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SQL for Python Developers: A Hands-On Guide to Data-Driven Applications
by Dr Stephen V. Diaz
Sponsored
Synopsis
SQL for Python Developers: A Hands-On Guide to Data-Driven Applications
Brief Hook
Stop treating your database like a "black box" or a messy file cabinet. This hands-on guide bridges the gap between Python and SQL, turning you into a truly data-driven developer.
Book Summary
This book is a ...
Brief Hook
Stop treating your database like a "black box" or a messy file cabinet. This hands-on guide bridges the gap between Python and SQL, turning you into a truly data-driven developer.
Book Summary
This book is a ...
SQL for Python Developers: A Hands-On Guide to Data-Driven Applications
Brief Hook
Stop treating your database like a "black box" or a messy file cabinet. This hands-on guide bridges the gap between Python and SQL, turning you into a truly data-driven developer.
Book Summary
This book is a practical, project-based journey for Python developers who need to master database interaction. Forget dry, theoretical references; this guide teaches you SQL from your Python script, starting with the fundamentals. You'll first build a complete data layer from scratch with raw SQL, mastering everything from CREATE TABLE and INSERT to complex JOINs and GROUP BY reports.
Once you've built a rock-solid foundation, you'll "level up" by refactoring your entire project to use the industry-standard SQLAlchemy ORM. You'll translate your raw queries into clean, maintainable, and object-oriented Python code, learning the modern patterns used to build scalable, professional applications.
Finally, you'll put your new skills to the test by building two complete, real-world case studies. You'll build a high-performance, production-ready REST API with FastAPI (using dependency injection for session management) and a complete ETL (Extract, Transform, Load) analytics pipeline using Pandas to query, analyze, and store reports.
Why Choose this Book?
Learn by Doing: Master every concept with complete, working code examples, not just abstract snippets.
Bridge the Gap: Go from raw, fundamental SQL to the powerful SQLAlchemy ORM, understanding the "why" behind the magic, not just the "how."
Build Real-World Projects: Apply your skills by building two capstone projects: a data-driven API with FastAPI and an analytics pipeline with Pandas.
Professional Patterns: Learn the complete workflow, from secure, parameterized queries and connection pooling in PostgreSQL to defining Pydantic schemas and separating your data layer from your API.
Call-to-Action
Stop guessing and start building. Get your copy today and become the data-driven Python developer that companies are looking for!
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