Thu.Dec 08, 2022

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A Return to the Office (RTO) Wave?

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. To get this newsletter every week, subscribe here. On Thursday, 29 November, Snap CEO Evan Spiegel, sent an email announcing Snap will mandate 4 days/week in the office, starting from January.

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3 Free Machine Learning Courses for Beginners

KDnuggets

Begin your machine learning career with free courses by Georgia Tech, Stanford, and Fast AI.

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Apache Hop 2.2.0 is available!

know.bi

Apache Hop continues to evolve quickly. After the 2.1.0 release , less than two months ago and over 160+ tickets later, Apache Hop 2.2.0 is available.

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The 5 Rules For Good Data Science Project Documentation

KDnuggets

Once data scientist finishes building the project, they will need to do the task that most of us hate that is documenting the code.

Project 112
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Hermes: Ripple's Notification Service

Ripple Engineering

Enhancing an application to send email is a relatively trivial matter—it can take an engineer as little as five minutes to modify an application to connect to an email server and specify a message to send. With a little bit more work, templates can be added to support sending emails with different content to distinct groups of people, as well as inserting images and attachments.

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Five Ways to do Conditional Filtering in Pandas

KDnuggets

Learn five ways to perform conditional filtering with Pandas to help slice and dice your data.

Data 108