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Some BS I noticed that I’d like to call out…
As we’ve all seen there have been layoffs happening left and right. However, there’s a right way to handle the situation.
Lyft isn’t one of them. I was with the company earlier this year on a contract to hire role that was ended suddenly. Then, yesterday I saw on LinkedIn that most of the team was laid off (including team lead) YET I’ve had a recruiter reach out to me to apply to my same old position with the team but…
-continued in comments-
McKinsey & Company Any advice to help prepare for data science analyst role at top consulting firms (McKinsey & Company EY Boston Consulting Group etc)? Any materials, open source platform recommended to take on freelance data science project? When should I start actively looking and applying? I am a new grad who is working in tech as a marketing analyst I’m looking to pivot to marketing& sales data science consulting next year. Would like someone with similar backgrounds offer some practical tips.
When is a 3 page resume acceptable?
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Never enough. It should always be more, but sadly, there’s never time for that. But around 1hr per 8hrs of development. And that means creating the test cases, validation, and running them to assess if they cover the correct paths.
I “unit test” until I am satisfied that at least my interpretation of the spec is met.
Something I hate is to progress an item and the next level tester …. In integration or similar test level …. Quickly fails my code, or the code of my team.
It is worthwhile to spend the little extra time because each time something comes back the handover documentation and write up of the failure is wasted time. Investing in unit testing is worthwhile for overall productivity.
A lot. A lot. A lot. But I don't resent it at all. It has saved me so many times that I'll never be one to push for less code coverage. Having good test coverage is a force multiplier in productivity. Anyone advocating to the contrary hasn't learned this the hard way yet.