Summary
The conda package manager is used by many people in the multidisciplinary scientific computing community and has recently seen continuous growth, largely because of the many new packages available through Anaconda’s conda channels and community projects such as conda-forge. But how can the conda code base evolve to cater to this growing ecosystem while ensuring backward compatibility and stability for all its users?
In this webinar, we’ll introduce one of conda’s upcoming experiments: a new solver backend based on the community project “libmamba,” which was added to improve speed and accuracy and handle increasingly complex conda environments.
About Anaconda:
With more than 25 million users, Anaconda is the world’s most popular data science platform and the foundation of modern machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible.
Speakers
Jannis Leidel
Sr. Software Engineer
Anaconda
Jannis is a Sr. Software Engineer on the conda team at Anaconda and previously co-founded the Python Packaging Authority, the volunteer group that has maintained fundamental package management software for the Python programming language for over a decade. He currently serves on the board of directors of the Python Software Foundation and believes that fostering the conda project is essential to help the growing community of data practitioners.
Jaime Rodríguez-Guerra
Software Engineer
Quansight
Jaime holds a PhD in Biotechnology and believes that packaging is one of the pillars for reproducible research. He became a conda enthusiast while working on molecular modeling frameworks and machine learning pipelines for drug design.the Center for Simulation and Modeling at the University of Pittsburgh.