Growth Engineering with Python: Automating SEO, Ads, Experiments, and Recommendation Systems

Author:   Alice Schwartz ,  Hayden Van Der Post
Publisher:   Independently Published
ISBN:  

9798241994813


Pages:   532
Publication Date:   31 December 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Our Price $110.85 Quantity:  
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Growth Engineering with Python: Automating SEO, Ads, Experiments, and Recommendation Systems


Overview

Reactive PublishingGrowth Engineering with Python is a practical guide to building scalable, automated growth systems using code, data, and experimentation. Written for operators, marketers, founders, and technical growth teams, this book shows how Python becomes the control layer for modern digital businesses. Instead of treating SEO, advertising, experimentation, and recommendations as isolated tactics, this book reframes them as engineering problems. You'll learn how to design repeatable pipelines that ingest data, run experiments, adapt strategies, and compound results over time with minimal manual intervention. The book walks through how Python is used to automate the full growth stack: Programmatic SEO analysis, scraping, keyword intelligence, and content scaling Ad performance analytics, bid optimization, attribution modeling, and budget automation A/B testing pipelines, experiment orchestration, and statistical decision engines Recommendation systems that personalize content, products, and user journeys Feedback loops that connect user behavior directly back into growth algorithms Rather than focusing on surface-level tools or dashboards, Growth Engineering with Python dives into the underlying mechanics: data pipelines, model-driven decision making, experimentation frameworks, and system-level thinking. You'll see how high-performing digital-first companies replace intuition with measurable, automated growth processes. This book emphasizes real-world implementation over theory. Code patterns, architectural concepts, and workflow designs are presented with clarity, making them adaptable across industries, from SaaS and e-commerce to media, publishing, and marketplaces. If you're looking to move beyond manual marketing, fragile funnels, and disconnected analytics, and instead build durable, self-improving growth systems, this book provides the blueprint. Growth Engineering with Python is not about hacks. It's about building machines that learn, adapt, and scale.

Full Product Details

Author:   Alice Schwartz ,  Hayden Van Der Post
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 15.20cm , Height: 2.70cm , Length: 22.90cm
Weight:   0.703kg
ISBN:  

9798241994813


Pages:   532
Publication Date:   31 December 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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