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Interview: How do we read literature in the digital age?

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Interview: How do we read literature in the digital age?

In the past decades computers have radically changed society. The digital revolution has had a powerful effect on lots of fields, including communication, economics, art and science. The impact of digital technology is visible almost everywhere in our lives: shaping social behaviour and mentality but also practical skills like cooking, driving and reading.

In recent years, the study of literature has undergone significant changes in response to the digital revolution. The shift towards digital forms of reading and computer-based forms of literary analysis opened up new and exciting questions for literary scholars all over the world – including Philipp Schweighauser, lead educator in the upcoming course Literature in the Digital Age: From Close Reading to Distant Reading. I asked him about his own reading habits, the relation between digital media and literature and the future of reading and writing.

Gaudenz Metzger (GM): Professor Schweighauser, can you tell us about your personal reading strategies? Do you prefer analogue books or digital devices or a mix of both?

Philipp Schweighauser (PS): For the greatest part, I still read my novels, short stories, poems, and plays in print. So for poetry and fiction, it’s mostly print. The reverse is true for scholarship, which I read in electronic form whenever available. What I appreciate most about e-texts is their ready availability, their ‘searchability’ and the ease with which I can excerpt quotes for my own scholarship. I’m greatly interested in how the learners in Literature in the Digital Age read literary and other texts, and we’ll have a discussion about this in the first week.

GM: It’s often said young people prefer reading electronically. But print hasn’t disappeared. Why does the analogue continue side by side with the digital in the 21st century?

PS: There is a sensual quality to print books that e-books lack. Whenever we hold a book in our hands, we feel its size, its weight, and the quality of paper that is used. Thus, for many readers out there, it still makes a great difference whether they read a paperback or a hardback, a print-on-demand book or a collector’s edition. Books also have a powerful visual quality to them; think of the cover design, think of the title page, think of the typeface that is used. And yes, every book has an individual smell. In the final week of the course, we’ll delve deeply into the question of the sensuality and materiality of books. There are also scientific studies which suggest that we can remember texts we have read in print better that texts read on digital devices. For literary scholars, printed literary texts also remain crucial because the authoritative/scholarly editions that we quote often aren’t available in digital and/or quotable form.

photo of someone reading

GM: How has our increasing use of e-book readers and tablets changed the way we read literature?

PS: On the most pragmatic level, digital reading devices enhance mobility and save space. With an e-book reader, you can bring thousands of books along for your vacation. If you’ve gone fully digital, you don’t need book shelves anymore. With many an e-book reader, you can also instantly look up words you do not understand or find out more about the history of characters and the places they live in. And if it’s your sort of thing, you can also find out which passages in the book you’re reading other readers have found most interesting. More ominously, some brands allow you to monitor and reward the reading progress of your children. As this example shows, the promises of new technologies can easily transform into pitfalls–the great Canadian media theorist Marshall McLuhan, something of a patron saint for week 6 of Literature in the Digital Age–speaks of ‘reversal’ in this context, the point at which the promises of new technologies revert into their opposites. Think of how email promises to facilitate communication, but think also of the dread you feel when you open your inbox after a vacation–if you managed to stay away from it at all during what is supposed to be your time off. Less dramatically, the additional features of new reading technologies can also distract us, yanking us out of what many of us enjoy most about reading literature: losing ourselves in different, fictional worlds.

photo of someone using an ereader

GM: Media (books, tablets, smart phones etc.) are not just tools that help us read and communicate; they also open new perspectives and produce knowledge. Are there new and surprising ways of seeing that come from using digital media in literary studies?

PS: In recent decades, what is called ‘digital humanities’ has gained increasing prominence in research and teaching institutions all over the world. The term means different things to different people, but basically, the idea is that we need to find new ways of harnessing the potential of digital tools and databases in the study of culture. This ranges from large-scale digitizations of archives to developing online courses such as Literature in the Digital Age. Within literary scholarship, the Italian literary scholar Franco Moretti has been promoting what he calls ‘distant reading’ since around the turn of the millennium. Distant reading is a literary-critical method developed in direct opposition to the time-honoured practice of close reading. Instead of analyzing, as close readers do, individual literary texts with the utmost precision, distant readers mine huge databases containing thousands of literary texts to discover large-scale developments in literary history and patterns that transcend national boundaries. In Literature in the Digital Age, we’ll explore both more traditional forms of literary scholarship that remain crucial such as close reading and historical contextualization and more recent reading strategies developed in response to the digital revolution: hyper reading, social reading, surface reading and distant reading.

GM: So far we’ve talked about reading strategies but if you think about things like emojis, the computer is also modifying the way we write. Do you think human language and expression will undergo a fundamental change in the next centuries?

PS: This wouldn’t be surprising since technological inventions have radically impacted human language and expression throughout the history of humankind. Think of the invention of the phonetic alphabet in the 2nd millennium BCE, think of the invention of the printing press in the mid-15th century, think of the invention of the telephone, the typewriter and the tape machine in the late 19th and early 20th centuries. All of these technologies have fundamentally changed the way humans lived their lives, communicated, and perceived their world. For instance, if we follow Marshall McLuhan, the invention of the printing press created a whole new world in which print was the dominant medium and sight the dominant sense. McLuhan called it the Gutenberg Galaxy and already in the 1960s announced that it was in demise. He believed that humankind had entered a new phase by then: the electric age, a culture of all-at-onceness in which everyone is connected to everyone else and the world had become what McLuhan calls a ‘global village.’ This should ring familiar to anyone living in the digital age, but Intel’s invention of the microprocessor in 1971, the emergence of the Internet and of social networks, and, most recently, the rise to prominence of machine learning have certainly introduced further radical changes, among them the virtual disappearance of letter writing, the blurring of the boundaries between speech and writing and the emergence of new forms of writing such as texting and twitter. The social and psychological effects of these new media and new cultural forms will continue to be felt for decades to come, but I’m a literary scholar rather than a prophet or futurologist, so I’ll abstain from predictions.

GM: In the future computers may dream and write world literature. Is this a possible scenario for you?

PS: Again, I’m wary about that whole business of prophecy, but this seems a rather unlikely scenario to me. Sure, with the help of machine learning, computers will become ever more adapted at emulating neuronal processes and producing texts that pass the Turing test, but culture–the world of signs and meanings–will remain a predominantly human sphere. Even if computers do one day dream and write halfway decent literary texts, who will analyze those dreams and who will enjoy those texts? Computers?

Learn more about these and other topics. Join Literature in the Digital Age: from Close Reading to Distant Reading.

5 places to explore with courses in March

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5 places to explore with courses in March

In this post discover the new places and times you could explore with courses in March.

This March why not take a trip? All you need is a computer, tablet or mobile and FutureLearn. We’ve got courses to take you on all sorts of journeys, from Ancient Rome to the 1600s, all the way to the island of Flores (with its unusual inhabitants), plus a few other special destinations:

Go underground at the Vale of Pewsey

What does an archaeological dig actually look like? Now’s your chance to find out. Join the team from the University of Reading on their course Archaeology: from Dig to Lab and Beyond and follow a month-long excavation at the Vale of Pewse – ‘an archaeological treasure chest’.

Take me to the dig


Go meet the ancestors in Flores

In 2003, in a cave on the Indonesian island of Flores, a team of archaeologists were surprised to find the skeletal remains of a mysterious new human species. Discover more about what they found with the course Homo Floresiensis Uncovered: The Science of ‘the Hobbit’ – and learn how ‘the Hobbit’ has caused huge controversy.

I want to meet the hobbit


Go and experience the Cold War at RAF Museums

Discover how the Cold War progressed, and how the RAF played a key role in decolonisation, with the course From World War to White Heat: the RAF in the Cold War – all filmed in site at RAF Museums in Hendon and Cosford.

Show me the Cold War


Go and explore Ancient Rome

Do all roads really lead to Rome? Find out, and get a taste of Ancient Roman life, by exploring an incredible, award-winning, 3D digital model of this important city on the course Rome: a Virtual Tour of the Ancient City.

Let’s go to Ancient Rome


Go and find Shakespeare in Stratford-upon-Avon

Get new insights into one of the world’s most famous writers thanks to an exciting collaboration between the University of Warwick and the Shakespeare Birthplace Trust on the course Shakespeare and his World. Catch a glimpse of new artefacts and explore the house the bard was born in.

Anon! Get me to Stratford!


Want to explore something or somewhere else this month?
Check out our full list of courses.

How to provide effective feedback in clinical supervision

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How to provide effective feedback in clinical supervision

Ahead of the course from UEA, Clinical Supervision with Confidence, the team behind the course take a look at exactly what makes feedback unhelpful or effective when it comes to clinical supervision.

The Scenario

You have a new trainee in your clinical department or service. You’ve heard from others that this trainee seems quite slow in performing clinical tasks. This has led to their peers and other colleagues having to pick up and help with tasks to complete them in time.

effective-clinical-supervision-1-futurelearn

An example of unhelpful feedback

The supervisor encounters an example of the trainee’s slow progress one day and remarks loudly to the trainee that they should really hurry up and finish their tasks so that other colleagues don’t have to end up covering for them. The trainee is startled and seeing that patients and staff have stopped what they were doing when they heard the supervisor shout, turns and walks out of the ward in embarrassment.

Why is this unhelpful?

This type of feedback is unhelpful because although it is timely (immediate), the trainee is taken by surprise and the comment was made loudly, in an inappropriate setting (where patients and staff were present and could hear). The trainee might have felt that they were doing their best to complete their tasks properly. As they lacked self-confidence, they might have tended to go over things again and again, as they were worried that they might miss something. None of the trainee’s colleagues had previously mentioned that they felt unduly burdened so the trainee had assumed that others were happy to help out a newbie. The trainee becomes embarrassed to go back to the ward to complete their remaining tasks.

effective-clinical-supervision-2-futurelearn

An example of effective feedback

The supervisor encounters an example of the trainee’s slow progress one day, and during a quiet, private moment, asks the trainee how they feel they are getting on in the new placement. The trainee tells them that they think they are doing fine as they are doing their best to complete everything properly, even going over things again and again to make sure they had not missed anything. The supervisor then asks them whether going over things repeatedly had been helpful and the trainee looking relieved says that they hadn’t missed anything so far. They also ask the trainee if they felt they were managing to keep up to speed with tasks or whether there were times when the tasks built up and other colleagues had to get involved and help. The trainee says that as nobody had said anything about it they had assumed that others were happy to help out the newbie.

The supervisor and the trainee discuss a few of the tasks carried out that day with the supervisor reassuring the trainee that they had followed the correct procedure each time and that perhaps there was no need for them to keep going over things repeatedly. The supervisor then asks the trainee if they could think of anything that might help them stop worrying so much. The trainee can’t immediately think of anything so the supervisor suggests that they could ask them or a more senior trainee for advice on anything they found difficult so that the trainee could finish tasks in a timely manner, saying that it was ‘normal’ to feel worried while they were new to the placement.

Why is this effective?

We would say this is effective feedback because it was timely and done sensitively, asking the trainee to reflect on their performance first, and reassuring them to improve their self-confidence. Finally, the supervisor also supported the trainee in identifying solutions themselves, making suggestions where appropriate, to help the trainee feel safe; this included offering to support and advise on tricky issues.

effective-clinical-supervision-3-futurelearn

To find out more about clinical supervision, and to improve your confidence supervising others – join Clinical Supervision with Confidence today.

Introducing upgrading on FutureLearn courses

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Introducing upgrading on FutureLearn courses

From today, we’re making some changes to the way FutureLearn courses work. Now you’ll be able to upgrade your courses, giving you a set of benefits, instead of only being able to buy a Certificate when you finish a course.

You can now upgrade your courses

On FutureLearn courses starting from 6 March 2017, you will have the option to upgrade a course

When you upgrade you get:

Upgrading usually costs between £24-£69, depending on the course (the same price as the certificates you could buy before). If you choose not to upgrade, you can still access the majority of the course for free, for the duration of the course plus two weeks – regardless of when you join. We still want to be sure everyone can benefit from high-quality education from leading organisations and universities.

Here’s a side-by-side comparison:

FreeUpgraded
✓ Access to the course for its length + 14 days, regardless of when you join (this includes access to articles, videos, peer review steps, quizzes)✓ Unlimited access to the course, for as long as it exists on FutureLearn (this includes access to articles, videos, peer review steps, quizzes)
x No access to course tests✓ Access to course tests
x No certificate✓ A Certificate of Achievement when you complete the course

Useful things to know

You can upgrade a course at any time – before, during or after the course to get the benefits mentioned above. For example if you decide to upgrade your course after it ends, and want a certificate – you’ll be able to go back and do any tests to make sure you qualify for one.

Upgrading won’t affect courses that started before 6 March 2017 – you’ll still have access to previous courses you’ve joined and/or completed.


Why are we introducing upgrading?

We want to give as many people as we can the benefits of great learning. That’s what drives us, and why FutureLearn was created.

But producing high-quality courses and maintaining FutureLearn costs a lot and requires a lot of work from us and our partners. The UK’s Open University made an initial investment to get us up and running, but we’re a business and we need to be financially sustainable to be able to keep making education available to as many people as possible.

Our business model relies on a small number of people purchasing something that they value in order to keep the courses free for everyone to access.

But research we carried out showed that a certificate on its own doesn’t offer enough value for money and that some people don’t want or need a certificate. That’s why we want to create a more useful package of features that we think provides great value to as many people as possible.

These new features should offer you, our learners, a better set of benefits – and ensure we’re able to keep offering free learning to millions of people.

Over the coming months we’re likely to experiment with other benefits to help support your learning. Please get in touch if you have ideas for things that you would like to see us offer.


Why should you upgrade?

Take the course at your own pace
Being able to access the course for as long as it exists on FutureLearn gives you ability the to learn at your own pace and refer back to course content whenever you like.

Validate your learning
When you upgrade, you’ll have access to any tests during the course. This allows you to ensure you have mastered the course material.

Prove your success
By taking tests you can qualify for a Certificate of Achievement or Statement of Participation to prove what you’ve learned. This is great for demonstrating your learning and commitment to your manager, potential employer or educational institutions.


Still got questions? Find answers in our Help Centre or the questions and answers in the comments below. If we’ve missed anything, feel free to ask in the comments and we will answer as best we can.

*UPDATE*
Thanks for all your comments. Comments on this post are now closed.

Ask a Data Engineer: Warby Parker Edition 👓

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Ask a Data Engineer: Warby Parker Edition 👓

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Codecademy’s very own Nick Duckwiler (left) and Ryan Tuck from Warby Parker (right) in our office. (📷: Mitch Boyer)

Last month, Codecademy and Warby Parker came together to work on a special Learn SQL from Scratch Capstone Project. It was during this time when I met Ryan Tuck, a Data Engineer at Warby, who played a major part in this partnership. So when he decided to drop by our office for the final QA round, I had to break out my notebook and ask some questions. Enjoy.


Hey Ryan, let’s start off with a question I’ve had for a while — what is a Data Engineer? (Is it similar to a Data Analyst or a Software Engineer?)

At Warby Parker, data engineers are responsible for creating and maintaining the plumbing required to support the data and reporting needs of the business. We use software engineering practices to automate the work of data cleaning, normalizing, and model building so that data is always ready to be consumed by data analysts in every department.

What languages/frameworks do you use at Warby?

On data engineering, we use Python as our general purpose programming language, as do most of the other teams in our Technology department. When it comes to databases, we use PostgreSQL for the majority of our SQL needs, and are beginning to use Amazon Athena and Google BigQuery for some of our larger datasets. We use Looker as our exclusive business intelligence entry point to all of this data.

What are some of the projects you worked on?

I’ve had the privilege of working with a lot of of smart people in every department at our company to help them solve their varied data needs, from reconciling financial data with the Accounting team to automating and modeling standardized performance metrics for our team of over 200 customer experience advisors.

As part of a team of five supporting the data needs of a rapidly growing company, I’ve tried where possible to focus on helping our analysts solve their own problems. This includes helping people learn Python and commit to our codebase, guiding the creation of data models in SQL, and encouraging people to submit pull requests to add features in Looker, our BI tool.

Seeing dozens of otherwise “non-technical” colleagues opening up PRs on a daily basis, and consequently being part of the democratization of tech that we value at Warby Parker, is probably the most rewarding “project” I’ve been a part of.

One project finished recently during our first annual “Hackweek” is called Pipes, which allows anyone at the company to easily move large amounts of data from wherever to wherever (Looker, Google Sheets, PostgreSQL, BigQuery, etc) on a regular cadence, or manually through a simple one-line chatbot interface. The adoption has been overwhelmingly positive and we’re looking to grow this sort of tooling out even more.

“We use software engineering practices to automate the work of data cleaning, normalizing, and model building so that data is always ready to be consumed by data analysts in every department.”

What got you into the data field?

I’ve always been drawn to analytical fields like math, and became pretty proficient in Excel during some internships in college. Once I had learned to program and learned more about data science and its applications in artificial intelligence, I knew that anything I could do to immerse myself in the world of data would be a step in the right direction.

Three and a half years ago, I landed a job as a junior software engineer at Warby Parker not fully knowing what I was in for, but am so glad I got the opportunity to help build tools to support an interesting and ever-changing data-driven culture here.

Where did you learn SQL and Python?

I had a background in C++, and was exposed to Python through an Intro to Data Science course. When Warby Parker hired me onto the Data team in 2015, I had never written a SQL query in my life, but picked it up quickly and within a few months started up internal SQL training classes, which I still teach on a monthly basis.

What does your tattoo say?


The ultimate cheatsheet.

This is Bayes’ Theorem, which is an equation that describes how to update probabilities given new evidence. Two summers ago I worked on building a tool to help predict weekly fantasy football performance. Some colleagues suggested a Bayesian approach would be appropriate, since there aren’t really enough data points in an NFL season to be able to use statistical approaches that require larger datasets, and I’d want to regularly update my predictions after each player’s latest performance.

I did a deep dive into understanding the (simple) math underlying Bayes’ Theorem and came out of that experience with a whole new worldview, understanding my entire knowledge of the world as a big and intricate probabilistic model that I was continuously updating with every experience I ever have. It was pretty transformative, and I figured that was worth a tattoo.

What is a concept in SQL/Python that’s essential to your work?

Donald Knuth said, “Premature optimization is the root of all evil.” I’ve generally found this to be true, and try to live by it in my work. For example, I’ll generally prefer to keep a data model simple by rebuilding it for all time on a daily basis using a single SQL query instead of making a more complicated model that requires iteratively adding to a table, keeping track of state, updated timestamps, when something last ran, etc.

A wise man once said, “Duplicating data makes things go fast,” but databases are already impressively fast to begin with, without implementing anything to improve performance. Ultimately, I almost always approach a problem thinking about optimizing for my time over machine time, for readability over performance, and for introducing as little cognitive overhead as is required by the problem at hand. Only once performance issues or readability issues present themselves will some code be worth a rewrite.

Last question! Since you wrote Warby Parker’s internal SQL training courses, I know there gotta be some inner Curriculum Developer in you. Can you teach a SQL concept in 2 minutes?

Sure! Have you ever written a query that yields some result set and you think, “I’d love to query the stuff I just produced like it was a table?” Enter the WITH clause.

Suppose I have a mega query that gives the transaction summaries:

select
    transactions.date as transaction_date,
    sum(items.price) as total_cost,
    count(*) as number_of_items
from
    transactions
inner join
    customers
    on
    customers.id = transactions.customer_id
inner join
    transaction_items
    on
    transactions.id = transaction_items.transaction_id
inner join
    items
    on
    items.id = transaction_items.item_id

Using WITH, I can create a temporary table within my query that I can SELECT from and treat it just like a regular old table.

I will put everything from the previous query in a parentheses and use WITH to give it the name transaction_summaries.

Then I’ll apply the date and customer filtering down below for a more readable query, to separate out all the JOIN logic from the actual WHERE filters that I want to apply on that data.

with transaction_summaries as (
  select
      transactions.date as transaction_date,
      sum(items.price) as total_cost,
      count(*) as number_of_items
  from
      transactions
  inner join
      customers
      on
      customers.id = transactions.customer_id
  inner join
      transaction_items
      on
      transactions.id = transaction_items.transaction_id
  inner join
      items
      on
      items.id = transaction_items.item_id
)

select 
        * 
from 
        transaction_summaries
where 
        first_name = 'beyonce'
        and 
        transaction_date > '2018–01–01'
order by 
        total_cost desc
limit 
        5

If you’re familiar with subqueries, this does a similar thing but makes the SQL far more readable, even if your query isn’t quite as performant as it would have been. This is essentially an implementation of the mantra “Don’t Repeat Yourself” that’s common in the world of programming.

Incredible. And love the SQL styling! 😍


Huge shout out to Ryan and the whole Warby Parker team for making this partnership happen. Special hat tips for behind-the-scenes support from:

  • Lon Binder, Chief Technology Officer, Warby Parker
  • Maddie Tierney, Executive Assistant, Warby Parker
  • Kayla Robbins, Executive Assistant, Warby Parker
  • Kaki Read, Senior Communications Manager, Warby Parker
  • Isabel Seely, Senior Brand Manager, Warby Parker

It’s been an absolute pleasure. And of course, the fam at Codecademy. You know who you are. Couldn’t do it without you.

Ask a Software Engineer: Airbnb Edition 🏡

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Ask a Software Engineer: Airbnb Edition 🏡
A Day in the Life of a Software Engineer (via Life of Luba)

With Airbnb came a revolution of sorts in the world of vacation travel and culture. We sat down with Luba Yudasina, a YouTuber, an opera singer, and a Software Engineer on the Airbnb’s Homes Platform team, to discuss software engineering and her programming journey—from Codecademy to Airbnb!


Hey Luba, let’s start with the basics! What does a Software Engineer on the Platform team do at Airbnb?

Homes Platform’s mission is to create the building blocks to power all Homes categories. Any project undertaken by our team should be reusable and extensible in some way. This means that as a backend engineer, I have a lot of opportunities to work on impactful technical projects that create systems and services to support Homes, as well as collaborate across teams to come up with the best architectural decisions and designs.

Recently, our team wrote a blog post on classifying Room Types into categories using Machine Learning and computer vision. The room-type classification problem largely resembles the ImageNet classification problem, except our team’s model outcomes are customized room-types.

After a few experiments with various models, the team chose ResNet50 due to its good balance between model performance and computation time. To make it compatible with our use case, we added two extra fully connected layers and a Softmax activation in the end.

Categorizing listing photos into room types (via the Airbnb Engineering & Data Science blog)

What languages/frameworks do you use at Airbnb?

At Airbnb we use Ruby, Java, Kotlin, JavaScript, Swift, Ruby on Rails, React for frontend, iOS and Android for native development.

Let’s rewind a little bit. Coming from a chemical engineering background in college, how did you make the switch into programming?

I went to the University of Waterloo in Canada—a university with the biggest co-op program in the world. Co-op means that to obtain a bachelor’s degree you must complete a certain number of internships. If you are in Engineering at Waterloo, you must complete 5 internships to graduate.

In my first and second years, I interned at chemical engineering companies and afterwards I couldn’t see myself working in the field full-time. That’s why I’m particularly grateful that I studied at Waterloo: if not for co-op, I probably would not have realized I didn’t want to work in chemical engineering until getting a full-time job after graduation.

I happened to have a lot of friends in Computer Science and Software Engineering right when I realized Chem Eng wasn’t for me. They really encouraged me to try coding, and when I decided to follow their lead I never looked back! My first online programming course was Web Development on Codecademy 🙂

“It’s a really cool time to be a software engineer and even cooler to be a female software engineer, because this is the time when women start to embrace their own unique identities and be ok with not being ‘one of the dudes.'”
-Luba Yudasina

How did you land an internship at Yelp?

When I decided I wanted to learn computer science on my own, my goal was to get an internship in the field because working as a software engineer at a tech company would be the best test to really know if it was for me.

I happened to be in Munich, Germany on academic exchange for a whole year when I was learning how to code, so I hustled as much as I could while being there to get experience to learn quicker and have something to put down on my tech resume.

Almost immediately after arriving in Germany, I got a part time job as a developer at a game publishing company. I had a good friend in Computer Science at my German university: her and I ended up working on an Android app as a side project, etc. When I was ready, I started preparing for technical interviews. I then leveraged my network to refer me to companies and do mock technical interviews with me.

Yelp was really random though—a Yelp recruiter looked at my LinkedIn profile and didn’t even message me, but I messaged them anyway asking about internship opportunities, and that’s how I got my interview there!

1_EHELVEIPNp19gv_RsIU-Ng

Airbnb HQ in San Franciso

What is an essential app/item in your day-to-day?

Code searching! A lot of software engineering is problem solving and a lot of it is understanding other people’s code and the reasoning behind writing it a certain way. Searching through the codebases is almost essential to my day to day. Whenever I build something new or build on top of already existing tech, I need to understand how it works and is written, and code search is vital to this.

At Airbnb we use Google’s Codesearch for these purposes, but developers (myself included) also frequently use their IDEs to search for relevant code. I mostly use RubyMine or IntelliJ (depending on the codebase I’m working with).

In your videos, you’ve mentioned the intersection of gender and technology. Can you speak a bit more about that?

It’s a really cool time to be a software engineer and even cooler to be a female software engineer, because this is the time when women start to embrace their own unique identities and be ok with not being “one of the dudes.”

I think it’s particularly important to redefine the stereotypes, and I hope that with my own example I can show young girls and women interested in the field that you don’t have to give up your feminine side to be a software engineer and still be into fashion, or makeup, or art (I personally sing opera) and have other interests outside of coding and be successful in the field.

Before we wrap up, do you have anything else you would like to say to our learners?

Don’t be discouraged, learn and absorb as much as you can! If you don’t understand a concept or can’t build a project right away, know that with practice, perseverance and concentration you will get there!

Take advantage of such amazing tools as Codecademy that are there for you to take and learn. Learning anything new can be frustrating, but knowing that you can do it, staying curious, asking questions and not losing your motivation is the key to success.


Huge shoutout to Luba for this insightful interview. It’s always incredibly moving to see a Codecademy learner go on to do bigger things. Go subscribe to her YouTube channel, Life of Luba.

And thank you to the whole Homes Platform/Engineering team at Airbnb for the support. Check out their wonderful open source projects on airbnb.io.

Brushing Beagle

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Brushing Beagle

On Feb. 11 and 12, dogs like the beagle pictured above competed to win the title of “best in show” at the Westminster Kennel Club Dog Show. Did you watch the competition? Which dogs were your favorites?

What are the best dog breeds, in your opinion? What are the best “good dogs” that you have ever known?

Tell us in the comments, then read the related articles to see more photos from the show and find out which dog won.

Find many more ways to use our Picture Prompt feature in this lesson plan.

Word + Quiz: pittance

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Word + Quiz: pittance

Note: Our Sixth Annual 15-Second Vocabulary Video Challenge is underway. It will run until Feb. 20.

: an inadequate payment

_________

The word pittance has appeared in 37 articles on NYTimes.com in the past year, including on June 22 in the Opinion essay “The Perfect Soundtrack for My Grief” by Kathleen O’Brien:

When we started our search for her successor, we were astounded by the number of applicants willing to move cross-country for an extremely modest salary. At first, we assumed these out-of-state applicants didn’t grasp our likely salary range and the cost of living in our neck of suburban New York.

But no, it turned out there are so few conductor openings, and the job is so rewarding, the applicants were willing to upend their lives for a pittance. When I mentioned my surprise to one of the applicants, he answered, “Conducting is such a fulfilling act: When things go right, it truly makes you feel much greater than just one mortal person.”

_________

How Do You Apologize?

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How Do You Apologize?

When was the last time you gave or received an apology?

How was the apology delivered? Was it in person? Handwritten? Digital?

How sincere or meaningful was the apology? Did it soothe hurt feelings or remedy the situation?

In “How We Apologize Now,” Lindsey Weber writes about the growing phenomenon of digital apologies from celebrities:

To be famous in 2019 one must possess (in addition to talent, or at least popularity) a patina of authenticity and a willingness to admit wrongdoing. Also: an iPhone.

Lady Gaga makes for a perfect case study. On Thursday, she sent an apologetic message to her more than 77 million Twitter followers. The singer wanted to let her Little Monsters know that, after renewed criticism of R. Kelly, she had decided to pull a track she had recorded with him in 2013 from streaming music services. “I’m sorry,” she wrote, her words cast against a grayish faux-paper background familiar to Apple users and celebrity news consumers, “both for my poor judgment when I was young, and for not speaking out sooner. I love you.”

Her statement was written using Notes, a free app that is preloaded onto Apple devices for the purpose of storing personal memories and to-do lists. In recent years, though, it has become the medium of choice for celebrity mass communication.

The reasons for writing these Notes vary, but oftentimes they are mea culpas for public errors. Armie Hammer apologized with a Notes app note for criticizing his peers for posting grief selfies after Stan Lee’s death (“I want to apologize from the bottom of my heart and will be working on my Twitter impulse control”). Kendall Jenner apologized for her clothing line’s insensitive use of the Notorious B.I.G.’s and Tupac Shakur’s likenesses (“we are huge fans of their music”). Logan Paul apologized for videotaping a dead body in Japan (“I intended to raise awareness for suicide and suicide prevention”). Cardi B notably did not apologize for secretly marrying Offset (“at least ya can stop saying i had a baby out of wedlock”). Ariana Grande once apologized for licking a doughnut (“I will strive to be better”).

Other public figures who have used Notes to make statements include Taylor Swift, Lena Dunham, Drake, Pete Davidson and Sarah Huckabee Sanders.

Part of the medium’s appeal is the ease with which its contents may be shared. Notes app apologies are screenshotted and dispersed, first on Twitter and Instagram, and then in entertainment news reporting. They are embedded into tabloid websites and quoted by magazines, as polished statements coming directly from publicists might be.

The article continues with some advice on what makes a good — and bad — digital apology:

The best Notes app statements follow the same guiding principles of any good apology: get in and get out; be direct; don’t try too hard to defend yourself; and (this is a bonus!) maybe say what you’re doing moving forward. “Folks are more likely to give you a second shot if you are just willing to say you made a mistake, and that you are going to do better,” Ms. Rahim said.

… Sharing a Notes app apology does have its pitfalls. If fans suspect an apology isn’t as heartfelt or genuine as its straight-from-my-personal-device format implies, the entire thing could backfire. But even worse is a completely unapologetic apology. After the music-retreat-for-one-percenters known as Fyre Festival proved to be a scam, Ja Rule, its co-organizer, made sure to relinquish himself of blame: “I truly apologize as this is NOT MY FAULT.”

“You want to avoid the Notes app spiral, long and short,” Ms. Rahim said, referring to the age-old tendency to get defensive, blowing out what should be a simple “sorry” into a long and winding tale of excuses.

Students, read the entire article, then tell us:

— Have you ever given or received a digital apology? Is a digital one just as good as any other form of apology? Why or why not? (If you never received one, how would you feel if you did?)

— What makes a good apology? What’s the best apology you have ever given or received? What happened, and how did you feel afterward? Did the apology help to remedy the situation?

— What makes a bad apology? What was the worst apology you have given or received? Why was it so bad?

— Which celebrity apology in the article do you think was the best? Which was the worst? Do any of the apologies change how you feel about the celebrities who gave them?

— Why are apologies important — for the person who gives them and for the person who receives them? Do you think digital apologies can help strengthen human bonds and relationships, or do they have a corrosive affect? After reading the article, are you more or less likely to give a digital apology in the future?

Students 13 and older are invited to comment. All comments are moderated by the Learning Network staff, but please keep in mind that once your comment is accepted, it will be made public.

Learning With: ‘“A Woman, Just Not That Woman”: How Sexism Plays Out on the Trail’

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Learning With: ‘“A Woman, Just Not That Woman”: How Sexism Plays Out on the Trail’

Before reading the article:

Draw what you think an effective president looks like. You can make a stick figure, if that feels most comfortable, but in your drawing, include words that describe the appearance, qualities and behaviors of a leader.

Now, read the article, “‘A Woman, Just Not That Woman’: How Sexism Plays Out on the Trail,” and answer the following questions:

1. According to the article, what are some of the stereotypes and double standards female candidates face when running for political office?

2. “For 20 years, we’ve heard participants in our focus groups say they would vote for a woman, just not that woman,” said Amanda Hunter, research and communications director at the Barbara Lee Family Foundation, which supports women in politics. Why is that statement being put to the test in the 2020 presidential primary?

3. How is “likability” influenced by gender bias? Give one example from the article to support your answer.

4. What are some of the assumptions voters make about female candidates? How do voters respond when women try to defy those stereotypes?

5. What are some of the ways female candidates are judged differently than male candidates on their appearance? How do these judgments affect voters’ perceptions of them as leaders?

6. Why is women’s representation in government crucial for the future success of female candidates?

Finally, tell us more about what you think:

In the past few months, five Democratic women currently serving in Congress have announced they are running for president in 2020. Choose one or more of these three videos to watch, each featuring one of these women: Kirsten Gillibrand, Kamala Harris and Amy Klobuchar.

Do you think the politician featured in the video you watched might make an effective president, based on the criteria you described above? Why or why not? Does the candidate’s gender in any way affect your answer?

What is your biggest takeaway from this article? How can you apply this information to your own life? How might it help you better assess the leadership abilities of the girls and boys or women and men that you know?