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Georgia Institute of Technology

Computing in Python III: Data Structures

Georgia Institute of Technology via edX

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

4.8 rating, based on 38 reviews

Start your review of Computing in Python III: Data Structures

  • Anonymous

    Anonymous completed this course.

    This is a great course to take for those relatively or completely unfamiliar with the data structures being discussed in the course language (for me in 2018-19, it was Python 3). Though I was somewhat familiar with strings, lists, file input/output,...
  • Wim Leys 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...
  • This is was a great course to follow for understanding data structures (in general). this course give me a good space for practicing and implementing new skills with tests and exercises , I learn a lot about dealing, and manipulate data structures.

    Smartbook or the interactive textbook was a very good place for review information that i take in video lectures, it help me to clear my understanding for topic i take before.
  • Anonymous

    Anonymous completed this course.

    My goal was to learn how to program in Python. This course series continues with a primarily academic exercise focus - too much theory. The textbook skims briefly over subjects as do many of the exercises, without in-depth explanation or sufficient programming...
  • Leslie Herr

    Leslie Herr completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

    I have programmed in several languages for decades. Now that I'm picking up Python, I wanted a thorough grounding, not just a cookbook. David has offered a lot of insights into computer science in general and Python in particular. The exercises are fun and well chosen. Even the annoying features of the language, like immutability, were explained well.
    Most MOOCs are worth maybe a week of the real, for-credit course. David has taken the complete for-credit course and structured it like a MOOC. If you complete all 4 parts of the sequence you will definitely know what you are doing.
  • Anonymous
    This class started great with lots of details, but feels like it was very rushed to complete. Much more coding opportunities should have been provided for dictionaries.

    The final problem was actually unworkable based on the materials provided without extensive research outside of the course. That is definitely "coding" in the real world, but it probably is the best way to learn.

    I don't expect the videos to explain exactly what to do in the coding problems, but there should definitely be a build up that let's us apply in the context of the other courses.
  • Anonymous
    The lectures are well designed for the student to build skills in a nice progression. The coding exercises enforce the lectures and ensure the student can solve real-world coding problems.
  • Stanley Waiyaki Maina
    3

    Stanley Waiyaki Maina 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.
  • Anonymous

    Anonymous completed this course.

    This is an amazing course for gaining practical skills in Python. David does a great job of providing practical, real-world examples and practice, for those learners who would rather learn by doing instead of watching. I have tried many online courses, but none have given such fundamental skill nor have been nearly as enjoyable as the X series.
  • David Dana
    Data Structures was a really great, self-paced, online course. I found the work challenging and yet completable during the various hours I was able to find while working full-time and taking care of my family. I did hunger for some more meaty problems, especially ones with real data. Perhaps they can be offered just for fun for those interested? Another neat addition might be an FAQ of Gotcha's like: remember that a method call on an immutable object that isn't assigned to something is like screaming in the wind :) One last question... how many of those blue shirts does Prof Joyner have?
  • Neville A. Cross
    16

    Neville A. Cross 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.
  • Anonymous
    This course is excellent. Concepts are explained at the beginning of each section before going on to the details of Python. I just audited the course so I can't speak to the marking and testing but the questions following each short lecture tested the material well to ensure you got a grasp of it. My only criticism would be that some of the questions were too focused on the syntax of Python rather than the understanding of the concepts. It seems to me pointless to ask about things that the interpreter would find for you instantly.
  • Anonymous

    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.
  • Joachim Schulze-lauen
    1

    Joachim Schulze-lauen 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.
  • Profile image for Daniel Dario Duran Jimenez
    Daniel Dario Duran Jimenez
    I loved this course! I could easily say it's one of the best courses out there to learn Python! Teacher David Joyner explains every lesson clearly and makes the contents pretty intuitive most of the time. I loved the proposed exercises of every module, each one has at least something new to teach you and some of them are pretty challenging. If you are planning to learn about Data Structures in Python I fully recommend this course to you.
  • Anonymous
    This is was a great course to follow for understanding data structures (in general). this course give me a good space for practicing and implementing new skills with tests and exercises , I learn a lot about dealing, and manipulate data structures.

    Smartbook or the interactive textbook was a very good place for review information that i take in video lectures, it help me to clear my understanding for topic i take before.
  • Anonymous

    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!
  • Anonymous
    Excellent Course, Georgia Tech has a great teaching style. Lots of different ways to absorb the material. It helps you master it eventually, despite the fact that some of the concepts are challenging.

    By the time you reach the end, the concepts are a breeze, but there were times where I was a bit overwhelmed while completing the practice problems.

    I was very impressed by the teaching style of David Joyner.
  • Anonymous

    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.
  • Anonymous
    This class was a great overview of data structures that I'd recommend. Although I had seen this material before, the problems still gave me great practice and reinforced my mastery of the topics. It was also a great sequel to the first two courses, and I felt adequately prepared for this one.

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