natbusa

%%{ init: { 'flowchart': { 'curve': 'stepAfter' } } }%%
flowchart TD
    A["A"]
    A---B[B] 
    A---C[C]
    A---D[D]

natbusa

{
"id":1,
"data": "one"
}

natbusa

# Comparing pandas DateOffset strings directly one another is not available 
# as a method of the DateOffset class in python. The reason is straightforward:
# offsets are "timestamp context" dependent. 

# For example 1M can be either 28D, 29D, 30D, or 31D so there is no way to compare
# *exactly * DateOffset strings with each other out of context. 

# To alleviate this, here below you can find a reference implementation 
# for an approximate comparison assuming months of 30 days, and years of 365 days.

natbusa

mkdir -p tests/libs

cd tests/libs

git submodule add git@github.com:bats-core/bats-core bats
git submodule add git@github.com:bats-core/bats-support bats-support
git submodule add git@github.com:bats-core/bats-assert bats-assert

# try the following three steps
git submodule update --init --recursive

natbusa

#!/bin/bash

for con in natbusa "natbusa 5G";
do 
  echo ipv6.method ignore connection: \"$con\"
  nmcli con modify "$con" ipv6.method ignore
done;

natbusa

Slogan:
Data Pipelines as a Service.

Subtitle
Delivering turn-key data pipelines to process data from Source to APIs.

Vision:
Data pipelines are complex. They are often tough to setup and maintain. But a data pipeline is a mean to an end not a goal in itself. Most company are stuck at endless engineering cycles with very limited output for what business is concerned. Our vision is to let you concentrate on the golden nuggets hidden in your data rather then spending time and effort in setting up complex toolchains. Select and instantiate our data pipeline templates and jump start your data-driven journey!

Offering:

natbusa

Bucket Policy

Bucket policy is an access policy available for you to grant anonymous permissions to your Minio resources. Bucket policy uses JSON-based access policy language.

This section presents a few examples of typical use cases for bucket policies. To test these policies, you need to replace these strings with your bucket name. For more information please read Amazon S3 access policy language

Granting Read-Only Permission to an Anonymous User

The following example policy grants the s3:GetObject permission to any public anonymous users. This permission allows anyone to read the object data under testbucket, which is useful for when you have publicly readable assets. A typical example is website assets stored in testbucket.

natbusa

IAM policy recipes

• User Read Write access
• User Read Only access
• User Write Only access

Public Read Write

Type: bucket

{

natbusa

Dell XPS for Ubuntu 18.04

Bios:

press F12 on the Dell startup screen

• disable safe boot
• Change SATA Operation from "RAID On" to "AHCI"
• Enable Legacy Boot as well as UEFI

Install Ubuntu from USB drive

Instructions are here: https://www.ubuntu.com/download/desktop

natbusa

Keybase proof

I hereby claim:

• I am natbusa on github.
• I am natbusa (https://keybase.io/natbusa) on keybase.
• I have a public key ASCoyuEqzz31jia6w-mBBuacJo6kypp6ETntB9kn4tOqqwo

To claim this, I am signing this object: