Top-Tier Python Developers for Hire


Tulip offers the services of Python developers and data scientists with 3-15 years of experience who ensure first-time-right code, on-time delivery, and high productivity. Our flexible services stretch from filling specific Python skill gaps to providing self-managed Python development teams.





WHY PARTNER UP WITH TULIP TO HIRE PYTHON DEVELOPERS

Our Python highlights

  • 8 years in Python development.
  • 7 years in data analytics and data science.
  • 50+ successfully implemented Python projects.
  • ~ 27 Python engineers for hire.
  • 2 days – 2 weeks ramp-up time.
  • Proficiency in Agile methodologies (Scrum, Kanban, etc.): major releases every 2-6 weeks, minor updates up to several times a day.

Our Corporate highlights

  • 15+ years in software development.
  • 25+ developers and 20+ employees on board.
  • 760 projects in the portfolio.
  • Established software development, project management, and?code quality assurance?processes.
  • 9 years?of developing complex?cloud?applications.
  • Certified Scrum Masters in-house.

OUR DEVELOPMENT SKILLS

  • Python Frameworks
  • ML, dep learning
  • Database
  • Clouds
  • Cloud Database
  • Innovative Technologies
  • Architecture Pattern
  • Content Mgmt. System
  • Front End
  • Internet of Things (IoT)
  • Machine learning
  • Big data
  • Blockchain
  • Virtual reality (VR)
  • Artificial intelligence (AI)
  • Data science
  • Computer vision
  • Augmented reality (AR)
  • Domain-driven design (DDD)
  • Event-based/message bus-based and reactive microservices, etc.

HOW FAST WILL OUR PYTHON PROGRAMMERS DELIVER TYPICAL FEATURES TO USERS?



New user sign up/onboarding, log in and managing personal account details
– 4 hours


Online payment confirmation email
– 8 hours


Essential functionality for processing online payments
– 16 hours

WHAT WE MEAN BY QUALITY PYTHON CODE?

Rules and guidelines we follow

Style guide for Python code. Commenting complex code parts. Conducting regular unit tests. Breaking up code into smaller logical units. Documenting what code (as a whole) does and what its dependencies are in a final README doc. Using version control. Using source code management (SCM) systems.

How we track quality

Code review practices

  • Ad hoc review.
  • Peer review.
  • Walkthrough.
  • Inspection.
  • Code quality metrics

Code quality metrics

  • Maintainability index (MI).
  • Cyclomatic Complexity (CC).

AN EXAMPLE OF OUR PYTHON CODE

TYPES OF APPLICATIONS OUR DEVELOPERS BUILD



Back-end programming:

  • Data-intensive web applications.
  • Database interactions.
  • APIs.


Data analysis:

  • Custom-made statistical models.
  • Dashboards and reporting solutions.


Test automation



Machine learning:

  • Demand forecasting systems
  • Customer segmentation and customer behavior prediction systems
  • Product/service recommendation engines,
  • Financial risk evaluation, fraud detection systems
  • Predictive maintenance systems


IoT development:

  • Data warehouse design and engineering.
  • Data analytics implementation.
  • Development of control apps.
  • Web and mobile application development.
  • API design and provisioning.

IN-HOUSE VS OUTSOURCED PYTHON DEVELOPERS: WHAT’S THE DIFFERENCE?

Outsources developers

  • Quick access to high-quality Senior-level resources.
  • No headache of hiring and retaining new employees.
  • No hiring expenses, training expenses, bonuses, vacations and sick leaves.
  • Minimized managerial efforts.
  • Optimal resource usage at peak/low times.

In-house developers

  • Easier control over the development process.
  • Less security risks.
  • Minimized risk of communication gaps.

CHOOSE YOUR COOPERATION MODEL



Team augmentation with Python programmers



A dedicated Python team