This repository contains the course materials for the lectures of the qualification seminar. The sessions will be released as they are presented in the course.
Here you can find literature, lecture materials, homework, homework solutions, lecture screencasts and additional resources for the extra curious.
The content is divided into folders, where each folder contains the relevant material for that session. For the first three sessions, please refer to the project description on how to open and access the material. For the remainder of the sessions the project description contains information on how to work with the files directly through git. Please refer to the session 4 lecture screencast, if you don't know what this means.
The first day Monday 9/7/2018, we will have tea, coffee, and croissants from 8:30 to 9:00 in front of Auditorium 1 before the start of the seminar.
| Date | Lecture | Place | Workshop | Place | Topic |
|---|---|---|---|---|---|
| 9/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 1: Writing your first program! |
| 11/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 2: Basic Python syntax |
| 13/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 3: Python building blocks |
| 16/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 4: Commanding the lines |
| 18/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 5: Working with files and objects |
| 20/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 6: Working with data and git |
| 23/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 7: Algorithms and runtimes |
| 25/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 8: Abstract data types |
| 27/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 9: Trees and graphs |
| 30/7/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 10: Network and webservers |
| 1/8/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 11: Project 1/2 |
| 3/8/2018 | 09:00 - 13:00 | Aud 1 | 13:00 - 15:00 | Scrollbar and DesignLab | 12: Project 2/2 |
The seminar uses two books, both of which are available in print form at a modest cost. You should before the seminar starts get at least one of the two course books, either in electronic form or in print.
- Al Sweigart: Automate the Boring Stuff with Python (https://www.nostarch.com/automatestuff)
- Eric Matthes: Python Crash Course. A Hands-On, Project-Based Introduction to Programming. (https://nostarch.com/pythoncrashcourse)
The main book "Automate the Boring Stuff with Python" can be accessed for free online, see http://automatetheboringstuff.com.
For three of the later chapters we will use the book "Problem Solving with Algorithms and Data Structures using Python", which is free available online at http://interactivepython.org/courselib/static/pythonds/.
We expect that you at least have a look at the literature before the lecture. The following table maps the lectures to book contents. Please prepare for a lecture by reading the literature in at least one of the books.
| Date | Topic | Automate the Boring Stuff | Python Crash Course | Problem Solving [...] using Python |
|---|---|---|---|---|
| 9/7/2018 | Introduction | Chapter 1 and 2 | Chapter 1, 2 and 5 | - |
| 11/7/2018 | Basic Python syntax | Chapter 2 and 4 | Chapter 3, 4 and 7 | - |
| 13/7/2018 | Python building blocks | Chapter 3 | Chapter 7 and 8 | - |
| 16/7/2018 | Commanding the lines | Chapter 10 | Chapter 10 and 11 | - |
| 18/7/2018 | Working with files and objects | Chapter 9 and 12 | Chapter 9 | - |
| 20/7/2018 | Working with data and git | Chapter 11 and 15 | - | - |
| 23/7/2018 | Algorithms and runtimes | - | - | Chapter 2 |
| 25/7/2018 | Abstract data types | - | - | Chapter 3 & 5 |
| 27/7/2018 | Trees and graphs | - | - | Chapter 6 & 7 |
| 30/7/2018 | Network and webservers | - | - | - |
| 1/8/2018 | Project 1/2 | - | - | - |
| 3/8/2018 | Project 2/2 | - | - | - |
All sessions will be screencast via Ilos within this folder: https://app.ilosvideos.com/content/r8HlHd3Knj0Z
Python is huge, and there are tons of interesting material out there. We collected some links that we think might be relevant in this page about Python resources.
The session folders contains the code the code
(either as Python or Jupyter notebook files) and data files that have been
presented in a single session.
The README.md file inside each folder explains how to access the content of the session,
including screencasts and a mapping to the course literature (which we expect
that you at least skim!).
The homework directory contains code and content related to exercises for
the class workshops and for home. Note that the homework descriptions for the
first three sections, are contained in a Assignment.ipynb Jupyter notebook.
After the deadline of each exercise has passed, we will publish suggested
solutions to the homework_solutions directory.
Please refer to the Q&A forum on LearnIT.
Teachers: <ropf@itu.dk> or <jegp@itu.dk>
Navigate on the command line to the directory in which you would like to store the lecture notes for this seminar. For example if you have a directory Documents in your home directory, you could store the material there:
$ cd DocumentsNow clone this material. In essence, cloning means copy all the stuf to my machine. OBS: You have to do this step only once!
$ git clone https://github.com/itu-summer/qualification-seminar-materials-2018.gitEverytime you want to refresh the material, i.e., get our latest update, you run the following:
$ cd qualification-seminar-materials-2018
$ git pullIn case the notebooks do not get rendered on Github, you should be able to read them here: https://nbviewer.jupyter.org/github/itu-summer/qualification-seminar-materials-2018/tree/master/
This is some extra, non mandatory exercises. These exercise is created to rehearse some of your current skills and to recap some of material you have been shown. There are also some solutions to these exercises as well as a video (https://learnit.itu.dk/mod/forum/discuss.php?d=15953) where Viktor shows how he would solve these exercises.