Complex Data Types in Python: Working with Lists & Tuples in Python

Python    |    Beginner
  • 14 videos | 1h 39m 1s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 801 users Rating 4.6 of 801 users (801)
Learn how to work with lists, tuples, and strings in Jupyter notebook in Python in this 14-video course. You will discover similarities and differences between tuples and lists and see how strings are essentially just a list of characters. Begin with an introduction to lists, and then create and initialize lists in Python. You will then access and update list elements; add, remove, sort, and reverse elements from a list; execute built-in functions with lists, and create new lists from existing lists by using slicing operations. Next, examine how to extract specific elements from the original list using step size; perform list functions on strings; invoke functions on the string object; and access substrings with slicing operations. Receive an introduction to tuples, exploring the similarities between lists and tuples, then move on to understanding tuple immutability by specifying differences between lists and tuples. Then an introduction to other complex data types and using dictionaries and sets in Python. The concluding exercise concerns recalling differences and similarities between lists and tuples.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Create and initialize lists in python
    Access and update list elements
    Add, remove, sort, and reverse elements from a list
    Executing built-in functions with lists
    Create new lists from existing lists using slicing operations
    Extract specific elements from the original list using step size
  • Perform list functions on strings
    Invoke functions on the string object
    Access substrings using slicing operations
    Specify the similarities between lists and tuples
    Specify the differences between lists and tuples
    Use dictionaries and sets in python
    Recall the ways in which lists and tuples are similar and different

IN THIS COURSE

  • 2m 19s
  • 8m 18s
    During this video, you will learn how to create and initialize lists in Python. FREE ACCESS
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    3.  Performing Simple List Operations
    6m 26s
    In this video, you will learn how to access and update list elements. FREE ACCESS
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    4.  Performing Useful List Operations
    9m 2s
    In this video, you will learn how to add, remove, sort, and reverse elements in a list. FREE ACCESS
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    5.  Using Built-in Functions with Lists
    6m 9s
    In this video, you will learn how to execute built-in functions with lists. FREE ACCESS
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    6.  Perform Slicing Operations on Lists
    6m 53s
    In this video, you will create new lists from existing lists using slicing operations. FREE ACCESS
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    7.  Using Step Size in Slicing Operations
    7m 10s
    In this video, find out how to extract specific elements from the original list using a step size. FREE ACCESS
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    8.  Working with Strings as a List of Characters
    7m 49s
    In this video, learn how to perform list functions on strings. FREE ACCESS
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    9.  Invoking Functions on Strings
    7m 15s
    In this video, you will learn how to invoke functions on the string object. FREE ACCESS
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    10.  Perform Slicing Operations on Strings
    8m 15s
    To find out how to access substrings using slicing operations, consult a Python reference guide or search online. FREE ACCESS
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    11.  Introducing Tuples
    9m 15s
    After completing this video, you will be able to specify the similarities between lists and tuples. FREE ACCESS
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    12.  Understanding Tuple Immutability
    8m 39s
    After completing this video, you will be able to specify the differences between lists and tuples. FREE ACCESS
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    13.  Introducing Other Complex Data Types
    6m 22s
    During this video, you will learn how to use dictionaries and sets in Python. FREE ACCESS
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    14.  Exercise: Lists, Tuples, Similar Yet Different
    5m 10s
    Upon completion of this video, you will be able to recall the ways in which lists and tuples are similar and different. FREE ACCESS

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