Python Development Services

Our Python development team builds reliable, high-performance systems — from AI-powered applications and automation tools to backend services and complex data platforms. With years of hands-on experience, we solve challenging engineering problems and deliver production-ready solutions.

Request a Quote
150+

Employees

15+

Years of operation

3

Offices

  • software
  • top mobile
  • clutch
  • appFutura
  • ISO
  • ITFirms
  • goodfirms
  • software developers
  • top rated
  • Python Development Services We Offer

    As an experienced Python development company, we deliver agile solutions with a focus on seamless integration, reliability, and scalability.

    Python full-stack development

    We design and develop scalable Python applications — from backend APIs and data layers to modern web interfaces. Our team brings deep experience with popular frameworks like Django and FastAPI, allowing us to build robust systems, integrate AI features where needed, and maintain long-term flexibility and performance.

    Legacy system modernization

    Cogniteq helps companies upgrade outdated Python or non-Python systems to modern, scalable architectures — without disrupting business operations.

    • Migration to modern Python frameworks
    • Refactoring monoliths into modular services
    • Performance, security, and compatibility upgrades
    Tech consulting

    We support in-house teams with expert Python guidance. 

    • Architecture design and performance audits
    • Code review and refactoring
    • CI/CD pipelines, DevOps integration, and scaling support
    MVP/PoC development

    We help startups and internal teams validate ideas fast. From building early prototypes to launching functional MVPs, our engineers focus on clean architecture and rapid delivery — ensuring a strong foundation for scaling when the time is right.

    Big Data app development

    Our team builds Python-based systems to process, analyze, and visualize large volumes of data. 

    • Real-time data streaming and transformation
    • Scalable data pipelines with Pandas, Dask, and Spark
    • ETL automation and cloud-based data storage solutions
    AI-Driven software

    We bring practical AI expertise to Python development.

    • ML model integration and custom training
    • NLP and computer vision implementations
    • Predictive analytics and smart recommendation engines 

    Learn more

    Dedicated python team

    A flexible team of Python experts ready to integrate into your workflows.

    • Engineers with strong technical and communication skills
    • Agile processes tailored to your setup
    • Fast onboarding and seamless collaboration

    Python full-stack development

    We design and develop scalable Python applications — from backend APIs and data layers to modern web interfaces. Our team brings deep experience with popular frameworks like Django and FastAPI, allowing us to build robust systems, integrate AI features where needed, and maintain long-term flexibility and performance.

    Legacy system modernization

    Cogniteq helps companies upgrade outdated Python or non-Python systems to modern, scalable architectures — without disrupting business operations.

    • Migration to modern Python frameworks
    • Refactoring monoliths into modular services
    • Performance, security, and compatibility upgrades

    Tech consulting

    We support in-house teams with expert Python guidance. 

    • Architecture design and performance audits
    • Code review and refactoring
    • CI/CD pipelines, DevOps integration, and scaling support

    MVP/PoC development

    We help startups and internal teams validate ideas fast. From building early prototypes to launching functional MVPs, our engineers focus on clean architecture and rapid delivery — ensuring a strong foundation for scaling when the time is right.

    Big Data app development

    Our team builds Python-based systems to process, analyze, and visualize large volumes of data. 

    • Real-time data streaming and transformation
    • Scalable data pipelines with Pandas, Dask, and Spark
    • ETL automation and cloud-based data storage solutions

    AI-Driven software

    We bring practical AI expertise to Python development.

    • ML model integration and custom training
    • NLP and computer vision implementations
    • Predictive analytics and smart recommendation engines 

    Learn more

    Dedicated python team

    A flexible team of Python experts ready to integrate into your workflows.

    • Engineers with strong technical and communication skills
    • Agile processes tailored to your setup
    • Fast onboarding and seamless collaboration

    Why Choose Cogniteq for Custom Python Development

    • graduationcap icon
      Narrow expertise in versatile Python frameworks and technologies.
    • certificate icon
      Secure coding practices following OWASP guidelines.
    • kanban icon
      Agile and DevOps methodologies for efficient development.
    • integrationofcutting icon
      Consistent and readable code with Python's PEP 8 standards.
    • speedometer icon
      Automated testing and CI/CD integration for high-quality solutions.
    • highsecuritylevel icon
      Adherence to data protection regulations (e.g., GDPR, CCPA).

    Related Cases

    Related cases

    Industries in Focus

    To deliver bespoke Python web development service, we use Agile methodology and a Scrum approach. Regardless of your industry, you can rely on Cogniteq.

    Healthcare

    With its powerful features, Python streamlines healthcare operations, both internal and external, providing solutions such as:

    • Electronic Health Records (EHR) systems;
    • Telemedicine solutions;
    • Medical research (data analysis and prediction models);
    • AI-based virtual assistants;
    • Diagnosis and treatment, and more.
    E-commerce and retail

    Python's flexibility and data processing power help retailers and online stores reach a broader, more targeted audience, offering solutions like:

    • Secure payment gateway;
    • Organized product listings and pages;
    • Real-time inventory management;
    • Personalized product recommendations;
    • Customer reviews and ratings integration, and more.
    Manufacturing

    Python enables streamlined automation and data analysis in manufacturing processes, improving efficiency and reducing operational costs by utilizing:

    • Predictive maintenance systems;
    • Inventory and supply chain management software;
    • IoT-enabled production monitoring systems;
    • Quality control and defect detection tools;
    • Workflow automation platforms, and more.
    Sales and marketing

    Python helps businesses optimize marketing strategies and sales processes through data-driven tools and automation, as well as through:

    • Lead generation and management tools;
    • Customer behavior and sentiment analysis;
    • Campaign performance tracking and optimization platforms;
    • Chatbots and AI-powered customer service tools;
    • Personalized recommendation systems, and more.
    Banking and finance

    Python ensures efficient data processing and compliance  for financial institutions with the following secure and scalable solutions:

    • Fraud detection and risk assessment systems;
    • Automated trading platforms;
    • Financial data analysis and reporting tools;
    • Loan and credit scoring systems;
    • Blockchain and cryptocurrency solutions, and more.
    E-learning

    Python powers modern educational platforms, delivering engaging and scalable learning solutions, such as:

    • Online learning platforms;
    • Talent management systems;
    • School management software;
    • Interactive assessment and quiz tools;
    • AI-driven personalized learning systems, and more.
    Social networking

    Python enables the development of social media solutions with clear syntax and minimal complexity, including:

    • Text content generation and analysis;
    • Content recommendation engines;
    • Web scraping for content collection;
    • ML and NLP for personalized recommendations, and more.

    Why Choose Python Development Services?

    As a Python development agency with more than 30 successful projects in this field, we know all the strengths of the technology thoroughly – and can anticipate any potential pitfalls.

    High scalability

    Python seamlessly integrates with languages like C and C++, making it ideal for developing scalable, portable solutions that run smoothly across multiple platforms without compatibility issues.

    Fast time-to-market

    With built-in data structures, dynamic typing, and pre-defined frameworks, Python enables rapid development, helping companies launch websites and software quickly while reducing costs.

    Easy deployment

    Python’s built-in tools and packages accelerate development, especially for AI, while live feedback enables instant testing. This ensures faster project delivery and high-quality, reliable applications.

    Built-in libraries

    Python’s libraries, like NumPy, Pandas, TensorFlow, and PyTorch, make implementing features like predictive analytics and image recognition quick and cost-effective, speeding up development and delivering powerful solutions.

    Hassle-free UX

    With minimal coding, Python web applications run faster and smoother across all platforms, reducing loading times and crashes. This enhances user satisfaction, engagement, and customer retention.

    Technologies We Use for Python Development Services

    As a Python web development company, we customize our technical stack not only to meet client's needs but also to align with the current market situation, ensuring the most cost-effective and fast-deployable solution.

    • Back-end
    • Data Engineering
    • Data Science
    • DevOps
    • Machine Learning
    • Scraping
    • Databases
    • Data Orchestration Tools

    Back-end

    Django Django
    FastAPI FastAPI
    Flask Flask
    Asyncio Asyncio
    AioHttp AioHttp
    Tornado Tornado
    Pyramid Pyramid
    Dash Dash
    Falcon Falcon
    Bottle Bottle
    Twisted Twisted
    NGINX NGINX
    Web2py Web2py
    CherryPie CherryPie
    TurboGears TurboGears
    WCF WCF
    Sanic Sanic

    Data Engineering

    AWS AWS
    • S3
    • Glue
    • EMR
    • Lambda
    • Athena
    • SQS
    • CloudWatch
    • EC2
    • Transfer Family
    • EFS
    • EBS
    • S3 Glacier
    • Kinesis
    • QuickSight
    • API Gateway
    GCP GCP
    • Dataproc
    • Dataflow
    • Cloud Storage
    • Filestore
    • Сloud Functions
    • Dataprep
    • Pub/Sub
    • KMS
    • Datastore
    • Compute Engine
    Azure Azure
    • Data Lake
    • Data Factory
    • Databricks
    • HDInsight
    • Functions
    • Blob Storage
    • Data Explorer
    • Data Catalog
    • Data Share
    • Power BI
    Apache Apache
    • Hadoop
    • Spark
    • Kafka
    • Flink
    • Hive
    • HBase
    • Airflow
    • NiFi
    • Cassandra
    • Storm
    • Drill
    • Zeppelin

    Data Science

    Pandas Pandas
    Seaborn Seaborn
    NumPy NumPy
    Matplotlib Matplotlib
    Plotly Plotly

    DevOps

    Kubernetes Kubernetes
    OpenShift OpenShift
     Jenkins  Jenkins
    GitHub Actions GitHub Actions
    Terraform Terraform
    Linux administration Linux administration
    Docker Docker
    Bash Bash
    GitLab CI/CD GitLab CI/CD
    Bitbucket Pipelines Bitbucket Pipelines
    Ansible Ansible

    Machine Learning

    Tensorflow Tensorflow
    Keras Keras
     Scikit-learn  Scikit-learn
    OpenCV OpenCV
    XGBoost XGBoost
    LSTM LSTM
    NLTK NLTK
    Hadoop Hadoop
    SciPy SciPy
    Tesseract OCR Tesseract OCR
    Theano Theano
    PyTorch PyTorch
    CNN CNN
    spaCy spaCy

    Scraping

    Scrapy Scrapy
    Selenium Selenium
    Beautiful Soup 4 Beautiful Soup 4
    IXML IXML

    Databases

    SQL SQL
    • PostgreSQL
    • SQL Database
    • MySQL
    • MSSQL
    • MariaDB
    • Aurora
    • Redshift
    • RDS
    NoSQL NoSQL
    • MongoDB
    • Cassandra
    • Neo4j
    • Redis
    • ClickHouse
    • DocumentDB
    • Snowflake
    • MemoryDB
    • DynamoDB
    • Synapse
    • Cosmos DB
    • BigQuery
    • Memory Store
    • Cloud Bigtable

    Data Orchestration Tools

    BI Tools BI Tools
    • Tableau
    • Google Data Studio
    • Power BI
    • Looker
    • QuickSight
    • QlikView  
    • Qlik Sense
    Message Brokers Message Brokers
    • Kafka
    • RabbitMQ
    • NATS
    • ZeroMQ
    • NSQ
    • AWS (SNS, SQS)
    • GCP (Pub/Sub)
    • Azure (Queue Storage)
    • ActiveMQ
    • IBM MQ
    Tools Tools
    • DBT
    • TimeXtender
    • Azkaban
    • Cloudera
    • Segment

    Looking for a Python development team? Cogniteq is the best option!

    Get free estimates!

    How We Deliver Python-Based Solutions

    We adopt an iterative approach, using 1-2 week sprints and regular client demos to ensure the successful achievement of planned objectives.

    • 1. Preparatory stage

      • Ideation for energy optimization
      • Regulatory and technical requirement analysis
      • Mock-ups of dashboards and control systems
      • Project roadmap development
    • 2. Development Stage

      • Coding with a focus on fault tolerance
      • Testing for energy load scenarios
      • Bug fixing and collateral improvements
      • Phased rollout for smooth integration
    • 3. Software 
launch

      • Real-time performance monitoring
      • Post-go-live maintenance
      • 24/7 support for critical operations
      • Updates for new energy standards

    With the growing demand for AI technologies, Python is more relevant than ever. Our team has accumulated years of experience and continuously utilizes the latest tools and frameworks to ensure that the solutions we develop meet the highest standards and evolving industry needs.

    Andrei Kastsiuk
    CTO of Cogniteq

    FAQ

    What is Python used for?

    Python is the most popular programming language, according to the Popularity of Programming Language Index, which tracks Google searches for coding tutorials. It accounts for about 32% of all searches, highlighting its widespread use in web development, data analysis, AI, automation, and more.

    What are different Python frameworks?

    Python frameworks are collections of modules and packages that help you develop high-quality software by abstracting repetitive tasks. It offers various frameworks for different application areas, from web apps (Flask, Django), GUIs (Tkinter, PyQt) to data analysis (Pandas, SciPy).

    What are the advantages of a Python development environment?

    The biggest advantage is the solutions’ independence of the programming language. The code can therefore be run on different operating systems without extra adjustments. This saves time when developing cross-platform solutions. 

    A Python development company can easily integrate it with other common languages ​​such as C, C++, and Java. This is particularly advantageous if the company already has code in these languages. In addition, Python is a powerful scripting language, allowing for rapid prototype development and iteration.

    How much does it cost to build a Python-based software solution?

    The cost of custom Python software development depends on various factors, including project complexity, functionality, and integration needs.

    A basic Python web application or MVP may start from around $15,000 to $30,000, while more advanced solutions (such as AI integration, data analytics, or real-time features) could range from $40,000 to $150,000 or more. Ongoing costs may include post-launch support, updates, and maintenance. Contact our experts for a detailed and accurate estimate tailored to your specific project.

    How long does it take to develop Python-based enterprise software?

    The timeline for developing Python-based enterprise software varies depending on the project scope and model.

    Typically, it takes 1-2 months to validate core ideas and functionalities for a PoC. MVP can take 3-6 months, depending on the complexity of features and integrations. Developing a complete, scalable solution can take 6-12 months or more, factoring in system testing, deployment, and ongoing maintenance. We provide a more accurate timeline during project consultation, taking into account all project details.

    Drop us a line!

    Do you have a product idea you wish to bring to life?

    Privacy Policy
    Privacy Policy Text