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<!DOCTYPE html><html lang='en'><head><meta charset='UTF-8'><title>Yale DHLab - Participate in Python for Humanists workshop series</title><link rel='stylesheet' type='text/css' href='/assets/css/style.css?1737139726329634700'><link id='mobile-fonts'><link rel='shortcut icon' href='/assets/images/favicon.ico' type='image/x-icon'><meta http-equiv='cache-control' content='no-cache, no-store, must-revalidate'><meta http-equiv='pragma' content='no-cache'><meta http-equiv='expires' content='0'><meta name='viewport' content='width=device-width'><meta name='google-site-verification' content='Zw2VRjNAyfT-FjfkJqfffHmaHKcHTJ54Dy28j98IYjY'/><link media='(min-width: 900px)' href='https://fonts.googleapis.com/css?family=Open+Sans:300,400,600,700' rel='stylesheet'></head><body class='news-detail-page simple-page' tabindex='-1'><div class='content'><div class='container'> <header><a id='cube-container' href='/#'><div id='cube' aria-label='Yale DHLab logo'><div id='cube-face-a' class='row 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class='search-results'><div class='search-results-header'><div class='section-title'>Search Results</div> <select id='search-select' aria-label='Sort Search Results' tabindex='-1'><option value='relevance'>Relevance</option><option value='seconds'>Date</option> </select><hr/></div><div id='search-results'></div></div></div></div> </header><div class='mobile hero background-image' style='background-image:url("/assets/images/events/python-humanists.jpg")' alt=''></div><div class='center-column'> <section><div class='section-title hide-tablet'>NEWS</div><hr class='no-margin-bottom hide-tablet'><div class='tablet_hero'><div class='horizontal-card'> <a href='/2020-python-for-humanists' tabindex='-1'><div class='stripe'></div><div class='image-container'><div class='image background-image event-date-container' style='background-image:url("/assets/images/events/python-humanists.jpg")'></div></div> </a><div class='text'> <a href='/2020-python-for-humanists'><div class='small-uppercase'>Workshop</div><h2>Participate in Python for Humanists workshop series</h2> <br/> <br/><div class='teaser hide-mobile'><p>Looking for new ways to collect, analyze, and visualize humanities data? Try one or more of the workshops in our expanded Python for Humanists series! Designed to be taken as a sequence, these workshops will progress from introductory to more advanced techniques using the Python programming language.</p></div> </a></div></div></div><div class='mobile-title'><div class='mobile'><div class='small-uppercase'>NEWS</div><h2>Participate in Python for Humanists workshop series</h2></div></div><div class='two-column-container one-third-width top-text'><div class='left-column'><h2>Participate in Python for Humanists workshop series</h2><div class='square-image background-image event-date-container' style='background-image:url("/assets/images/events/python-humanists.jpg")'></div> <br/><div><b>Monday, September 14, 2020</b></div><br/><div class='social-media-icons'> <a class='social-media-icon clipboard-target' aria-label='copy URL' href='#'> <textarea class='clipboard-content' tabindex='-1'>http://localhost:4000/2020-python-for-humanists</textarea>
<img src='/assets/images/icons/icon-link.svg' class='light-icon' alt='link icon'> <img src='/assets/images/icons/icon-link-dark.svg' class='dark-icon' alt='link icon'><div class='clipboard-notification'><b>Copied</b> http://localhost:4000/2020-python-for-humanists <b>to your clipboard!</b></div> </a> <a class='social-media-icon' href='mailto:?to=&subject=Participate in Python for Humanists workshop series' aria-label='email to a friend'> <img src='/assets/images/icons/icon-email.svg' class='light-icon' alt='email icon'> <img src='/assets/images/icons/icon-email-dark.svg' class='dark-icon' alt='email icon'> </a> <a class='social-media-icon' target='_blank' href='https://twitter.com/intent/tweet?text=Dig+this%3A+Participate+in+Python+for+Humanists+workshop+series+--+http%3A%2F%2Flocalhost%3A4000%2F2020-python-for-humanists' aria-label='share on Twitter'> <img src='/assets/images/icons/icon-twitter.svg' class='light-icon' alt='twitter icon'> <img src='/assets/images/icons/icon-twitter-dark.svg' class='dark-icon' alt='twitter icon'> </a></div><div class='tags'><div>Tags:</div> <a href='/news.html?tags=Pedagogy'>Pedagogy</a></div></div><div class='right-column'><p>Looking for new ways to collect, analyze, and visualize humanities data? Try one or more of the workshops in our expanded Python for Humanists series! Designed to be taken as a sequence, these workshops will progress from introductory to more advanced techniques using the Python programming language. Each session will be grounded in data and research questions that are important in the humanities.</p><p>Workshops will be held over Zoom and are open to all Yale students, faculty, and staff, but space will be limited. Registration will open shortly, so check back soon for updates!</p><p>For tutorials from past Digital Humanities Lab workshops, visit the <a href="https://github.com/YaleDHLab/lab-workshops" target="_blank">DHLab’s GitHub repository</a>.</p><h3 id="python-for-humanists-workshop-series">Python for Humanists Workshop Series</h3><p><a href="https://dhlab.yale.edu/events/2020-10-01-python-first-steps.html" target="_blank"><strong>First Steps with Python</strong></a><br/> October 1, 3:00 p.m. Eastern</p><p>Curious about Python but not sure where to start? This workshop will introduce the basics of programming in Python. Participants will learn how to perform common tasks in Python in order to build familiarity with the language’s syntax and best practices.</p><p><a href="https://dhlab.yale.edu/events/2020-10-15-python-apis.html" target="_blank"><strong>Collecting Data with APIs</strong></a> <br/> October 15, 3:00 p.m. Eastern</p><p>Learn how to retrieve online data via an Application Programming Interface (API). Many libraries, museums, and galleries worldwide are digitizing their collections and making them available for data mining via APIs. In this workshop, we’ll cover what APIs are, along with how and why you might use them.</p><p><a href="https://dhlab.yale.edu/events/2020-10-22-python-parsing-data.html" target="_blank"><strong>Parsing Data with Python</strong></a> <br/> October 22, 3:00 p.m. Eastern</p><p>Develop techniques for wrangling messy data with Python. Oftentimes, data retrieved online needs to be transformed or otherwise parsed before it can become usable for your research. In this workshop, we’ll walk through using Beautiful Soup, a Python library for extracting data from HTML and XML files</p><p><a href="https://dhlab.yale.edu/events/2020-10-29-networks.html" target="_blank"><strong>Getting Started with Networks</strong></a> <br/> October 29, 3:00 p.m. Eastern</p><p>This workshop will provide a broad overview of network analysis. After covering what networks are and how to read them, instructors will open two breakout rooms: one will teach how to generate networks using Gephi (off-the-shelf software, no programming required) and the other will walk through using NetworkX (a Python library for creating networks). Participants will have the option to choose which breakout room they will join.</p><p><a href="https://dhlab.yale.edu/events/2020-11-05-classifiers.html" target="_blank"><strong>Building Classifiers with Python</strong></a> <br/> November 5, 3:00 p.m. Eastern</p><p>This workshop will offer an introduction to classification techniques in machine learning. We will discuss some of the many use cases for classification techniques—including spam detection, named entity recognition, and plagiarism detection—as well as the mechanics behind popular classification algorithms. Finally, we will build our own classifier and will classify observations in a prepared dataset that will be provided to participants.</p><p><a href="https://dhlab.yale.edu/events/2020-12-03-color-extraction.html" target="_blank"><strong>Extracting Color with Python</strong></a> <br/> December 3, 3:00 p.m. Eastern</p><p>Many programming workshops focus on how you can use Python for text analysis, but in fact, it is also useful for studying images at scale. In this workshop, we’ll demonstrate how we can use Python to extract color palettes from a collection of images. Along with discussing popular technical approaches, we will also introduce color spaces and theories of color perception, which will affect what algorithms we choose for specific tasks.</p><p><a href="https://dhlab.yale.edu/events/2020-12-10-image-similarity.html" target="_blank"><strong>Identifying Similar Images with Python</strong></a><br/> December 10, 3:00 p.m. Eastern</p><p>This workshop will focus on the task of identifying similar images at scale, but we will also discuss how you can apply same techniques when working with texts as well. We will cover the process of converting cultural heritage materials into “vectors”, the basics of working with vector spaces, and the ways we can use vector spaces to identify similar images and texts.</p></div></div> </section><section class='three-text-blocks'><div class='section-title'>RELATED NEWS</div><hr><div class='block block-1'> <a href='/news/2024-09-06-fall-DH-classes.html' tabindex='-1'><h2> Fall 2024 DH Classes</h2> </a><div class='small-uppercase'>Sep 06 2024</div><p>Looking for classes to take this fall? Here are a few that will help you explore the intersection of theology and artificial intelligence, use digital humanities methods to study ecological...</p> <a href='/news/2024-09-06-fall-DH-classes.html'>Learn More »</a></div><div class='block block-2'> <a href='/news/2024-01-18-spring-DH-classes.html' tabindex='-1'><h2> Spring 2024 DH Classes</h2> </a><div class='small-uppercase'>Jan 18 2024</div><p>Looking for classes to take this spring? 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Here are some that will help you explore lyric poetry with digital tools, use data visualizations to address environmental problems, study the intersection...</p> <a href='/news/2023-09-06-fall-DH-classes.html'>Learn More »</a></div> </section></div></div></div> <footer role='content-info'><div class='center-column'><div class='footer-column footer-top'><div class='footer-logo'> <a href='http://library.yale.edu' target='_blank'> <img src='/assets/images/branding/dhlab_footer.svg' alt='Digital Humanities Footer Logo'> </a></div></div><div class='footer-column footer-bottom'><div>Franke Family Digital Humanities Laboratory</div><div>Sterling Memorial Library</div><div>120 High Street, New Haven, CT 06511</div><div class='footer-mobile-icons'> <a href='mailto:[email protected]'> <img src='/assets/images/icons/footer-email.svg' alt='Email icon'> </a> <a href='https://twitter.com/YaleDHLab'> <img src='/assets/images/icons/footer-twitter.svg' alt='Twitter icon'> </a> <a href='https://www.github.com/YaleDHLab'> <img src='/assets/images/icons/footer-github.svg' alt='GitHub icon'> </a> <a href='https://www.instagram.com/yaledhlab'> <img src='/assets/images/icons/footer-instagram.svg' alt='Instagram icon'> </a></div><div> <a class='hide-tablet' href='mailto:[email protected]'>[email protected]</a></div> <br/><div> <b><a href='/terms-of-use.html'>TERMS OF USE</a></b> & <b><a href='/privacy-policy.html'>PRIVACY POLICY</a></b><br/><br/></div><div> <b><a href='https://usability.yale.edu/web-accessibility/accessibility-yale' target='_blank'>ACCESSIBILITY AT YALE</a></b></div></div><div class='footer-column footer-bottom' id='footer-on-campus'> <b>YALE PARTNERS</b> <br/> <br/><div> <a href='https://marx.library.yale.edu/data-gis-and-statistical-support-services-marx-library'>Data, GIS & Statistical Support Services</a></div><div> <a href='https://marx.library.yale.edu/'>Marx Science & Social Science Library</a></div><div> <a href='http://ccam.yale.edu/'>Center for Collaborative Arts & Media</a></div><div> <a href='http://ceid.yale.edu/'>Center for Engineering Innovation & Design</a></div><div> <a href='https://ctl.yale.edu/'>Poorvu Center for Teaching & Learning</a></div><div> <a href='https://research.computing.yale.edu/'>Yale Center for Research Computing</a></div> <br/><div> <b><a href='https://subscribe.yale.edu/browse?search=digital+humanities' target='_blank'>SIGN UP FOR DHLAB EMAILS</a></b></div></div></div> </footer><script src='/assets/bundle.js?1737139726329634700'></script> <script async>function gtag(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],gtag("js",new Date),gtag("config","UA-113348703-1")</script><link media='(max-width: 900px)' href='https://fonts.googleapis.com/css?family=Open+Sans:300,400,600,700' rel='stylesheet'></body></html>