Python 3: Deep Dive (Part 1 — Functional)

Fred Baptiste examines the behavior behind Python code rather than rushing through a collection of applications. Part 1 focuses on variables and memory, numerical types, functions, closures, decorators and the module system. That makes it a useful comparison for learners who can already write simple programs but want to understand subtle behavior and explain design choices more precisely.

What you will learn

• Reason about scope, references and function arguments.
• Build and inspect closures or parameterized decorators.
• Understand the relationship between modules, packages and imports.

Who this suits

A basic understanding of Python is expected. This is a detailed language course, so it is a better follow-up to a beginner introduction than a first encounter with programming.

Before you enroll

This listing covers Part 1 only. Other Deep Dive parts are separate courses, and interpreter-specific behavior should be checked against the Python version you actually run.

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Put it into practice

Write a decorator that records how often a function is called. Add an optional label, preserve the wrapped function’s metadata and explain which values live in the enclosing scope.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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