In early 2015, Apple debuted their butterfly keyboard on their new “macbook”. Since then Apple has migrated this “feature” to their macbook pro line while several have voiced loud complaints about the shallow, fragile keyboard. Apple has since admitted that there’s a problem and offered to repair keyboards with sticky or unresponsive keys.
But turning your computer in for a repair is tedious and likely requires parting with your computer for a week or more. Also, perhaps you are like me and have already extensively repaired your unrepairable computer and violated the warranty in a number of ways. In these cases, it might make more sense to repair your keyboard on your own.
I’ve been using this dumb keyboard for 3.5 years now (what can I say, I love the romance of having the smallest possible computer that can do the things I need). I’ve cleaned these keys more times than I can count and I’ll document my process here. I know this process works for gen 1 and gen 2 of the butterfly keyboard and I’m guessing it works for the rest.
What you’ll need
- A metrocard or similar flimsy card.
- A q-tips/cloth/paper towel to clean out the keyhole.
Step 1: Remove the key cap and switch
Before you do anything, make sure you understand how the key cap and switch connect to each other. The key cap is what I’m calling the black piece with the key printed on int. The switch is what I’m calling the gray-white mechanism inside the keycap that flaps its wings like a butterfly.
There are four points that connect the key cap and switch: two clips on the top and two hooks on the bottom.
When removing the key cap from the keyboard, it is very important that you only lift from the top, where the clips are. The hooks should only be disconnected after the clips have. If you get this wrong, you can break the hooks on the bottom of the key cap or the pins on the bottom of the switch. Trust me, I’ve done this!
Now, first thing you’ll do is insert one of the corners of your key cap removal tool (metrocard) under the top of the key and pry it up. (video of this below) Sometimes you’ll get both the key cap and switch together, sometimes the key cap will come loose first. The switch is held in by four little pins on the inner rim and you can easily remove it with a fingernail or your key cap removal tool.
Step 2: Clean up your mess
Remove whatever it is you got under there. It can be really small! Take your time here. I’ve typically used a damp cloth to do this but I also have a high tolerance for risk so you do you.
Step 3: Replace the switch and key cap
For this step, a similar word of caution to step 1. It is very important that you don’t squish the hooks in the key cap onto the pins of the switch
- If you haven’t already, remove the switch from the key cap.
- Insert the switch itself (so, not the key cap) into the key hole. The side of the switch that should face the computer bulges out a bit, while the top should be relatively flat. You’ll press down on the switch until the pins click into the plastic brace.
- Start with the bottom of the key cap. Slide the hooks over the pins on the bottom of the switch and then lay the key cap on top of the switch.
- You should be able to gently press on the key and hear the top two clips engage.
I have a video of these steps below.
note 8/15: this is still a work in progress so check back as I fill it in
I’ve been a bootcamp instructor at Metis for about a year now1. It’s been an incredible, rewarding experience and I plan to stick around for a while. In that time, I’ve been asked a lot about bootcamps. People want to know how bootcamps work, if bootcamps are right for them, holy cow are they really $15,000? I’m putting this guide together to answer those questions.
This guide is for anyone interested in moving to a technical career, like coding, data science, or similar and are able to participate in an immersive (roughly 3 months of full time work) bootcamp. I especially intend this for people who aren’t already familiar with the tech/coding world and who don’t have ~$15,000 laying around to drop on a bootcamp.
- Bootcamps are for real. They can be a legitimately great way to start a good career that too few people have access to.
- First, make sure joining an bootcamp is right for you.
- Are you likely to finish and likely to be fully committed to the job search after finishing? Be very honest with yourself about this.
- A great way to figure this out is to complete a bootcamp prep program (many are free). Bootcamp prep is also a great way to figure out which type of bootcamp (like coding vs data science) is right for you.
- Don’t put too much pressure on getting in and plan to get rejected from your first bootcamp. Bootcamps can be selective and admissions necessarily involves chance. You’ll learn each time you interview. You might have a favorite bootcamp but there are many good ones. Most bootcamps allow you to interview again later if you are rejected.
- Don’t let cost be an issue.
- Any decent bootcamp will work with you on payment if you are admitted. They’ll walk you through alternative payment options.
- If cost is a problem, consider bootcamps with alternative payment options like deferred tuition (you aren’t required to make payments until you get a job) or income sharing (your payment is comes as a percentage of your salary once you get hired). Beware that there’s typically a lot of fine print for both of these.
- Bootcamp loans can also be a great option.
What is a bootcamp?
I’m going to talk specifically about immersive tech/coding bootcamps. Still, it’s a big category. Bootcamps are also called “accelerated learning programs”; they teach technical skills primarily to people who are new. Most bootcamps are roughly 12 weeks long and in that time they are intended to prepare someone to get their first job in an entirely new field.
Let’s stop here and just appreciate how tall of an order that is. If someone wants to prepare for an entirely new career, they might go to a 4 year college or get masters degree (2+ years with low graduation rates). These bootcamps try to accomplish the same thing in 3 months for a much, much lower cost.
That’s an extremely tall order, but for those who get into and complete bootcamps, it tends to work: Course Report found that in 2017 “80% of graduates surveyed say they’ve been employed in a job requiring the technical skills learned at bootcamp, with an average salary increase of 50.5% or $23,724. The average starting salary of a bootcamp grad is $70,698.” One reason this is possible is the immersive bootcamp model, where students are present, full-time,
I work for Metis and I’m super proud of what we do, but this guide isn’t an ad for my company. I’m honestly not going to mention Metis very often. But if you really want to know, I think that we’re the best in the business for people interested in Data Science and for whom our immersive bootcamp model and cost structure works. ↩
This is pretty short but I wanted to leave it here for posterity. The process is to just add the archive folder to Google Drive. You don’t have to move it to your Google Drive folder or hard link, as other tutorials have suggested, just add it to the list of extra folders synced by Google Drive.
First, find the folder iMessages uses to store all its data. Mine is in
/Users/soph/Library/Messages. If you aren’t able to see the Library folder, use
cmd-shift-.to make hidden items viewable.
Select the Google Backup and Sync icon in your menu bar at the top of your screen. Go to …->Preferences->Choose Folder and select that folder.
And, there, you’re done!
Author’s note: This is a pre-publication draft. Parts of this material may appear in subsequent publications. I’m sharing in this format to enable transparency and dialogue but I do not wish to misrepresent the relationship this draft may have with any later work.
There’s a lot of talk of diversity, especially discussion of the reasons companies and other groups should prioritize diversity.
Diversity for fairness
One important idea is a general sense of fairness. Careers that pay well should be distributed roughly proportionately among genders, ethnic groups, and other ways of categorizing people. We have the sense that there’s nothing about being male that makes someone a better programmer, or about being white that makes someone a better hedge fund manager. Then fairness suggests to many that, any unevenness in who gets access to these desirable careers reflects a lack of fairness. When a tech company primarily is located in a country where black people make up 12% of the population, but that company’s tech workers are only 1% black (as is true of Alphabet/Google, Amazon, and other tech companies) then something unfair is going on. Sure, there is some buck-passing here. There are problems at many levels that create unfairness: geographic segregation, school systems, gaps in generational wealth accumulation, gaps in laws. But the culture of many of these tech companies is one that famously fights (and wins!) against structural hurdles like these. If these companies can move fast and break things when it comes to new features and their bottom line, we should expect the same when it comes to fairness.
Diversity for social tech
There are other reasons companies prioritize diversity, like legal ones, that I won’t get into. Instead I want to focus on something I would like to hear more often and more clearly from the technology world. Independent of everything else, diversity will become essential to the success of any tech company. This is because the products made by tech companies are increasingly cultural ones, embedded in our everyday social lives, and producing social products that are successful requires engineers/designers/etc. who have a social understanding of those who use the products.
Let’s not forget when Google Maps pronounced Malcolm X Street “Malcolm the Tenth” as if he were a british monarch[Baratunde Thurston]; that Facebook’s name policy locks the accounts of trans and gender non-conforming users, including a Facebook employee[Zoe Cat]; when Google Images automatically labeled black people gorillas[Jacky AlcinÃ©]; the long history of racial and gender bias in face recognition[Joy Buolamwini: Gender Shades]; the many cases of technology ignoring dark skin [like soap dispensers and heart rate monitors]. These are just a few examples but they illustrate the point that we are interacting with our technology in social ways. Each of the above examples would have been trivial to catch for an engineer, project manager, or other employee from an underrepresented group.
What I’m arguing here is that it’s in tech company’s self-interest to seriously prioritize diversity. Even a company that is unconvinced that diversity is important because of fairness or legal reasons should be concerned about how they plan to design products that people interact with in social contexts. These companies will want to ensure that their tech workforce is diverse at every levelâfrom the people writing the code to those deciding which new features to develop and beyondâbecause each of these decisions will become more significantly social as time goes on.
Diversity to stop algorithmic violence
One specific concern involves the idea of algorithmic violence[Mimi Onuoha], a term coined by Mimi Onuoha that refers to the ways that automated decision-making does real harm to people. In college I studied Computer Engineering and took an ethics course along with civil and mechanical engineers where we discussed the ethical challenges involved in designing walkways and other physical things. What was missing then, and seems to largely be missing now, is a serious look at how decisions made in technology companies, including by software developers and data scientists, lead to real consequences.
Some algorithmic violence is quite easy to see, such as when Palantir (one of the most valuable data companies and one that was recently sued for racial discrimination[Vanity Fair]) builds an enormous data machine for the targeting and tracking of immigrants for deportation[The Intercept]. In most cases, though, algorithmic violence is less than obvious. Guillaume Chaslot writes[Medium] that YouTube’s massive recommendation engine, one that he helped design, is tasked with maximizing users’ viewing time. The recommendation engine does this in a single-minded way that ignores the effects that the kind of content one cannot turn away from (like disturbing videos targeted at kids[Medium] and conspiracy theories[Vanity Fair]) might have on its viewers and even elections[Chaslot @ Medium]. In ‘Automating Inequality’[Strand] Virginia Eubanks provides an extensive catalogue of ways that seemingly âobjective’ automated systems harm vulnerable people, whether they were set up to do so intentionally or not.
Algorithmic violence is a problem, like information security and global warming, that is virtually guaranteed to become more important with time. Because the effects of algorithmic violence are often hidden except to those who are affected by it, companies without a diverse workforce will be at a disadvantage when trying to recognize and prevent such violence. So prioritizing diversity is one of the many steps, like a Hippocratic oath for technology[Marie], we need to take to counter algorithmic violence.
- Weapons of Math Destruction by Cathy O’Neil - [Strand link to purchase] (http://www.strandbooks.com/political-science/weapons-of-math-destruction-how-big-data-increases-inequality-and-threatens-democracy-0553418831/)
- Automating Inequality by Virginia Eubanks - [Strand link to purchase] (http://www.strandbooks.com/sociology/automating-inequality-how-high-tech-tools-profile-police-and-punish-the-poor/)
- On Algorithmic Violence by Mimi Onuoha - [github link] (https://github.com/MimiOnuoha/On-Algorithmic-Violence)
- Gender Shades, research project led by Joy Buolamwini - 2018 paper by Buolamwini and Gebru
(hi, this is a test)
This is a scratch pad for me to use when I set up new virtual machines. I’m sharing it in case anyone else is interested.
fish is by far my favorite shell
Install it and configure it following this tutorial
omfis a handy package manager for fish. You can install themes with it and my fav is probably
If you’re using anaconda, you’ll have to remember to use
I love tmux! I p much always install it first thing. To make it more useful, I add options by creating the following file at
set-option -g mouse on set-option -g default-command /usr/bin/fish
Access Jupyter from your server
I typically set up a jupyter server mostly according to Chris Albon’s instructions here.
Start Jupyter on restart
Previously, my workflow was something like this: go to console in browser and start ec2, go to terminal and mosh into ec2, start jupyter notebook, go back to browser and use jupyter. That’s an annoying amount of steps. I like to simplify this so that on every device restart, my machine automagically starts a jupyter notebook server and glances (which I use to monitor the machine’s resource usage).
Here’s the solution I found, which is a modification of this. Modify your
/etc/rc.localto include the following above the
export PATH="$PATH:/home/ubuntu/miniconda3/bin" nohup jupyter notebook --notebook-dir=/home/ubuntu/ & nohup glances -w & exit 0