Loy Vanich laploy

## diamonds endpoint test.py
import urllib.request
import json

data = {
    "Inputs": {
        "WebServiceInput0":
        [
            {
                "carat": -2.617849,
                "cut": "Ideal",

## DiamondsTest1.json
{
    "Inputs": {
        "WebServiceInput0":
        [
            {
		"carat": -2.617849,
		"cut": "Ideal",
		"color": "E",
		"clarity": "SI2",
		"depth": -0.215863,

## GetSaveData-Program.cs
// laploy@gmail.com Mar 2025
using Azure;
using Azure.Data.Tables;
using Newtonsoft.Json;
using RestSharp;
using System.Net;


namespace testGetApi
{

## TestApi-Program.cs
// laploy@gmail.com Mar 2025
using RestSharp;
using System.Net;

namespace TestApi
{
    internal class Program
    {
        static async Task Main(string[] args)
        {

## MinimalAPI-Program.cs
// laploy@gmail.com March 2025
namespace MininalApi
{
    public class Program
    {
        public static void Main(string[] args)
        {
            var builder = WebApplication.CreateBuilder(args);
            var app = builder.Build();

## histogram.py
# Loy 2025
# import all modules
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

# Read in the DataFrame
df = pd.read_csv('Titanic-Dataset.csv')

# creating a histogram

## loyamlbook.txt
CSViewer https://csviewer.com/

## exc27.py
import pandas as pd

def replace_gender(x):
    gender = x['Gender']
    if gender in ['Male', '0', 'M', 'm', 'A']:
        return 'male'
    if gender in ['Female', '1', 'F', 'f', 'B']:
        return 'female'

def azureml_main(dataframe1 = None, dataframe2 = None):

## exc27.csv

          
            ID
            Name
            Age
            Gender

            
              1
              Lady
              30
              Male

            
              2
              Boy
              20
              Female

            
              3
              King
              40
              0

            
              4
              Lord
              25
              1

            
              5
              Gay
              44
              M

            
              6
              Queen
              52
              F

            
              7
              Trans
              62
              m

            
              8
              Les
              80
              f

            
              9
              Gaylord
              69
              A

## TestBotApi.cs
// laploy@gmail.com Feb 2025
using RestSharp;
using System.Net;

namespace TestBot
{
    internal class Program
    {
        static void Main(string[] args)
        {
	import urllib.request
	import json

	data = {
	"Inputs": {
	"WebServiceInput0":
	[
	{
	"carat": -2.617849,
	"cut": "Ideal",
	// laploy@gmail.com Mar 2025
	using Azure;
	using Azure.Data.Tables;
	using Newtonsoft.Json;
	using RestSharp;
	using System.Net;


	namespace testGetApi
	{
	// laploy@gmail.com March 2025
	namespace MininalApi
	{
	public class Program
	{
	public static void Main(string[] args)
	{
	var builder = WebApplication.CreateBuilder(args);
	var app = builder.Build();
	# Loy 2025
	# import all modules
	import pandas as pd
	import seaborn as sns
	import matplotlib.pyplot as plt

	# Read in the DataFrame
	df = pd.read_csv('Titanic-Dataset.csv')

	# creating a histogram
	import pandas as pd

	def replace_gender(x):
	gender = x['Gender']
	if gender in ['Male', '0', 'M', 'm', 'A']:
	return 'male'
	if gender in ['Female', '1', 'F', 'f', 'B']:
	return 'female'

	def azureml_main(dataframe1 = None, dataframe2 = None):
ID	Name	Age	Gender
1	Lady	30	Male
2	Boy	20	Female
3	King	40	0
4	Lord	25	1
5	Gay	44	M
6	Queen	52	F
7	Trans	62	m
8	Les	80	f
9	Gaylord	69	A
	// laploy@gmail.com Feb 2025
	using RestSharp;
	using System.Net;

	namespace TestBot
	{
	internal class Program
	{
	static void Main(string[] args)
	{