gnsx

import os
import boto3
from botocore.exceptions import ClientError
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
# Setup the basics here
SENDER = "[email protected]"
RECIPIENT = "[email protected]"
SUBJECT = "Customer service contact info"

gnsx

mkdir nominatimdata
cd nominatimdata

wget https://download.geofabrik.de/asia/sri-lanka-latest.osm.pbf
wget https://download.geofabrik.de/asia/india-latest.osm.pbf
wget https://download.geofabrik.de/asia/bangladesh-latest.osm.pbf
wget https://download.geofabrik.de/asia/nepal-latest.osm.pbf

osmconvert bangladesh-latest.osm.pbf --out-o5m | osmconvert - nepal-latest.osm.pbf -o=bang-nep.pbf
osmconvert bang-nep.pbf --out-o5m | osmconvert - sri-lanka-latest.osm.pbf -o=bang-nep-sl.pbf

gnsx

Understand What is Programming
https://www.futurelearn.com/courses/programming-101/0/steps/43783

Further Reading
Data Types: https://en.wikipedia.org/wiki/Data_type
Data Structures: https://www.geeksforgeeks.org/data-structures/

What are programming languages
https://www.geeksforgeeks.org/introduction-to-programming-languages/

gnsx

package main

import "fmt"

//Point2D Structure
type Point2D struct {
	x float64
	y float64
}

gnsx

#for python 2.7
#!/usr/bin/env python
"""
Extract all attachments from '.eml' file EML_FILE into
directory OUTPUT_DIR. If OUTPUT_DIR does not exist, it will be
created.
Usage: extract_attachments.py EML_FILE OUTPUT_DIR
"""
import sys
import os

gnsx

//Base example to use while multithreading in golang
package main

import (
	"fmt"
)

func main() {
	done := make(chan bool)
	tasks := make(chan int64)

gnsx

/*Athena Query to get data between dates using epoch for timestamp*/
SELECT distinct(unique_id) AS unique_id ,
       second_field
FROM "table_name"
WHERE from_unixtime(epoch_time,'Asia/Kolkata') < (CURRENT_DATE - interval '1' DAY)
  AND from_unixtime(epoch_time,'Asia/Kolkata') > (CURRENT_DATE - interval '2' DAY)
  AND second_field = 'UPLIFTED'

gnsx

package main

import (
	b64 "encoding/base64"
	"fmt"
	"io/ioutil"
	"os"
)

func main() {

gnsx

//Sort implementation for custom types
// Encapsulates the statistical data that CloudWatch computes from metric data.
type Datapoint struct {
	_ struct{} `type:"structure"`

	// The average of the metric values that correspond to the data point.
	Average *float64 `type:"double"`

	// The percentile statistic for the data point.
	ExtendedStatistics map[string]*float64 `type:"map"`

gnsx

import "sort" 

ages := map[string]int{
	"a": 1,	
	"c": 3,	
	"d": 4,	
	"b": 2,
}

names := make([]string, 0, len(ages))