Make Python Faster (PDF)

A practical guide to writing more performant Python.

Table of Contents:

• ❓ When to Optimise
• 🐍 Python's Execution Model
• 🧠 Algorithm Complexity
• 🔎 Profiling Tools
• 🏗️ Built-in Data Structures
• ⚙️ NumPy, Pandas, and More
• 😵‍💫 Non-Linear Execution
• 🚀 Alternative Python Interpreters
• 🏃 Leaving Interpretation
• 🧩 Memory Management
• 🌐 Performant Web Applications
• ✅ Final Checklist

Read online for free at https://makepythonfaster.com

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