Embark on a deep dive into Python 3 to explore the intricacies of iteration, from the sequence and iterable protocols to writing custom data types. Discover the nuances of sequence slicing, comprehensions, closures, and how list comprehensions have distinct scopes that can sometimes lead to unexpected bugs.
Course Overview
In Part 2 of the Python 3: Deep Dive series, we will thoroughly examine:
- Sequences
- Iterables
- Iterators
- Generators
- Comprehensions
- Context Managers
- Generator-based Coroutines
This module will delve into the itertools module, uncovering the less commonly known but incredibly useful functionalities available.
We will explore generator functions, their link to iterators, and their comprehension alternatives through generator expressions.
An often overlooked construct, context managers, will be examined in detail. Here, we’ll learn to create and utilize custom context managers and understand their relationship with generator functions.
Moreover, we’ll discover how generators can be employed to create coroutines.
Each section concludes with a project designed to reinforce the concepts learned throughout the course.
This series focuses solely on the Python language and its standard library. Given the substantial functionality embedded in the CPython distribution, third-party libraries are not covered though they are integral to Python’s ecosystem.
Please note: This is an advanced Python course requiring strong foundational knowledge in key areas.
Prerequisites
You should already have an in-depth understanding of the following topics:
- Functions and function arguments
- Packing and unpacking iterables using *
- Closures and decorators
- Boolean truth values and their association with objects
- Named tuples
- Functions:
zip,map,filter,sorted,reduce - Lambdas
- Importing modules and packages
You should also have a foundational knowledge of the following:
- Various data types: numeric, string, lists, tuples, dictionaries, sets, etc.
- Loop constructs:
for,while,break,continue, and else clauses - Control flow with
ifstatements - Exception handling:
try...except...else...finally... - Basic class creation and use (methods, properties)
- Understanding special methods such as
__init__,__eq__,__lt__, etc.
Course Requirements
- This advanced course requires familiarity with basic Python concepts and a deeper understanding of specific areas. Please review the prerequisites before enrolling.
- A working environment with Python 3.6 or later, using tools such as command line, PyCharm, or Jupyter, is necessary.
Target Audience
- Python developers aiming to deepen their understanding of sequences, iterators, generators, and context managers.
Learning Outcomes
Upon completing this course, you will be able to:
- Enhance your Python programming skills through advanced concepts
- Understand sequence types and the sequence protocol
- Master iterables and the iterable protocol
- Explore iterators and the iterator protocol
- Connect list comprehensions and closures
- Create and utilize generator functions
- Differentiate generator expressions
- Harness context managers
- Create context managers using generator functions
- Implement generators as coroutines
