Python 3: Deep Dive (Part 1 - Functional)

Variables, Functions and Functional Programming, Closures, Decorators, Modules and Packages

4.82 (12387 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

An in-depth look at variables, memory, namespaces and scopes

A deep dive into Python's memory management and optimizations

In-depth understanding and advanced usage of Python's numerical data types (Booleans, Integers, Floats, Decimals, Fractions, Complex Numbers)

Advanced Boolean expressions and operators

Advanced usage of callables including functions, lambdas and closures

Functional programming techniques such as map, reduce, filter, and partials

Create advanced decorators, including parametrized decorators, class decorators, and decorator classes

Advanced decorator applications such as memoization and single dispatch generic functions

Use and understand Python's complex Module and Package system

Idiomatic Python and best practices

Understand Python's compile-time and run-time and how this affects your code

Avoid common pitfalls

Course Gallery

Python 3: Deep Dive (Part 1 - Functional) – Screenshot 1 — Screenshot 1 – Python 3: Deep Dive (Part 1 - Functional)

Python 3: Deep Dive (Part 1 - Functional) – Screenshot 2 — Screenshot 2 – Python 3: Deep Dive (Part 1 - Functional)

Python 3: Deep Dive (Part 1 - Functional) – Screenshot 3 — Screenshot 3 – Python 3: Deep Dive (Part 1 - Functional)

Python 3: Deep Dive (Part 1 - Functional) – Screenshot 4 — Screenshot 4 – Python 3: Deep Dive (Part 1 - Functional)

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Comidoc Review

Our Verdict

Python 3: Deep Dive (Part 1) is an excellent intermediate course that focuses on enhancing your understanding of Python 3's intricacies. Despite the absence of exercises and real-world projects, the rich content delivered in a laid-back manner helps to solidify concepts with the help of Jupyter Notebooks. Ideal for those wanting to move beyond basic fluency, this course will strengthen your functional programming skills by dissecting key topics such as closures and decorators.

What We Liked

The course provides a deep dive into Python 3's inner workings, perfect for those seeking a more comprehensive understanding.
Topics like closures, decorators, and modules are explained clearly with real-world examples, enhancing your functional programming skills.
Laid-back presentation style allows complex concepts to be presented in an easy-to-understand manner without feeling overwhelming.
Ample code snippets and Jupyter Notebooks facilitate hands-on learning and experimentation, essential for mastering Python 3.

Potential Drawbacks

geared towards intermediate to advanced students; beginners may find the material challenging to grasp without prior knowledge.
Lack of applied projects or problem-solving exercises might limit practical understanding and long-term retention.
Limited focus on third-party libraries might not cater to those seeking real-world use cases in their learning journey.
Presentation slides could benefit from more visual aids for better information retention and engagement.