Carl-Frederik Scharffenorth's repositories
github-slideshow
A robot powered training repository :robot:
motokobootcamp2023
An example of how to structure your daily submissions.
examples
Example applications, microservices, and code samples for the Internet Computer
bootcamp_memory
Motoko Bootcamp Memory Example Day 4
motoko_bootcamp_enrollment
first_canister on the IC (enrollment for bootcamp)
ic-qr-scanner
QR code scan & send for Internet Computer transactions
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Deep-Trading
Algorithmic trading with deep learning experiments
numerical-mooc
A collaborative educational initiative in computational science and engineering.
hawkes_processes
C code with python bindings for exponentially decaying kernel Hawkes Processes
SignalsOfTheDay
This is a collection of signals interesting for historical or cultural reasons. Each signal is described and analyzed in an [ipython notebook](http://ipython.org/notebook.html).
Brightwork
This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas.