Notes on mattanalytix

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Hello World

A sample go program is show here.

package main

import "fmt"

func main() {
 message := greetMe("world")
 fmt.Println(message)
}

func greetMe(name string) string {
 return "Hello, " + name + "!"
}

Run the program as below:

$ go run hello.go

Variables

Normal Declaration:

var msg string
msg = "Hello"

Shortcut:

msg := "Hello"

Constants

const Phi = 1.618

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

Introduction

SASS is a styling framework which sits on top of CSS, which allows you to use loops, variables …

Every css file is a valid scss file (i.e. if you have a bunch of css files already you can simply convert them to .scss files to get started).

Installation on Mac

SASS is written in Ruby, hence you need to download Ruby to use SASS. The two programmes required to use SASS are Ruby and Ruby Gems (a package manager for Ruby).

Basic Types

Mon, 01 Jan 0001 00:00:00 +0000

Strings

str := "Hello"

Multiline string

str := `Multiline
string`

Numbers

Typical types

num := 3 // int
num := 3. // float64
num := 3 + 4i // complex128
num := byte('a') // byte (alias for uint8)

Other Types

var u uint = 7 // uint (unsigned)
var p float32 = 22.7 // 32-bit float

Arrays

// var numbers [5]int
numbers := [...]int{0, 0, 0, 0, 0}

Pointers

func main () {
 b := *getPointer()
 fmt.Println("Value is", b)

func getPointer () (myPointer *int) {
 a := 234
 return &a

a := new(int)
*a = 234

Pointers point to a memory location of a variable. Go is fully garbage-collected.

Usage

Mon, 01 Jan 0001 00:00:00 +0000

Variables

Variables are intuitive as in any other programming language. The syntax for variables is like the below.

$my-color = "blue"

.my_class {
 color: $my-color;
}

Nesting

This is also intuitive but a very useful feature of scss. You can nest css classes. This is much more readable when you have several nested elements.

main article p {
 color: yellow
}

scss equivelant:

main {
 article {
 p {
 color: yellow;
 }
 }
}

Partials and Imports

You can create a partial in scss by naming your file with a leading _ (i.e. _header.scss). Then import the file with:

Flow Control

Mon, 01 Jan 0001 00:00:00 +0000

Condition

if day == "sunday" || day == "saturday" {
 rest()
} else if day == "monday" && isTired() {
 groan()
} else {
 work()
}

if _, err := doThing(); err != nil {
 fmt.Println("Uh oh")

Switch

switch day {
 case "sunday":
 // cases don't "fall through" by default!
 fallthrough

 case "saturday":
 rest()

 default:
 work()
}

Loop

for count := 0; count <= 10; count++ {
 fmt.Println("My counter is at", count)
}

entry := []string{"Jack","John","Jones"}
for i, val := range entry {
 fmt.Printf("At position %d, the character %s is present\n", i, val)

n := 0
x := 42
for n != x {
 n := guess()
}

File Manipulation

Mon, 01 Jan 0001 00:00:00 +0000

Condition

if day == "sunday" || day == "saturday" {
 rest()
} else if day == "monday" && isTired() {
 groan()
} else {
 work()
}

if _, err := doThing(); err != nil {
 fmt.Println("Uh oh")

Bash Variables

Mon, 01 Jan 0001 00:00:00 +0000

Variable

NAME="John"
echo $NAME
echo "$NAME"
echo "${NAME}

Condition

if [[ -z "$string" ]]; then
 echo "String is empty"
elif [[ -n "$string" ]]; then
 echo "String is not empty"
fi

DBT Basic

Mon, 01 Jan 0001 00:00:00 +0000

Useful Resources

Syntax overview - dbt’s note selection syntax
Optimizing VS Code for dbt on Mac - awesome vs code setup for dbt, article written specifically for Mac but same could be done for Windows
Pro tips for workflows - advanced dbt workflows
Youtube: Create Modular Date Models - presentation explaining how you can refactor dbt data models to make them more structured and performant
Project Checklist: DAG Auditing

Workflows

DBT saves artifacts when jobs are run which allows for creating powerful workflows. The states of commands are saved as artifacts. For example, the below code will reference the status of the data’s freshness and only build models that are “fresh”.

GCP Cloud SQL

Mon, 01 Jan 0001 00:00:00 +0000

Delete an Instance

By default Cloud SQL instances are created with deletion protection. To delete an instance you must first remove deletion protection using the gcloud cli. Run the following code in gcloud with your instance name to delete a Cloud SQL instance.

gcloud sql instances patch [INSTANCE_NAME] --no-deletion-protection
gcloud sql instances delete [INSTANCE_NAME]