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Mastering the Art of Faking with Python’s Faker Library

Python in Plain English

Photo by Jonathan Borba on Unsplash Ever got stuck in the start of writing a code because you can’t decide what to put in to the initial data? Well you know what they say: “Fake it till you make it!” ...

You Don’t Need Sample Data, You Need Python Faker

Towards Data Science

An extendable Python library that generates fake data to “fill” your project Continue reading on Towards Data Science

Python: Create Fake Data with Faker

Mouse Vs Python

Every once in a while, I run into a situation where I need dummy data to test my code against. If you need to do tests on a new database or table, you will run into the need for dummy data often. I re...

Faker: An Amazing and Insanely Useful Python Library

Towards Data Science

Faker is the Powerful, Amazing and extremely useful Python package to generate dummy data. faker generator faker.Faker() country specific data for dummies.

How to Quickly Generate Fake Data in Python Using Faker

Python in Plain English

A guide on how you can use the Faker library to generate fake data Continue reading on Python in Plain English

Python: Create Synthetic Data Using Faker

Python in Plain English

Member-only story Python: Create Synthetic Data Using Faker Konstantinos Patronas · Follow Published in Python in Plain English · 2 min read · 7 hours ago -- Share Faker is a Python library that can g...

Faking Data with the Faker Package

Mouse Vs Python

If you are a software developer or engineer, then you know it can be really helpful to have sample data. The data doesn't have to be real data either. Instead, the data can be fake. For example, if yo...

Faker library in python - An intriguing expedient for data scientists

Towards Data Science

Installation, usage, and application of the “Faker” library in python that can generate prodigious dummy datasets in a short span of time for data science experiments Photo by Markus Spiske on Unspla...

Generating Fake Data with Python

Towards Data Science

The first step in data analysis is finding data to analyze. Here we generate a fake dataset using Python, Pandas, Numpy, and Faker.

Fake (almost) everything with Faker

Towards Data Science

I was recently tasked with creating some random customer data, with names, phone numbers, addresses, and the usual other stuff. At first, I thought I’ll just generate random strings and numbers (some…...

How to Create Fake Data with Faker

Towards Data Science

Let’s say you want to create data with certain data types (bool, float, text, integers) with special characteristics (names, address, color, email, phone number, location) to test some Python…

Generation of large CSV data using Python Faker.

Towards Data Science

To the learners out there, who need large amount of fake data to experiment different algorithm. Mammoth data is generated online each second in various domains but for learning and experimenting…

How I Created a Fake News Detector with Python

Towards Data Science

Developing a fake news detection app with spaCy and Streamlit

Generate Your Own Fake Data In Seconds

Daily Dose of Data Science

Usually, for executing/testing a pipeline, we need to provide it with some dummy data. Although using Python's "𝐫𝐚𝐧𝐝𝐨𝐦" library, one can generate random strings, floats, and integers. Yet, being...

Python Package Focus: Faker

Towards Data Science

There are so many Python packages out there, and for people who are learning the language, it can be overwhelming to know what tools are available to you. I am looking to uncover some of the…

How to Generate Synthetic Data with Faker in Python and Azure ML

Python in Plain English

A guide on creating a script using Python to generate synthetic data in 3 different datasets. Photo by Nubelson Fernandes on Unsplash In a current use case that I am working on, the business users wa...

Drawing to Generate Fake Data in Jupyter Notebook

Analytics Vidhya

Generating fake data for your tests has never been more fun or easy. If you are ever lacking data or just need some mock data to run a through a model or what have you, then look no further because…

Under the Hood | Faker

ArjanCodes

This is a new series called “Under the Hood." In this live stream, I'll dive into the code and design of an open-source project together with you. This is going to be completely unscripted, so you'll ...

How to generate pseudo-random datasets in Python: start from scratch with Numpy & Faker

Towards Data Science

You are about to start on your next data project but you immediately run into an obstacle: the data you are looking to use is not easily accessible. No matter the use case, the goal of this article…

Generating a Fake Database with Python

Python in Plain English

As someone who is frequently building data engineering projects, I find myself spending a good deal of time sifting through public api’s, searching for the “right” kind of data that will fit my…

Fake It! — A look at the Faker library for generating synthetic data.

Level Up Coding

Overview In this article we are going to review a powerful library for generating synthetic data called Faker , specifically the Java variant. I recently had the task of generating a large amount of E...

Creating a Python Wordle Clone & Testing Environments With Nox | Real Python Podcast #145

Real Python

Would you like to practice your Python skills while building a challenging word game? Have you been wanting to learn more about creating command-line interfaces and making them colorful and interactiv...

How to build a Fake News Detection Web App using Flask

Towards Data Science

The spread of fake news is unstoppable with the adoption of different social networks. On Twitter, Facebook, Reddit, people take advantage of fake news to spread rumours, win political benefits and…

The Real Python Podcast – Episode #109: Start Testing Your Python with doctest & Pagination in Django

Real Python

Did you know you can add testing to your Python code while simultaneously documenting it? Using docstrings, you can create examples of how your functions should interact in a Python REPL and test them...