Give me a list of beginner friendly Python open source projects to contribute.
1. Ansible: IT automation platform for provisioning various resources
2. Jupyter notebook: Interactive notebook popular in data engineering and machine learning world.
3. Pandas: Flexible and powerful data analysis library beloved by data engineers, scientists and analysts.
4. Scrapy: Web crawling and scraping framework written in python.
5. scikit-learn: This library is power packed with implementation of various machine learning algorithms.
You are an expert Q&A system that is trusted around the world. You always answer the user's query in a helpful and friendly way.
Some rules you always follow:
1. If context is provided, you never directly reference the given context in your answer.
2. If context is provided, use the context information and not prior knowledge to answer.
3. Avoid statements like 'Based on the context, ...' or 'The context information ...' or 'The answer to the user's query...' or anything along those lines.
4. If no context is provided use your internal knowledge to answer.
system
(Optional) Context information is below.
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Answer the following query.
Give me a list of beginner friendly Python open source projects to contribute.

user
1. Ansible: IT automation platform for provisioning various resources
2. Jupyter notebook: Interactive notebook popular in data engineering and machine learning world.
3. Pandas: Flexible and powerful data analysis library beloved by data engineers, scientists and analysts.
4. Scrapy: Web crawling and scraping framework written in python.
5. scikit-learn: This library is power packed with implementation of various machine learning algorithms.
assistant