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Python Consulting Services

Benefit from Experienced Consultants and Transparent Collaboration with ScienceSoft

In Python development since 2013 and in data analytics and data science since 1989, ScienceSoft offers comprehensive Python consulting services that stretch beyond pure advisory and may include practical help with implementation and support.

Python Consulting Services – ScienceSoft
Python Consulting Services – ScienceSoft

Python consulting services are a way to solve technical challenges of Python development at any stage of the app development project life cycle.

Scope of Python Consulting Services by ScienceSoft

For a new Python project

Development of a general-purpose Python app

  • Designing the app architecture.
  • Designing UX and UI.
  • Configuring the required application infrastructure.
  • Developing, integrating, testing and deploying the new Python-based app.

Development of a Python-based AI app

  • Creating a data strategy.
  • Data architecture design.
  • Data warehousing with embedded data analytics capabilities.
  • Training of machine learning models.

Development of a Python-based big data app

  • Building a data lake.
  • Building an operational data store and a data warehouse.
  • Designing ETL/ELT processes.
  • Big data quality management.
  • Big data security management.
  • Building OLAP cubes.
  • Big data visualization.

Development of a Python-based BI solution

  • Designing a BI software architecture.
  • Setting up data governance (data quality management, data security, master data and metadata management, etc.)
  • Developing BI solution components (a data lake, DWH, OLAP cubes, reports and dashboards).
  • Adding data science capabilities, if necessary.
  • BI solution quality assurance.
  • Data migration, if necessary.

For existing Python code

  • Python code quality audit, code review, fixing and updating code.
  • Helping modernize legacy applications built in Python (reengineering, re-architecting, cloud migration, adding new interactive features, a fresh UX).
  • Performance assessment and improvement of the application that uses Python.
  • Python application deployment consulting:
    • DevOps consulting.
    • Infrastructure costs optimization.
    • Deployment recommendations and training.
    • CI/CD process setup.

Selected Python Projects by ScienceSoft

Mental Health Software Revamp to Improve Security and Performance for NGO Serving 15,000+ Patients
Case Study

Mental Health Software Revamp to Improve Security and Performance for NGO Serving 15,000+ Patients

ScienceSoft modernized a suite of mental health software for a US NGO serving over 15,000 patients. We conducted UX and code audits, refactored and redeveloped software components, migrated valuable research data, implemented UX/UI updates, and delivered new features.

Refactoring and Continuous Evolution of Mental Health Software
Case Study

Refactoring and Continuous Evolution of Mental Health Software

ScienceSoft refactored and rearchitected mental health software for a US-based NGO. We also conducted a UI and UX redesign for a clinician web app and an admin panel and introduced new software features.

Data Analytics System Enabling Cross Analysis of 30,000 Attributes and 100x Faster Reporting
Case Study

Data Analytics System Enabling Cross Analysis of 30,000 Attributes and 100x Faster Reporting

ScienceSoft designed and launched a scalable big data analytics system based on Apache Hadoop, Apache Hive, and Apache Spark. The new solution processes 1,000+ types of advertising data in real time and enables comprehensive analytics for different markets.

Refactoring a SaaS Advertising Platform and Migrating It to Multi-Tenant Architecture
Case Study

Refactoring a SaaS Advertising Platform and Migrating It to Multi-Tenant Architecture

ScienceSoft re-engineered the advertising application into a multi-tenant one and refactored the app’s code in accordance with modern standards. By getting its SaaS product revamped, the Client capitalized on lower maintenance costs and optimized TCO.

LLM-Supported Smart Search for Mobile Banking App Users
Case Study

LLM-Supported Smart Search for Mobile Banking App Users

In just 4 weeks, ScienceSoft provided a top high-tech bank with a functional concept, a technical design, and an implementation plan for an LLM-powered smart search solution. Our advice on the cost-effective tech stack and hardware ensured optimized project investments.

Why ScienceSoft?

Achieving project goals in spite of time and budget constraints, as well as changing requirements, is ScienceSoft's top priority. You set goals, we drive the project to fulfill them.

  • Python development since 2013.
  • Data analytics and data science since 1989.
  • Consultants, solution architects and data scientists with 5-20 years of practical experience.
  • Expertise with large Python-based projects: 25+ FTE, ~ 30-40 microservices and over 80 CI/CD pipelines.
  • Competencies in advanced techs (big data, IoT, AI/ML, AR/VR, AVI, blockchain, image analysis, etc.).
  • 750+ experts onboard, including PMs, data scientists, QA, security, DevOps, and support engineers, to form all-around consulting and development teams.

Our Python-Related Tech Expertise

Our Approach to Python Consulting

Hands-on expertise

ScienceSoft’s consultants are senior Python developers and data scientists who code in Python every day and offer their practical advice. When needed, they can also temporarily join your development team to execute tasks requiring advanced skills.

Documented deliverables

We create clear documentation describing the analysis we’ve done and our recommendations. In doing that, we guarantee that all project stakeholders can access the information and revisit the documents later if needed.

Productive teamwork

We don’t give abstract Python recommendations but collaborate closely with your team to understand the software specifics and establish productive knowledge exchange.

Work transparency

We give you access to our log tools and send regular reports to keep you up to date on the project progress.

Our service delivery timeframes

We have a well-organized process for Python consulting and can confidently deliver results within the shortest timeframe:

  • 300-400 LoC/hr

    for Python code review

  • 7-14+ days

    for Python application performance optimization

  • 5-10+ days

    for Python architecture (re)design

  • 5-7+ days

    for Python application performance assessment with recommendations

How ScienceSoft Measures and Improves Python Code Quality

Code rules and guidelines

  • Following the Python style guide.
  • Creating descriptive names for code variables.
  • Leaving comments on what particular code functions do.
  • Providing full code documentation with dependencies in a README file.
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  • Splitting code into short and focused units.
  • Conducting unit tests.
  • Keeping code portable.
  • Using version control.

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Code review practices

  • Ad hoc review.
  • Walkthrough.
  • Pull request.
  • Inspection.

Code quality metrics

  • Maintainability index (MI).
  • Cyclomatic Complexity (CC).
  • Depth of Inheritance.
  • Class Coupling.
  • Lines of Code.
  • Halstead Volume.

Choose Your Service Option

Long-term Python skills augmentation

We offer Python consultants and data scientists to help with challenging tasks in your Python-based projects.

  • On-demand availability.
  • Easy scaling up and down.
Go for skills augmentation

Python app development and evolution

ScienceSoft’s team takes over the responsibility for the design and development of a complete Python app or its part and offers the following cooperation options.

  • Independent work (our PMs handle all the necessary communication and reporting according to the schedule).
  • Work in close daily collaboration with your other teams. There may be mixed teams of ScienceSoft's and your employees.
Go for app development

Pricing Options for Python Consulting Services by ScienceSoft

Fixed price

Best for: Python tasks/projects with specific, measurable clear-cut deliverables.

You pay the price established by a contract.

Time & Material, Time & Material with a monthly/quarterly cap

Best for: Advisory activities (e.g., Python app architecture design/re-design), agile Python app development, Python app evolution (introducing substantial code changes or adding new functionality).

You receive the end-of-the-month invoice based on the hours or efforts reported per month (under the stated upper limit in case of T&M with a cap).

Access Established Python Expertise

Request Python consulting services from ScienceSoft to increase and improve your Python development output.