Ondřej Čertík will demonstrate the optimization performance of the LPython compiler through benchmarks against Numba/C++, delve into its internal workings, show a live demo of LPython in use, and discuss future plans for the project.
Welcome to the AI Insights Podcast, your gateway to the dynamic world of Artificial Intelligence (AI) and Machine Learning (ML), powered by open source technologies.…
Listen in as Travis Oliphant describes knowledge gained from his ongoing journey to identify systems and business models that sustainably support open source innovation.
🎙️ The Engineering Manager Podcast is thrilled to announce a captivating interview featuring a distinguished guest who has left an indelible mark on the tech…
Merav Yuravlivker (CEO of Data Society), Eli Chen (CTO of Credo AI), and Travis Oliphant (CEO of OpenTeams) discuss the challenges and opportunities of this historic era of transition toward a transformative integration of generative AI and human society.
Listen in as Chase Million, CEO of Million Concepts, discusses how to identify application-specific data requirements and implement robust solutions to address them.
Roman Yurchak, Pyiodide maintainer and ML engineer at Symerio, will delve into tools enabling client-side data processing and describe some implications for data privacy from shifting these functions to the client side.
Paddy Mullen takes us on a tour of Buckaroo, an enhanced Jupyter-based interface to pandas dataframes for streamlined & augmented exploratory data analysis.
Listen in as Casey Dai offers context and advice for developers confronting the complex, challenging transition from an individual contributor role to a management position.
Join us for an enlightening podcast episode as we delve into the world of accelerated development training with the renowned Python trainer, Reuven Lerner. Reuven…
In this episode of The Engineering Manager podcast, we are joined by Jing Xie, Sr. Director of Cloud Go To Market and Partnerships. Jing has…
In this roundtable, Andriy Mulyar, Ben Schmidt, Laurens van der Maaten, and Leland McInnes will discuss embeddings and vectors, and the challenges involved with storing, searching, and visualizing vector datasets.
