In this video from the 2012 PyData Workshop, Travis Oliphant from Continuum Analytics kicks off PyData with a talk on Python in Big Data. Topics addressed include what Python has to offer the world of Big Data, specific use-cases, as well asking why Hadoop is considered the de-facto standard. Additionally, Oliphant gives an overview of NumPy and SciPy.
[SPONSORED POST] Organizations can now confidently embrace Elastic, enhance their hot tier storage, and seamlessly manage historical data with cost-efficient capacity-optimized storage. Pure Storage not only meets the demands of the modern data landscape but also empowers organizations to simplify their Elastic architecture, reflecting the industry trend towards a more streamlined and efficient approach.
In today’s fast-paced world, driven by demands for speed and efficiency, the field of clinical development has undergone a remarkable transformation. The way trials are being conducted has changed significantly with decentralized clinical trials (DCT) becoming mainstream and the collection of clinical data from wearables and other remote-monitoring devices becoming common practice. While these advances […]
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