Resources

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resources is an Open Source knowledge management tool that provides a curated collection of Go-based data science resources. It offers links to community resources, packages, libraries, and tools for data analysis, visualization, and machine learning.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is resources?

resources is an open-source repository dedicated to curating and organizing Go-based data science resources. It serves as a central hub for developers and data scientists working with the Go programming language, offering a comprehensive collection of links to various community resources such as events, conferences, and blogs. Additionally, it provides an extensive list of tooling resources, including essential packages, libraries, and development tools specifically designed for data analysis, visualization, and machine learning tasks within the Go ecosystem. This makes it an invaluable asset for anyone looking to explore or deepen their work in data science using Go.

Best used for

Ideal for data scientists who need to quickly find relevant Go packages for data analysis, discover libraries for machine learning, and stay informed about community events. Especially valuable for those building data-intensive applications or conducting research using the Go programming language.

Common actions

discover Go data tools

find Go data libraries

explore Go data science

organize Go resources

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Capabilities

Key features

Go data analysis resources
Go visualization resources
Go machine learning resources
Community event listings
Go package directory
Go library directory

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of resources are included in gopherdata/resources?

The repository includes a wide range of resources for Go-based data science, covering data analysis, visualization, and machine learning. It features links to community resources like events, conferences, and blogs, as well as tooling resources such as packages, libraries, and development tools.

Is gopherdata/resources actively maintained?

As an open-source project on GitHub, gopherdata/resources is subject to community contributions and updates. The repository shows a history of commits, indicating ongoing maintenance and additions to keep the resource list current and relevant for the Go data science community.

How can I contribute to the gopherdata/resources list?

Being an open-source project, contributions are typically welcomed via GitHub. Users can fork the repository, add new resources or update existing ones, and then submit a pull request for review. This collaborative approach helps keep the resource list comprehensive and up-to-date.

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Subcategories trending in Research & Education

Academic Research Study Assistants Course Creation Scientific Computing Summarization Language Learning

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Also listed in

This tool also appears in

Data & Analytics › Data Visualization Coding & Development › Documentation Productivity & Business › File & Knowledge Org Coding & Development › Open Source & Models

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