OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase working capital.

Overview

Overview :suspect:

OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase working capital.

The Loop

The mechanics are rather simple. Just follow the prompts and use your best judgement to turn a profit by making the right calls at the right times. Be warned though, you’ll be going into this thing with an outstanding debt that will need to be repaid in a timely manner, or you’ll drown in debt (game over). A bit like a student loan run rife, but a little more … finite.

Future 📈

  • Seperate out function definitions into separate modules.
  • Improve market reroll.
  • Add random event mechanic.
  • Improve start turn overview/position summary table.
  • Add cost to travel mechanic.
  • Add travel methods mechanic.
  • Improve buy/sell mechanic.

More to come...

Owner
Tom
I like algorithms.
Tom
A distributed block-based data storage and compute engine

Nebula is an extremely-fast end-to-end interactive big data analytics solution. Nebula is designed as a high-performance columnar data storage and tabular OLAP engine.

Columns AI 131 Dec 26, 2022
Clean and reusable data-sciency notebooks.

KPACUBO KPACUBO is a set Jupyter notebooks focused on the best practices in both software development and data science, namely, code reuse, explicit d

Matvey Morozov 1 Jan 28, 2022
Scraping and analysis of leetcode-compensations page.

Leetcode compensations report Scraping and analysis of leetcode-compensations page.

utsav 96 Jan 01, 2023
This program analyzes a DNA sequence and outputs snippets of DNA that are likely to be protein-coding genes.

This program analyzes a DNA sequence and outputs snippets of DNA that are likely to be protein-coding genes.

1 Dec 28, 2021
Building house price data pipelines with Apache Beam and Spark on GCP

This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.

1 Nov 22, 2021
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house

This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con

Amit Prakash 1 Jan 21, 2022
BAyesian Model-Building Interface (Bambi) in Python.

Bambi BAyesian Model-Building Interface in Python Overview Bambi is a high-level Bayesian model-building interface written in Python. It's built on to

861 Dec 29, 2022
BioMASS - A Python Framework for Modeling and Analysis of Signaling Systems

Mathematical modeling is a powerful method for the analysis of complex biological systems. Although there are many researches devoted on produ

BioMASS 22 Dec 27, 2022
This python script allows you to manipulate the audience data from Sl.ido surveys

Slido-Automated-VoteBot This python script allows you to manipulate the audience data from Sl.ido surveys Since Slido blocks interference from automat

Pranav Menon 1 Jan 24, 2022
Full automated data pipeline using docker images

Create postgres tables from CSV files This first section is only relate to creating tables from CSV files using postgres container alone. Just one of

1 Nov 21, 2021
Stochastic Gradient Trees implementation in Python

Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th

John Koumentis 2 Nov 18, 2022
Ejercicios Panda usando Pandas

Readme Below we add configuration details to locally test your application To co

1 Jan 22, 2022
Predictive Modeling & Analytics on Home Equity Line of Credit

Predictive Modeling & Analytics on Home Equity Line of Credit Data (Python) HMEQ Data Set In this assignment we will use Python to examine a data set

Dhaval Patel 1 Jan 09, 2022
Implementation in Python of the reliability measures such as Omega.

reliabiliPy Summary Simple implementation in Python of the [reliability](https://en.wikipedia.org/wiki/Reliability_(statistics) measures for surveys:

Rafael Valero Fernández 2 Apr 27, 2022
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext

Benedek Rozemberczki 1.8k Jan 09, 2023
Open-source Laplacian Eigenmaps for dimensionality reduction of large data in python.

Fast Laplacian Eigenmaps in python Open-source Laplacian Eigenmaps for dimensionality reduction of large data in python. Comes with an wrapper for NMS

17 Jul 09, 2022
WithPipe is a simple utility for functional piping in Python.

A utility for functional piping in Python that allows you to access any function in any scope as a partial.

Michael Milton 1 Oct 26, 2021
Stream-Kafka-ELK-Stack - Weather data streaming using Apache Kafka and Elastic Stack.

Streaming Data Pipeline - Kafka + ELK Stack Streaming weather data using Apache Kafka and Elastic Stack. Data source: https://openweathermap.org/api O

Felipe Demenech Vasconcelos 2 Jan 20, 2022
Single-Cell Analysis in Python. Scales to >1M cells.

Scanpy – Single-Cell Analysis in Python Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It inc

Theis Lab 1.4k Jan 05, 2023
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science

The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data a

Amir Ali 2 Jun 17, 2022