bhavika

from urllib.request import urlopen
from bs4 import BeautifulSoup as bs
import csv as csv

url = 'http://www.finder.com/in/netflix-india-vs-netflix-us-titles-list'
html = urlopen(url).read()

soup = bs(html, "lxml")
table = soup.find('table', id='tablepress-9')

bhavika

set source= source path
set destination= dest path
for /f "tokens=2 delims==" %%G in ('wmic os get localdatetime /value') do set datetime=%%G
set year=%datetime:~0,4%
set month=%datetime:~4,2%
set day=%datetime:~6,2%
set folder = "Books"
xcopy /s /i %source% %destination%_%year%-%month%-%day% /E /y

pause

bhavika

http://dask.pydata.org/en/latest/use-cases.html
Progress bars: http://distributed.readthedocs.io/en/latest/web.html

bhavika

#!/usr/bin/env bash
#Code adapted from https://gist.github.com/yangj1e/3641843c758201ebbc6c (Modified to Python3.5)

cd ~
#wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.4.0-Linux-x86_64.sh
wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda3-2.4.1-Linux-x86_64.sh
bash Anaconda3-2.4.1-Linux-x86_64.sh -b
echo 'PATH="/home/ubuntu/anaconda3/bin:$PATH"' >> .bashrc
. .bashrc

bhavika

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

bhavika

Keybase proof

I hereby claim:

• I am bhavika on github.
• I am bhavika (https://keybase.io/bhavika) on keybase.
• I have a public key whose fingerprint is 9560 2C5B 4FBF F6B7 20FE CA07 8DE0 2A9A 10C5 B55F

To claim this, I am signing this object:

bhavika

Delete all containers:
docker rm $(docker ps -a -q)

Delete all images: 
docker rmi $(docker images -q)

bhavika

1. Using Dask for Parallel Computing in Python (http://pydata.org/dc2016/schedule/presentation/59/)
Github: https://github.com/jseabold/dask-pydata-dc-2016

2. Building Your First Data Pipelines (http://pydata.org/dc2016/schedule/presentation/10/)
Github: https://github.com/hunterowens/data-pipelines

3. Doing frequentist statistics in Python (http://pydata.org/dc2016/schedule/presentation/9/)
Github: https://github.com/gapatino/Doing-frequentist-statistics-with-Scipy

4. Machine Learning with Text in scikit-learn (http://pydata.org/dc2016/schedule/presentation/12/)

bhavika

# Sudoku Solver - Peter A. Norvig

digits = '123456789'
rows = 'ABCDEFGHI'
cols = digits

def cross(A, B):
    return [a+b for a in A for b in B]

squares = cross(rows, cols)

bhavika

From MySQL's docs:

• Switching Masters During Failover
• mysqlfailover — Automatic replication health monitoring and failover
• Replication with Global Transaction Identifiers
• MySQL Multi-Source Replication
• Improving Replication Performance
• Using Replication for Backups

From Facebook: