From Learn Kubernetes in a Month of Lunches by Elton Stoneman
This article delves into getting started running pods with controllers in Kubernetes.
From Practices of the Python Pro by Dane Hillard
This article covers
• Recognizing the signs of tightly coupled code
• Strategies for reducing coupling
From Build a Career in Data Science by Emily Robinson and Jacqueline Nolis
Want a job in Data Science?
This article discusses one popular way to get the skills that you’re going to need: attending a bootcamp.
From Designing Cloud Data Platforms by Danil Zburivsky and Lynda Partner
In this article, we’ll layer some of the critical and more advanced functionality needed for most data platforms today. Without this added layer of sophistication your data platform would work but it wouldn’t scale easily, nor would it meet the growing data velocity challenges. It would also be limited in terms of the types of data consumers (people and systems who consume the data from the platform) it supports, as they’re also growing in both numbers and variety.
Exploring Great Software Design is a free eBook with chapters selected by Marco Faella.
From Ensemble Methods for Machine Learning by Gautam Kunapuli
Our first case study explores a medical decision-making task: breast cancer diagnosis. We will see how to use scikit-learn’s homogeneous parallel ensemble modules in practice. Specifically, we will train and evaluate the performance of three homogeneous parallel algorithms, each characterized by increasing randomness: bagging with decision trees, random forests and ExtraTrees.
From R in Action, Third Edition by Robert Kabacoff
This article dicusses graphs and graphic using the ggplot2 package
manning.com NodeJS in Action, 2nd Edition Don’t miss out! Offer ends October 12, 2020. Only available to new email subscribers. $39.99 FREE! Get your free eBook! “The definitive guide” – William E. WheelerNode.js in Action, Second Edition starts at square… Continue Reading →