Are you an Angular developer?

Check these useful UI and Component libraries for Angular:

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Do you want to learn AWS (or an experienced AWS dev) ?

Here's a list of Github repositories you should check out:

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1. Serverless:

Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions &

2. Localstack:

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps

3. data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command

4. awesome-kubernetes:

A curated list for awesome kubernetes

Things I wish I knew 10 years ago:

- it's okay to be yourself
- exercise more often
- invest in relationships
- importance of eating healthy
- money isn't everything
- learn for pleasure
- take the time to be in nature
- put aside technology more often

Are you a Senior Developer & struggling to switch your job?

Here's a thread on how you should prepare before sending out job applications:

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First of all know that there's a lot of demand for good software developers.

It's hard for companies to hire good mid level developers. Some of the interviewers I've talked to recently have mentioned this!

So, if you're good, you can always get into a high paying job.

I have 6.5 years of experience mainly as a Backend Developer. Although I do work a bit of front-end tasks as well as part of my current job.

In this thread I'm going to talk about how I would prepare if I was going to apply for a job interview.

As a mid level developer having 4 - 8 years of experience, you will be expected to have certain skills to be hired by companies. Skills like:

- Problem Solving
- HLD
- LLD
- Mentoring / Code reviews
- Taking responsibility
- Leading end-end development & release of projects etc

Problem Solving:

Even though we mostly never write a lot of game changing Algorithms and use data structures, you're still expected to know the most common ones and how to use them to solve problems:

- Tree
- Linked List
- Heap
- Hash Map
- Array etc

What are the implications of using hacked data for research?

A short thread inspired by the fact that, before AWs took it down, #Parler was extensively hacked and user data was leaked.

The #Parler dataset seems crazy interesting for doing research, and my first reaction after the breach was to shre it with other #CompSocSci ppl.

However, I started having second thoughts, so what follows is to organize ideas and have it somewhere I can look back to.

2/n

Generally speaking, as far as the ethics of research goes a good advice would be to handle hacked data with caution.

First of all, there's an issue of quality. Data might be altered or incomplete, and the source cannot be considered accountable (assuming src is anonymous).

3/n

Secondly and more importantly, a researcher using the data would probably be violating users’ consent and acting against the data collector's will.

Finally, users’ privacy is at stake, since researchers could see material that users didn’t agree for other people to see.

4/n

Sharing private information without consent might put people at risk of harm.

This is all the more true in cases such as the #ParlerHack, where the leaked information is of particularly sensitive nature, and there’s a high risk of unintended consequences.

5/n

Another long thread. Bear with me till the end please. These are my views, and not necessarily of those associated with me. Though those associated with me have been incredibly supportive. I thank everyone who messaged me. I thank @databoydg for inspiring me to say this next. 1/n

First, @databoydg: I hope this makes justice to what you've tried to teach me. I'm sorry if I'm a slow student. In this second part of the story, I'm a privileged academic having a drink in Montreal after a #neurips conference with @sindero 2/n

Simon says to me: I feel we need to do something about this (stark lack of minority representation in ML). We agree we'll do something about it, but it feels like we're at the bottom of Everest and have to climb it without any gear 3/n

Time goes by and with the creation of the @turinginst I suggest in the first meeting that we should use it as a public platform to improve the numbers of Black people in UK universities. I encounter a lot of resistance (to be honest, it felt aggressive) and defensiveness 4/n

I was told that was an Oxford and Cambridge problem only by another academic. I felt silenced. Ironically, by both men and women. 5/n

Facebook -- having taken out full-page ads in the NYT, Washington Post, and WSJ -- is generally seen as the primary victim of the new app privacy controls coming in iOS14. But Google is perhaps even more vulnerable to ATT. Why has Google remained silent? (1/X)

2/ First, background: here's a high-level overview of how ATT / IDFA deprecation impacts advertisers and ad networks, and why this whole ordeal has put advertisers and ad networks into a state of panic:

3/ Google is equally as susceptible to harm from ATT as Facebook. Google's UAC product -- esp its tROAS and tCPA campaign objectives -- relies as much on IDFA-indexed monetization and engagement data as FB's mobile product does. But Google has one big weakness wrt ATT: YouTube

4/ Broadly, view-through attribution accounts for a disproportionate % of conversions from YouTube app install impressions. This means: user sees the YT ad, doesnt click, downloads app later, & Google is able to claim it by reconciling IDFA seen at impression to IDFA seen in app

5/ View-through attribution is nonexistent in the ATT paradigm as it relies on the IDFA; some significant portion of YT's attributed conversions will evaporate. So why isnt Google vocally opposing ATT? Two reasons: consumer optics and its duality as ad network / mobile platform

Let's be clear about what @Google, @Apple & @amazon instantly destroying #Parler's ability to be the free-speech version of Twitter is. At its core, this is about the ability to freely communicate one’s thoughts to others — once considered a hallmark of "The American Way." 1/13

What Big Tech is doing is as if Ma Bell in 1973 (ask grandpa) decided what you're saying to a friend on a landline phone was “dangerous." So they cut off the line in the middle of the talk and then sent someone over to physically cut your phone line. That's Stasi shit. 2/13

I realize that a personal conversation is not the same as a public tweet, but the principle is the same. The company that "owns the wires" for your speec — and has special govt rules protecting them due to their position — cuts off your call due to what you are saying. 3/13

If this analogy doesn't work for you, imagine someone tackling and punching you for speaking on a soap box in a public park and then setting your soap box on fire. And the govt being OK with that in a country that has a First Amendment. Moving on ... 4/13

Big Tech shadow banned people for years to just do it "halfway." That way, they could continue to paint an increasingly thin patina on their original govt-protected pledge to promote the free exchange of thought. #freespeech 5/13

THREAD: Now that @Amazon @awscloud has announced they will no longer host @parler_app, many have speculated that they will just “find another host.”

Here is why that’s not so simple and what it will likely mean for the app’s future. First, let’s look at where things are...

2/ Google and Apple have removed the app from their app stores, effectively terminating growth on mobile devices. People can still access the (not good) web UI until Amazon terminates them today. CEO Matze has said they may be down “up to a week” while they find new hosting.

3/ Translated to English, that’s code for “we have no idea what’s going to happen next.” No US cloud provider (Microsoft, Google, IBM, Digital Ocean) is likely to touch this, as it could be seen as providing material support for sedition. No CEO or counsel wants to get near this.

4/ They could potentially “roll their own” data center by buying servers and putting them in a co-location facility. But that’s a single point of failure, and many colo providers would be just as likely to decline their business. It would be hard and risky to pursue this.

5/ Imagine, after they sweated like pigs to get this hardware all setup, if they get told their colo provider is booting them. That’s a lot of metal to then move somewhere else. Meanwhile, the user base is deteriorating because chaos and dying apps. They will go to other venues.