chankeypathak

import csv
import pathlib
from math import radians, sin, cos, sqrt, asin
from functools import partial

MI= 3959
NM= 3440
KM= 6373

def haversine( lat_1: float, lon_1: float,

chankeypathak

• Keywords: #books #food #diet

• Liver is the boss

• Coined from the term "life"

• Unhealthy liver

  • Stores fuel as fat, cannot burn it
  • Restrains nutrients that are required to burn fat
  • No matter what diet you choose, how hard you try, weight loss is impossible

• Metabolism Reset Diet

chankeypathak

• Keywords: #books #mentalhealth #life

• 

• Age limit: 120 (cell regeneration stops)

• 5 Blue Zones in the World (the geographic regions where people live longest)

• There's no word that means "retire" in Japanese

• Diet, exercise, finding a purpose in life, forming strong social ties

• 1800-1900 calories per day (eat only 80%)

• The secrets to slowing down aging process

chankeypathak

import os, time
import threading, Queue

class WorkerThread(threading.Thread):
    """ A worker thread that takes directory names from a queue, finds all
        files in them recursively and reports the result.

        Input is done by placing directory names (as strings) into the
        Queue passed in dir_q.

chankeypathak

def get_file_md5(f, chunk_size=8192):
    h = hashlib.md5()
    while True:
        chunk = f.read(chunk_size)
        if not chunk:
            break
        h.update(chunk)
    return h.hexdigest()

chankeypathak

import pandas as pd
df = pd.read_csv(r'data.csv', encoding='utf8')
df['score'] = df['score'].str.replace('%', '')
score_df = (df['score'].sort_values(ascending=False)[:5])
indexes = score_df.index
print (df.iloc[indexes])

chankeypathak

#!/usr/bin/env python3.0

import sys, array, tempfile, heapq
assert array.array('i').itemsize == 4

def intsfromfile(f):
    while True:
        a = array.array('i')
        a.fromstring(f.read(4000))
        if not a:

chankeypathak

import pandas as pd
df = pd.DataFrame({'AAA' : [4,5,6,7], 'BBB' : [10,20,30,40],'CCC' : [100,50,-30,-50]}); df
'''   
   AAA  BBB  CCC
0    4   10  100
1    5   20   50
2    6   30  -30
3    7   40  -50
'''

chankeypathak

import requests # just a choice of comfort for me
def download(url_address, filename):
    response = requests.get(url_address, stream=True)
    response.raise_for_status()
    with open(filename, "wb") as f:
        total_length = response.headers.get('content-length')
        if total_length is None:
            f.write(response.content)
        else:
            total_length = int(total_length)

chankeypathak

dict([[h.partition(':')[0], h.partition(':')[2]] for h in rawheaders.split('\n')])