Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers

About this Webinar

This webinar focuses on improving your workflow with Anaconda Notebooks and Jupyter. Attendees will learn about the packages available in Anaconda and how to install additional ones. The session will also cover managing resource usage with CPU, memory, and disk quotas. Finally, we’ll discuss best practices for writing effective and reproducible notebooks, including tips for structuring notebooks, organizing code, and using version control. Whether you’re new to these tools or an experienced user, this webinar will provide valuable insights for improving your data science and development skills. Don’t miss out on this opportunity to optimize your workflow and share your results with others!

Meet Our Speaker

Albert DeFusco

Principal Product Manager, Anaconda

Albert specializes in scientific and high performance computing, teaches data science topics such as machine learning and big data processing, and focuses on improving tools for data scientists. Prior to joining Anaconda he completed a PhD in theoretical chemistry at the University of Pittsburgh, where he also served as a research professor in the Center for Simulation and Modeling, overseeing the administration and utilization of the high-performance computing cluster.