Python Data Structures: Dictionaries/ with Deepa Muralidhar.

Format:

Video

Author/Creator:

Muralidhar, Deepa, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Video recordings.

Physical Description:

1 online resource

polychrome

Place of Publication:

Carpenteria, CA: linkedin.com, 2020.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

Learn how to use dictionaries to store and retrieve unordered data in Python.

Dictionaries are a common data structure in Python programming, designed to hold a sequence of key-value pairs. Dictionaries are dynamic, can be nested, and are preferable to lists in situations where you would want to search for and retrieve data with the same key. Being able to use dictionaries effectively is critical to mastering Python and create more efficient code. In this course, Deepa Muralidhar reviews the syntax and real-world use cases for dictionaries. Discover how to create a simple dictionary, iterate through the data, incorporate operations and comparators, and compare dictionaries to other common data structures such as lists, sets, and tuples. Plus, find out how to use dictionary comprehension to automate dictionary generation by merging lists or arrays.

Participant:

Presenter: Deepa Muralidhar

Notes:

7/08/2020

Access Restriction:

Restricted for use by site license.