Artifician
Github Repository
  • Introduction
    • “Turn your data preparation nightmares into a dream.”
    • Why Artifician?
    • Simple Example
    • Without Artifician
    • Using Artifician
    • Output
  • Getting Started with Artifician
    • Pre-requisites
    • Installation
    • Using pip
    • Using conda
    • Verify Installation
    • Next Steps
  • Quick Start
    • Define Extractor
    • Initialize components
    • Subscriptions
    • Dataset Preparation
    • Output
  • Advanced Concepts
    • Processor Chaining
      • Overview
      • Key Features
      • Syntax Showcase
      • Example Scenario: NLP Processing Pipeline
      • Building an NLP Pipeline with processor chaining
      • Output
    • Defining Custom Extractors
      • Introduction
      • Why Custom Extractors?
      • How Extractors Work
      • Example of a Simple Extractor
      • Integrating Custom Extractors
      • Advanced Usage
      • Conclusion
    • Defining Custom Processors
      • Introduction
      • Why Custom Processors?
      • How Processors Work
      • Example of a Simple Processor
      • Integrating Custom Processors
      • Advanced Usage
      • Conclusion
    • Library Architecture
      • Events
      • Dataset
      • Feature Definition
      • Processors
      • Extractors
  • API Reference
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  • Pre-requisites
  • Installation
  • Using pip
  • Using conda
  • Verify Installation
  • Next Steps

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Getting Started with Artifician

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Last updated 1 year ago

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Welcome to the world of simplified data preparation with Artifician. To ensure a smooth experience, please follow this installation guide.

Pre-requisites

Before you can install Artifician, make sure your system meets the following prerequisites:

  • Python 3.6 or higher: Artifician is built on Python. If you haven’t installed Python yet, you can download it from .

To check your Python version, run the following command in your terminal:

python --version

or

python3 --version

Installation

Artifician can be easily installed through either pip or conda. Choose the method that’s most compatible with your workflow.

Using pip

If you are using pip, you can install Artifician with the following command:

pip install artifician

Using conda

For conda users, the package is available through the Plato Solutions channel. Install it using:

conda install -c plato-solutions artifician

Verify Installation

To verify that Artifician has been installed successfully, run the following command:

python -c "import artifician; print(artifician.__version__)"

If this prints the version number, congratulations! You’ve successfully installed Artifician and are ready to revolutionize your data preparation process.

Next Steps

Now that you’ve installed Artifician, it’s time to dive in and start using it. Head over to our to learn more about how you can leverage Artifician to simplify your dataset preparation.

here
Quick Start