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Situs Slot Gacor Online Terbaik Dan Terpercaya

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Situs Slot Gacor Online Terbaik Dan Terpercaya

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8 Surprising Ways Code Is Used at the Olympics

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8 Surprising Ways Code Is Used at the Olympics

Have you seen the viral AI-generated gymnastics video? The bizarre amalgamation of limbs flying and twisting through the air defies the laws of physics and anatomy — an amusing reminder of AI’s limits. While this AI gymnast has nothing on the world-class human gymnasts competing in the 2024 Paris Olympics, you can expect to see AI and other innovative technology used at the Games this year in new and unexpected ways. 

Behind the scenes, cutting-edge technology helps athletes perform at their peak and enables spectators to enjoy the action around the world. From analyzing scoring data to deploying recommender systems so fans can watch their favorite events, here are some of the fascinating ways that tech, coding, and AI will be used during the 2024 Paris Olympics. 

AI oversight initiative 

In April, a group of experts from various fields, including AI scholars, athletes, and tech representatives, created the Olympic AI Agenda to manage AI use in the Olympic Movement. They identified potential AI risks and established best practices for mitigating them, like guidelines for reducing human bias in judging and refereeing and providing personalized coaching for athletes. The committee also detailed how AI can streamline event organization, transportation, and worker training. You can read the in-depth Olympic AI Agenda here.  

Lots of organizations have guiding principles and policies when it comes to using AI ethically. We published our Codecademy AI principles, which outline our approach to using and building AI systems so that all our learners and community members can experience AI in a safe and fair way.  

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Prepare for cyberattacks 

The cybersecurity team for the 2024 Olympics is preparing for an unprecedented number of attempted attacks — potentially eight to 12 times more than the 450 million “security events” faced during the Tokyo 2021 Games, The New York Times reported. To counter these threats, Paris 2024 organizers are conducting extensive “war games,” which are exercises where ethical hackers test the systems and offer bug bounties for discovered vulnerabilities.  

Curious about the unique professional opportunities you can have in cybersecurity? Read more about in-demand cybersecurity careers to understand the field, and check out these (totally legal) ways to practice ethical hacking.  

Statistical analysis for judging fairness 

Even Olympic judges get judged. Statistical tools are used to measure factors that can affect judging accuracy and fairness. This is especially important in sports with subjective scoring systems, like gymnastics.  

Data Scientist Dr. Hugues Mercier leads an ongoing project that tracks Olympic judges’ performance over time, considering variables like fatigue and apparatus difficulty. This data is used to rank individual judges and ensure that overall judging quality remains excellent and backed by comprehensive data analysis. 

AI-generated expert commentary  

This year, Olympic highlights will feature AI-generated narration by the legendary sports broadcaster Al Michaels, thanks to a new initiative from NBCUniversal and Peacock. Instead of the announcer summarizing the events in real-time, an AI program trained on Al’s past NBC clips will create daily highlight reels narrated by an AI re-creation of his voice.  

Streaming and recommender systems 

AI is also transforming the way that people watch the 2024 Olympics from their couches around the world. The streaming platform Peacock has a new feature where subscribers can customize a reel of their favorite events and the types of highlights they want to see, like viral clips or gold medal moments. The AI assembles these personalized 10-minute packages each evening (with human oversight ensuring quality).  

If you want to learn how streaming platforms (like Netflix and Spotify) use machine learning to make personalized recommendations, take our skill path Build a Recommender System. 

Judging gymnastics using data 

The Judging Support System (JSS) uses multiple high-definition cameras placed around a gymnastics apparatus to capture a 3D view of a gymnast’s performance, focusing specifically on their joints. An AI model that was trained on video footage of 8,000 routines can cross-check the performance against the Code of Points, the official rulebook that details how gymnastics skills should be executed and scored. The JSS can identify about 2,000 different gymnastics elements with about 90% accuracy, similar to human judges. 

While it’s not clear if this will be used at the Olympics, JSS was used on every apparatus at the World Championships, the qualifying competition for the Games. 

Protecting athletes from online abuse 

The International Olympic Committee introduced an AI-powered system to protect athletes from online abuse during the Paris 2024 Games. This system monitors thousands of social media accounts in real-time, flagging abusive messages in over 35 languages before athletes can see them. It’s part of a broader safeguarding initiative that includes mental health support and well-being resources for athletes.  

Precise review systems  

The Decision Review System (DRS) in cricket is an advanced technology that helps review and confirm umpire decisions during a game. DRS employs a range of hi-tech tools including ball-tracking, ultra-motion cameras, sound sensors, and thermal imaging. When a team requests a review, sophisticated technologies come into play. For instance, systems like Hawk Eye or Virtual Eye analyze the ball’s trajectory and point of pitching to determine if it would have hit the stumps despite the batter’s position.

Word of the Day: haptic

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This word has appeared in five articles on NYTimes.com in the past year. Can you use it in a sentence?

This is the Most Popular Programming Language for Learning to Code

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This is the Most Popular Programming Language for Learning to Code

Stack Overflow’s 2024 Developer Survey just dropped, with Python ranking the most popular programming language among people learning to code. This finding tracks with our Codecademy community’s taste: Our Learn Python 3 course is the most popular in our catalog, meaning it’s the course learners visit and enroll in the most.

Millions of experienced developers and newbies choose Python. This year, the annual Stack Overflow Developer survey looked at over 65,000 responses from people in 185 countries. Most respondents are full-time professional developers, but the survey also includes people learning to code, hobbyists, and folks who write code sometimes as part of their work or studies.

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Why Python is the most popular language for learners

Survey participants were asked to name the programming, scripting, and markup languages they have extensive experience with, and select the ones they’d like to keep working with. In the category of people who are learning how to code, 66% said they like Python the most.

Folks at the start of their learning journey gravitate towards Python since its syntax is clear, concise, and reads like plain English. The creator of Python, Guido Van Rossum, intentionally designed the syntax so that a total newbie could easily grasp new programming concepts. Here’s a Python code snippet for a program that calculates the factorial of a number. Take a look at the straightforward syntax:

def factorial(n):
    if n == 0:
        return 1
    else:
        return n * factorial(n - 1)

# Example usage
number = 5
result = factorial(number)
print(f"The factorial of {number} is {result}")

Another Python perk is its versatility across web development, machine learning, data science, and financial analysis. When you’re first learning to code, you may not know which programming domain interests you the most. With Python, you can go in learning the basics of web dev and have the flexibility to expand to data analysis and machine learning later on. Plus, Python has tons of pre-written libraries, tools, and frameworks that boost what you can do with the language. 

The survey responses from professional developers were slightly different than the group of learners, with 65% claiming JavaScript as their favorite followed by SQL, HTML/CSS, and then Python. Professional developers often use lots of different languages based on their organization’s tech stack or their own expertise and job responsibilities. If you’re a professional developer looking to refine your skills in one of these languages, be sure to check out our intermediate and advanced courses.

More programming languages for learning to code

So, what are the other programming languages that people (like you!) learning to code rank highly? Here are the most popular programming, scripting, and markup languages, according to those who are learning to code (plus beginner-friendly courses to get you started):

Python

Try it: Learn Python 3

HTML/CSS

Try it: Learn HTML, Learn CSS

JavaScript

Try it: Learn JavaScript

Java

Try it: Learn Java

C++

Try it: Learn C++

SQL

Try it: Learn SQL

C

Try it: Learn C

Bash/Shell

Try it: Learn the Command Line

TypeScript

Try it: Learn TypeScript

C#

Try it: Learn C#

If you’re overwhelmed by all of these languages to choose from, the free Codecademy course Choosing a Programming Language can help find the right fit for you. We’ll cover key factors and guide you to the best Codecademy courses and skill paths.

Start learning Python today

Ready to take the Python plunge? We recommend kicking things off with our introductory course Learn Python 3, then taking the free course Getting Started with Python for Data Science for hands-on experience working with real datasets in Python. If you want to get into web development, try Build Python Web Apps with Django or Build Python Web Apps with Flask. Explore our 130-plus Python courses and projects to get a sampling of everything the language has to offer.

For more in-depth findings, be sure to read the full Stack Overflow 2024 Developer Survey.

Motivational Regulation – Strategies for Academic Motivation

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Motivational Regulation – Strategies for Academic Motivation

When students use self-consequenting, they identify and provide either extrinsic rewards for talk completion (“After I finish this paper I’ll go get ice cream”) or negative consequences that might occur after poor performance (“If I don’t finish this paper I can’t get ice cream”). These consequences can be long-term – students may remind themselves of what a failure or missed assignment means in terms of career opportunities. 

Value Regulation

When students use value regulation they attempt to enhance either the personal significance of the task or the situational interest. Students might connect the task to their personal values, identities, and preferences to enhance personal significance. E.g. “I want to become a doctor, and part of being a good doctor is turning in paperwork on time.” On the other hand, students might try to increase the situational interest of a boring or repetitive task by turning it into a game so that it is more enjoyable. E.g. “I’m trying to beat my last time for getting through this flashcard deck.”

Efficacy Enhancement

When students use efficacy enhancement strategies they use cognitive-behavioral strategies to or self-talk to enhance their self-efficacy and confidence. Perhaps not surprisingly, the first kind is the one I most often use and encourage students to use as well: breaking a large task into smaller, more attainable goals (“How do you eat an elephant? One bite at a time.” is what I told myself last week when I felt I had perhaps bitten off more than I could chew at work, to extend the eating metaphor.). Efficacy enhancement can also involve positive self talk, e.g., “you can do this!”.

Environment Regulation

Students can monitor and control various aspects of their environment to help regulate their motivation. Again, this is one of the strategies that I most often recommend to students because it’s an opportunity to highlight classical and operant conditioning principles. These strategies can involve removing distractions, finding a quiet place, and forming a learning community. I recommend that students set up a dedicated study space where only studying happens. This space should be clean and pleasant so that studying is rewarded. As opposed to studying in spaces that are used for other things. This is my “don’t study at the kitchen table” rule, and often advice I give to older, non-traditional students who need to balance obligations at home with studying. 

While some strategies were more strongly associated with student outcomes, no one strategy emerged as the best. Overall, the strategies had only small positive correlations with academic achievement. As any student struggling with study motivation knows, the relationship between motivation and academic achievement is not always straightforward. You can want and desire to do well academically, but still struggle with motivation. Even with motivation it’s not guaranteed that you have the strategies and resources to do well. Motivation is just one piece of a complicated puzzle. Among these small correlations, performance-approach self-talk and efficacy enhancement were significantly stronger compared to performance-avoidance self-talk and situational interest.

When looking at effort, mastery-self talk had a significantly stronger, positive moderate correlation compared to the other strategies. In terms of competence beliefs there wasn’t much difference between the motivational regulation strategies, with all of the strategies having a significant low to moderate relationship with competence beliefs. However, among those efficacy enhancement had a significantly stronger relationship than self-consequenting. Similarly, all of the motivational regulation strategies had significant moderate positive relationships with value perceptions.

Within self-regulation, all of the motivational strategies had a significant moderate and positive relationship with cognitive regulation with efficacy enhancement and mastery self-talk performing the highest. In behavioral regulation, most of the strategies had a significant positive low to moderate relationship (except performance-avoidance which was not significant). Here efficacy enhancement performed the highest.

Overall, mastery self-talk, efficacy enhancement, and performance-approach self-talk tended to have the strongest relationships with student outcomes. Self-consequenting and performance-avoidance tended to have the weakest, or non-existent, relationship with student outcomes. While neither of these had negative relationships with outcomes, they are both potentially maladaptive strategies. Punishing yourself for not meeting your goals and working to avoid shame and humiliation may bring up unpleasant emotions and lead to procrastinating on a task. I would recommend not relying too heavily on these strategies for self-motivation.

I took away a few interesting points about academic motivation from this study. First, instead of finding the “best” motivational regulation strategy, the authors stressed the importance of meta-motivational awareness and developing a set of motivational regulation strategies. There’s no one right way to get motivated!

Second, the paper stressed the importance of motivational regulation strategies being conscious and effortful. If you find yourself struggling with motivation, know that it is not always automatic! Many students struggle with motivation. You can develop a set of motivational strategies to help manage your motivation.

Taking the data science path to a Master of Computer Science from Illinois

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Taking the data science path to a Master of Computer Science from Illinois

How Sreyashi Das upskilled her career while working for Netflix

Sreyashi Das is a 2022 graduate of the Master of Computer Science in Data Science from the University of Illinois at Urbana-Champaign (UIUC). She’s a senior data engineer at Netflix who prepared to enhance her specialty by building her skills in this program that was recently named the #1 Best Online Master’s in Data Science Program by Fortune.

With computer science and data science flourishing, Sreyashi can look forward to a career full of potential. According to the US Bureau of Labor Statistics (BLS), computer and information technology-related occupations are expected to grow faster than average between 2022 and 2032 [1]. The BLS also estimates the mean annual salary for data scientists is $119,040 [2].

Sreyashi’s pathway is one of two available in the program, as students can pursue either the Master of Computer Science (MCS) or the Master of Computer Science in Data Science (MCS-DS). When asked why she chose the MCS-DS, Sreyashi says that she worked closely with data scientists as a data engineer at Netflix and wanted to discover the impact of their data sets. She adds, “The diverse set of courses piqued my curiosity. I had heard great things from my friends that also took the program.”

Realizing that she could complete the program around her work schedule—and recognizing it was a good value for the cost of tuition—Sreyashi decided to apply. Once she was accepted and enrolled, Data Visualization and Data Mining soon became two of her favorite courses. She especially notes how she could relate what she was learning to her real-life experiences.

Looking back now, Sreyashi tells us, “The program had good course materials, the professors were great, and the fact that it was online gave me the flexibility I needed. The online learning environment gave me as much, if not more, than what I would’ve gotten in an on-campus program.” She continues by noting, “There are resources like Slack that allowed me to connect with other students taking the same courses. I was in study groups with people across the world and it provided a global experience and exposed me to different perspectives.”

After completing the MCS-DS, Sreyashi also has full appreciation for the help she received from university staff and the impact she’s made in her career. She says, “The graduate team really supported me throughout the whole program and gave me the confidence to finish. All of the coursework was relevant, and I was able to apply what I learned directly to my job.”

Sreyashi’s story is a great reminder that when you’re seeing interesting work done by others, you can learn how it’s done and find yourself in an exciting new career. If computer science or data science has captured your imagination too, check out the MCS and MCS-DS from UIUC today and consider the possibilities for your own career.

1. US Bureau of Labor Statistics. “Occupational Outlook Handbook- Computer and Information Technology Occupations, https://www.bls.gov/ooh/computer-and-information-technology/home.htm.” Accessed June 20, 2024.

2. BLS. “Occupational Employment and Wage Statistics, https://www.bls.gov/oes/current/oes152051.htm.” Accessed June 20, 2024.

Learn more about the Master of Computer Science.

Teachers, How Do You Handle Classroom Conversations About Hot-Button Issues?

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What has worked? What has been difficult? We’d love to hear from educators at all levels and across subject areas.

Our 2024-25 Student Contest Calendar

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Ten challenges that invite teenagers to engage, experiment, reflect and create — via writing, photography, audio, video and more.

Word of the Day: defector

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This word has appeared in 38 articles on NYTimes.com in the past year. Can you use it in a sentence?

Sustainable Dining at Cotolettafs: Honoring Italy’s Culinary Heritage with Ethical Practices

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Sustainable Dining at Cotolettafs: Honoring Italy’s Culinary Heritage with Ethical Practices

Cotolettafs is not only dedicated to serving exceptional Italian cuisine but also committed to sustainable practices that respect the environment and support local communities. Situated in [Location], this renowned restaurant exemplifies how culinary excellence can be achieved while prioritizing ethical sourcing and responsible consumption.

From Farm to Table: Ethical Sourcing and Local Partnerships

At www.cotolettafs.com, sustainability begins with the sourcing of ingredients. The restaurant partners with local farmers, fishermen, and artisanal producers who share a commitment to sustainable practices. Fresh vegetables are sourced from nearby organic farms, ensuring that seasonal produce is not only flavorful but also minimizes environmental impact through reduced transportation. Seafood selections adhere to sustainable fishing practices, supporting marine conservation efforts and preserving ocean biodiversity.

Promoting Biodiversity: Embracing Local and Seasonal Ingredients

Cotolettafs celebrates Italy’s rich culinary heritage by prioritizing local and seasonal ingredients in its menu. From heirloom tomatoes grown in nearby vineyards to fragrant herbs harvested from the restaurant’s own garden, each ingredient reflects a dedication to preserving biodiversity and supporting agricultural traditions. By embracing the flavors of the season, Cotolettafs ensures that every dish is a tribute to Italy’s diverse landscapes and culinary diversity.

Reducing Food Waste: Innovation in the Kitchen

In addition to ethical sourcing, Cotolettafs takes proactive measure to minimize food waste within its operations. The restaurant’s chefs employ innovative techniques to utilize every part of the ingredient, from root to stem, ensuring that nothing goes to waste. Excess food is donated to local charities or repurposed into creative dishes that surprise and delight diners, showcasing the kitchen’s commitment to sustainability and culinary ingenuity.

Environmental Stewardship: Eco-Friendly Practices

Beyond the kitchen, Cotolettafs implements eco-friendly practices throughout its operations to reduce environmental footprint. The restaurant uses energy-efficient appliances, implements recycling programs, and prioritizes reusable and biodegradable packaging materials. Water conservation measures are also in place, with efforts to minimize water usage and promote responsible stewardship of this precious resource.

Community Engagement: Supporting Local Initiatives

Cotolettafs is deeply rooted in the local community, actively engaging in initiatives that support social responsibility and community development. The restaurant sponsors local events, participates in fundraisers for charitable causes, and collaborates with educational institutions to promote culinary arts and sustainability. By nurturing these partnerships, Cotolettafs strives to make a positive impact beyond its dining tables, fostering a stronger and more resilient community.

Conclusion: A Commitment to Excellence and Sustainability

In conclusion, Cotolettafs embodies the principles of excellence and sustainability in every aspect of its operations. From ethical ingredient sourcing to innovative culinary practices and community engagement, the restaurant sets a standard for responsible dining that honors Italy’s culinary heritage while safeguarding the planet for future generations. Join us at Cotolettafs, where dining sustainably is not just a choice but a celebration of Italy’s natural bounty and cultural legacy.