Introduction V
Contents
Introduction V¶
Within the fifth session we’ll continue to explore jupyter notebooks as a central tool, resource and prerequisite for future endeavors as all of the introduction to python, as well as data analyzes part will be conducted within them. Subsequently, we start working with the python programming language, as well as situate and compare it to other programming languages. However, before we get back to programming we need to address the elephant in the virtual room.
Topics 💡👨🏻🏫¶
In the following you’ll find the objectives and materials for each of the topics we’ll discuss during this session.
Transition to virtual classes¶
As mentioned during the last class and e-mails, starting this session the entire course will be transitioning to virtual classes only. I already tried my best to explain this decision but TL;DR: the current situation and most likely developments basically leave no other option. Now it’s on us to make the best of it! The aid the transition and entire process as best as possible, we’ll use the first part of the session to go through the new setup and respective resources/tools together.
Objectives 📍¶
outline transition to virtual classes
discuss new setup
Ask and answer questions
Have a great time
Materials 📓¶
Jupyter notebooks¶
During the previous session we had a look at different ways of communicating with our computers. Generally speaking we could either use a GUI or a CLI. In more detail we also have different options to utilize the same programming language to communicate with our computer, e.g. the shell, jupyter notebooks and IDEs. After we already explored the shell a bit, we’ll now spend a closer look at jupyter notebook and how we can work with them. This is a central topic as the python introduction and data analyzes parts of the course will be conducted via jupyter notebook and you’ll have to hand in most assignments via them as well.
Objectives 📍¶
learn basic and efficient usage of the jupyter ecosystem & notebooks
what is Jupyter & how to utilize jupyter notebooks
Ask and answer questions
Have a great time
Materials 📓¶
Please see the rendered version of the jupyter notebook Introduction IV - jupyter notebooks in the ToC on the left.
Introduction to Python - I¶
The big moment is finally here: after spending quite a bit of time exploring important concepts adjacent to/around python, with the intention to provide a holistic understanding and situate components accordingly, we will start exploring python itself. Within the first block of programming with python we will go through basics of the python programming language, its central aspects and building blocks, as well as its benefits generally speaking and within the context of psychology research.
Objectives 📍¶
learn basic and efficient usage of the python programming language
what is python & how to utilize it
building blocks of & operations in python
Ask and answer questions
Have a great time
Materials 📓¶
Please see the rendered version of the jupyter notebook Introduction V - Introduction to Python I in the ToC on the left.
tasks for subsequent meeting 🖥️✍🏽📖¶
I unfortunately didn’t explain things properly at the end of last week’s session and thus some folks already did the second homework assignment and some don’t. I’m truly sorry for that! Those folks that already did it obviously don’t have to repeat it, for the others, please find the information below:
Your second homework assignment will entail the generation of a jupyter notebook with
mandatory: 3 different cells:
1 rendered markdown cell within which you name your favorite movie and describe why you like it via max. 2 sentences
1 code cell with an equation (e.g.
1+1,(a+b)/(c+d), etc.)1 raw cell with your favorite snack
optional: a picture of your favorite animal Once you have everything, save the notebook and e-mail it to Peer.
Please note that the deadline for the assignment is: 08/12/2021, 11:59 PM EST.