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Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.
#!/usr/bin/env python | |
# Author: Chris Eberle <eberle1080@gmail.com> | |
# Watch for any changes in a module or package, and reload it automatically | |
import pyinotify | |
import imp | |
import os | |
class ModuleWatcher(pyinotify.ProcessEvent): | |
""" |
Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.
# -*- coding: utf-8 -*- | |
import datetime | |
from numpy import asarray, ceil | |
import pandas | |
import rpy2.robjects as robjects | |
def stl(data, ns, np=None, nt=None, nl=None, isdeg=0, itdeg=1, ildeg=1, | |
nsjump=None, ntjump=None, nljump=None, ni=2, no=0, fulloutput=False): |
#!/usr/bin/python | |
import re | |
import sys | |
def removeComments(text): | |
""" remove c-style comments. | |
text: blob of text with comments (can include newlines) | |
returns: text with comments removed | |
""" | |
pattern = r""" |
import streamlit as st | |
import pandas as pd | |
import numpy as np | |
def display_dataframe_quickly(df, max_rows=5000, **st_dataframe_kwargs): | |
"""Display a subset of a DataFrame or Numpy Array to speed up app renders. | |
Parameters | |
---------- | |
df : DataFrame | ndarray |
Expose daemon on tcp://localhost:2375 without TLS
.# Start a Scylla cluster | |
######################## | |
docker run --name some-scylla -d scylladb/scylla --smp 1 --memory 750M --overprovisioned 1 --api-address 0.0.0.0 | |
# Do not use the above --api-address for production. Exposing API IP is not secure. | |
SEED=$(docker inspect --format='{{ .NetworkSettings.IPAddress }}' some-scylla) | |
echo $SEED | |
docker run --name some-scylla2 -d scylladb/scylla --smp 1 --memory 750M --overprovisioned 1 --api-address 0.0.0.0 --seeds="$SEED" | |
docker run --name some-scylla3 -d scylladb/scylla --smp 1 --memory 750M --overprovisioned 1 --api-address 0.0.0.0 --seeds="$SEED" |
# The Best Medium-Hard Data Analyst SQL Interview Questions | |
By Zachary Thomas ([zthomas.nc@gmail.com](mailto:zthomas.nc@gmail.com), [Twitter](https://twitter.com/zach_i_thomas), [LinkedIn](https://www.linkedin.com/in/thomaszi/)) | |
**Tip: **See the Table of Contents (document outline) by hovering over the vertical line on the right side of the page | |
## Background & Motivation | |
> The first 70% of SQL is pretty straightforward but the remaining 30% can be pretty tricky. |