Take your skills to the next level. We've put together a series of monthly webinars to help you broaden your tool kit and hone your data science skills. Join Anaconda's in-house experts in these 30-minute sessions that dive into the various tools and techniques that can help you do your job more effectively.
Getting Started with GPUs in Python
August 26, 2020 | 2pm EDT/11am PDT
Presented by: Stan Siebert, Sr Director of Community Innovation
GPU computing has become extremely popular for deep learning in the past 5 years, but did you know that you could do much more with a GPU? In this webinar, we will learn what use cases are ideal for GPU acceleration, and see how to get started with GPU computing in Python. We'll survey a number of useful Python libraries, such as TensorFlow, PyTorch, CuPy, RAPIDS, and Numba, and talk about some general best practices for GPU computing in Python.
Performance Tips for pandas
September 30, 2020 | 2pm EDT/11am PDT
Presented by: Tom Augspurger, Software Engineer
pandas is an extremely high-performance library for tabular data analysis... if you use it properly. Don’t get tripped up by common mistakes that lead to poor performance. Learn how to do more, in less time, with pandas than ever before.
Working with Data in the Cloud
October 28, 2020 | 2pm EDT/11am PDT
Presented by: Martin Durant, Software Engineer
Data is everywhere, and data is bigger than it used to be. It is no longer practical to download all you need to do your job to your local machine and run your analysis there - download times are too long, and the data don’t fit in memory. Learn how to work with data in the cloud, including how to use the open-source tools fsspec, parquet, zarr and Intake.