akhan4u

#  Customize BASH PS1 prompt to show current GIT repository and branch.
#  by Mike Stewart - http://MediaDoneRight.com

#  SETUP CONSTANTS
#  Bunch-o-predefined colors.  Makes reading code easier than escape sequences.
#  I don't remember where I found this.  o_O

# Reset
Color_Off="\[\033[0m\]"       # Text Reset

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---
  - hosts: "{{ host_name }}"
    roles:
      # Install python3 setup onto the remote system
      - role: andrewrothstein.python3
        python3_pyenv: "3.6.5"
      # Install Anaconda3 onto the remote system and install the listed packages as default
      - role: andrewrothstein.anaconda3
        anaconda_install_packages:
          -  absl-py==0.1.13

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root@gpu-01:~# python
Python 3.6.8 |Anaconda custom (64-bit)| (default, Dec 30 2018, 01:22:34) 
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorflow.python.client import device_lib
>>> print(device_lib.list_local_devices())
2019-04-03 19:09:01.537417: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-04-03 19:09:02.180944: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-04-03 19:09:02.181307: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties: 
name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545

akhan4u

#!/bin/bash

distribution=$(. /etc/os-release;echo $ID$VERSION_ID)

echo -e "Installing nvidia-docker2 for $distribution"

curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
    sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \

akhan4u

import boto3, os, botocore, traceback
from botocore.exceptions import ClientError

s3 = boto3.client('s3')

# READ VALUES FROM ENVIRONMENT VARIABLES
source_s3_bucket = os.environ['source_s3_bucket']

#kms_keyid = os.environ['Kms_Keyid']

akhan4u

1. Guided Self learning (https://linuxjourney.com)
2. Best one liners for linux command line (https://www.commandlinefu.com/commands/browse)
3. Find files in linux from command line (https://linuxize.com/post/how-to-find-files-in-linux-using-the-command-line)
4. Improve your typing speed on the command line with this awesome tool! (https://github.com/balzss/cli-typer)
5. An interactive cheatsheet tool for the command-line (https://github.com/denisidoro/navi)
6. Customize your shell environment to next level (https://github.com/alebcay/awesome-shell)
7. I find it useful to learn new things with the self learning courses offered by github (https://lab.github.com)
8. A static analysis tool for shell scripts (https://github.com/koalaman/shellcheck)
9. A good collection of bash snippets if you are starting to learn about shell scripts in linux (https://github.com/alexanderepstein/Bash-Snippets)
10. Linux workshop 10 days (https://linuxessentials.netlify.app)

akhan4u

#!/bin/sh
# Only Run If Any Cloudformation Template Is Modified And Checks Linting Of The Template
#------------------
RED='\033[0;31m'
GREEN='\033[0;32m'
NC='\033[0m'
#------------------

FILES=$(git diff --cached --name-only --diff-filter=ACMR "*.yml" "*.yaml" | sed 's| |\\ |g')

akhan4u

#! /bin/bash

# ECHO COMMAND
# echo Hello World!

# VARIABLES
# Uppercase by convention
# Letters, numbers, underscores
NAME="Bob"
# echo "My name is $NAME"

akhan4u

Learn Go in ~5mins

This is inspired by A half-hour to learn Rust and Zig in 30 minutes.

Basics

Your first Go program as a classical "Hello World" is pretty simple:

First we create a workspace for our project:

akhan4u

Kubernetes Learning Roadmap

1. Prerequisites

• Learn Container concepts & Gets Hands on with Docker ^{Complete Guide}
• Understand Distributed system ^Blog
• Understand Authentication & Authorization ^Blog
• Learn Basics of Key Value Store^Blog
• Learn the basics of REST API^Blog
• Learn YAML^Blog