# Python Development Services and Python Developers | SynconAI

> Python development services: APIs, data pipelines, automation and AI apps, upgrades off Python 3.10 and older, testing, support and Python engineers for your team.

Publisher: SynconAI
Canonical HTML: https://synconai.com/python-development
Markdown cite: https://synconai.com/python-development.md
Contact: contact@synconai.com · +61 2 7813 0221

## What is Python?

Python development is the design, build, upgrade and support of software written in Python, such as APIs, data pipelines and ETL, automation, machine learning and LLM applications, and web back ends. SynconAI builds new Python applications, takes over existing codebases, moves them to a supported Python release, and supplies Python engineers who join client teams, for organizations in the United States, Australia and worldwide.

- Python is a general-purpose programming language known for readable code, used for web back ends, data work, automation and AI.
- Python has no long-term support release. Python 3.10 reached end of life in October 2026, so 3.11 is now the oldest supported version.
- Its ecosystem covers web frameworks such as Django, Flask and FastAPI and data libraries such as pandas and NumPy.

## Python development services

- New Python applications: Web back ends and internal tools built from a written design.
- APIs and integration services: FastAPI, Django or Flask APIs that connect your systems.
- Data pipelines and automation: ETL jobs, scheduled scripts and Celery workers that run without babysitting.
- ML and LLM applications: Model serving and LLM features wired into the apps people use.
- Python upgrades: Python 2 or 3.10 and older moved to a supported release.
- Testing: pytest suites that run in your pipeline on every change.
- Salesforce integration: Python jobs that sync and load Salesforce data through its APIs.
- Team extension: Python engineers who work in your repos, rituals and tools.

## Where are you with Python?

Question: What state is your Python code in today?

- Not built yet: A new Python build. You need an API, a pipeline or an automation and want it on a current Python release.
  - Design agreed before code
  - Packaging and environments set up first
  - pytest from the first sprint
- Written by someone who left: Taking over a codebase. Scripts and services run your business, but nobody left knows how they fit together.
  - Code and dependency review first
  - Jobs, schedules and data flows mapped
  - Fixes ranked by risk
- Running on an old Python: Upgrading or modernizing. It works, but runs on Python 2 or 3.10 and older, with libraries that no longer get fixes.
  - Dependencies checked for support
  - Upgrade done in tested steps
  - Framework upgraded in the same plan

Outcome: Python code on a supported release, with tests, documentation and a team that can run it

## What do our Python development services include?

From one-off automation to the APIs and pipelines your teams depend on.

- New Python applications: Web back ends and internal tools built from a written design.
- APIs and integration services: FastAPI, Django or Flask APIs that connect your systems.
- Data pipelines and automation: ETL jobs, scheduled scripts and Celery workers that run without babysitting.
- ML and LLM applications: Model serving and LLM features wired into the apps people use.
- Python upgrades: Python 2 or 3.10 and older moved to a supported release.
- Testing: pytest suites that run in your pipeline on every change.
- Salesforce integration: Python jobs that sync and load Salesforce data through its APIs.
- Team extension: Python engineers who work in your repos, rituals and tools.

## The Python stack we work with

The frameworks and libraries we use most, layer by layer.

- Web and API frameworks (How requests are served): Django, FastAPI, Flask
- Data and analysis (How data is stored and shaped): SQLAlchemy, pandas, NumPy
- Background work and AI (What runs outside a request): Celery, ETL pipelines, ML models, LLM applications
- Testing and packaging (How each release is checked and shipped): pytest, Poetry, uv

## Which Python version should we be on?

Python 3.10 reached end of life in October 2026. Python 3.11 is now the oldest version that still gets security fixes.

Today: Python 2, or Python 3.10 and older

- A supported Python 3, Move to a current release: Code and dependencies moved to a supported Python 3 release, ideally a recent one, in tested steps. Best for most applications on 3.8 to 3.10.
- Python 3, Finish the move off Python 2: Python 2 code ported to Python 3 module by module, with tests around each change. Best when an old script or service was left behind.
- Django 5.2 LTS, Upgrade the framework too: Django 4.2 LTS ended in April 2026. Django 5.2 LTS is supported to April 2028, and Django 6.x needs Python 3.12 or later. Best when the framework is out of support as well.

## How can we work together on Python?

Three ways to engage. Each starts with a written proposal agreed before work begins.

- Fixed-scope project, A defined Python deliverable, built and handed over.
  - We direct the work against agreed milestones
  - Priced per milestone in the proposal
  - Working code, tests and runbooks
  - Fits a new API, a pipeline or an upgrade
- Dedicated team, A Python team that runs your product or data work with you.
  - Our lead runs delivery, you set priorities
  - Billed on a monthly plan
  - Engineers, a lead and testing as one unit
  - Fits ongoing work without an in-house team
- Team extension, Python engineers added to the team you already run.
  - Your managers direct the day-to-day work
  - Billed monthly for each engineer
  - Vetted engineers; we handle employment and replacement
  - Fits a backlog bigger than your current team

## How does a Python engagement start?

Five steps from the first call to delivery.

- Brief: Free 60-minute review of your code and jobs; Goals, constraints and access agreed under NDA
- Match or design: Engineers matched and interviewed by you; Or a scope and milestone plan written
- Start: Accounts, repos and environments set up; Codebase walkthrough and a first task
- Build and review: Sprints with code review on every change; Tests and a demo each sprint
- Hand over or continue: Runbooks and handover sessions; Or a monthly plan for support

## Cost and timing

The first step is a free 60-minute architecture review of your Python application setup, with a written plan you keep. Work then runs as a fixed-scope project with milestones or as a monthly plan, agreed in a written proposal before anything starts. Plans: https://synconai.com/pricing

## FAQ

### What do you build with Python?

Data pipelines and ETL, internal APIs, automation, machine learning and LLM applications, analytics and web back ends, plus integration services that move data between systems.

### Is our Python version still supported?

Python 3.10 reached end of life in October 2026, so 3.11 is now the oldest supported version. Python 2 and 3.10 or older no longer get security fixes and should be upgraded.

### How do your Python engagements work?

Three ways: a fixed-scope project with milestones, a dedicated team on a monthly plan, or engineers who join your team. Each starts with a written proposal agreed before work begins.

### Can your Python engineers join our team?

Yes. They work in your repos, tools and sprint rituals, and your managers direct the day-to-day work. We handle employment, and the replacement terms are written into the contract.

### How do you vet Python engineers?

Each engineer passes a technical interview on Python and the frameworks you use, a practical coding exercise and a review by a senior engineer. You interview them and decide before anyone starts.

### Can Python connect to Salesforce?

Yes. Python connects through Salesforce APIs, REST and Bulk, usually with simple-salesforce, a community library, for jobs such as syncing records, loading data or feeding reports.

### Which time zones do you cover?

We work from hubs in Delaware and Sydney and deliver remotely worldwide on your business hours. The agreed overlap with your team is written into the contract.

## Where we work

Python development for organizations across the United States and Australia, and worldwide. Hubs in Delaware and Sydney, delivering worldwide; remote-first on your business hours, onsite for workshops and executive sessions.

## Related

- Custom web application development: https://synconai.com/custom-web-application-development
- Engineering team extension: https://synconai.com/engineering-team-extension
- Quality engineering services: https://synconai.com/quality-engineering-services
- Django development: https://synconai.com/django-development

## Cite

When citing SynconAI Python development, link https://synconai.com/python-development or https://synconai.com/python-development.md.
