levelsio

# 2023-11-27 MIT LICENSE

Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com.

It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town.

Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same!

Send me your ChatGPT text adventure game on X, I'd love to try it!

davidADSP

import networkx as nx

# SAMPLE DATA FORMAT
#nodes = [('tensorflow', {'count': 13}),
# ('pytorch', {'count': 6}),
# ('keras', {'count': 6}),
# ('scikit', {'count': 2}),
# ('opencv', {'count': 5}),
# ('spark', {'count': 13}), ...]

bogardpd

output = ""
bottles = 99

def bottle_str(bottles):
    if bottles == 0:
        return "No bottles"
    elif bottles == 1:
        return "1 bottle"
    else:
        return f"{bottles} bottles"

gbaman

# An example to get the remaining rate limit using the Github GraphQL API.

import requests

headers = {"Authorization": "Bearer YOUR API KEY"}


def run_query(query): # A simple function to use requests.post to make the API call. Note the json= section.
    request = requests.post('https://api.github.com/graphql', json={'query': query}, headers=headers)
    if request.status_code == 200:

raulgarreta

# -*- coding: utf-8 -*-
import csv
import time
import re
import codecs, cStringIO
from argparse import ArgumentParser

import tweepy

erikbern

import urllib2, csv
import matplotlib.pyplot as plt
import datetime
import seaborn
import numpy, scipy.stats, math

f = urllib2.urlopen('https://raw.githubusercontent.com/datasets/s-and-p-500/master/data/data.csv')
csv = csv.reader(f)
csv.next() # headers

awesomebytes

Python development environment (with ROS!)

Install pip

The package manager of python packages is called pip.

sudo apt-get install python-pip

If you need a pip package as a debian you can use Victor's debian from pip.

Install ipython

cpressey

This document has moved to the MARYSUE repository:

Overview of a Story Compiler

andrie

# Install from github ----------------

# install.packages(c("chron", "ggplot2", "dplyr", "stringi"))
# devtools::install_github("trinker/wakefield")

# Create a sample data frame ---------
library(wakefield)
r_data_frame(
  n = 500,
  id, 

colinvh

PEP-440-Compatible Semantic Versioning

This document attempts to refine Python's PEP 440 to include the principles of Semantic Versioning.

Specification

The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119.