Sveavägen 44, Stockholm
What better way to kick off the new year than with some Python talks and mingling!? Sam will be speaking about Jupyter Notebook, and Beatrice will be speaking about Python 2 vs Python 3 (see descriptions below). Thanks to King for hosting us, and we hope to see you there!
Jupyter Notebook - Sam Lam, Data Scientist at King
Jupyter Notebook is an interactive computing environment which lets you publish analyses in a reproducible and readable manner. In the tutorial, I will be showing participants how to use Jupyter Notebook with datasets from kaggle (https://www.kaggle.com/datasets). This tutorial is aimed towards those who already have some working knowledge of Python, but as long as you have some basic understanding of scripting, it should be more than enough (i.e. beginners are also totally welcome!).
Ideally, you would install Jupyter locally on your computer by following the instructions at https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/install.html with the following three libraries: numpy, pandas and seaborn. Otherwise just make sure you register an account on kaggle (https://www.kaggle.com) and you can create notebooks there to be able to take part.
Python 2 vs Python 3 - Beatrice Åkerblom, Department of Computer and Systems Sciences, Stockholm University Are you new to Python? Does the existence of two parallellversions of the language confuse you? Have you been programming in Python for ages and still hold on toPython 2? Have you been programming in Python 3 since you started using the language and wonder what still makes people reluctant to leavePython 2.7? We will take a look at the motivations behind the choice to make Python 3 incompatible with older versions, what the differences are between Python 2 and Python 3, and how you can choose which one to use for your next project.