Sampath Kumar msampathkumar

Gen AI Labs: Duet AI for Developers - Warsaw

Description: An interactive hands-on session where you'll experiment with Duet AI and learn how it can transform your work.
Date: March 14, 2024 13:30–18:30 CET
Location: Google Warsaw. The Warsaw Hub, rondo Daszyńskiego 2c
Landing page: https://inthecloud.withgoogle.com/duet-ai-roadshow-warsaw/register.html

Roadshow Event - Links:

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

Setup a Spark Context

spark = SparkSession.builder.appName('Magic').getOrCreate()

File IO

df = spark.read.format("csv").option("multiline", True).option("delimiter", ",").load(file_path)

	import base64
	from cryptography.hazmat.primitives.asymmetric import ed25519
	from cryptography.hazmat.primitives import serialization

	private_key = ed25519.Ed25519PrivateKey.generate()
	public_key = private_key.public_key()

	private_key_str = private_key.private_bytes(
	encoding=serialization.Encoding.Raw,
	format=serialization.PrivateFormat.Raw,

	#
	# Copyright 201 Google Inc. All Rights Reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software

	# Testing https://github.com/GoogleCloudPlatform/magic-modules/pull/5448/files


	# Step by Step - Instructions

	- Step1: Download files

	```
	wget https://github.com/GoogleCloudPlatform/magic-modules/raw/e8d547a02b95d7a1a650b52c5968404ee57a7b14/mmv1/products/compute/terraform.yaml
	wget https://github.com/GoogleCloudPlatform/magic-modules/raw/e8d547a02b95d7a1a650b52c5968404ee57a7b14/mmv1/templates/terraform/examples/external_ssl_proxy_lb_mig_backend_custom_header.tf.erb

	# Extracted using: $ unzip -p lib/pycharm.jar com/jetbrains/python/PyBundle.properties \| grep -B1 INSP.NAME \| grep '^#' \| sed 's\|Inspection\|\|g' \| sed -e 's\|#\s\{,1\}\|# noinspection \|'

	# noinspection PyPep8
	# noinspection PyPep8Naming
	# noinspection PyTypeChecker
	# noinspection PyAbstractClass
	# noinspection PyArgumentEqualDefault
	# noinspection PyArgumentList
	# noinspection PyAssignmentToLoopOrWithParameter
	# noinspection PyAttributeOutsideInit

	import io
	import pandas as pd


	def split_s3_name(s3_path):
	bucket, key = s3_path.strip('s3://').split('/', 1)
	return (bucket, key)


	def read_from_s3(file_name):

	from airflow.models import Variable

	# Common (Not-so-nice way)
	# 3 DB connections when the file is parsed
	var1 = Variable.get("var1")
	var2 = Variable.get("var2")
	var3 = Variable.get("var3")

	# Recommended Way
	# Just 1 Database call