![]() ![]() You may also provide a list with multiple locales as the argument. ![]() The default is 'en_US' if no argument is provided. We import the code> class from the code> library and instantiate three new objects:Īs we have done here, code>.code>() can take a locale as an optional argument. Here, we start by generating some test personal data to represent customers. The documentation for code> has some useful information and examples. ![]() Installation is quick and easy from the command line with pip. This library may be used to generate personal data, company data, fake text sentences, Python data structures such as lists and dictionaries, and more. Fake it to Make itįaker is a Python library designed to generate fake data, which may be used to train a machine-learning algorithm or test an application. It includes many interactive exercises to give you practical experience in working with data. If you’re searching for some learning material to get a background in data science, check out our course " Introduction to Python for Data Science" which is perfect for beginners. Another option is to produce your own data, which we cover here. Web scraping in Python is a great way of collecting data. Or you may have to go out and collect it yourself. If you’re lucky, you may find some relevant publicly available data. The data may be provided directly to you by a customer. Getting your hands on data is the first step of any data analysis project. If you’re building an application designed to process data, you need an appropriate test dataset to make sure all the bugs have been ironed out. This article introduces you to a useful library to generate test data in Python. Here's all you need to know about the code> library for generating test data in Python. ![]()
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