Computing in Python III: Data Structures

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Overview

Learn about more complex ways of handling data, specifically in Python but with broader applications to other programming languages. This course, offered through the edX® platform, covers strings, lists, dictionaries, and file input and output for building complex, useful programs.

Build on your existing knowledge of conditionals, loops, and functions by studying more about complex Python data structures, including strings, lists, dictionaries, and file input and output.

Organised into five chapters, this course starts by covering the basics of data structures, then moves on to these four common data structures in Python: Strings let you perform far more complex reasoning with text.

Lists let you process long lists of data and even lists of lists of data for more complex reasoning. Dictionaries let you more clearly code for complex types of data, and even simulate some basic elements of object-oriented programming. File input and output brings your programs to life, allowing you to persist data across executions of the same program.

By the end of this course, you'll be able to write even more complex programs in Python that process and persist complex data structures. For example, you'll be able to write an ongoing gradebook application that tracks and updates your average over time, a program to calculate the net force based on several force magnitudes and directions, or a program that can turn a string like this into a StRiNg LiKe tHiS.

Structurally, the course is comprised of several parts. Instruction is delivered via a series of short (2-3 minute) videos. In between those videos, you'll complete both multiple choice questions and coding problems to demonstrate your knowledge of the material that was just covered.

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The X-Series Programme is comprised of the following courses:

Computing in Python I: Fundamentals and Procedural Programming
This course, offered through the edX® platform, starts from the beginning, covering the basics of how a computer interprets lines of code; how to write programs, evaluate their output, and revise the code itself; how to work with variables and their changing values; and how to use mathematical, boolean, and relational operators.
View the course

Computing in Python II: Control Structures
Organised into five chapters, this course starts by covering the fundamentals of what control structures are and what they do, then moves on to four common control structures in Python. By the end of this course, you'll be able to write complex programs in Python that perform useful reasoning. By the end of this course, you'll be able to write complex programs in Python that perform useful reasoning.
View the course

Computing in Python III: Data Structures
Learn about more complex ways of handling data, specifically in Python but with broader applications to other programming languages. This course, offered through the edX® platform, covers strings, lists, dictionaries, and file input and output for building complex, useful programs.
View the course

Computing in Python IV: Objects & Algorithms
Learn about the more advanced applications of introductory computer science by covering search algorithms, sorting algorithms, and object-oriented programming. Taught in Python, these lessons are readily generalisable to other languages as well. Complete your introductory knowledge of computer science with this final course on objects and algorithms.
View the course

Prerequisites:
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.

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  • Start Date
    1 April 2019
  • Programme duration
    5 weeks
  • Estimated effort
    9 to 10 hours per week
  • Fee
    R1007
  • Institution
    GTx
  • Language
    English
Start Dates

Programme Outcomes / What you will Learn

  • Learn Strings, including advanced string methods.
  • Tuples and lists, including multi-dimensional lists.
  • File input and output, including multiple modes for file access.
  • Dictionaries, including replicating object-oriented reasoning using dictionaries.
  • Using control structures with data structures, such as looping over lists or error handling with files.

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 organising 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.
Organising 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.

Meet Student Advisors

Arlene Lanser

Pearson Student Advisor

Meet our Faculty

David Joyner

Lecturer at the College of Computing