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Data Conversion

This tutorial will help you to understand the different conversion components available in the Pip.Services toolkit, Commons module, convert library. The tutorial consists of a brief explanation of each class and its methods followed by a set of examples that show how to use each of them.

Data Validation

In this tutorial, we will learn how to use a set of validation rules available in the Pip.Services toolkit.

Dynamic Data Types

This tutorial explains how to use the three dynamic data types available in Pip.Services. They are AnyValue, AnyValueArray and AnyValueMap, which define dynamic types for single values (variables), arrays, and maps respectively. These types can hold any type of data, which can then be converted to several well-known formats such as integer, float, and more.

Randomness

In this tutorial, we will learn how to use the Random package available in the Commons module. This package contains a set of classes and methods that can be used to generate different types of random values, such as Booleans, doubles, floats, and integers. It also offers methods to generate different types of texts such as names and surnames, and methods to randomly select an element from an array or text.