python development

Python development services

We use Python to build web applications, data platforms, and automation tools that help your business grow. Our team is ready to start in just two weeks, handling backend systems, APIs, interactive dashboards, and AI integration.

Trusted by startups and enterprises:

OUR SERVICES

Scale your projects with cost-effective, quality solutions

Need skilled Python developers? At ZenDev, we understand the challenge of finding the right talent. Therefore, our certified experts, with a proven track record, work closely with you to deliver projects on time and within budget. Connect with top developers who can integrate with your team or fully own your project. 

Here’s how we can help:

Web application development

We use Python to create web applications that address real challenges for businesses across industries like energy, retail, and logistics. Take our work with a power distribution company - we transformed their helicopter-based powerline inspections from manual processes into a smooth digital operation. The system handles everything from mission planning to real-time tracking, even working offline in remote areas.

API development and integration

Your systems need to talk to each other efficiently. We create APIs that make this happen. For a major freight forwarder, we built a transportation management system (TMS) that automated document generation, invoicing, and task management. Connecting their internal systems through FastAPI reduced processing time and eliminated manual data entry errors.

Automation and intelligent data processing

Manual processes drain resources and introduce errors. We fix that. For Cargotec Kalmar, we developed a mobile app that digitalized and automated their workflows. The result? A 103% increase in operational efficiency and better customer communication. Their team now handles more work with fewer errors and faster response times.

BENEFITS

Why choose ZenDev for Python development?

  • Proven expertise

    Our teams have used Python to build solutions for Cargotec Kalmar, Arvid Nilsson, and other market leaders. We understand the complexities of logistics, retail, and manufacturing systems because we've solved them before.

  • AI, Data, and Automation

    With libraries like Pandas for data manipulation, NumPy for numerical computations, and Scikit-learn for machine learning, Python allows us to efficiently build data-driven solutions, AI systems, and automate workflows.

  • Extensive libraries 

    We build and deploy faster using Python's proven tools. Your applications scale as your business grows, without requiring complete rebuilds or major overhauls.

  • Timely delivery

    We understand that deadlines matter. Our structured workflows and dedicated teams help us deliver projects on time, every time.

  • 48 hours to get candidates

    You’ll receive your first Python developer candidate’s CV within 48 hours to kick off the interview process.

  • 94% satisfaction rate

    Last year's internal survey showed 94% of customers had a positive experience, with 65% extremely satisfied and willing to recommend us.

MORE THAN CODE

Let us handle your Python project

At ZenDev, our developers don’t just work on your project - they become part of your team, aligning with your vision to create applications that truly make a difference for your users.

Take one of our projects, for example: a SaaS platform designed to help businesses stay organized and focused. It turns big-picture goals into actionable plans with milestone tracking and calendar integration, making execution effortless and efficient.

In another project, we developed a mobile app powered by AI to support football players. It allows users to measure their skills, track progress, and challenge others while offering features like video recording, performance analysis, and smooth media handling with AWS S3 integration.

We believe in creating solutions that solve real problems and deliver real results. Ready to take your Python development to the next level? Let’s connect and make it happen!

zendev office
TECHNOLOGIES WE USE

The Python tech stack we used in previous work

Core concept

We use Python because it's simple, readable, and packed with features like dataclasses, f-strings, and type hints that make coding faster and more efficient.

  • Language Features
  • Dependency Management
  • Dynamic Typing
  • PEP Standards
  • Virtual Environments

Design principles

Python helps us keep our code clean and organized by following principles like DRY and KISS, which make our projects easier to understand and maintain.

  • Single Responsibility Principle (SRP)
  • DRY (Don’t Repeat Yourself)
  • YAGNI (You Aren’t Gonna Need It)
  • KISS (Keep It Simple, Stupid)
  • SOLID Principles

Web development frameworks

We use Python frameworks to build everything from quick, lightweight apps to robust, full-stack solutions with all the features we need.

  • Flask
  • Django
  • FastAPI
  • Tornado
  • Bottle

API development

Python makes building APIs a breeze, with tools for REST, GraphQL, and validation that also take care of documentation.

  • REST
  • GraphQL
  • gRPC
  • JSON Schema
  • OpenAPI

RDBMS database

For structured data, Python offers ORMs and tools that let us handle databases without writing raw SQL all the time.

  • RDBMS Fundamentals
  • SQLAlchemy
  • Django ORM
  • Alembic
  • SQLite

NoSQL databases

Python works great with NoSQL databases for scenarios like caching, search, or unstructured data.

  • MongoDB
  • Redis
  • Elasticsearch
  • DynamoDB

Caching

We use caching tools in Python to speed up our apps by reducing the time spent fetching frequently used data.

  • Output Caching
  • Redis

Logging

Logging libraries in Python help us debug issues and keep track of errors in real time with support for structured logging and monitoring.

  • Standard Library
  • Log Aggregation
  • Monitoring Services

Messaging

Python tools like RabbitMQ and Celery let us send messages between services and handle background tasks asynchronously.

  • RabbitMQ
  • Celery
  • Kafka
  • Pub/Sub Systems

Unit testing

Python provides great testing tools to ensure our functions and components work as expected before we roll out changes.

  • pytest
  • unittest
  • unittest.mock
  • pytest-mock
  • Assertions

Integration testing

We simulate real environments to test how our app components interact using Python's integration tools.

  • Docker Integration
  • Test Containers

End-to-end (E2E) testing

We use Python libraries for automating browser actions and testing the entire app from a user’s perspective.

  • Selenium
  • Playwright
  • Robot Framework

Performance testing

Python tools help us check how well our app handles heavy loads and find performance bottlenecks.

  • Locust
  • Apache JMeter
  • K6

Streaming

For real-time data processing, Python libraries connect to streaming platforms like Kafka or AWS Kinesis.

  • Apache Kafka
  • AWS Kinesis

API documentation

Python frameworks like FastAPI let us automatically generate clean, interactive documentation for APIs.

  • OpenAPI
  • Swagger UI

Monitoring and telemetry

We monitor our apps using Python's integration with tools that collect logs, metrics, and performance data.

  • OpenTelemetry
  • Prometheus
  • Datadog

Containers

We package Python apps with Docker and manage them at scale using orchestration tools like Kubernetes.

  • Docker
  • Kubernetes
  • Helm
  • Docker Swarm

Cloud

Python libraries make it easy to manage cloud resources, deploy serverless functions, and store files in the cloud.

  • AWS
  • Azure
  • AWS Lambda
  • Azure Functions
  • S3
  • Azure Blob Storage

Python libraries

Python has an extensive library ecosystem that helps us with everything from HTTP requests to data analysis, machine learning, and web scraping.

  • Requests
  • Pandas
  • NumPy
  • Scikit-learn
  • BeautifulSoup
  • Django Rest Framework
  • Flask-SQLAlchemy
  • Pytest

DevOps

We use Python for automating infrastructure management and setting up CI/CD pipelines to streamline deployment.

  • Terraform
  • Pulumi
  • GitHub Actions
  • Jenkins

We use Python because it's simple, readable, and packed with features like dataclasses, f-strings, and type hints that make coding faster and more efficient.

  • Language Features
  • Dependency Management
  • Dynamic Typing
  • PEP Standards
  • Virtual Environments

Python helps us keep our code clean and organized by following principles like DRY and KISS, which make our projects easier to understand and maintain.

  • Single Responsibility Principle (SRP)
  • DRY (Don’t Repeat Yourself)
  • YAGNI (You Aren’t Gonna Need It)
  • KISS (Keep It Simple, Stupid)
  • SOLID Principles

We use Python frameworks to build everything from quick, lightweight apps to robust, full-stack solutions with all the features we need.

  • Flask
  • Django
  • FastAPI
  • Tornado
  • Bottle

Python makes building APIs a breeze, with tools for REST, GraphQL, and validation that also take care of documentation.

  • REST
  • GraphQL
  • gRPC
  • JSON Schema
  • OpenAPI

For structured data, Python offers ORMs and tools that let us handle databases without writing raw SQL all the time.

  • RDBMS Fundamentals
  • SQLAlchemy
  • Django ORM
  • Alembic
  • SQLite

Python works great with NoSQL databases for scenarios like caching, search, or unstructured data.

  • MongoDB
  • Redis
  • Elasticsearch
  • DynamoDB

We use caching tools in Python to speed up our apps by reducing the time spent fetching frequently used data.

  • Output Caching
  • Redis

Logging libraries in Python help us debug issues and keep track of errors in real time with support for structured logging and monitoring.

  • Standard Library
  • Log Aggregation
  • Monitoring Services

Python tools like RabbitMQ and Celery let us send messages between services and handle background tasks asynchronously.

  • RabbitMQ
  • Celery
  • Kafka
  • Pub/Sub Systems

Python provides great testing tools to ensure our functions and components work as expected before we roll out changes.

  • pytest
  • unittest
  • unittest.mock
  • pytest-mock
  • Assertions

We simulate real environments to test how our app components interact using Python's integration tools.

  • Docker Integration
  • Test Containers

We use Python libraries for automating browser actions and testing the entire app from a user’s perspective.

  • Selenium
  • Playwright
  • Robot Framework

Python tools help us check how well our app handles heavy loads and find performance bottlenecks.

  • Locust
  • Apache JMeter
  • K6

For real-time data processing, Python libraries connect to streaming platforms like Kafka or AWS Kinesis.

  • Apache Kafka
  • AWS Kinesis

Python frameworks like FastAPI let us automatically generate clean, interactive documentation for APIs.

  • OpenAPI
  • Swagger UI

We monitor our apps using Python's integration with tools that collect logs, metrics, and performance data.

  • OpenTelemetry
  • Prometheus
  • Datadog

We package Python apps with Docker and manage them at scale using orchestration tools like Kubernetes.

  • Docker
  • Kubernetes
  • Helm
  • Docker Swarm

Python libraries make it easy to manage cloud resources, deploy serverless functions, and store files in the cloud.

  • AWS
  • Azure
  • AWS Lambda
  • Azure Functions
  • S3
  • Azure Blob Storage

Python has an extensive library ecosystem that helps us with everything from HTTP requests to data analysis, machine learning, and web scraping.

  • Requests
  • Pandas
  • NumPy
  • Scikit-learn
  • BeautifulSoup
  • Django Rest Framework
  • Flask-SQLAlchemy
  • Pytest

We use Python for automating infrastructure management and setting up CI/CD pipelines to streamline deployment.

  • Terraform
  • Pulumi
  • GitHub Actions
  • Jenkins
PROCESS

Here is how we work together

  • discovery

    Discovery

    We begin with a discovery call to understand your goals, team structure, and project details, tailoring our approach to your needs.

  • team-assembly

    Team assembly

    We select top PHP developers to augment your team, build a dedicated team, or manage the entire project from start to finish.

  • onboarding

    Onboarding

    Our developers seamlessly integrate with your team for collaboration, or we take full ownership to lead the project independently.

  • project-kickoff

    Project kickoff

    Once the project begins, we provide full oversight and regular updates to ensure alignment with your objectives.

TRANSPARENT PRICING, ENSURED SATISFACTION

Across all project types, we guarantee the utmost value for your investment

Dedicated

Junior Developer

From EUR 35/hour

2 Years of experience

  • Cost-effective talent

A great choice for budget-conscious projects that need quality support without the high cost.

  • Fresh perspective

Junior developers bring energy and new ideas, eager to tackle challenges and grow with your project.

  • Reliable support for routine tasks

Perfect for handling essential tasks, allowing your project to progress steadily.

Premium
Dedicated

Senior Developer

From EUR 55/hour

5+ Years of experience

  • Expertise for high-stakes projects

Ideal for complex projects needing advanced skills, strategic thinking, and a proactive approach.

  • Efficient and strategic solutions

Senior developers bring deep technical knowledge, ensuring efficient, high-quality solutions.

  • Seasoned stability

Rely on a developer with a strong track record to provide stability and guide the project through challenges.

Dedicated

Mid-Level Developer

From EUR 45/hour

3 - 5 Years of experience

  • Balanced expertise and value

Perfect for projects that need both experience and cost-efficiency.

  • Adaptability and problem-solving

Mid-level developers are skilled at tackling complex issues while quickly adapting to your project’s needs.

  • Consistent workflow

Achieve consistent progress with a skilled developer who ensures smooth operations.

OUR LEADERSHIP TEAM

With over 50 years of combined experience, we have a well-experienced team leading the way. Interested in collaborating? Don’t hesitate to reach out!

senad santic

Senad Santic

Co-founder/CEO

nikola mirkovic

Nikola Mirkovic

Co-founder/Head of Sales

haris husejnovic

Haris Husejnovic

Growth Manager

FAQ

What is Python, and why is it so popular for development?

Python is a versatile, high-level programming language known for its simplicity and readability. It’s widely used across industries for web development, data analysis, machine learning, AI, automation, and more. With a rich ecosystem of libraries and frameworks, Python allows developers to build scalable, efficient, and robust applications quickly, making it a top choice for businesses and developers alike.

What kinds of applications can I build with Python?

Python’s flexibility lets you build a wide range of applications, including:

  • Web applications with frameworks like Django and Flask.
  • AI and machine learning models using TensorFlow, PyTorch, and scikit-learn.
  • Data analysis and visualization tools with Pandas, NumPy, and Matplotlib.
  • Automation scripts and workflow tools.
  • IoT applications for smart devices.
  • Desktop and mobile apps.

Why should I choose ZenDev for Python development?

At ZenDev, we combine technical expertise with a deep understanding of business needs. Our Python developers are skilled in creating custom solutions that solve real-world problems, whether it’s automating workflows, building AI-powered tools, or developing scalable web platforms. We’re committed to delivering quality work on time and within budget, while ensuring seamless collaboration with your team.

Can Python support machine learning and artificial intelligence?

Definitely! Python is a top choice for AI and machine learning, thanks to libraries like TensorFlow, PyTorch, and Keras. It also offers tools like Pandas for data analysis, NumPy for numerical computations, Scikit-learn for machine learning, and BeautifulSoup for web scraping, making it ideal for everything from predictive modeling to real-time AI solutions.

What Python frameworks do you use?

Our developers have experience with popular frameworks like Django, Flask, FastAPI, Bottle, and Tornado for web development. For machine learning and data science, we use libraries like Pandas, NumPy, and Scikit-learn. We tailor our framework choices to the specific needs of your project.

Do you provide ongoing support after development?

Yes, we offer support and maintenance services to ensure your Python application stays up-to-date, secure, and running smoothly. From bug fixes to performance enhancements and new feature development, we’re here to help at every stage.

How do I hire a Python developer through ZenDev?

Actually, it’s very simple. You share your project requirements with us, and we’ll provide you with a curated list of Python developers who match your needs. You can interview the candidates to ensure the right fit. Once selected, the developer will integrate into your team and start working on your project.

Do you sign NDAs to protect my project and data?

Yes, we prioritize confidentiality and sign NDAs to protect your intellectual property and project details.

Can I interview Python developers before hiring?

Absolutely. We encourage you to interview our developers to ensure they are the right fit for your project, both in terms of skills and communication style.

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