Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164

Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164

Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data science with their insightful guest, Sandy Ryza a lead engineer from Dagster Labs. In this episode, they explore a range of intriguing topics, from the impact of the broken windows theory on code quality to the delicate balance of maintaining backward compatibility in evolving software projects.
Sandy talks about the challenges and learnings in transitioning from data science back to software engineering, including dependency management and designing for diverse use cases. They touch on the importance of clear naming conventions, tooling, and infrastructure enforcement to maintain high code quality. Plus, they discuss the intricate process of selecting and managing Python libraries, the satisfaction of refactoring old code, and the necessity of balancing new feature development with stability.
Michael and Ben will guide us through these essential discussions, emphasizing the significance of user-centric API design and the benefits of open source software. They also get practical advice on navigating API changes and managing dependencies effectively, with real-world examples from Dagster, Spark Time Series, and the libraries Numba and Pydantic.
Join them for an episode packed with valuable insights and strategies for becoming a top-end developer! Don’t forget to follow Sandy on Twitter and check out Dagster.io for more information on his work.

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Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161

Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161

In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of AI and machine learning in modern HR practices. They tackle a range of topics, star...

8 Elo 202456min

How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160

How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160

In today's episode, they delve deep into the intertwining worlds of technology, security, and innovation with Aaron Painter, CEO at Nametag.Aaron kicks things off by underlining the cultural facets in...

24 Heinä 20241h 6min

AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive experience in software infrastructure and leadership roles at Eclipse Shay, Red Hat,...

18 Heinä 202457min

Functional Programming Shift and Scalable Architecture Insights - ML 158

Functional Programming Shift and Scalable Architecture Insights - ML 158

In today's episode, they dive deep into the evolving landscape of software development. Join us as Kirk, the CTO and founder at Graphlit, shares his journey from traditional software at Microsoft to p...

11 Heinä 202456min

Mentorship and Management: Creating a Collaborative Work Environment - ML 157

Mentorship and Management: Creating a Collaborative Work Environment - ML 157

In today's episode, Michael and Ben alongside our guest Alex Levin dive deep into the evolving landscape of AI development and its broader implications on business and society. You'll hear Ben emphasi...

4 Heinä 202454min

The Intersection of Success and Talent Retention in Software Development - ML 156

The Intersection of Success and Talent Retention in Software Development - ML 156

In today's episode, Michael and Ben dissect the process of building maintainable and impactful products, emphasizing the crucial balance between innovation and simplicity. They explore personal and gr...

27 Kesä 20241h

Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine learning roles. They discuss the importance of assessing candidates' genuine knowledg...

20 Kesä 202457min

Balancing Theoretical Knowledge with Hands-on Experience - ML 154

Balancing Theoretical Knowledge with Hands-on Experience - ML 154

Michael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in distributed machine learning. Today’s conversation dives deep into the intersection of AI, e...

13 Kesä 20241h 7min

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