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At STS Digital Solutions, Python tools are used for creating strong backend and full-stack applications. From web development to data automation, API development, and enterprise solutions, experienced Python developers guarantee speed, scalability, and grip for every project undertaken.
Years Of Experience
Total Projects Worked
This is the stage when business needs, application objectives, and performance expectations are understood to elicit concrete technical requirements.
The technical team sets out the development flow, hands over the selection of the most appropriate tech stack (Django, Flask, etc.), and sets down the architecture.
Clean and intuitive wireframes and mockups are designed to chart the user flow and experience before commencing on the backend work.
We design beautiful frontends and write the backend functionalities in Python, integrating other JS frameworks as required.
We develop and integrate secure APIs, payment gateways, chat modules, etc., to add more power and functionality to your application.
The QA team does rigorous manual and automated testing for bugs, performance issues, and scalability before deployment.
We deploy the application into your environment of choice (AWS, Azure, or private server), ensuring a seamless go-live.
We ensure continuous monitoring of your system, rectification of bugs, performance tuning, providing backup, and applying security patches.
| Features | In-House Team |
|
Freelancer |
|---|---|---|---|
| Time to Start | Weeks or hiring delays | Starts immediately | 2–3 days |
| Expertise | May lack framework knowledge | Skilled in Django, Flask, ML, APIs | Varies; not always reliable |
| On-Time Delivery | Depends on workload | Consistent and deadline-oriented | Often unpredictable |
| Legal Protection | Basic company policies | NDA, SLA, contracts | Minimal or none |
| Project Cost | High payroll and overhead | Affordable with zero hidden charges | Low base cost, but risky outcomes |
| Issue Resolution | Slower due to resource limits | Swift troubleshooting and proactive fixes | Varies by availability |
| Scalability | Limited by team size | Scalable resources and modular design | Hard to scale for large systems |
| Communication | Slower response | One POC with structured reporting | May miss deadlines or updates |
| Complex Projects | Struggle with modern tools | Experts in scalable apps and APIs | Best for basic scripts |
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Consensus is on the following applications: Web applications, backend APIs, dashboards, data analytics tools, automation scripts, AI/ML for applications, and any product based on Data Science.
Sure. Django is used for full-fledged applications, whereas Flask is used for lightweight APIs and other services based on the complexity and requirements.
Of course. Scalability, security, and an enterprise application-friendly endorsement by tech giants such as Google and Instagram are among its qualities.
Absolutely. We guarantee a seamless migration from PHP/.NET/Java to Python, with due consideration to data integrity and performance.
We're working with industries such as healthcare, logistics, fintech, education, and real estate, just to name a few, in the development of custom Python solutions.
Yes, we are providing monthly and yearly contracts for the maintenance of applications, which include server management, code upgrades, patching, and scaling.
Yes. We create dashboards using libraries such as Plotly and Matplotlib, integrating them with real-time data sources.
