Python in Production: Best Practices and Scaling
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Next Start
September 21, 2026
(Offered monthly)Duration
10 Days
ClassroomProgram Fee
$2,500
Exclusive 16% VATOther Dates
October 19, 2026
November 16, 2026
November 16, 2026
Course Description
This comprehensive course provides a practical guide to writing production-ready Python code that is maintainable, performant, and scalable. Designed for developers who want to take their Python skills beyond scripts and Jupyter notebooks, the course focuses on the best practices, patterns, and tools used by professional Python engineers to build robust applications that can handle real-world traffic and complexity.
The curriculum covers code quality, testing, error handling, logging, performance optimization, async programming, design patterns, and scaling strategies. Using a hands-on approach, learners will refactor existing code, write tests, optimize performance, and implement production-ready features. By the end of the course, participants will be able to write clean, maintainable, and efficient Python code that meets production standards and scales with business needs.
Prerequisite note: This course requires solid Python programming knowledge including functions, classes, modules, and packages. Participants should have experience writing Python scripts or small applications and be comfortable with Git and the command line. Basic understanding of web concepts and virtual environments is helpful but not required.
Course Outline
This course is structured into 10 core modules, each carefully designed to build progressively on the previous one.
Learning Outcomes
Technical Skills
- Write clean, maintainable, and PEP 8 compliant Python code.
- Implement comprehensive testing (unit, integration, performance).
- Handle errors and exceptions gracefully.
- Implement structured logging and observability.
- Optimize Python code performance.
- Write asynchronous code with asyncio.
- Apply design patterns in Python.
- Profile and debug Python applications.
- Scale Python applications with horizontal and vertical strategies.
- Implement caching and database optimization.
Career Benefits
- Write production-ready code that meets industry standards.
- Build confidence in deploying Python applications to production.
- Develop skills for senior and lead developer roles.
- Gain hands-on experience with testing, logging, and monitoring.
- Enhance your portfolio with production-quality projects.
- Improve employability for backend developer, senior engineer roles.
- Build skills applicable to any company using Python in production.
Who Should Attend
- Python Developers — Professionals moving from scripts to applications.
- Backend Engineers — Individuals building production systems.
- Full-Stack Developers — Developers adding backend capabilities.
- Data Scientists — Professionals transitioning to software engineering.
- Software Engineers — Individuals improving their Python skills.
- Technical Leads — Managers overseeing development teams.
- Students & Career Changers — Learners preparing for senior roles.
- Engineering Professionals — Anyone interested in production-grade Python development.
Prerequisites & Requirements
Prerequisites
- Solid Python programming knowledge (functions, classes, modules, packages).
- Experience writing Python scripts or small applications.
- Basic understanding of web concepts and APIs.
- Comfortable working with the command line/terminal.
- Basic understanding of Git and version control.
- Familiarity with virtual environments is helpful but not required.
Requirements
- Laptop with at least 2GB RAM (GB recommended for smoother performance).
- All learning facilities are provided on-site, including high-speed internet, projectors, writing materials, and refreshments.
- Administrative rights on your laptop to install R, RStudio, and necessary packages.
- Sufficient free disk space (at least 2GB) for software installation and project files.
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