Alexander Lill's repositories
PP-Crypto-Parser
Parser for parsing ledger data from Kraken for Portfolio Performance
atlassian-python-api
Atlassian Python REST API wrapper
cmu-17-356.github.io
Course Website for CMU 17-356
alexanderlill.github.io
Source for https://alexanderlill.eu
Catch-em-all
Now that we have tons of data about Pokemon (what they are, where they are, what’s their relationship, what they can transform into, which attacks they can perform, aso) we want to integrate it all into a comprehensive website. This website should contain sections about each Pokemon and its details. Additionally, the website should register the user’s location and tell the user how close is that the predicted pokemon to him/her. Additionally you will be incorporating the apps that were created by project B,C and D into the website. Your group will need to create automated builds and testing for this apps and use continuous integration to pull in new changes in the code repositories. Apps from projects B-D should be packaged and made available on NPM. Ideally when you completed these tasks the webapp component would integrate the apps by “requiring’ them. Here is a possible user story: when a user opens the website or the app the current location of the user will be shown. Additionally, the website/app will show automatically where the pokemons that are currently active are and where the pokemons that we predict to active in the nearest future (i.e. within half a day) will be located (all of this will be available from the app developed in project D). Hopefully, the website will be somewhat crowded by that data. Then, there needs to be a menu bar or something available (e.g. above the map or on the right side to it) that will list currently active or predicted pokemons. Clicking on one of them will make other pokemons on the map disappear, except of this clicked one. Separate web pages would allow the search and presentation of individual Pokemons and the information we gathered about them, including third party data (project A) and twitter analysis (project C)
cooperative-software-development
A short book on cooperative aspects of software engineering.
CQADupStack
A Benchmark Data Set for Community Question-Answering Research
PP-P2P-Parser
Parser für P2P Anbieter Mintos.com für Portfolio Performance
portfolio
A simple tool to calculate the overall performance of an investment portfolio.