The absolute best place to learn data engineering and AI engineering
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DataExpert.io has a significant public GitHub presence, focusing on data engineering and AI engineering. Their repositories include the data-engineer-handbook, which serves as a comprehensive resource for aspiring data engineers, and the llm-driven-data-engineering, which delves into large language model concepts. The organization primarily utilizes Python and Jupyter Notebook in their projects.
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Public repositories
data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
llm-driven-data-engineering
This is a public repository to go over all the LLM-driven data engineering concepts.
ai-engineer-handbook
All the links, books, and creators you need to follow to stay up to date with AI!
cumulative-table-design
This repository helps teach people how to correctly define and create cumulative tables!
analytics-engineer-handbook
This repo has all the resources you need to become an amazing analytics engineer!
vector-database-example
No description provided for this repository.
auto-feedback-example
No description provided for this repository.
Frequently asked questions
What does DataExpert-io build on GitHub?
DataExpert-io builds a variety of repositories related to data engineering and AI engineering. Notable projects include the data-engineer-handbook and the ai-engineer-handbook, which provide extensive resources and guidance in these fields.
Which programming languages does DataExpert-io use?
DataExpert-io primarily uses Python and Jupyter Notebook in their public repositories. These languages are well-suited for data engineering and AI applications, allowing for effective data manipulation and analysis.
Are DataExpert-io's repositories public?
Yes, all of DataExpert-io's repositories are public. This allows users to access a wealth of information, tutorials, and examples related to data engineering and AI, fostering community learning and collaboration.
Is this exposure intended?
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