| import math | |
| from moviepy.editor import concatenate, ImageClip | |
| import os | |
| import platform | |
| import subprocess | |
| import random | |
| import torch | |
| # pip install pytorch-pretrained-biggan | |
| from pytorch_pretrained_biggan import (BigGAN, truncated_noise_sample, convert_to_images) | |
| import numpy as np |
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 continuumio/miniconda3 | |
| COPY environment.yml /tmp | |
| RUN apt-get update && apt-get install -y \ | |
| freetds-dev \ | |
| python-dev \ | |
| build-essential \ | |
| && rm -rf /var/lib/apt/lists/* |
Free O'Reilly books and convenient script to just download them.
Thanks /u/FallenAege/ and /u/ShPavel/ from this Reddit post
How to use:
download.sh file and put it into a directory where you want the files to be saved.cd into the directory and make sure that it has executable permissions (chmod +x download.sh should do it)./download.sh and wee there it goes. Also if you do not want all the files, just simply comment the ones you do not want.
| PostgreSQL Data Types | AWS DMS Data Types | Redshift Data Types | |
|---|---|---|---|
| INTEGER | INT4 | INT4 | |
| SMALLINT | INT2 | INT2 | |
| BIGINT | INT8 | INT8 | |
| NUMERIC (p,s) | If precision is 39 or greater, then use STRING. | If the scale is => 0 and =< 37 then: NUMERIC (p,s) If the scale is => 38 and =< 127 then: VARCHAR (Length) | |
| DECIMAL(P,S) | If precision is 39 or greater, then use STRING. | If the scale is => 0 and =< 37 then: NUMERIC (p,s) If the scale is => 38 and =< 127 then: VARCHAR (Length) | |
| REAL | REAL4 | FLOAT4 | |
| DOUBLE | REAL8 | FLOAT8 | |
| SMALLSERIAL | INT2 | INT2 | |
| SERIAL | INT4 | INT4 |
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
| %pyspark | |
| import matplotlib.pyplot as plt; plt.rcdefaults() | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import StringIO | |
| def show(p): | |
| img = StringIO.StringIO() | |
| p.savefig(img, format='svg') |
| This is free and unencumbered software released into the public domain. | |
| Anyone is free to copy, modify, publish, use, compile, sell, or | |
| distribute this software, either in source code form or as a compiled | |
| binary, for any purpose, commercial or non-commercial, and by any | |
| means. | |
| In jurisdictions that recognize copyright laws, the author or authors | |
| of this software dedicate any and all copyright interest in the | |
| software to the public domain. We make this dedication for the benefit |
| <?php | |
| $currency_symbols = array( | |
| 'AED' => 'د.إ', // ? | |
| 'AFN' => 'Af', | |
| 'ALL' => 'Lek', | |
| 'AMD' => '', | |
| 'ANG' => 'ƒ', | |
| 'AOA' => 'Kz', // ? | |
| 'ARS' => '$', | |
| 'AUD' => '$', |
