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DataGen is a Python library for generating random data of different types: strings, numbers, lists, etc. Used to create test data, analysis and other operations with random data.

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DataGen: Library for Generating Random Data of Various Types

Description

DataGen is a library for generating random data of various types. It provides simple and convenient methods for creating random strings, numbers, lists, and other data types.

Key Features

  • Generation of Random Strings: The library allows creating random strings of a specified length from ASCII characters.
  • Generation of Random Numbers: You can generate random integers within a specified range or floating-point numbers with a given precision.
  • Generation of Random Lists: DataGen can create random lists of a specified length containing numbers, strings, or other elements.
  • Support for Various Data Types: The library supports generating data of various types, making it a versatile tool for testing and creating random data.

This is just a brief overview of DataGen's capabilities. It offers a variety of functions for generating diverse random data, which can be used in various scenarios such as software testing, generating test data, and more.

About

DataGen is a Python library for generating random data of different types: strings, numbers, lists, etc. Used to create test data, analysis and other operations with random data.

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