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Python 3: Deep Dive (Part 2 - Iteration, Generators) is the second part of a tutorial series published by Udemy that fully teaches the Python programming language. This series is presented in 4 sections and brings advanced topics for professional Python programmers. Python is a high-level language with many capabilities that requires a lot of practice and study to learn. This course focuses entirely on the Python language itself and any questions you may have while coding. This set is offered at the intermediate to advanced level and requires a basic familiarity with the Python language including variables, if and else, simple lists and dictionaries, defining functions, entering standard modules, and basic class definitions.
In the second part of the course, you will be introduced to more advanced topics such as sequences, iterators, iterators, generators, and text management, and generator-based instructions. In fact, this section specifically provides a comprehensive and detailed explanation of the topic of iterable and iterator protocols, the creation of custom iterate data types, slicing and its relationship to ranges, a detailed exploration of the itertools module, It deals with its functions and applications, as well as context management, which is a frequently overlooked topic in the Python language. At the end of each chapter, there is a project to practice the skills taught. The third and fourth sections of this series also teach more advanced topics and tips. It should be noted that mastering some of the topics in the first part of this series is required for this course.
Sequence type and protocol Iterable and iterable
Generator functions and indicators
List comprehensions and its relationship with closures
Context management
Build Context using constructor functions
Use of generators as Coroutines
And
English language
Duration: 34h 40m
Number of lessons: 137 lessons in 13 sections
Level of education: Intermediate
Instructor: Fred Baptiste
File format: mp4
This is a relatively advanced course, so you should already be familiar with basic Python concepts, as well as some in-depth knowledge as described in the prerequisites in the course description. Please be sure you check those and make sure!
You will need Python 3.6 or above, and a development environment of your choice (command line, PyCharm, Jupyter, etc.)
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