Python 3: Deep Dive (Part 2 – Iterators, Generators) Udemy Coupon Code. Sequences, Iterables, Iterators, Generators, Context Managers
Python 3 Course Overview
Part 2 of this Python 3: Deep Dive series is an in-depth look at:
- sequences
- iterables
- iterators
- generators
- comprehensions
- context managers
I will show you exactly how iteration works in Python – from the sequence protocol, to the iterable and iterator protocols, and how we can write our own sequence and iterable data types. We’ll go into some detail to explain sequence slicing and how slicing relates to ranges.
We look at comprehensions in detail as well and I will show you how list comprehensions are actually closures and have their own scope, and the reason why subtle bugs sometimes creep in to list comprehensions that we might not expect.
We’ll take a deep dive into the itertools module and look at all the functions available there and how useful (but overlooked!) they can be. We also look at generator functions, their relation to iterators, and their comprehension counterparts (generator expressions).
Context managers, an often overlooked construct in Python, is covered in detail too. There we will learn how to create and leverage our own context managers and understand the relationship between context managers and generator functions.
Each section is followed by a project designed to put into practice what you learn throughout the course.
This course series is focused on the Python language and the standard library. There is an enormous amount of functionality and things to understand in just the standard CPython distribution, so I do not cover 3rd party libraries – this is a Python deep dive, not an exploration of the many highly useful 3rd party libraries that have grown around Python – those are often sufficiently large to warrant an entire course unto themselves! Indeed, many of them already do!
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Python Deep Dive Course Reviews
Everything You Need to Know Python 3: Deep Dive (Part 2 – Iterators, Generators)
This course is a comprehensive and well-structured introduction to Python 3: Deep Dive (Part 2 – Iterators, Generators). The instructor, Dr. Fred Baptiste, is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Programming Languages. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Python 3: Deep Dive (Part 2 – Iterators, Generators). It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.