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Computing in Python III: Data Structures

Georgia Institute of Technology via edX

8 Reviews 769 students interested

Taken this course? Share your experience with other students. Write review

Overview

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. Organized 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.

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.

Taught by

David Joyner

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Reviews for edX's Computing in Python III: Data Structures
5.0 Based on 8 reviews

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  • 1
Wim L
5.0 2 months ago
by Wim completed this course, spending 35 hours a week on it and found the course difficulty to be easy.
I have programmed - without taking any course - in Python 2.x more than 10 years ago (and I forgot most of it). I am interested in data science and was looking for a Python course as a first step up. I was also looking at an introductory programming course suitable for my kids; Python is perfect for that.

I have followed all 4 "Computing in Python"- courses, and I feel ready now to take on more advanced Python courses or books.

Each course is divided in 4 chapters, each chapter ends with an "exam", the course ends with a final exam. Each course took about a week to …
Was this review helpful to you? Yes
Stanley M
5.0 3 months ago
Stanley completed this course, spending 16 hours a week on it and found the course difficulty to be hard.
I thoroughly enjoyed the course .Especially how it was structured and the links to additional resources. I found some problem sets to be particularly challenging; however, persistence and reaching out to the awesome TA's usually provided a breakthrough. David Joyner is an excellent teacher.
Was this review helpful to you? Yes
Neville C
5.0 2 months ago
Neville completed this course, spending 6 hours a week on it and found the course difficulty to be easy.
This course teach me about dictionaries and tuples. Why tuples are better than lists in some context. This theoretical explanation was well demonstrated with examples. I highly recommend this course to learn how to program using Python. If you already know how to program, this may be a bit slow.
Was this review helpful to you? Yes
Anonymous
5.0 2 months ago
Anonymous completed this course.
If you want to really learn programming and not just rote codes, this course is for you. David Joyner is really good at clarifying concepts, and the coding problems get tougher as you progress (at least for those new to programming). I will definitely recommend this course.
Was this review helpful to you? Yes
Joachim S
5.0 a month ago
Joachim completed this course, spending 12 hours a week on it and found the course difficulty to be hard.
I could do this in much less than the required 20 words, just say super.

The course is excellent, structure, concept, the high amount of excercises and problem sets make it a perfect learning medium. Thanks to David and please more of this.
Was this review helpful to you? Yes
Anonymous
5.0 a month ago
Anonymous completed this course.
Absolutely amazing lecturer. Was the best course Python course I have taken so far. Lot's of practice and different formats of it helped me to learn a lot. Thank you so much!
Was this review helpful to you? Yes
Anonymous
5.0 a month ago
Anonymous completed this course.
Great course overall, very comprehensive, challenging but doable. Lots and lots of practice which makes all the concepts stick in your head for good. 5 stars.
Was this review helpful to you? Yes
Anonymous
5.0 4 weeks ago
Anonymous completed this course.
Plenty of practice problems, Develops good habit of coding practices. I like the fact that they put more emphasis on problems rather than just teaching theory.
Was this review helpful to you? Yes
  • 1

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