This week on the podcast, we’re happy to bring you PyDataSci, a series of shows highlighting a few of the great innovators and innovations that are happening at the intersection of three very important and familiar topics: Data Science, the Python programming language, and Open Source Software.
While you’re here, take a moment to complete our listener survey! We want to better understand your views on the importance of open source and the projects and players in this space. To access the survey visit here.
Thanks to our Sponsor!
I’d like to send a huge thanks to our sponsor for this series, IBM. IBM has a long history of engaging in and supporting open source projects that are important to enterprise data science — projects like Hadoop, Spark, Jupyter, Kubernetes, and Kubeflow.
IBM also hosts the IBM Data Science Community, which is a place for enterprise data scientists looking to learn, share, and engage with their peers and industry renowned practitioners. There you’ll find informative tutorials and case studies, Q&As with leaders in the field, and a lively forum covering a variety of topics of interest to beginning and experienced data scientists.
Visit the IBM Data Science Community at ibm.com/community/datascience.
TWIML Presents: PyDataSci
TWIML Talk #261Scaling Jupyter Notebooks Luciano Resende, IBM
TWIML Talk #262Practical Natural Language Processing with spaCy and Prodigy Ines Montani, Prodigy
TWIML Talk #263Librosa: Audio and Music Processing in Python Brian McFee, NYU
TWIML Talk #264Diagnostic Visualization for Machine Learning with YellowBrick Rebecca Bilbro, ICX Media