#501: Marimo - Reactive Notebooks for Python
Talk Python To Me
Merging Data Science with Software Engineering
This chapter explores the integration of data science and software engineering practices, focusing on the significance of reproducibility and rigor in machine learning. The discussion highlights the evolution of machine learning tools, including TensorFlow and PyTorch, and the impact of Jupyter Notebooks on accessibility in programming. Additionally, challenges in reproducibility and the introduction of Marimo notebooks as a solution are addressed, emphasizing the need for improved user experience and interoperability in data manipulation.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
