Computing in Python III: Data Structures

Computing in Python III: Data Structures

Course
en
English
45 h
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  • Introductive Level

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Course details

Syllabus

Chapter 1. Data Structures. Building the fundamental types of data – Booleans, integers, floating point numbers, and characters -- into more complex strings, lists, and dictionaries that can be persisted in files.

Chapter 2. Strings. Working with series of characters that can represent plaintext messages, passwords, and more, including all the complexities of combining human language with programming code.

Chapter 3. Lists. Taking fundamental data types like strings, integers, and floats and organizing them into tuples or lists that can represent complex structures of data; or for added complexity, creating lists of lists to create 2-dimensional (or more) data structures.

Chapter 4. File Input and Output. Taking information stored in your code and persisting it in an external file that can last after the program has finished executing, or loading data from a file into a program for processing.

Chapter 5. Dictionaries. Organizing key-value pairs (very similar to variables and values) into higher-level structures that can be easily passed around or reused with some intuitive structure.

Prerequisite

CS1301xII or equivalent knowledge is required. Certain problems may benefit from experience with algebra, geometry, pre-calculus, and trigonometry, but you can succeed without these.

Instructors

David Joyner
Senior Research Associate at the College of Computing
Georgia Institute of Techology

Editor

The Georgia Institute of Technology

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