The power of spoken word in healthcare, the space economy, Women in the Workplace, and more big reads for the weekend

Harmony Internal - McKinsey

Catch up on the week’s big reads ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌   ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌   ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌   ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌   ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌   ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌   ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌   ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌   ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ 

Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities

The weekend is here and it’s time to catch up on the week’s essential reads on the power of spoken-word performance in healthcare, how good governance can help the space economy, the latest Tech for Execs, and more.

TECH FOR EXECS

Illustration of cuboids from a three-dimensional cube are spread around it

Welcome to Tech for Execs: quick primers on key technology concepts to get leaders up to speed.

Why do people choose Python? It’s a go-to language for back-end development, software, data science, and machine learning. It’s easy to learn, and integrates well with other languages—so it can find its place within pre-existing architectures without too much trouble.

What are the biggest benefits? Python is great for creating automated processes, which saves huge amounts of time. Its sheer popularity means there are thousands of existing packages—ready-to-use ‘chunks’ of code—out there. And it’s easy to read and debug, so if something goes wrong, it’s simple to fix.

How are organizations using Python? It’s particularly popular for data science applications. At McKinsey, we used Python in our work with a healthcare client to help improve COVID-19 capacity modelling. Because when you’re dealing with complex data lakes and working at speed, simplicity is a virtue.

Do my developers know Python? There’s a good chance they do—it’s one of the most popular languages out there. Even if they don’t, experienced developers can normally pick the language up quickly.

If we start using Python, does that mean starting over? Not necessarily—Python plays well with other languages. Plus, there’s no shortage of packages and frameworks out there to accelerate your work. One example is our open-source Kedro framework, which simplifies and standardizes data science coding.

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by "McKinsey Daily Read" <publishing@email.mckinsey.com> - 06:50 - 24 Feb 2023