Deep
Dive
Python

Techniques & Best Practices for Developers

Written by Adarsh Divakaran
Scroll
Deep Dive Python book cover
New Release
Real OSS Examples Production Patterns Advanced Concepts Best Practices 80%+ Open Source Code Real OSS Examples Production Patterns Advanced Concepts Best Practices 80%+ Open Source Code
Real OSS Examples Production Patterns Advanced Concepts Best Practices 80%+ Open Source Code Real OSS Examples Production Patterns Advanced Concepts Best Practices 80%+ Open Source Code

Learn Python the way experts actually use it.

Deep Dive Python explains Python concepts using open‑source examples. Readers see real‑world usage of core features and patterns, and more than 80% of the book's code snippets are drawn directly from open‑source projects. Learn not just how Python works, but how it is applied in production‑grade software.

80%+ Real OSS Code
15+ Core Topics
100s Examples

What You'll
Master

The book covers most of Python's core standard library features, with practical examples from popular open‑source projects.

01

Data Structures

Use Python's core data structures idiomatically and efficiently.

02

Decorators & Metaclasses

Apply decorators, descriptors, metaclasses, and ABCs to real design problems.

03

Functional Patterns

Adopt functional patterns with functools for clarity and reuse.

04

Iteration Mastery

Master generators, custom iterators, and the itertools toolbox.

05

Concurrency Models

Choose the right concurrency model for latency vs. throughput trade‑offs.

06

Packaging & Testing

Package, test, and document libraries the way successful OSS projects do.

🐍

For Experienced Python Developers

This book is designed for experienced Python developers who want practical, production‑oriented mastery. If you're ready to go beyond tutorials and understand how Python is used in the real world, this book is for you.

Adarsh Divakaran

Adarsh Divakaran

Software Engineering Specialist @ xAI

Adarsh is a Python geek and an experienced Backend Developer with expertise in building APIs using Python. He is currently working as a Software Engineering Specialist in the Human Data team at xAI.

Adarsh began his speaker journey by presenting at the GraphQL Summit '22 and has spoken at various international Python conferences, including PyCascades, EuroPython, PyCon US, DjangoCon, and FlaskCon.

Explore his professional journey and insights on his personal website and blog.

Get Your Copy

Preview

Read First

Preview the book before committing

Preview on Google Books