Philipp Burckhardt and Athan Reines share their vision for making the web a top environment for numerical computation. They discuss the evolution of data science, building open-source communities, the development of JavaScript standard libraries, and future plans for expanding functionality to support advanced use cases like machine learning.
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Quick takeaways
Developing SDKs for APIs enhances user experiences.
SpeakEasyAPI.dev streamlines SDK generation process for API usage.
Data science tools like LLMs aid in data structuring.
Deep dives
Generating SDKs for API Developer Experience
Developing SDKs for APIs is crucial to enhancing user and developer experiences. As APIs expand, organizations need to provide SDKs to support user interactions efficiently. Companies invest significantly in creating SDKs for improved developer experiences, either through manual development or code generator tools.
Onboarding Flow for SpeakEasyAPI.dev
SpeakEasyAPI.dev streamlines the SDK generation process for API usage. By submitting an open API document, users can select their preferred programming language for the SDK. This platform automates the SDK creation process, updates it with backend changes, and publishes the SDK along with detailed documentation for user convenience, simplifying API integration.
Data Science Evolution and Challenges
The field of data science faces challenges in delivering promised value and adapting to evolving industry demands. The role of data scientists has shifted towards data engineering for data quality and manipulation tasks. Data science tools like LLMs provide assistance in data structuring, albeit with limitations and potential errors, emphasizing the importance of data handling in the field.
The Standard Library for JavaScript and Numerical Computing
Standard Library.io, focused on numerical computing on the web, aims to provide a robust set of math functions, utility tools, and statistical computations for JavaScript developers. Additionally, collaborations with Math.js demonstrate efforts to consolidate and enhance JavaScript's capabilities for advanced computations and data processing tasks.
Future Development and Community Engagement
The Standard Library project continues to enhance its linear algebra functionalities and automation processes to broaden its usage scope in machine learning and data algorithms. Initiatives like Google Summer of Code aim to accelerate project growth, while community surveys seek user insights to guide future feature development and address user requirements effectively.
Philipp Burckhardt, Athan Reines & the team behind stdlib.io believe in a future in which the web is a preferred environment for numerical computation. They’ve been working toward building that future for over a decade. Thanks to listener, Brian Zelip, Jerod sits down with Philipp to learn all about this excellent effort: where it’s been & where it’s headed.
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