fuwiak

Adam Małysz was born in Wisła, Poland, to Ewa and Jan Małysz. He has an older sister – Iwona (born 1975). 
He graduated from a vocational high school in Ustroń, where he learned a profession (specialisation: tinsmith-roofer).
He speaks German very well. On 16 June 1997 he married Izabella Polok (born 4 December 1978). 
The wedding took place at the Evangelical Church of St. Peter and Paul in the Wisła (Izabella is Catholic). 
On 31 October 1997, Izabella gave birth to their daughter – Karolina. 
His life motto is "Be good and that's it" and his idol is German former ski jumper Jens Weißflog. 
His religion is Lutheranism

On 1 April 2007 Małysz opened a Trophy Gallery, which includes all the major medals and trophies he won during his career, 
including the Crystal Globe trophies for victories in the World Cup. 

fuwiak

from __future__ import division, print_function
import numpy as np
import progressbar

from mlfromscratch.utils import train_test_split, standardize, to_categorical
from mlfromscratch.utils import mean_squared_error, accuracy_score
from mlfromscratch.deep_learning.loss_functions import SquareLoss, CrossEntropy
from mlfromscratch.supervised_learning.decision_tree import RegressionTree
from mlfromscratch.utils.misc import bar_widgets

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def encryptDecrypt(inpString): 
 
    xorKey = 'P'; 
  
    # calculate length of input string 
    length = len(inpString); 
  
    # perform XOR operation of key 
    # with every caracter in string 
    for i in range(length): 

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score = []
for word in slowa:
  N=len(word)
  score.append(N)
srednia=sum(score)/len(slowa)

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import time
start_time = time.time()
#tutaj piszemy kod
seconds = time.time() - start_time
print('Time Taken:', time.strftime("%H:%M:%S",time.gmtime(seconds)))

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def fibonacci(n):
  def recur_fibo(n):
   if n <= 1:
       return n
   else:
       return(recur_fibo(n-1) + recur_fibo(n-2))
  if n <= 0:
    print("Plese enter a positive integer")
  else:

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def recur_fibo(n):
   if n <= 1:
       return n
   else:
       return(recur_fibo(n-1) + recur_fibo(n-2))

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import pandas as pd



def dataframe_metainformation(df):
     """
   
    Returns Pandas data frame with metainformation 
    
    Parameters

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import json, math
# Напишите ваш код ниже
with open("data/covid.json") as a:
    dane = json.load(a)
from datetime import datetime

def calc_mean_sigma(data):
    sx, sx2, n = 0.0, 0.0, 0
    for x in data:
        sx += x

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def print_metainformation(meta):
    print('Available types:', meta['description']['dtype'].unique())
    print('{} Features'.format(meta['description'].shape[0]))
    print('{} categorical features'.format(len(meta['categorical_features'])))
    print('{} numerical features'.format(len(meta['numerical_features'])))
    print('{} categorical features with NAs'.format(len(meta['categorical_features_na'])))
    print('{} numerical features with NAs'.format(len(meta['numerical_features_na'])))
    print('{} Complete features'.format(len(meta['complete_features'])))