Iterators and Generators in Python

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Exercise Files

$ curl -o exercise_files.zip https://raw.githubusercontent.com/mimseyedi/Iterators_and_Generators_Course/master/exercise_files.zip

Topics

• Introduction
  • What are Iterators and Generators?
  • What you will learn
  • Requirements
• Understanding Iteration in Python
  • Repating codes
  • Loops
    • While loop
    • For loop
      • Numeric range base
      • Three expression base
      • Iterator base
• Iterables
  • What is iterable?
  • Iterable protocol
    • __iter__() magic method
• Iterators
  • What is iterator?
  • Iterator protocol
    • __iter__() magic method
    • __next__() magic method
  • StopIteration exception
  • For-loop
    • Implementing a For-loop without using the for keyword
  • Built-in functions, iter() and next()
    • Review and analyze the source of these functions in CPython
    • Implementing these functions
• Types of Iterators
  • Classic
    • Linked-List iterator
  • Transformer
    • Square
    • Implementing a map() iterator
  • Generator
    • Fibonacci
    • Implementing range() as an iterator
• Generators
  • What is generator?
    • yield keyword
  • Types of generators
    • Classic
    • Transformer
    • Generator
  • Generator expression
    • Nested generators
  • Monitoring generators execution
    • frame objects
    • Generator properties
      • gi_frame
      • gi_running
      • gi_suspended
• Generator Methods
  • send() method
    • Reimplementing the next() function
    • Interactive range()
  • throw() method
    • Responsiveness
    • Error tracking
  • close() method
    • Resource management
• Generator-based Coroutines
  • Introduction to Execution Models
    • Sequential
    • Parallelism
      • Multi-Processing
    • Concurrency
      • Multi-Threading
      • Python GIL
      • Asynchronous Programming
  • yield from statement
  • Implementing coroutines
    • Generator-based coroutine
    • Implementing coroutines using async/await
    • asyncio Module
  • Async objects
    • AsyncIterator
    • AsyncGenerator
    • AsyncContectManager
      • aiohttp Module
• Memory-Efficient Data Processing
  • Iterators vs Containers
  • Pipelines
• itertools Module
  • Infinite Iterators
    • count
    • cycle
    • repeat
  • Terminating Iterators
    • chain
    • accumulate
    • compress
    • filterfalse
    • dropwhile
    • takewhile
    • starmap
    • islice
    • batched
    • zip_longest
    • pairwise
  • Combinatoric Iterators
    • product
    • permutation
    • combinations
    • combinations_with_replacement
  • itertools Recipes
• Additionals
  • Iterators constraints
    • Disposable
    • One-way iteration
    • No support for indexes and slices
  • Iterators vs Iterables
  • Reversible objects
    • Reversible protocol
      • __reversed__() magic method
    • Built-in reversed function
      • Implementing this function
  • more-itertools Module
    • Installation
    • Iterators
      • Grouping
      • Lookahead and lookback
      • Windowing
      • Augmenting
      • Combining
      • Summarizing
      • Selecting
      • Math
      • Combinatorics
      • Wrapping
      • Others
• Conclusion
  • References