module for google search

!pip install google

from googlesearch import search
for url in search('"Breaking Code" WordPress blog', stop=10):
print(url)

from datetime import datetime
date_string = "21 June, 2018"
date_object = datetime.strptime(date_string, "%d %B, %Y")

This will return the mixed datatypes but this can be slow.

df.applymap(type).nunique() > 1

Better approach pythonic approach would be...

from pandas.api.types import infer_dtype

infer_dtype(df.A)
'mixed-integer'

df.apply(lambda x: 'mixed' in infer_dtype(x))

1) Download the polyglot pickled marathi model
wget bit.ly
mv 12FI1xV polyglot-mt.pkl

2) Extract all the words from the embedding

from polyglot.mapping import Embedding
embeddings=Embedding.load("polyglot-mt.pkl")
with open('myfile.txt', 'w') as fx:
for i in embeddings.vocabulary:
fx.write(i.encode('utf-8')+'\n')

3) Download the wordlist:
s3.amazonaws.com

Google suddenly stopped download of Input Tools package without giving any reason. And here is official response by Google:
We have been in touch with the Google Input Tools team and have confirmed that the Windows application is no longer available for download or installation. Instead, the team recommends you install the Google Input Tools Chrome extension as an alternative.

This is not expected from a company like google.

Here are important python objects and their methods
int mul, add, eq, ge, mod, pow
float .isinteger()
string .upper(), .endswith(), .split()
bool .numerator .abs()
list .append, .pop, _len() / slicing
tuple
dict .items(), .keys(), .values() / slicing
pd.Series .sum(), .stack(), .groupby(), .resample(), .sort_values(), .sort_index(), .iloc
pd.DataFrame

Here is how to read a JSON file into pandas dataframe.

import json
import pandas as pd

with open('/tmp/aclImdb/movie_data/gv.json', 'r') as f:
data = json.load(f)

df=pd.DataFrame(data['data'])
df.to_excel('gov.xlsx')

Fabric is a high level Python library designed to execute shell commands remotely over SSH, yielding useful Python objects in return:
"""
a#!/usr/bin/env python
from fabric.api import hosts, run, task
from fabric.tasks import execute

@task
@hosts(['shantanu@1.2.3.4:1224'])
def test():
run('hostname -f')

if name == 'main':
execute(test)
"""

It is easy to backup mysql users -

wget percona.com/get/pt-show-grants;
perl pt-show-grants

1 everything is an object (class instances)
2 methods depends upon class of the instance
3 int,str and tuple are immutability, dict and list are mutable
4 dict keys are unique but series allows duplicate
5 list comprehension
6 slice of dict, str, list
7 dynamically typed
8 iterables are str, list, dict but int are not
9 functions are first class objects and can be applied just like built-in classes