Above is an image related to one of the news stories we followed the past two weeks. Do you know what it shows? At the bottom of this quiz, you’ll find the answer.
Have you been paying attention to current events recently? See how many of these 10 questions you can get right.
Local, independent businesses are part of what makes a city or town unique, especially with the proliferation of chain stores and restaurants across the country and around the world.
Are there any local businesses where you live that you want to celebrate? Perhaps they are a hangout spot, serve a regional specialty or have been around for generations.
If not in your own community, have you found such places while traveling?
In “Where Southerners Go to Fill the Tank and Feed the Family,” Kim Severson writes about a new photography book that documents rural gas stations in the South. The article begins:
New York City has its bodegas. The South has its gas stations.
When you stop for motor oil in Mississippi, you can also grab fried chicken on a stick. In North Carolina, you can buy a steamy bowl of pozole along with batteries and a five-pound bag of White Lily flour.
There might be shawarma next to the shotgun shells, or wedges of mild hoop cheese and packets of saltines for sale at the counter along with lottery tickets and pecan pie that the owner’s sister made.
Documenting these independent Southern temples of commerce and community has become a singular focus for the photojournalist Kate Medley, who, like most kids raised in Mississippi, grew up eating at rural gas stations.
Now living in Durham, N.C., Ms. Medley, 42, has spent more than a decade collecting images for her book of photographs, “Thank You Please Come Again,” which the digital magazine The Bitter Southerner published in December. The book began with a journalist’s curiosity, but ended up as a way for a daughter of the Deep South to make sense of the beautiful, brutal, complicated place she came from.
The article continues:
A dozen years ago, Ms. Medley discovered a Citgo in Durham that had become a Nicaraguan place called the Latin America Food Restaurant. She developed a theory.
“I thought I could chart the emerging immigrant foodways of the South by way of what was happening in the backs of these gas stations,” she said.
Some independent gas stations are fading in the fluorescent light of chains like QuikTrip and RaceTrac, with their cheap gasoline, hot-dog rollers and endless banks of soda machines. Some station owners let the gas pumps run dry or remove them altogether because the local economy is too depressed. Other gas stations have become churches or nightclubs, or have been abandoned altogether.
The book opens with an essay by the Southern writer Kiese Laymon, who grew up in a very different part of Jackson, Miss., than Ms. Medley. She didn’t know him when she reached out, but he understood her project immediately.
“I’d never thought about the fact that my favorite restaurants, as a child, as a teenager, as an adult returning to Mississippi, nearly all served gas,” he writes. “And I never, ever, thought of them as gas stations that served food.”
He tells the story of childhood trips to Jr. Food Mart in Forest, Miss., on Friday nights. His grandmother’s boyfriend, Ofa D, would slip in a Tina Turner tape and drive them in his pickup. They’d order a box of dark-meat chicken, a foam container of fried fish and a brown paper sack filled with the fried potato wedges everyone in Mississippi knows as potato logs.
Students, read the entire article and then tell us:
What are your favorite local businesses? What makes them special? What do you think your community might lose if they closed?
What can someone learn about a place by eating or shopping at its local businesses?
If you had the chance, would you want to stop at any of the rural gas stations described in the article? Would you want to eat there? Why?
Would you ever want to undertake a project like Kate Medley’s effort to document rural gas stations in Southern states? Why or why not? What region or type of place would you want to shine a spotlight on?
Students 13 and older in the United States and Britain, and 16 and older elsewhere, 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 and may appear in print.
Find more Student Opinion questions here. Teachers, check out this guide to learn how you can incorporate these prompts into your classroom.
There are 18 shows opening on Broadway in March and April, including a new version of the 1975 musical “The Wiz,” musical adaptations of “The Notebook” and “The Outsiders,” and plays that star celebrities like Steve Carell and Rachel McAdams.
Have you ever seen a performance on Broadway? If not, what live theater have you experienced, whether at school, in your local community, on a vacation or anywhere else? What was memorable about it?
Whether you’ve spent much time at the theater or not, what plays, past or present, do you most wish you could see? To help, you might take a look at this list of the highest-grossing Broadway musicals since the 1980s. Do any of them appeal to you?
Tell us in the comments, then read the related article to learn more.
Students 13 and older in the United States and Britain, and 16 and older elsewhere, 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 and may appear in print.
The word salience has appeared in 35 articles on NYTimes.com in the past year, including on Feb. 8 in “Australia Introduces Workers’ ‘Right to Disconnect’” by Natasha Frost and Isabella Kwai:
“The world is connected, but that has created a problem,” Tony Burke, the minister for employment and workplace relations, said in an interview with Australia’s public broadcaster on Tuesday.
“If you’re in a job where you’re only paid for the exact hours that you’re working, some people are now constantly in a situation of getting in trouble if they’re not checking their emails,” Mr. Burke added. It is reasonable for employers to contact their workers about shifts and other matters, he said, but workers should not be obligated to respond to these messages during their uncompensated hours.
Unions and other industrial groups have long argued that employees have the right to disconnect, but the issue gained salience during the pandemic, when a widespread shift to remote work led to the further blurring of boundaries between home life and work life.
Can you correctly use the word salience in a sentence?
Based on the definition and example provided, write a sentence using today’s Word of the Day and share it as a comment on this article. It is most important that your sentence makes sense and demonstrates that you understand the word’s definition, but we also encourage you to be creative and have fun.
If you want a better idea of how salience can be used in a sentence, read these usage examples on Vocabulary.com. You can also visit this guide to learn how to use IPA symbols to show how different words are pronounced.
If you enjoy this daily challenge, try our vocabulary quizzes.
Students ages 13 and older in the United States and the United Kingdom, and 16 and older elsewhere, can comment. All comments are moderated by the Learning Network staff.
The Word of the Day is provided by Vocabulary.com. Learn more and see usage examples across a range of subjects in the Vocabulary.com Dictionary. See every Word of the Day in this column.
Data Scientists are a hot commodity. The U.S. Bureau of Labor Statistics projects that demand for Data Scientists will grow 35% by 2035, which is much faster than other occupations. Despite the wealth of open positions in the field, you’ll still need to ace your interviews to land one.
To help you prepare, we’ll walk you through what you can expect during a Data Scientist interview, some common questions, and tips for answering them. Challenge yourself to respond to open-ended questions in our revamped Data Analyst and Data Scientist Interview Prep programs. Receive instant feedback from AI based on your answers, highlighting any areas that could use improvement. Or, for a more in-depth exploration of a Data Scientist’s fundamental knowledge and skills, check out our Data Scientist: Machine Learning Specialist career path.
When going in for a Data Scientist interview, you can expect your interviewer to ask questions that test your knowledge of gathering, analyzing, and applying data.
Also, because Data Scientists need to produce, examine, and interpret datasets, the interviewer will want to see your problem-solving skills. They might also check on your ability to work with others and maintain a focus on high-level objectives — not just the figures on your screen.
You can also expect them to ask questions about your work history, challenges you’ve faced, and why you want to work at their company. Even though Data Scientists spend a lot of their time working with data, working with people is just as important — so you should expect some questions about your soft skills along with your technical knowledge.
Data Scientist interview questions can be grouped into two basic categories: technical or behavioral. Technical questions help the interviewer gauge your familiarity with the tools you’ll need as a Data Scientist. Behavioral questions help illustrate your personal competencies and thought processes. While the technical questions may seem more difficult on the surface, you should take the time to prep for both.
Again, behavioral interview questions help your interviewer understand who you are as a person. These questions often center around your experience, thought processes, aspirations, and motivations. Here are a few common behavioral Data Scientist interview questions.
This question gives you the opportunity to talk about:
When answering this question, you’ll want to show that you’ve done your research about the company and what it offers. You should also explain why you’re passionate about data science as a problem-solving tool.
To answer this question, you’ll want to show you know:
Discussing how you address challenges that arise within a team environment allows you to showcase your ability to listen, communicate effectively, and help yourself and others focus on the team’s objective. While talking about challenges related to gathering, organizing, and analyzing data, you have the chance to show your ability to think creatively and find solutions.
Data Scientist interview questions like this help your interviewer assess your understanding of the role for which you’re applying, as well as your ability to use your experiences as learning tools. Explain how universal skills like effective communication and collaboration transfer to your new role. You could also highlight any relevant tools or techniques you’ve used in previous positions.
Technical interview questions often focus on how you approach the challenges Data Scientists face every day. In some cases, the question itself may not specifically allude to any technical tools, but you should still view your answer as an opportunity to show you know which tools and techniques best solve key problems.
Before the interview, it’s a good idea to mentally list the tools you’ve used to solve problems, ranging from data science-specific tools like SQL and Python to general tools like Excel and PowerPoint. You may also want to take a few data science courses to brush up on any skills that are listed as preferred or required on the job description.
Selection bias refers to data samples that aren’t randomly selected. Avoiding selection bias is important because insights derived from biased datasets aren’t useful. While answering this question, discuss the tools and methods you’ve used to avoid selection bias, such as weighting, boosting, and resampling data.
The best way to answer a question about the ideal size of a dataset is to explain how it depends on the context of the situation. Then, provide examples of how different circumstances require different sizes.
For example, large datasets aren’t always cost-effective because they require vast amounts of computational power, human resources, and time to maintain. Plus, there might even be redundancies in your data. In many situations, you can use a smaller dataset without sacrificing the validity of your results.
Root causes analysis involves reverse-analyzing an issue to figure out the original problem that caused it. But, your answer to this question shouldn’t stop after you’ve provided a definition. Provide an example of how you used root cause analysis to solve a problem either at a previous job or in your studies.
While answering this question, showcase your understanding of outliers by explaining how they jeopardize the integrity of your dataset and can possibly lead to errors in your results. Then, explain how you identify outliers with methods and techniques like composing histograms or using quartiles or standard deviations.
By practicing the technical and behavioral questions above, you’ll be well on your way to landing a position as a Data Scientist. Remember to prepare ahead of time so you’re comfortable and ready to show why you’re the best choice for the job. In our upgraded Data Analyst and Data Scientist Interview Prep paths, you can assess your responses to open-ended questions, receive immediate AI-generated feedback, and pinpoint areas for improvement.
If you’re still feeling uncertain and want to ensure you’re well-prepared, check out our Data Scientist: Machine Learning Specialist career path. You’ll learn all you need to know to gain an entry-level position in the field. Plus, you’ll also build a portfolio that showcases your skills to future employers.
This blog was originally published in July 2021 and has been updated to include details about our new AI interview prep features.
Congratulations! You’ve landed an interview for a Data Analyst position at the perfect company. You’re only inches away from your dream career, and all you need to do to seal the deal is answer a few questions.
Of course, it’s best to practice first. To make sure you’re well-prepared for your upcoming interview, we’ll walk you through some common data analyst interview questions. Read on for a mix of technical and behavioral questions that’ll help refresh your understanding of data analytics’ fundamentals and key principles. Then test your ability to answer these types of open-ended questions on the spot in our new and improved Data Analyst and Data Scientist Interview Prep paths. We’ll give you instant AI-generated feedback based on your response, and identify any areas that need improving.
Key concepts and elements of data analytics include:
Learn the definitions of these terms and concepts and describe how you used them to solve a problem.
You may hear this question during a technical interview. Describe ways you debugged code or built or added features to a product. You may want to bring in examples of what you applied using programming languages, coding, data projects, or checking code.
Technical interviews sometimes require candidates to solve a data problem or at least lay out their approach to the problem and explain how they’d find a solution. The interviewer would likely be looking for the candidates’ methods rather than the correct solution.
Give your interviewer a glimpse into your mind. Describe any problems you’ve encountered with incomplete or poor quality data, and explain how you cleansed it or filled its gaps.
Provide examples of how you handled new tasks, dealt with challenges, managed multiple responsibilities, overcame disagreements and mistakes, and performed under pressure. You don’t have to explain every challenge you’ve ever faced, but have some real examples on-hand that illustrate your problem-solving ability. Read more about problem-solving strategies you can work on and show off in your interviews.
Point out any qualifications you’ve earned, especially in key computer languages or systems such as Python. If you’re well-versed in database management or statistics, this is an opportunity to highlight your knowledge of those functions. With Codecademy Pro, you can earn professional certifications when you pass all the exams in a career path. These professional certificates validate expertise to both yourself and potential employers.
You may also want to highlight your familiarity with libraries and frameworks geared toward data science, like SciPy or Seaborn.
If you don’t have many certifications, try explaining how your experiences in past positions relate to your capacity as a Data Analyst.
You’ll likely hear this question if you’re switching to a new career in data analytics. In an article for The Muse, Caris Thetford recommends answering this question by explaining how the universal skills you gained from your past experiences have influenced your approach to coding.
This type of question is also one you can answer with a practiced elevator pitch that emphasizes your desire to produce great work as a reason for your career switch.
If you’re uncertain about your experience with or knowledge of data analytics, try addressing how your skills transfer into the specific industry you’re aiming to enter.
Because of its wide range of applications in data science and analytics, you may also be questioned about your knowledge of Python. Use this list of practice Python interview questions to refamiliarize yourself with the language’s key components and concepts.
Before your interview, put your skills to the test by answering unstructured questions in real-time through our enhanced Data Analyst and Data Scientist Interview Prep courses. You’ll get prompt feedback generated by AI on your responses and discover areas that may need refinement.
If you need a more in-depth refresher of the skills and knowledge you’ll need as a Data Analyst, check out our Data Scientist: Analytics Specialist career path. We’ll cover everything you need to know, help you build a portfolio, and even give you some more tips on interviewing. Or, if you’re starting fresh, check out our data science career guide. We’ll help you find the right path toward your future career in the field.
This article was originally published in June 2021 and has been updated to include details about our new AI interview prep features.
In “In Newark, 16-Year-Olds Win the Right to Vote in School Board Races,” published on Jan. 10, Tracey Tully writes:
Residents as young as 16 have been granted the right to vote in school board elections in Newark, New Jersey’s largest city, beginning in April, after the City Council unanimously approved an ordinance Wednesday lowering the voting age.
If implemented, the measure would make Newark the largest community in the United States to expand voting rights to younger residents since 1971, when the 26th Amendment lowered the voting age to 18 nationwide.
“This would far and away be the most consequential effort to lower the voting age to 16 in the country,” said Andrew Wilkes, chief policy officer at Generation Citizen, a national nonprofit group focused on encouraging young people to participate in democracy.
There have been successful efforts to allow younger teenagers to vote in smaller communities in Maryland and Vermont over the past decade.
In 2013, Takoma Park, Md., a 17,000-person suburb of Washington, became the nation’s first city to let 16-year-olds vote in local elections. Last year, Brattleboro, Vt., lowered its voting age to 16. And in California, residents of Berkeley and Oakland approved referendums in 2016 and 2020 giving 16-year-olds the right to cast ballots in school board elections, but the change has never been implemented.
The initiative in Newark, a city 10 miles west of Manhattan where nearly 90 percent of residents are Black or Latino, is considered a major leap in a nationwide campaign to reinvigorate civics education, encourage greater participation in the democratic process and boost lagging voter turnout.
The article continues:
The City Council approved the resolution after more than two hours of testimony for, and against, lowering the voting age. Most of the people opposed to the new age requirement said students were underprepared to make such crucial decisions, and they urged the city to also bolster its civics curriculum.
Newark’s mayor, Ras J. Baraka, a former high school principal, called it a “direct learning experience.”
“It’s a training ground and opportunity to prepare young folks to actually engage in larger elections,” Mr. Baraka said in an interview.
However, Ms. Tully writes, the idea of giving 16- and 17-year-olds has its critics:
State Republican leaders panned the effort as nothing more than a cynical attempt to pad the Democratic advantage in New Jersey. Democrats in New Jersey already outnumber registered Republicans by 955,000 voters.
“Give me a break,” said Senator Declan O’Scanlon, a Republican who represents Jersey Shore communities.
“They’re not ready to make these decisions,” he said of most 16- and 17-year-olds. “They’re not taxpayers.”
Representative Grace Meng, a New York Democrat, has introduced legislation in Washington to lower the voting age for all elections nationwide to 16, a proposal that has yet to gain widespread public support. A 2019 poll by Hill-HarrisX found that 75 percent of people surveyed opposed allowing 17-year-olds to vote; 84 percent opposed allowing 16-year-olds to vote.
Students, read the entire article and then tell us:
Should the voting age be lowered to 16? Why or why not? In your view, at what age should people be able to vote in the United States?
What is your reaction to the Newark City Council resolution allowing 16- and 17-year-olds to vote in school board elections? Does it go too far — or not far enough? Do you think the resolution will bolster state and national efforts to lower the voting age?
Mr. Baraka, Newark’s mayor, says that expanding voting rights to younger residents for local elections will provide a “training ground and opportunity to prepare young folks to actually engage in larger elections.” Do you agree? Which arguments in favor of granting the vote to 16-year-olds do you find most convincing?
Critics, however, argue that students are underprepared to make such crucial decisions, and state Republican legislators have panned efforts to expand voting rights as nothing more than an attempt to pad the Democratic advantage in New Jersey. How persuasive are the counterarguments to lowering the voting age?
Nathaniel Esubonteng, a 16-year-old junior at Science Park High School in Newark, says that the City Council resolution means that politicians “will actually have to listen to us.” Will expanding the right to vote to 16-year-olds in local elections, such as for school board, empower young people? Will doing so improve our political system?
Have you been taught civics in school? Do you ever discuss, with your teachers or family, issues facing your community and the country? Do you feel prepared as an informed and active citizen in our democracy? Would having the right to participate in local elections increase your civic engagement?
If you were old enough to vote now, would you? If you are already old enough, have you ever voted? Do you plan to start voting when you turn 18? How important is voting to you?
The word reluctant has appeared in 993 articles on NYTimes.com in the past year, including on Jan. 29 in “He Stole Dorothy’s Ruby Slippers. He Thought They Had Real Rubies” by Michael Levenson:
Mr. Martin had dealt in stolen jewels and had spent time in prison for burglary, his lawyer said. But he had been out of prison for 10 years at the time of the theft in 2005 and was living quietly in Grand Rapids, a small city 80 miles northwest of Duluth, when an “old mob associate” contacted him about “a job,” his lawyer wrote.
Mr. Martin was initially reluctant to get involved, Mr. DeKrey wrote. But “old Terry” beat out “new Terry,” and he gave in to the temptation for “one last score,” his lawyer said.
Can you correctly use the word reluctant in a sentence?
Based on the definition and example provided, write a sentence using today’s Word of the Day and share it as a comment on this article. It is most important that your sentence makes sense and demonstrates that you understand the word’s definition, but we also encourage you to be creative and have fun.
If you want a better idea of how reluctant can be used in a sentence, read these usage examples on Vocabulary.com. You can also visit this guide to learn how to use IPA symbols to show how different words are pronounced.
If you enjoy this daily challenge, try our vocabulary quizzes.
Students ages 13 and older in the United States and the United Kingdom, and 16 and older elsewhere, can comment. All comments are moderated by the Learning Network staff.
The Word of the Day is provided by Vocabulary.com. Learn more and see usage examples across a range of subjects in the Vocabulary.com Dictionary. See every Word of the Day in this column.
Learning to code so that you can land a job in tech can feel daunting. That’s why we’re sharing inspiring stories from Codecademy’s community — to show how people like you (yes, you!) can embark on a learning journey and end up with a totally new career. We hope these stories serve as a reminder that there’s no single path to a more fulfilling work life.
Today’s story is from Barbara Perez de Araujo, a 27-year-old PhD candidate researching alpine ecology, living in Bavaria, Germany. Read more stories from Codecademy learners here — and be sure to share your story here.
“I started coding because my friends suggested it and I wouldn’t lose anything by doing it. Secondly, it was just a personal interest. I knew a lot of people who are in the IT branch, and they kept telling me about what they do and how coding is something that can be used outside of IT. They were the ones who encouraged me to try it. Coding interested me. I’ve always been interested in languages in general, and coding is nothing more than a computer language, or rather, many computer languages.
I did this in my free time just because it sounded fun, and it also complements my curriculum. I studied environmental protection and landscape planning at the Technical University of Munich. I mainly work with remote sensing in the context of nature protection and perform data processing and analyses with Python and R. In university, I had a notion that Python and its packages existed, but I never really delved into it. I also brushed up on R, and did some SQL, but Python and R are the most important languages for me.”
There are tons of pre-written Python packages that are especially useful for data science beginners.
“I was fortunate to be in the middle of my internship semester, so I had a fixed schedule. When I was home, I’d learn pretty much every day just because it interested me. I would always learn after I finished my actual tasks, so it was often at night. It was never a problem for me because it always felt like some sort of puzzle game to keep the mind busy. I’m also a workaholic, so I guess that helps.”
“I had a student membership, which provided a discount. Honestly, I didn’t have to save up much. I still see this as a very worthy investment, and for an entire year, it wasn’t a big hit on my bank account.”
“I’ll be starting my PhD this year in alpine ecology. When I did my interview for the PhD program, they laid a lot of weight on me knowing coding. I had to say, ‘Hey, I know coding. I can do this and that, here’s how I use Python. This is how I use R.’ But it’s always like in the back of my mind, like, You don’t know coding like this. You’re not an IT professional. I have friends in IT who actually code and have spent their entire lives learning. There’s always this little voice saying, Why are you saying you know how to code? But then again, I finished my master’s thesis, and I wouldn’t have been able to do that if I didn’t know how to program.
Just because one is not like a coding mastermind or in the IT industry, doesn’t mean that you don’t code. Don’t gatekeep yourself is the most important advice that I can give like people. There are many levels of coding and knowledge, and all of them [count as] coding.”
Read these tips for coping with impostor syndrome from folks in the Codecademy community.
“For my master’s thesis, I had to work with satellite products. These involved JavaScript, because Google works with JavaScript, and I used Google satellites. I used Python because some workflows required an API. Python also just generally helps with automatizing workflows. If I were to do this myself — and I did try, because I wasn’t very confident in my coding abilities — it would take days for something that the API or the script could do automatically. Coding just basically made my master’s thesis possible. There’s no way around it.”
“What I wish I knew was that you can’t only get confident with the theory, you have to try and do your own exercises. If I see something that I’m doing, even in my daily routine, that can be automatized or coded, it’s a nice way to also train what you know. Try to create exercises for yourself or look for something to apply that what you learn. Codecademy was a very good base to know what I’m talking about, what to look for in a code, how to debug code. But a huge part of my learning was also just doing my master’s thesis.
I think it’s important to know that everyone asks questions. Throughout my journey I went to Reddit a lot, to Stack Exchange, to Discord communities — I’ve found people of all skill levels and careers engaging just as much. No one has the answers to everything they need. Forums are there for that.”
Tucking a note into a lunchbox. Scraping an icy windshield. Grabbing a favorite snack at the convenience store.
What small acts of love do you perform for and receive from those you care about, whether that’s a friend, a parent, a sibling or even a pet?
“Sometimes love needs a grand gesture: a bouquet of roses or a big night out,” Melonyce McAfee and Catherine Pearson write in “100 Small Acts of Love.” “But strong relationships also need regular care and attention.”
Ms. McAfee and Ms. Pearson invited New York Times readers to share the small ways they show affection to the people they love. Here were some of the many answers they received:
We live in a house from the 1800s with a poor heating system. In the evening, my husband fills a hot water bottle and puts it at the foot of our bed so when I get in, the sheets are toasty warm. — Emily Franklin, Boston
For more than 21 years, my husband has given me the last bite of his dessert, always. — Jennifer Grissom, Los Angeles
I am a teacher in a public school. My husband is retired. Every morning at 6:50, he takes my work and lunch bags out to the car. Then he warms up the car and pulls it out of the garage for me. — Lori Bricks, Princeton, N.J.
We say, “I love you” every time one of us leaves the house. It seems small, but after almost 17 years of marriage, I would feel like I had left my keys behind if I hadn’t said it. — Kate Reymann, Salt Lake City
My husband has successfully learned my hunger cues. He will insist on making me a grilled cheese or egg-and-cheese sandwich, even when I halfheartedly say, “No, you don’t have to.” Basically, cheese is the way to my heart. — Megan Margino Marchese, Setauket, N.Y.
My husband is Filipino, and I am not, so I learned to cook pancit, a noodle dish his mother made. It makes him happy. We cut vegetables, chop meat, then assemble the dish, always refining our understanding of it. It’s like love — it gets better every time. — Muffie Alejandro, Los Angeles
My precious husband, to whom I was married for 46 glorious years, passed away six years ago. But not a day has gone by since when I haven’t blown a kiss to the photograph of him that I keep on my bedroom table. — Karen Strauss, New Rochelle, N.Y.
He does the chores I dislike: taking out the trash, catching bugs, making last-minute grocery store trips. I know they aren’t his favorite things to do, but he does them for me. — Anna Tosone Innis, Tampa, Fla.
My husband of almost 33 years buys me books he thinks I’ll like. Whenever he gives them to me, he says, “I got you flowers.” — Kris Dinnison, Spokane, Wash.
I have half a banana for breakfast, and my husband always carves a heart on the cut end. — Jill Black, Kalispell, Mont.
Students 13 and older in the United States and Britain, and 16 and older elsewhere, 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 and may appear in print.
