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Chankey Pathak chankeypathak

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chankeypathak / haversine.py
Created Aug 5, 2020
Distance between points
View haversine.py
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
chankeypathak / meta-reset.md
Created Apr 6, 2020
Metabolism Reset Diet
View meta-reset.md
  • 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
chankeypathak / ikigai.md
Last active Apr 5, 2020
Ikigai, Japanese secret of long and happy life
View ikigai.md
  • 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

View list_files_using_threads.py
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.
View md5hash.py
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
chankeypathak / top10_scores.py
Created Oct 9, 2017
Get top 10 student names
View top10_scores.py
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
chankeypathak / efficient_sort.py
Created Jul 27, 2017
Sorting a million 32-bit integers in 2MB of RAM using Python
View efficient_sort.py
#!/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
chankeypathak / pandas_if_else_then.py
Created Jul 26, 2017
if-then-else using numpy’s where()
View pandas_if_else_then.py
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
chankeypathak / python_chunk_download.py
Created Jul 26, 2017
Download big files from internet in chunks to avoid out of memory error
View python_chunk_download.py
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
chankeypathak / chrome2requests.py
Created Jun 29, 2017 — forked from scraperdragon/chrome2requests.py
Convert Chrome headers to Python's Requests dictionary
View chrome2requests.py
dict([[h.partition(':')[0], h.partition(':')[2]] for h in rawheaders.split('\n')])
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