From this benchmark, we are able to understand that Rust has consistent performance and is almost always faster than C# and Go. But that is to be expected as Rust runs on the metal. Between C# and Go the performance seems to be nuanced. As C# and Go seems to outperform each other in difference scenarios. 

using System;

namespace IndexedProperties
{
    public class Data
    {
        private int[] _localArray;
        private ArrayIndexer _arrayIndexer;

        public Data()
        {
            _localArray = new int[10];
            for (int i = 0; i < 10; i++)
                _localArray[i] = i + 1;
            _arrayIndexer = new ArrayIndexer(this);
        }
        
        public ArrayIndexer Number
        {
            get { return _arrayIndexer; }
        }       

        public class ArrayIndexer
        {
            private Data _arrayOwner;

            public ArrayIndexer(Data arrayOwner)
            {
                _arrayOwner = arrayOwner;
            }

            public int this[int index]
            {
                get { return _arrayOwner._localArray[index]; }
            }

            public int Length
            {
                get { return _arrayOwner._localArray.Length; }
            }
        }
    }


    class Program
    {
        static void Main(string[] args)
        {
            var data = new Data();
            for (int i = 0; i < 10; i++)
                Console.WriteLine(data.Number[i]);
        }
    }
}

When I launched Google Chrome for the first time (and let it sit for a minute), 32 requests were made, and 7.26 MB of data downloaded. 

I really like working with Vue.js on the frontend, altough server side rendering have not been supported until the second version of it

• PHP is actively developed with a new release each year
• Performance since the PHP 5 era has doubled, if not tripled
• There's a extremely active eco system of frameworks, packages and platforms
• PHP has had lots of new features added to it over the past few years, and the language keeps evolving
• Tooling like static analysers has matured over the past years, and only keeps growing 

SQL Server 2014 DML Triggers are often a point of contention between Developers and DBAs, between those who customize a database application and those who provides it. They are often the first database objects investigated when the performance degrades. They seem easy to write, but writing efficient Trigger, though complex have a very important characteristic: they allow solving problems that cannot be managed in any other application layer. Therefore, if you cannot work without them, in this article you will learn tricks and best practices for writing and managing them efficiently.