No that does not mean having pointless grade lists on your Readme, your projects should be the highlight.
Since you only have a few seconds to grab their attention, don't waste them on meaningless statistics like number of commits or LOC
Since interview season is coming up for 3rd year folks in college, I'll share a few tips to shine🌟above with your resume + profile and get more interviews -🧵
You better retweet tf out of this for other college kiddos or I'm done putting efforts in my tweets 🔫
No that does not mean having pointless grade lists on your Readme, your projects should be the highlight.
Since you only have a few seconds to grab their attention, don't waste them on meaningless statistics like number of commits or LOC
Plus showing that you know VCS is a good basic skill to flex on recruiters.
You might be tempted (or desperate) to put your college projects but they generally lack the complexity or the crucial components that make a project interesting.
Your aim should be to put together a bunch of technologies that work in harmony
So two things, complexity and how much did you learn other than tech. If it's creative, bonus points
Remember to ask yourself this, why should they care, is it worth reading about and if not, what do my projects lack?
Building a website is a cool creative project on its own but you can spit shine a template if you're in the "I'm beyond saving and need to pull up my game ASAP" period. This can act as a central
More from Society
1/ One year of destroyed economies, social isolation & deep social splits calls for an anniversary ⬇️thread ⬇️ to celebrate the RT-qPCR manuscript by Christian Drosten (@c_drosten) & Victor Corman (@vmcorman), submitted on 21st Jan 2020 to @Eurosurveillanc. #UnbiasedScience
2/ Before this very publication, virologists were neither treated like superstars, nor were they considered icons or half-gods. In 2009, Drosten almost succeeded in installing the false premise virology could supersede holistic medical sciences as discussed in this thread.
3/ Drosten is a virologist. He neither has any background in epidemiology, nor has he ever worked in the civil service. He also doesn’t have a background in public health. Yet he and his colleagues affect our daily lives to the level of whom to meet up or how to flush the toilet.
4/ Before January 2020, Drosten and Corman were common virologists at Charité Berlin, whenever they were not involved in economic implications (https://t.co/UTDwG8U7Du). Other than that, they looked at coronaviruses in dromedary calves in the Middle East or Africa. 😍 #cute
5/ Finally in Jan 2020, the published paper laid the theoretical grounds for the current pandemic, the RT-qPCR mass testing-religion, for which he was awarded his second German Federal Cross of Merit (he received the first one in 2005 for developing the SARS-CoV PCR test).
2/ Before this very publication, virologists were neither treated like superstars, nor were they considered icons or half-gods. In 2009, Drosten almost succeeded in installing the false premise virology could supersede holistic medical sciences as discussed in this thread.
3/ Drosten is a virologist. He neither has any background in epidemiology, nor has he ever worked in the civil service. He also doesn’t have a background in public health. Yet he and his colleagues affect our daily lives to the level of whom to meet up or how to flush the toilet.
4/ Before January 2020, Drosten and Corman were common virologists at Charité Berlin, whenever they were not involved in economic implications (https://t.co/UTDwG8U7Du). Other than that, they looked at coronaviruses in dromedary calves in the Middle East or Africa. 😍 #cute
5/ Finally in Jan 2020, the published paper laid the theoretical grounds for the current pandemic, the RT-qPCR mass testing-religion, for which he was awarded his second German Federal Cross of Merit (he received the first one in 2005 for developing the SARS-CoV PCR test).
I've seen many news articles cite that "the UK variant could be the dominant strain by March". This is emphasized by @CDCDirector.
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
