Data Structures and Algorithms in Python | 25. List Comprehension by Abraham | Learn Smarter
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25. List Comprehension

The chapter covers list comprehensions in Python, discussing how to apply functions across lists, filter elements based on conditions, and generate new sets using comprehensions. It emphasizes the difference between functions like map and filter and the importance of constructing two-dimensional data structures correctly to avoid unintended data manipulation. The chapter further illustrates practical uses of these concepts in solving problems such as identifying Pythagorean triples.

Sections

  • 25.1

    List Comprehension

    This section introduces list comprehension in Python, allowing for efficient and concise manipulation of lists using functional programming techniques.

    Learning Practice

  • 25.1.1

    Using Map Function

    The section covers the usage of the built-in map function in Python to apply a specific function to each element in a list.

    Learning Practice

  • 25.1.2

    Using Filter Function

    The section discusses the use of the filter function in Python to extract elements from a list that satisfy a specified property.

    Learning Practice

  • 25.1.3

    Select Function

    This section dives into list comprehension, highlighting functions like map and filter to operate on lists in Python.

    Learning Practice

  • 25.1.4

    Pythagorean Triples

    This section discusses Pythagorean triples and how to generate them using list comprehensions in Python.

    Learning Practice

  • 25.1.5

    Combining Map And Filter

    This section covers the use of Python's built-in functions, `map` and `filter`, to manipulate lists effectively, including the combination of these functions through list comprehensions.

    Learning Practice

  • 25.1.6

    List Comprehension In Python

    This section introduces list comprehensions in Python, highlighting their use for manipulating lists through mapping and filtering operations.

    Learning Practice

  • 25.1.7

    Initializing Matrices

    This section introduces the concept of initializing matrices in Python using list comprehensions, discussing the operations of map and filter as well.

    Learning Practice

  • 25.1.8

    Creating A List Of Zeros

    This section covers the creation and manipulation of lists in Python, particularly focusing on list comprehensions, and using functions like map and filter.

    Learning Practice

  • 25.1.9

    Summarizing Map And Filter

    This section explains Python's built-in functions `map` and `filter`, demonstrating how to manipulate lists efficiently using these tools and list comprehensions.

    Learning Practice

  • 25.2

    Function Definitions

    This section focuses on function definitions in Python, emphasizing operations on lists such as mapping and filtering, along with using list comprehensions.

    Learning Practice

  • 25.2.1

    Defining Square Function

    This section discusses the concept of defining a square function and introduces list comprehensions in Python for functional programming.

    Learning Practice

  • 25.2.2

    Defining Iseven Function

    The section discusses the 'iseven' function and various methods to manipulate lists in Python, including list comprehensions and the use of built-in functions like map and filter.

    Learning Practice

  • 25.3

    Examples

    This section covers list comprehensions in Python, showcasing how to effectively manipulate lists with functions such as map and filter.

    Learning Practice

  • 25.3.1

    Square Of Even Numbers

    This section introduces the concept of using list comprehensions in Python to square even numbers efficiently, highlighting the use of filter and map functions.

    Learning Practice

  • 25.3.2

    Pythagorean Triple Examples

    This section explores Pythagorean triples, which are sets of three integers that satisfy the equation xĀ² + yĀ² = zĀ², demonstrating how to generate such triples using Python list comprehensions.

    Learning Practice

  • 25.4

    Handling Duplicates

    This section discusses handling duplicates in Python, especially in the context of generating sets like Pythagorean triples.

    Learning Practice

  • 25.4.1

    Eliminating Duplicate Triples

    This section discusses how to effectively eliminate duplicate triples in Python, particularly when generating Pythagorean triples.

    Learning Practice

  • 25.5

    Initialization With List Comprehension

    This section introduces list comprehension in Python, a concise way to initialize and manipulate lists using expressions.

    Learning Practice

References

Chapter 25.pdf

Class Notes

Memorization

What we have learnt

  • List comprehensions are a p...
  • Map and filter functions al...
  • Improper initialization of ...

Final Test

Revision Tests