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while (True):
    vp.rate(500)
    
 	#Calculte the force using gravitationalForce function
    star.force = gravitationalForce(star,planet1)+gravitationalForce(star,planet2)+gravitationalForce(star,planet3)
    planet1.force = gravitationalForce(planet1,star)+gravitationalForce(planet1,planet2)+gravitationalForce(planet1,planet3)
    planet2.force = gravitationalForce(planet2,star)+gravitationalForce(planet2,planet1)+gravitationalForce(planet2,planet3)
    planet3.force = gravitationalForce(planet3,star)+gravitationalForce(planet3,planet1)+gravitationalForce(planet3,planet2)

    #Update momentum, position and time

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#################
## PREPARATION ##
#################

# Import modules
import sys
# If your authentification script is not in the project directory
# append its folder to sys.path
sys.path.append("../spotify_api_web_app")
import authorization

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import asyncio
from tortoise import Tortoise, run_async, connections
from tortoise.models import Model
from tortoise import fields
import random
import time
class Employees(Model):
    ID = fields.IntField(pk=True)
    NAME = fields.TextField()
    AGE = fields.IntField()

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# complex arith for programming with other languages
# - required functions: exp(f), log(f), sin(f), cos(f), atan2(f), pow(f1, f2)
import math


# [equality for complex]
def ceq(a, b):
    return a.real == b.real and a.imag == b.imag

# [add, sub, mul for complex]

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[package]
name = "snake_game"
version = "0.1.0"
authors = ["youcodethings <spyr1014@gmail.com>"]

[dependencies]
piston = "0.36.0"
piston2d-graphics = "0.26.0"
pistoncore-glutin_window = "0.45.0"
piston2d-opengl_graphics = "0.52.0"

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Libraries for a modern geospatial workflow

Distribution

• Writing, Running, and Distributing
• Tox driven development
• Publishing python libraries

Numpy

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#########################
# NumPy Raster Calculator
# -----------------------
# Purpose: The purpose of this Python script is to use ArcGIS's arcpy package along with the Python library numpy to convert Landsat thermal bands from digital numbers to Top of Atmosphere (ToA) brightness-temperature values that provide pixel temperature in degrees Celsius.
# Purpose #2: The second purpose is that it allows some work to be done on rasters without the need for the Spatial Analyst extension
#
# Requirements: ESRI ArcGIS arcpy; Python 2.7.x; numpy; Landsat data
# ArcPy takes care of the dirty work of conversions and geospatial stuff and I have ArcGIS installed, hence it's use.
#########################

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#!/usr/bin/env python3
# Use: ./subnet.py <ip/cidr>
# Alt: ./subnet.py <ip> <mask>

import sys

if __name__=="__main__":
    addr = [0, 0, 0, 0]
    mask = [0, 0, 0, 0]
    cidr = 0

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from sklearn.neighbors import KNeighborsRegressor
from sklearn.linear_model import LogisticRegressionCV

def X_learner(df, model, y, D, X):
    temp = dgp.generate_data(true_te=True).sort_values(X)
    
    # Mu
    mu0 = model.fit(temp.loc[temp[D]==0, X], temp.loc[temp[D]==0, y])
    temp['mu0_hat_'] = mu0.predict(temp[X])
    mu1 = model.fit(temp.loc[temp[D]==1, X], temp.loc[temp[D]==1, y])