It Always Looks So Easy (a.k.a., DUTC going ‘Dutch’) Part 2

Don't Use This Code

We waited at the bar for, like, thirty minutes! A surprisingly tricky coding puzzle

<h2>Summary</h2><p>In this session, we will add a new wrench into our &quot;split the bill&quot; problem by having some guests pay for just drinks, others pay for just food, and others pay for both food and drinks.</p><h3>Description</h3><p>Ever faced the daunting task of splitting the bill when dining out with friends? Join us in our engaging seminar, &quot;It Always Looks So Easy (a.k.a., DUTC going ‘Dutch’),&quot; where we challenge our experts to live-code their way to a solution. In this session, we&#x27;ll explore the art of bill splitting by diving into core Python data structures, prototyping solutions, and testing our code rigorously. We&#x27;ll walk through the end-to-end process of both creating and refining solutions using practices based in test-driven development.</p><h3>Audience</h3><p>Whether you&#x27;re a Python enthusiast, a budding programmer, or simply curious about solving real-life dilemmas with code, this seminar is the perfect opportunity to hone your skills, explore problem-solving strategies, and enhance your Python expertise. Discover how Python can make splitting the bill a breeze, one line of code at a time.</p>

<h2>Presenter:<em> James Powell</em></h2><p><strong>James Powell</strong> is the founder and lead instructor at Don't Use This Code. A professional Python programmer and enthusiast, James got his start with the language by building reporting and analysis systems for proprietary trading offices; now, he uses his experience  as a consultant for those building data engineering and scientific computing platforms for a wide range of clients using cutting-edge open source tools like Python, pandas, and React.</p><p>He also currently serves as a Board Director of NumFOCUS, the 501(c)3 non-profit that supports all the major tools in the Python data analysis ecosystem (i.e., pandas, numpy, jupyter, matplotlib). At NumFOCUS, he helps build global open source communities for data scientists, data engineers, and business analysts. He helps NumFOCUS run the PyData conference series and has sat on speaker selection and organizing committees for 18 conferences. James is also a prolific speaker: since 2013, he has given over seventy conference talks at over fifty Python events worldwide.</p>

<h2>Presented by: Don't Use This Code</h2><p>Don't Use This Code is a professional training, coaching, and consulting company deeply invested in open source technologies, centered around the PyData stack for scientific and numeric computing. We are dedicated to bringing better processes and a better understanding of these powerful tools.</p><p>We are continually seeking new partners, clients, and engagements for our services. Organizations looking to better employ these tools would benefit from our wide range of training courses on offer (<a href="https://learning.dutc.io" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">learning.dutc.io</a>), ranging from an intensive introduction to Python fundamentals to advanced applications of Python for building large-scale production systems. Working with your team, we can craft targeted curricula to meet your training goals. We are also available for consulting services, such as building scientific computing and numerical analysis systems using technologies like Python and React.</p><p>We pride ourselves on delivering top-notch training uniquely valuable to each individual attendee, and we do so by investing in three key areas: our content, our processes, and our contributors.</p>

It Always Looks So Easy (a.k.a., DUTC going ‘Dutch’) Part 2

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It Always Looks So Easy (a.k.a., DUTC going ‘Dutch’) Part 2

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