aashish-chaubey

def taskOfPairing(freq):
  count = 0
  marker = False
  for i in freq:
    if i != 0:
      count += i // 2
      if i % 2 != 0 and marker:
        count += 1
        marker = False
       elif i % 2 != 0:

jogo3000

;; Adaptations of equations found in Jack Daniels - Daniels' Running Formula in clojure
(import (java.lang Math))

(defn %VOmax
  "Returns the percentage of VOmax a runner can sustain for the given duration"
  [seconds]
  (let [mins (/ seconds 60)]
    (+ 0.8
       (* 0.1894393
          (Math/exp (* -0.012778 mins)))

accessnash

# Import the linear_model and roc_auc_score modules
from sklearn import linear_model
from sklearn.metrics import roc_auc_score

# Consider two sets of variables
variables_1 = ["mean_gift","income_low"]
variables_2 = ["mean_gift","income_low","gender_F","country_India","age"]

# Make predictions using the first set of variables and assign the AUC to auc_1
X_1 = basetable[variables_1]

kevinluo201

;|

TLEN.LSP - Total LENgth of selected objects
(c) 1998 Tee Square Graphics

|;

(defun C:TLEN (/ ss tl n ent itm obj l)
  (setq ss (ssget)
        tl 0

Akash-Ansari

########################################## Importing Data in Python (Part 2) #############################################

########################################## Importing flat files from the web: your turn! #################################
# You are about to import your first file from the web! The flat file you will import will be 'winequality-red.csv' from the University # of California, Irvine's Machine Learning repository. The flat file contains tabular data of physiochemical properties of red wine, 
# such as pH, alcohol content and citric acid content, along with wine quality rating.

# The URL of the file is

enzoftware

from PIL import Image
import math
path = "peru.jpeg" # Your image path 
img = Image.open(path)
newimg = Image.new("RGB", (width, height), "white")
for x in range(1, width-1):  # ignore the edge pixels for simplicity (1 to width-1)
    for y in range(1, height-1): # ignore edge pixels for simplicity (1 to height-1)

        # initialise Gx to 0 and Gy to 0 for every pixel
        Gx = 0

pierdom

richard512

Using variables

=ACOS(COS(RADIANS(90-Lat1)) *COS(RADIANS(90-Lat2)) +SIN(RADIANS(90-Lat1)) *SIN(RADIANS(90-Lat2)) *COS(RADIANS(Long1-Long2))) *6371

Using Cell References

=ACOS(COS(RADIANS(90-A2)) *COS(RADIANS(90-A3)) +SIN(RADIANS(90-A2)) *SIN(RADIANS(90-A3)) *COS(RADIANS(B2-B3))) *6371

That'll work for a table set up like this:

Name	Lat	Long

acwoss

# Respondido em: http://pt.stackoverflow.com/questions/184192

tipo_jogo = 0

def computador_escolhe_jogada(n, m):
    
    # Vez do computador:
    print("Vez do computador!")
    
    # Pode retirar todas as peças?

rodrigok

[
	"Aracajú",
	"Belém",
	"Belo Horizonte",
	"Boa Vista",
	"Brasília",
	"Campo Grande",
	"Cuiabá",
	"Curitiba",
	"Florianópolis",