01_welcome.md

Welcome to the Kedro training!

Welcome! We are so pleased you are starting your Kedro journey.

What you'll cover

• ➡️ Training prerequisites ⬅️ Read this before training starts
• Create a new Kedro project
• Project dependencies
• Add a data source
• Jupyter notebook workflow
• Kedro pipelines
• Pipeline visualisation
• Versioning
• Package your project
• Configuration
• Transcoding
• Custom datasets
• Custom CLI commands
• Kedro plugins

Before your training session

These training materials assume some level of technical understanding, such as knowledge of Python and use of a command line interface. To optimise your experience and learn the most you can from the Kedro training, please review the following and then take a look at the prerequisites page to get the necessary software, including Kedro, installed and running before your training session.

Prerequisite knowledge: Python, YAML and the CLI

• You should be familiar with Python basics. Take a look at this tutorial to confirm you are comfortable with:

• Functions, loops, conditional statements and IO operation

• Common data structures including lists, dictionaries and tuples

• You should also:

  • Be able to install Python packages using pip
  • Understand the basics of dependency management with requirements.txt
  • Know about Python modules (e.g how to use __init__.py and relative and absolute imports)
  • Have familiarity with Python data science libraries, especially Pandas and scikit-learn
  • Understand how to use Jupyter Notebook/Lab and iPython)
  • Be able to use a virtual environment (we recommend using conda, but you can also use venv or pipenv)

• You should know basic YAML syntax

• When working with the command line, you should be familiar with:

  • cd to navigate directories
  • ls to list files and directories
  • Executing a command and Python program from the command line

Note: If you have any problems or questions, please contact an instructor before the training.

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