Edinburgh Napier University • 26-28 Nov, 2026

Python
E-Commerce Forum

Discover how Python is empowering the future of e-commerce. Join industry experts, developers, and researchers for 3 days of deep-dives into personalisation, AI marketing, and intelligent platforms.

View Agenda
20+

Industry Speakers

Learn from top engineers and researchers driving e-commerce innovation.

10+

Hands-On Workshops

Practical sessions covering feature engineering, streaming, and more.

300

Attendee Limit

Exclusive capacity to ensure high-quality networking and interactive learning.

Python Code

Transforming Retail with Code

A 3-day in-person forum dedicated to exploring how Python empowers the future of e-commerce.

From cutting-edge personalisation algorithms to AI-powered marketing automation and intelligent voucher ecosystems, we gather to share practical insights, technical frameworks, and real-world case studies. The event features technical deep-dives, interactive demos, and strategic discussions—providing a full-spectrum view of how Python transforms the e-commerce landscape.

Keynote Speakers

Sebastian Raschka

Sebastian Raschka

Python's Evolving Role in AI

The Python E-Commerce Forum sits at the intersection of modern retail and the AI world. For technical leaders and developers, a critical question remains: how will Python scale as e-commerce AI infrastructure matures?

Sebastian Raschka's keynote will explicitly address this shift. While Python is the undisputed language for prototyping personalisation algorithms and predictive marketing models, the heavy lifting for real-time recommendation engines often moves to Rust, C++, or custom kernels. Understanding where Python excels—and where it hands off to lower-level systems—is vital for building high-performance retail platforms.

Raschka brings unparalleled expertise to this challenge. Known for his foundational PyTorch tutorials and co-developing LitGPT at Lightning AI, his deep understanding of machine learning architectures offers invaluable insights for teams deploying intelligent shopping assistants and large-scale AI pipelines into production.

Ryan Lee

Ryan Lee

Scaling Next-Gen E-Commerce Architectures

At the bleeding edge of retail engineering, the demand for high-availability systems running complex machine learning inferences in real-time has never been greater. Ryan Lee will address how the modern e-commerce stack is evolving to meet these challenges.

Ryan's keynote will explore the intersection of data science and platform engineering, focusing on how organisations can bridge the gap between building intelligent prototypes and deploying them seamlessly to millions of concurrent users. He will discuss architectural patterns, the strategic role of Python in the service mesh, and the integration of highly performant microservices.

Bringing years of hands-on experience scaling distributed systems, Ryan has consistently contributed to major open-source infrastructure tools used throughout the retail sector. His insights will prove invaluable for technical leaders and developers looking to future-proof their commercial platforms in an AI-first paradigm.

Event Location

Edinburgh Napier University
10 Colinton Rd, Edinburgh EH10 5DT

Agenda Highlights

10:00 - 11:30

Architecting Personalisation Engines

  • Building Recommender Systems with Python: Collaborative Filtering and Hybrid Models
  • Real-Time Personalised Product Ranking with Python Pipelines
  • Context-Aware Personalisation: Leveraging Session Data and Behavioural Signals
13:30 - 15:00

Data Engineering for Personalisation

  • Designing Scalable Data Lakes for E-Commerce Personalisation
  • Feature Stores and Real-Time Feature Engineering with Python (Featuretools, Feast, Pandas)
  • Model Deployment Strategies: Serving Python Models at Scale (FastAPI, TensorFlow Serving, Docker)
15:00 - 16:00

Interactive Segment

  • Hands-On Demo: Build a Real-Time Personalised Product Recommender Using Python
10:00 - 11:30

AI in Marketing Automation

  • Automated Customer Segmentation with Python Clustering Algorithms
  • Predictive Lifetime Value Models: Targeting High-Value Customers
  • Python Workflows for Multi-Channel Campaign Orchestration
13:30 - 15:00

Intelligent Coupon Marketing Systems

  • Dynamic Voucher Personalisation: AI-Powered Discount Targeting Using Python
  • Detecting Voucher Abuse and Redemption Fraud: Anomaly Detection Pipelines
  • Case Study: Optimising Voucher Campaigns with Real-Time Analytics (Kafka, Python, Streamlit)
15:00 - 16:00

Interactive Segment

  • AI Hackathon: Build a Python Pipeline to Auto-Generate Personalised Voucher Campaigns
10:00 - 11:30

Platform Architecture & Microservices

  • Building Scalable E-Commerce Platforms with Python Microservices
  • Asynchronous Processing in Order Management and Payment Systems (Celery, FastAPI, Redis Streams)
  • Designing Event-Driven Architectures with Python & Kafka
13:30 - 15:00

Security, Privacy & Ethics in E-Commerce AI

  • Data Privacy Compliance in Personalised Systems (GDPR, CCPA, Python SDKs)
  • AI Ethics in Targeted Marketing: Responsible Algorithmic Decisions
  • Cybersecurity Considerations for Customer Data and Payment Processing
15:00 - 16:00

Interactive Segment

  • Open Q&A - Live Audience Discussion with Panel Experts

Supplementary Programmes

  • Python Applied Workshops Limited Seats
    • Advanced Feature Engineering for E-Commerce with Python
    • Real-Time Personalisation with Streaming Data
  • Fireside Chats
    Behind the Scenes with FastAPI, Pandas, and Scikit-Learn Maintainers.
  • Startup Showcase
    New Ventures Leveraging Python for Next-Gen E-Commerce Solutions.

Stay Updated

Join the CodeHut newsletter to get the latest updates about the conference, speaker announcements, and early ticket access.

Get Involved

Want to help make this event incredible? Join our volunteer team.

Discover Edinburgh

Join us in Scotland's stunning capital — a city where ancient history, striking architecture, and a rapidly expanding global tech scene meet.

Edinburgh Castle
Historic Streets of Edinburgh
Edinburgh Cityscape
Supported by Our Partners