Introduction
This page contains multiple articles which may be helpful as a resource for new students learning Python
for research. The articles are originally intended to assist new students in my lab - thus specific tooling,
design considerations, tech stack etc. may be specific for our lab. Otherwise, this wiki covers things from
coding environments to useful tips and tricks for actual analysis including (not limited to):
processing of images/matrix/tabular data, basic file manipulation, statistics,
writing clean code, deep learning (eventually) etc.
IMPORTANT: Please send all errata/suggestions to fumiy@student.ubc.ca
Wiki Posts
What is Multiple Instance Learning?
Series: Machine Learning Library
Description: (In progress) Introductory concept to multiple instance learning.
Getting started with Python
Series: Beginner coder
Description: Write your first bit of python code, and learn how to execute files.
Setting up Virtual Environment for Beginners
Series: Beginner coder
Description: Introduction to virtual environments and set up for virtual beginners in research setting.