SkillsPython, Machine Learning, Data Science, NLP
Joined devRant on 8/16/2019
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I've been sitting on a Google Foobar Challenge invite for more than a week because I'm afraid of what it might mean if I fail 😟2
Just casually learning if I don't fix a bunch of stuff I know nothing about in a technology I have never touched within 2 weeks the company loses a 100k contract.
Should book holiday.5
Hackathon sponsored by Microsoft and there you are with your dumb team implementing features with Amazon Web service...
I wish you good luck. 👍1
2010: haha yeah I use StackOverflow too
2011: SO, amirite?
2012: omg SO servers are down
2013: am engineer and I use SO to remember how to eat and breathe
2014: guys, what if SO was down. CODEPOCALYPSE!
2015: I use SO and have imposter syndrome
2016: omg, git checkout this SO meme on /r/programmerhumor
2017: I'd rather skin my mother alive than have SO dowb
2018: Stack fucking Overflow... like.. what if... you... can't... use it... in an interview...
2019: check my twitter @paresh, tons of SO references with barely intelligible english
just fucking drop dead, pieces of shit...6
Just changed my wallpaper to be the Tensorflow logo and added 'background in data science' to my CV.2
This is more just a note for younger and less experienced devs out there...
I've been doing this for around 25 years professionally, and about 15 years more generally beyond that. I've seen a lot and done a lot, many things most developers never will: built my own OS (nothing especially amazing, but still), created my own language and compiler for it, created multiple web frameworks and UI toolkits from scratch before those things were common like they are today. I've had eleven technical books published, along with some articles. I've done interviews and speaking engagements at various user groups, meetups and conferences. I've taught classes on programming. On the job, I'm the guy that others often come to when they have a difficult problem they are having trouble solving because I seem to them to usually have the answer, or at least a gut feel that gets them on the right track. To be blunt, I've probably forgotten more about CS than a lot of devs will ever know and it's all just a natural consequence of doing this for so long.
I don't say any of this to try and impress anyone, I really don't... I say it only so that there's some weight behind what I say next:
Almost every day I feel like I'm not good enough. Sometimes, I face a challenge that feels like it might be the one that finally breaks me. I often feel like I don't have a clue what to do next. My head bangs against the wall as much as anyone and I do my fair share of yelling and screaming out of frustration. I beat myself up for every little mistake, and I make plenty.
Imposter syndrome is very real and it never truly goes away no matter what successes you've had and you have to fight the urge to feel shame when things aren't going well because you're not alone in those feelings and they can destroy even the best of us. I suppose the Torvald's and Carmack's of the world possibly don't experience it, but us mere mortals do and we probably always will - at least, I'm still waiting for it to go away!
Remember that what we do is intrinsically hard. What we do is something not everyone can do, contrary to all the "anyone can code" things people do. In some ways, it's unnatural even! Therefore, we shouldn't expect to not face tough days, and being human, the stress of those days gets to us all and causes us to doubt ourselves in a very insidious way.
But, it's okay. You're not alone. Hang in there and go easy on yourself! You'll only ever truly fail if you give up.32
Facebook: "Our facial recognition automatically tags people in pictures."
Tesla: "Our deep learning algorithm drives cars by itself."
Andrew Ng: "I predict patients' likelihood of dying with 99% accuracy."
Google: "You know one of our algorithms is going to pass the Turing test very soon."
Wall Street: "We use satellite images to predict stock prices based how filled car parks of specific stores are."
The remaining majority of data sciencists: "We overfit linear models."2