete a Team Vibe assessment, where they must attain a satisfactory Team Health score with a participation rate of 75% or higher. Second, agencies must provide a minimum of five client references, who then complete the Pangea Client Experience Survey and generate a satisfactory client score. The final step involves the agency completing their profile with data points that are verified through documentation by human experts within the Pangea.ai team. If the agencies' data meets or exceeds the average industry benchmark, they are welcomed to Pangea.ai. Agencies not meeting these benchmarks are given a period to improve before reconsideration.
How do I know that the agencies at Pangea.ai are trustworthy and reliable?
At Pangea.ai, we ensure that all our agencies are trustworthy and reliable through a comprehensive three-step onboarding process that spans over 4-6 weeks. This process involves rigorous verification of agencies' employee and client universes, alongside validation of key metrics and KPIs against industry benchmarks. Our stringent onboarding and listing fee aids in eliminating fraudulent agencies. Given its rigorous and time-consuming nature, this process selectively attracts agencies that align with Pangea.ai's vision and meet our stringent industry benchmarks. Furthermore, our agencies undergo regular evaluations to maintain up-to-date information, thereby discouraging unserious and unhealthy agencies who might not meet the stringent industry benchmarks. Hence, such agencies find it counterproductive to pay and spend time on onboarding while also having to adhere to ongoing evaluations.