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Python 3: Deep Dive (Part 1 – Functional)

Variables, Functions and Functional Programming, Closures, Decorators, Modules and Packages
4.8
4.8/5
(7,880 reviews)
38,615 students
Created by

10.0

Classbaze Grade®

10.0

Freshness

9.8

Popularity

10.0

Material

Variables
Platform: Udemy
Video: 46h 6m
Language: English
Next start: On Demand

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Classbaze Grade®

10.0 / 10

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Freshness

10.0 / 10
This course was last updated on 4/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.8 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

10.0 / 10
Video Score: 10.0 / 10
The course includes 46h 6m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 31 minutes of 1,582 Python courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
171 resources.
0 exercise.
0 test.

In this page

About the course

Hello!
This is Part 1 of a series of courses intended to dive into the inner mechanics and more complicated aspects of Python 3.
This is not a beginner course – if you’ve been coding Python for a week or a couple of months, you probably should keep writing Python for a bit more before tackling this series.
On the other hand, if you’re now starting to ask yourself questions like:
•I wonder how this works?
•is there another way of doing this?
•what’s a closure? is that the same as a lambda?
•I know how to use a decorator someone else wrote, but how does it work? Can I write my own?
•why isn’t this boolean expression returning a boolean value?
•what does an import actually do, and why am I getting side effects?
•and similar types of question…
then this course is for you.
Please make sure you review the pre-requisites for this course (below)  – although I give a brief refresh of basic concepts at the beginning of the course, those are concepts you should already be very comfortable with as you being this course.
In this course series, I will give you a much more fundamental and deeper understanding of the Python language and the standard library.
Python is called a “batteries-included” language for good reason – there is a ton of functionality in base Python that remains to be explored and studied.
So this course is not about explaining my favorite 3rd party libraries – it’s about Python, as a language, and the standard library.
In particular this course is based on the canonical CPython. You will also need Jupyter Notebooks to view the downloadable fully-annotated Python notebooks.
It’s about helping you explore Python and answer questions you are asking yourself as you develop more and more with the language.

In Python 3: Deep Dive (Part 1) we will take a much closer look at:
•Variables – in particular that they are just symbols pointing to objects in memory
•Namespaces and scope
•Python’s numeric types
•Python boolean type – there’s more to a simple or statement than you might think!
•Run-time vs compile-time and how that affects function defaults, decorators, importing modules, etc
•Functions in general (including lambdas)
•Functional programming techniques (such as map, reduce, filter, zip, etc)
•Closures
•Decorators
•Imports, modules and packages
•Tuples as data structures
•Named tuples
To get the most out of this course, you should be prepared to pause the coding videos, and attempt to write code before I do! Sit back during the concept videos, but lean in for the code videos!

Course Prerequisites
This is an intermediate to advanced Python course.
To have the full benefit of this course you should be comfortable with the basic Python language including:
•variables and simple types such as str , bool , int  and float  types
•for  and while  loops
•if…else…  statements
•using simple lists , tuples , dictionaries  and sets
•defining functions (using the def  statement)
•writing simple classes using the class  keyword and the __init__  method, writing instance methods, creating basic properties using @property decorators
•importing modules from the standard library (e.g. import math)

You should also:
•have Python 3.6 (or higher) installed on your system
•be able to write and run Python programs using either:
•the command line, or
• a favorite IDE (such as PyCharm),
•have Jupyter Notebooks installed (which I use throughout this course so as to provide you fully annotated Python code samples)

What can you learn from this course?

✓ 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

What you need to start the course?

• Basic introductory knowledge of Python programming (variables, conditional statements, loops, functions, lists, tuples, dictionaries, classes).
• You will need Python 3.6 or above, and a development environment of your choice (command line, PyCharm, Jupyter, etc.)

Who is this course is made for?

• Anyone with a basic understanding of Python that wants to take it to the next level and get a really deep understanding of the Python language and its data structures.
• Anyone preparing for an in-depth Python technical interview.

Are there coupons or discounts for Python 3: Deep Dive (Part 1 - Functional) ? What is the current price?

The course costs $19.99. And currently there is a 83% discount on the original price of the course, which was $119.99. So you save $100 if you enroll the course now.
The average price is $20.1 of 1,582 Python courses. So this course is 1% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Python 3: Deep Dive (Part 1 - Functional) course?

YES, Python 3: Deep Dive (Part 1 – Functional) has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Python 3: Deep Dive (Part 1 - Functional) course, but there is a $100 discount from the original price ($119.99). So the current price is just $19.99.

Who will teach this course? Can I trust Fred Baptiste?

Fred Baptiste has created 4 courses that got 12,611 reviews which are generally positive. Fred Baptiste has taught 44,411 students and received a 4.8 average review out of 12,611 reviews. Depending on the information available, we think that Fred Baptiste is an instructor that you can trust.
Professional Developer and Mathematician
Hi,
My name is Fred Baptiste.
I started my career with a PhD in mathematics and have been programming professionally for over 25 years in a variety of technologies and languages, including Python, .Net (C# and VB), Java, C++, and JavaScript to name a few, and databases including relational SQL databases such as MS SQL Server and Postgres as well as No-SQL databases such as MongoDB, Couchbase and Neo4j.
Since 2011 I have been focused on Python almost exclusively, mainly in REST API development and data management and analysis.
I have spent a lot of time and effort learning and gaining an in-depth understanding of Python and writing idiomatic Python, and I’d like to share that with you.
I’m definitely a Python enthusiast for many reasons, and I’d like to share that passion with you too!
Browse all courses by on Classbaze.

10.0

Classbaze Grade®

10.0

Freshness

9.8

Popularity

10.0

Material

Platform: Udemy
Video: 46h 6m
Language: English
Next start: On Demand

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