The concept of literate programming, or the idea of programming in a document, was first introduced in 1984 by Donald Knuth. And as of today, notebooks are now the defacto tool for doing data science work. So as the data tooling space continues to evolve at breakneck speed, what are the possible directions the data science notebook can take?
In this episode of DataFramed, we talk with Dr. Jodie Burchell, Data Science Developer Advocate at JetBrains, to find out how data science notebooks evolved into what they are today, what her predictions are for the future of notebooks and data science, and how generative AI will impact data teams going forward.
Jodie completed a Ph.D. in clinical psychology and a postdoc in biostatistics before transitioning into data science. She has since worked for 7 years as a data scientist, developing products ranging from recommendation systems to audience profiling. She is also a prolific content creator in the data science community.
Throughout the episode, Jodie discusses the evolution of data science notebooks over the last few years, noting how the move to remote-based notebooks has allowed for the seamless development of more complex models straight from the notebook environment.
Jodie and Adel’s conversation also covers tooling challenges that have led to modern IDEs and notebooks, with Jodie highlighting the importance of good database tooling and visibility. She shares how data science notebooks have evolved to help democratize data for the wider organization, the tradeoffs between engineering-led approaches to tooling compared to data science approaches, what generative AI means for the data profession, her predictions for data science, and more.
Tune in to this episode to learn more about the evolution of data science notebooks and the challenges and opportunities facing the data science community today.
Links to mentioned in the show:
More on the topic:
#74 Harnessing the Power of Collaboration with Engineering Manager at Lucid Software, Brian Campbell
#73 Scaling AI Adoption in Financial Services with Chief Strategy Officer and Head of Financial Services at TruEra Shameek Kundu
#72 Building High Performing Data Teams with Syafri Bahar, VP of Data Science at Gojek
#71 Scaling Machine Learning Adoption: A Pragmatic Approach
#70 Beyond the Language Wars: R & Python for the Modern Data Scientist
#69 Effective Data Storytelling: How to Turn Insights into Action
#68 The Future of Responsible AI
#67 Operationalizing Machine Learning with MLOps
#66 The Path to Building Data Cultures
#65 Preventing Fraud in eCommerce with Data Science
#64 Creating Trust in Data with Data Observabilty
#63 The Past and Present of Data Science
#62 From Predictions to Decisions
#61 Creating Smart Cities with Data Science
New DataFramed Episodes
#60 Data Privacy in the Age of COVID-19
#59 Data Science R&D at TD Ameritrade
#58 Critical Thinking in Data Science
#57 The Credibility Crisis in Data Science
#56 Data Science at AT&T Labs Research
Create your
podcast in
minutes
It is Free
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future
Lex Fridman Podcast
The Unbelivable Truth - Series 1 - 26 including specials and pilot