| #!/bin/bash | |
| git_repo="containernetworking/plugins" | |
| os="linux" | |
| arch="amd64" | |
| pack="tgz" | |
| if [ -z "$1" -o "$1" = "-h" -o "$1" = "--help" ] | |
| then | |
| echo |
| import pandas as pd | |
| from sklearn import linear_model | |
| X_0 = pd.DataFrame([[0,0], [1,0]] ) | |
| y_0 = pd.DataFrame([[0], [0]]) | |
| X_1 = pd.DataFrame([[0,1], [1,1], [1,1]]) | |
| y_1 = pd.DataFrame([[1], [1], [1]]) |
UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.
Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/
sudo amazon-linux-extras install docker
sudo service docker start
| from pyspark.sql.types import * | |
| from pyspark.sql.functions import * | |
| #Flatten array of structs and structs | |
| def flatten(df): | |
| # compute Complex Fields (Lists and Structs) in Schema | |
| complex_fields = dict([(field.name, field.dataType) | |
| for field in df.schema.fields | |
| if type(field.dataType) == ArrayType or type(field.dataType) == StructType]) | |
| while len(complex_fields)!=0: |
| { | |
| "Version": "2012-10-17", | |
| "Statement": [ | |
| { | |
| "Sid": "S3BucketAccess", | |
| "Effect": "Allow", | |
| "Action": "s3:ListBucket", | |
| "Resource": "arn:aws:s3:::bstopp" | |
| }, |
| FROM alpine:3.14 | |
| ENV AWSCLI_VERSION "1.20.7" | |
| RUN apk add --update \ | |
| python3 \ | |
| python3-dev \ | |
| py-pip \ | |
| build-base \ | |
| && pip install awscli==$AWSCLI_VERSION --upgrade --user \ |
| import numpy as np | |
| import tensorflow as tf | |
| import scipy | |
| from tensorflow.contrib.eager.python import tfe | |
| tfe.enable_eager_execution() | |
| # manual numpy example | |
| # X = np.array(([[0., 1], [2, 3]])) | |
| # W0 = X | |
| # W1 = np.array(([[0., 1], [2, 3]]))/10 |
| import dash | |
| import dash_core_components as dcc | |
| import dash_html_components as html | |
| import plotly.graph_objs as go | |
| import pandas as pd | |
| app = dash.Dash() | |
| df = pd.read_csv( | |
| 'https://gist.githubusercontent.com/chriddyp/' |
| # See official docs at https://dash.plotly.com | |
| # pip install dash pandas | |
| from dash import Dash, dcc, html, Input, Output | |
| import plotly.express as px | |
| import pandas as pd | |
| df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv') |