You will get I will dockerize your Python app with a repeatable local setup
Rising Talent
Project details
I will containerize a Python application with a repeatable Docker setup, clear configuration, and concise run instructions. I start by reviewing the current project structure, dependencies, runtime command, ports, environment variables, and target environment. Then I create or refine a focused Dockerfile and supporting configuration, keep secrets out of the image, and test the agreed local workflow. I provide command examples, health or smoke-test notes, and a short handoff guide. This fits FastAPI, Flask, scripts, internal tools, and small services. Larger deployments can be split into milestones. Please use placeholders or a secure handoff for secrets—never send passwords, API keys, or tokens. I personally review the build and run evidence before handoff so the setup is understandable and maintainable.
Web Programming Project
API IntegrationProgramming Languages
PythonCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$25
|
Standard
$75
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 0 | 0 | 0 |
Source Code | - | - | - |
Frequently asked questions
About D
Full-Stack Developer | Python, React, APIs & AI
Guangzhou, China - 8:03 pm local time
I can build or improve:
• Python backends, FastAPI services, REST APIs, webhooks, authentication, validation, and error handling
• React/TypeScript/JavaScript interfaces, responsive pages, dashboards, admin panels, forms, tables, and reusable components
• Automation tools, Python CLI utilities, web scraping, CSV/Excel processing, ETL, data cleanup, and scheduled workflows
• Third-party API integrations, data pipelines, Docker-based local setups, packaging, and deployment preparation
• Bug fixes, refactoring, regression tests with pytest, performance troubleshooting, and practical security hardening
I can work from a clear specification, a backlog, or an unfamiliar codebase. I focus on identifying the real problem, implementing a focused solution, and leaving code that another developer can run and maintain. For larger builds, I provide clear milestones, surface risks early, and keep communication concise and actionable.
The projects on my profile demonstrate Python automation, Dockerization, backend fixes with focused tests, and code reliability/security reviews. I also publish clearly labeled personal contributions and forks based on MIT/Apache-licensed open-source projects. I preserve original attribution and licensing, and describe only the changes I personally made.
I use AI tools when they improve research or debugging speed, but I personally review, test, and refine the final implementation. You get readable code, practical documentation, and an accountable delivery process—not just a quick patch.
If you need someone who can independently turn an idea, workflow, or existing codebase into a usable product, send me the requirements and I’ll propose the shortest path to a solid result.
Steps for completing your project
After purchasing the project, send requirements so D can start the project.
Delivery time starts when D receives requirements from you.
D works on your project following the steps below.
Revisions may occur after the delivery date.
Review the app and runtime
Confirm the project structure, dependencies, run command, ports, environment, constraints, and acceptance criteria.
Build and test the container
Implement the Dockerfile and supporting configuration, then build the image and test the agreed local workflow.