{"id":5825,"date":"2026-04-02T08:47:26","date_gmt":"2026-04-02T13:47:26","guid":{"rendered":"https:\/\/info.hsls.pitt.edu\/molbio\/?p=5825"},"modified":"2026-04-02T08:47:26","modified_gmt":"2026-04-02T13:47:26","slug":"learn-hsls-python-bootcamp-week-2-data-centric-python-with-pandas-april-13","status":"publish","type":"post","link":"https:\/\/info.hsls.pitt.edu\/molbio\/2026\/04\/02\/learn-hsls-python-bootcamp-week-2-data-centric-python-with-pandas-april-13\/","title":{"rendered":"Learn @ HSLS: Python Bootcamp Week 2: Data Centric Python with pandas, April 13"},"content":{"rendered":"<p>Monday, April 13, 2026, noon-1:30 p.m., Online<br \/>\nTaught by Alexis Cenname<br \/>\n<a href=\"https:\/\/www.hsls.pitt.edu\/instruction\/data-science\/python-bootcamp-week-2-data-centric-python-pandas\/10826\">Register for Python Bootcamp Week 2<\/a><\/p>\n<div class=\"field field--name-body field--type-text-with-summary field--label-hidden field__item\">\n<p>Join us for our Python Bootcamp Week, offering a comprehensive dive into Python programming. Mirroring the approach of its R counterpart, the bootcamp unfolds through a sequence of dedicated sessions that encompass the data analysis workflow. This includes importing and cleaning data, moving on to data manipulation, and employing advanced visualization techniques with the pandas and seaborn libraries. Each day&#8217;s workshop builds on the last, ensuring a comprehensive understanding and practical application of Python for data analysis.<\/p>\n<p>In Week 2, &#8220;Data Centric Python with pandas&#8221; delve into Python&#8217;s diverse data structures and how to explore datasets using the pandas library, enhancing your data analysis skills.<\/p>\n<\/div>\n<p><!--more--><\/p>\n<div class=\"field field--name-field-learning-objective field--type-string field--label-above\">\n<div><strong>Target Audience:<\/strong> The target audience for this workshop series is beginners and intermediates in data science, particularly those interested in learning Python programming for data importation, exploration, cleaning, and visualization.<\/div>\n<div><\/div>\n<div class=\"field__label\"><strong>Upon completing this class, you should be able to:<\/strong><\/div>\n<ul class=\"field field--name-field-learning-objective field--type-string field--label-above field__items\">\n<li class=\"field__item\">Describe various data types in Python<\/li>\n<li class=\"field__item\">Use pandas functions to examine a data set<\/li>\n<li class=\"field__item\">Import data sets from various sources<\/li>\n<li class=\"field__item\">Export data to flat files<\/li>\n<\/ul>\n<\/div>\n<div class=\"field field--name-field-class-level field--type-list-string field--label-inline\">\n<div class=\"field__label\"><strong>Level:<\/strong> Novice<\/div>\n<\/div>\n<div><\/div>\n<div>\n<div class=\"field field--name-field-class-prerequisites field--type-text-long field--label-inline\">\n<div class=\"field__label\"><strong>Prerequisites:<\/strong> Python Bootcamp Days 1, Installation of Anaconda Navigator\/JupyterLab<\/div>\n<\/div>\n<div><\/div>\n<div class=\"field field--name-field-class-prerequisites field--type-text-long field--label-inline\">\n<div class=\"field__label\"><strong>What should you do before attending this class:<\/strong> If you do not have any previous knowledge of Anaconda\/JupyterLab, or do not have it downloaded on your computer, please follow the instructions given in the <a href=\"https:\/\/pitt-my.sharepoint.com\/:u:\/g\/personal\/alc244_pitt_edu\/IQDOn_OUp_RBRb-nc0SKW71_ASM58feWKxW9dD9u7EprUng?e=iEsnGw\"><strong>Overview file<\/strong><\/a>. It is important you complete this\u00a0<strong>before<\/strong>\u00a0the first day. The document will also provide links to additional help and resources for Python\u00a0programming.<\/div>\n<\/div>\n<div class=\"field field--name-field-pre-work-description field--type-text-long field--label-inline\">\n<div><\/div>\n<div class=\"field__label\"><strong>Recording status:<\/strong> This class will be recorded and shared with attendees.<\/div>\n<\/div>\n<\/div>\n<div class=\"field field--name-field-class-materials field--type-list-string field--label-inline\">\n<div><\/div>\n<div class=\"field__label\"><strong>Class Materials:<\/strong> Class materials will be shared with attendees.<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Monday, April 13, 2026, noon-1:30 p.m., Online<br \/>\nTaught by Alexis Cenname<br \/>\n<a href=\"https:\/\/www.hsls.pitt.edu\/instruction\/data-science\/python-bootcamp-week-2-data-centric-python-pandas\/10826\">Register for Python Bootcamp Week 2<\/a><\/p>\n<p>Join us for our Python Bootcamp Week, offering a comprehensive dive into Python programming. Mirroring the approach of its R counterpart, the bootcamp unfolds through a sequence of dedicated sessions that encompass the data analysis workflow.<\/p>\n<p><a class=\"read-more\" alt= \"Learn @ HSLS: Python Bootcamp Week 2: Data Centric Python with pandas, April 13\" href=\"https:\/\/info.hsls.pitt.edu\/molbio\/2026\/04\/02\/learn-hsls-python-bootcamp-week-2-data-centric-python-with-pandas-april-13\/\">Read more&hellip;<\/a><\/p>\n","protected":false},"author":46,"featured_media":5334,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[66],"tags":[],"class_list":["post-5825","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-april-2026"],"_links":{"self":[{"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/posts\/5825","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/users\/46"}],"replies":[{"embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/comments?post=5825"}],"version-history":[{"count":1,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/posts\/5825\/revisions"}],"predecessor-version":[{"id":5826,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/posts\/5825\/revisions\/5826"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/media\/5334"}],"wp:attachment":[{"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/media?parent=5825"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/categories?post=5825"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/tags?post=5825"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}