cjauvin

import sys
from random import randrange

if __name__ == "__main__":
    while True:
        print("Level: ", end="")
        try:
            level = int(input())
        except ValueError:
            level = False

cjauvin

import numpy as np


def weighted_quantile_type_7(a, q, weights=None, axis=None):

    def _func_1d(arr, q, weights):
        n = len(arr)
        if weights is None:
            weights = np.repeat(1 / n, n)
        else:

cjauvin

In [65]: import pandas as pd
   
In [66]: a = pd.DataFrame({'hru': [9, 10, 10], 'sub': [100, 100, 100], 'down': [-1, 200, -1]})

In [67]: a
Out[67]:
   hru  sub  down
0    9  100    -1
1   10  100   200
2   10  100    -1

cjauvin

import sqlalchemy as db
from sqlalchemy import Table, Column, Integer, String, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker


Base = declarative_base()

engine = db.create_engine("sqlite:///toto.db", echo=True)

cjauvin

from flinks import Client

CUSTOMER_ID = 'secret!!'
BASE_URL = 'secret!!'
DEMO_USER = 'Greatday'
DEMO_PW = 'Everyday'
DEMO_INST = 'FlinksCapital'
QUESTIONS = {
    'What city were you born in?': 'Montreal',
    'What is the best country on earth?': 'Canada',

cjauvin

from flask import Flask, send_file
from io import BytesIO

app = Flask(__name__)

@app.route('/get_placements')
def get_placements():
    placements = '<Placemark>bla</Placemark>'  # replace with your own placement creation logic
    f = BytesIO()  # memory buffer, acting as a file
    # f-strings are new in py3.6+

cjauvin

cjauvin

cjauvin

import numpy as np
import tensorflow as tf

N = 5
M = tf.constant(np.arange(N * N).reshape((N, N)), dtype=tf.int32) # N x N tensor, with values from 0 to N-1

# This code implements a fully differentiable summation of all the elements of M where i != j

# inner loop, on columns
def body(i, r):

cjauvin

Concepts de base en prob

Soleil/Pluie	non	oui	total
oui	75	2	77
non	10	13	23
total	85	15	100

Il fait soleil 77% du temps, et il pleut 15% du temps (les deux ne sont pas mutuellement exclusifs).