Issue #209

6 October 2020


Issue #209
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Are We Clear?
- Paulo AndrĂ©
#Leadership #Management
 
tl;dr: As a company grows and "we don't give up control at the top," we sacrifice two things: (1) quality, as decisions are made further away from the truth. (2) Speed, as decisions are blocked by what's happening elsewhere. Creating clarity is essential to scaling an org.
 
#Productivity
 
tl;dr: With overwhelming amounts of languages, frameworks and tools to learn, decisions about where to invest your time to learn can be challenging. Sally has outlined key questions and a framework to help guide this decision.
#Leadership #Management
 
tl;dr: A Q&A with Tanya, Principal Engineer at Squarespace outlining her role, types of challenges she enjoys, favorite qualities in an engineer, and more. 
#IndustryTrend
 
tl;dr: Ramkumar visualizes the evolution of programming languages and categorizes each into one of the following -  a root language, one unlikely to to influence the future, a dying language, a "toy", a candidate for the future, or a mature one. 
#Productivity #CareerAdvice
 
tl;dr: There are several reasons this could be true but, to finish a project, you need to be a "mad hatter." You need a broad skillset i.e. systems architect, db admin, backend developer, essentially all the roles in a team. 

"Don't comment bad code - rewrite it."

- Brian Kernighan

 
#UUID
 
tl;dr: A look at the background and implementation of various versions of UUIDs, understanding "why UUIDs are practically unique, though an incredibly small potential for duplication exists."
#TensorFlow
 
tl;dr: Emily uses TensorFlow.js, deep learning, and image processing techniques to animate the Mona Lisa. 
#Python
 
tl;dr: Proper time zone support, updating dictionaries effectively, using decorators based on expressions, combining type hints and other annotations.
#Chrome
 
tl;dr: "Here are a few hidden or lesser known features of Chrome DevTools which you should know about."
#GitHub
 
tl;dr: "A developer-first, GitHub-native approach to easily find security vulnerabilities before they reach production."
 
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