NextAge developer coding in Python

Company specialized in Python

Python development teams managed by NextAge, with software outsourcing experience since 2007. Ideal for companies that need to scale products with control over deadlines and quality.

+19 years of experience
+600 companies served
+150 professionals
+13 countries

What does a Python development company deliver?

See the types of projects NextAge delivers with a dedicated squad, fixed scope and guaranteed SLA. Understand when Python is the most solid technical choice for your roadmap.

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NextAge Python specialist
Artificial Intelligence and Machine Learning

Python is the market's reference language for building AI models, from prototype to production. NextAge structures training pipelines, integrates language models into existing systems and builds AI solutions applied to real business processes.

Technologies: PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, OpenAI API, Pandas, NumPy

Data engineering and processing

Python dominates the data ecosystem as the foundation of ETL pipelines, analysis and integration between storage systems. NextAge builds robust, scalable data flows ready to feed strategic decisions and analytical models.

Technologies: Pandas, Apache Airflow, Apache Spark, PySpark, Apache Kafka, dbt

Back-end and API development

Python offers mature frameworks for high-performance back-ends and RESTful or asynchronous APIs. NextAge designs scalable architectures for web applications and system integrations, with robust authentication and complete documentation for every endpoint.

Technologies: Django, FastAPI, Flask, Django REST Framework, PostgreSQL, Redis, OAuth2/JWT

Process automation (RPA and scripts)

Python is the most widely used language for automating operational tasks, integrating systems with no available API and eliminating repetitive manual processes. NextAge builds bots and scripts that reduce human error and free teams up for strategic work.

Technologies: Selenium, BeautifulSoup, Playwright, PyAutoGUI, APScheduler, Celery

Data Science and Analytics

Python brings together the market's leading libraries for statistical analysis, data visualization and predictive modeling. NextAge turns raw data into dashboards, reports and models that support business decisions based on evidence, not intuition.

Technologies: Pandas, NumPy, Jupyter, Matplotlib/Seaborn, Plotly, Streamlit

Legacy system modernization

Outdated Python systems, including codebases still on Python 2, can be migrated to modern versions and architectures without interrupting operations. NextAge handles version upgrades, incremental refactoring and migration of obsolete frameworks with controlled risk.

Technologies: Python 2 → 3 migration, Docker containerization, cloud migration, incremental refactoring

… and whatever else it takes for your digital transformation to happen now.

NextAge + Python solutions

Proprietary methodologies and specialized services to maximize results in your Python projects

Staff Augmentation

Allocation of specialist Python teams. Unlike the traditional model, you get senior developers, Python architects, tech leads and QAs focused on automated testing, all managed by us. We guarantee continuous code review and consistent architecture standards in every delivery.

Choose it to scale Python teams without the risks of traditional staffing

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NextAge specialist ready to talk about your Python project

Get the best Python developers on your project

Hundreds of Python projects delivered

We have a solid Python portfolio. Everything you need for software at the highest technical and strategic level.

Mockup of the data platform built for Inobram
Inobram

Brazilian company specialized in automation and technology solutions for animal production farms. NextAge built, in Python, a platform to automate the reading of operational data from poultry and swine farms, making the information available through APIs and a web system for faster decision-making and lower operating costs.

Services: Staff Augmentation

Want results like these in your company?

What sets our Python developers apart?

→ The differentials that made NextAge the number 1 choice of market leaders

Validated professionals

Our team is rigorously trained and validated before joining the project. You work with professionals who have already solved complex problems similar to yours.

Learning curve

Unlike traditional staffing, our teams are actively managed by us. Tech leads monitor developer performance and alignment with your goals, accelerating the learning curve.

Quality and testing culture

AI-powered automated testing, code review and CI/CD are part of our DNA. We deliver tested, production-ready code, reducing bugs and rework.

More agility

We adopt truly agile methodologies. Well-planned sprints, incremental deliveries and transparent communication. You follow progress in real time.

Knowledge as a foundation

Our Python developers also have experience with databases (PostgreSQL, MongoDB, Redis), cloud (AWS, Azure), DevOps and front-end integration (React, Angular, Vue.js). A complete view of the ecosystem.

Cultural alignment

Our teams understand the context and culture of companies. Clear communication, productive meetings and natural alignment with technical and business stakeholders.

// ABOUT
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Why NextAge?

Learn our story →

Founded in 2007, NextAge was born to make software development more disruptive, human, and effective.

Innovation has always been at our core. We revolutionized the technology market with Staff Augmentation, our exclusive methodology that brings up to 40% more productivity to teams.

And we didn't stop there! We went further with NextFlow AI, a new way of developing that combines AI and human expertise in every line of code.

Today, we are the partner that transforms complexity into clarity and accelerates your operation with the best talent.

NextAge office

Learn more

Want to understand more about how NextAge can help your business? Explore articles from our blog, testimonials from our clients and our other services to carry out your digital transformation in the best way.

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Questions and answers

What kind of project is Python the best technical choice for?
Python is recommended for projects involving artificial intelligence, machine learning, process automation, data engineering and back-ends that need fast development with simple maintenance. The language is also a solid choice for MVPs and products that require agile iteration, thanks to its mature ecosystem of libraries and frameworks.
What is the difference between hiring a Python freelancer and outsourcing to a specialized company?
A freelancer delivers one-off technical capacity, but the client takes on the risk of management, continuity and quality. A specialized company like NextAge delivers a managed squad with a methodology, continuous code review, a defined SLA and guaranteed replacement if a professional leaves, eliminating the risk of depending on a single person.
How long does it take to allocate a team of Python developers?
The timeline varies with technical complexity and the required profile, but agile specialized outsourcing processes usually allocate qualified professionals within a few weeks. At NextAge, the Staff Augmentation model was designed to shorten that time with professionals technically validated before allocation.
How do you ensure code quality in an outsourced Python project?
Quality is ensured through three layers: technical validation of professionals before allocation, continuous code review (which can be AI-assisted) during development, and monitoring of quality metrics every sprint. NextAge applies this model through the NextFlow AI methodology, which also reduces rework throughout the project.
Can Python be used to modernize a legacy system without rewriting it from scratch?
Yes. Incremental modernization makes it possible to migrate parts of the system in a planned way, validating each step before moving on, including migrating codebases still on Python 2 to current versions. This approach reduces the risk of downtime and avoids exposing operations to a full rewrite.
Is Python a good choice for Artificial Intelligence applications in production?
Yes, Python is the market's reference language for AI and Machine Learning, with native support for frameworks such as PyTorch, TensorFlow and LangChain, plus direct integration with LLM APIs. This makes it possible to take models from prototype to production with less engineering effort than other languages.
What is the safest contract model for Python development outsourcing?
Models with a defined scope, a contractual SLA and a professional replacement clause offer more security than pure staffing contracts, where the client takes on all team management. NextAge works with this structured model, including a risk-free trial period in the first 15 days of the contract.
How can you tell whether a Python outsourcing company has real market experience?
Objective indicators such as years in the market, number of projects delivered, diversity of industries served and documented cases are more reliable than generic claims of expertise. NextAge, for example, has 19 years in the market, more than 600 projects delivered and a presence in 13 countries.
Do outsourced Python development teams offer ongoing support after the system launches?
Yes, when the contract includes a structured support model that covers bug fixes, updates, incremental improvements and performance monitoring on a recurring basis, not just reactive ticket support. This model is usually offered as a service separate from the project's initial development.
What is the difference between hiring Python developers in-house and through specialized outsourcing?
In-house hiring involves fixed costs, longer recruitment times and turnover risk borne by the company. Specialized outsourcing offers the flexibility to scale the team according to demand, removes direct labor risk and transfers the management of technical continuity to the contracted partner.

Have a Python project to get off the ground? NextAge guarantees delivery