Go for
Python Developers
A direct, no-fluff guide. Assumes fluency in Python, comfort with types, and willingness to trade magic for explicitness. Maps every concept to what you already know.
Why Go from Python
Python optimizes for developer velocity — fast iteration, duck typing, rich ecosystem, REPL-driven exploration. Go optimizes for simplicity at scale — fast compilation, static types, built-in concurrency, and deployments that are a single binary with zero dependencies.
The tradeoff is real: Go is more verbose, has no REPL, no decorators, no metaclasses, no operator overloading, no inheritance. It is deliberately boring. But that boringness is the point — a 500-person engineering team can read, modify, and deploy any Go service in the codebase without deciphering clever abstractions.
If you've ever fought with Python packaging across environments, watched a Flask service collapse under concurrent load because of the GIL, deployed a Docker image with a 1.5GB Python runtime for a 200-line script, or spent an hour tracing a TypeError that a compiler would have caught instantly — Go solves those problems by design.
Go doesn't give you powerful abstractions. It gives you a small, rigid language that compiles fast, runs fast, and is readable by anyone on the team six months later.
Mental Model Shift
Python is a dynamically typed, interpreted, GC'd language with deep object-oriented and functional features. Go is a statically typed, compiled, GC'd language that looks procedural, uses composition over inheritance, and treats concurrency as a first-class primitive.
The Five Shifts
It's not the syntax. It's the verbosity. Go forces you to write the if err != nil check. It forces you to write the type. It forces you to handle every case. This feels tedious coming from Python. It's the entire design philosophy — explicit over implicit, always.