Pandas is a powerful tool for data exploration and analysis (including timeseries).

Lab notebooks for the Fall 2017 offering of Georgia Tech's CSE 6040

List of Resources for Teaching R

TrainDrop organizations pages

Intermediate R training material delivered in a 2 day format

Course material and references for Campus To Corporate course, 2017.

Study material (slides, documents, etc) for the Web Applications I course (Politecnico di Torino, 2019/2020)

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing

The de facto standard for people who are looking to learn Dyalog APL from a book. This updated version is a work in progress.

Vorlesungsunterlagen "Theoretische Informatik und Logik", Fakultät Informatik, TU Dresden

Intro to R training material delivered in a 2 day format

Jupyter notebooks for teaching/learning Python 3

Lab materials for the University of Washington course Data Science for Biologists (Winter 2019, BIO419/519)

Jupyter Notebooks for How to Think Like a Computer Scientist - Learning with Python 3 (RLE) Textbook

Unterlagen zur Vorlesung "Formale Systeme", Fakultät Informatik, TU Dresden

Machine Learning for Social Science

UPC Deep Learning for Speech and Language 2018

Materials for Hawley's Deep Learning & AI Ethics course

In my computer security courses I make extensive usage of cheatsheets for various tools and extra materials to complement the student learning if they are willing to do so. I have decided to share them to enable others to take advantage of them