How-to articles, tricks, and solutions about PERFORMANCE

C++ is generally considered to be a faster and more performant language than Java or C#.

To convert a Set to a List in Java without creating a new List object, you can use the List constructor that takes a Collection as an argument.

In Pandas, you can delete a row in a DataFrame based on a certain column value by using the drop() method and passing the index label of the row you want to delete.

The fastest way to check if a value exists in a list is to use the in operator.

You can use the set data type to find the difference between two lists with unique entries.

To read a large text file line by line in Java, you can use a BufferedReader and pass it a FileReader object to read the file. Here's an example of how you can do this:

There are several ways to measure elapsed time in Python.

There are several ways to profile a Python script:

There are several ways to benchmark the efficiency of a PHP script, including:

To calculate the running time of a program in Java, you can use the System.currentTimeMillis() method to get the current time in milliseconds before and after the program runs.

To find the Java heap size and the amount of memory used on a Linux system, you can use the jstat command and specify the process ID (PID) of the Java process.

There are several ways to apply a function to every element of a numpy array, and the most efficient method will depend on the size and shape of the array, as well as the complexity of the function.

In Python, there are several ways to format strings.

In Java, you can use either a StringBuilder or string concatenation to create a string representation of an object.

Python code can run faster in a function because of something called "Just-In-Time" (JIT) compilation.

The range() function generates a sequence of numbers, starting from the first argument, and ending before the second argument.

Processing a sorted array can be faster than processing an unsorted array because certain algorithms and operations have a lower average time complexity when the input is already sorted.