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Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.

This repository contains a reference implementation of libtrainsim. Use this code as an example on how to build your own train simulator.

Onepager einer fiktiven Firma für das Wahlpflichtmodul DevOps

This is a simple command line program to create train_properties files. It is written in go, so it is fast and works on every platform.

all of the libtrainsim json formats as a go library

Fachbereich 13 - MND, Wirtschaftsinformatik BSc., WK_1106 Wirtschaftsinformatik-Projekt 1 (Softwaretechnik), Gruppe 16

Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.

Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.

Offers spaced-repetition algorithms according to Leitner and SuperMemo-2 and teacher functions to give bonus for repetitive learning.

This repository contains the library for making train simulators