{"id":5545,"date":"2025-03-05T15:06:47","date_gmt":"2025-03-05T20:06:47","guid":{"rendered":"https:\/\/info.hsls.pitt.edu\/molbio\/?p=5545"},"modified":"2025-03-11T12:11:11","modified_gmt":"2025-03-11T17:11:11","slug":"learn-hsls-python-bootcamp-week-1-introduction-to-python-jupyterlab-and-jupyter-notebook-march-11","status":"publish","type":"post","link":"https:\/\/info.hsls.pitt.edu\/molbio\/2025\/03\/05\/learn-hsls-python-bootcamp-week-1-introduction-to-python-jupyterlab-and-jupyter-notebook-march-11\/","title":{"rendered":"Learn @ HSLS: Python Bootcamp Week 1 &#8211; Introduction to Python, JupyterLab, and Jupyter Notebook, March 11"},"content":{"rendered":"<div class=\"field field--name-body field--type-text-with-summary field--label-hidden field__item\">\n<p>Tuesday, March 11, 2025, noon-1:30 p.m.<br \/>\nOnline or In Person in the Falk Library Classroom<br \/>\nTaught by Alexis Cenname<br \/>\n<a href=\"https:\/\/www.hsls.pitt.edu\/instruction\/data-science\/python-bootcamp-week-1-introduction-python-jupyterlab-and-jupyter-notebook\">Register for Python Bootcamp Week 1<\/a><\/p>\n<p>Join us for our Python Bootcamp, 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 full data analysis workflow. This includes importing and cleaning data, moving on to complex 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>This is part 1 of a three-part Python Bootcamp. In this session you&#8217;ll familiarize yourself with the Anaconda Navigator interface and learn to create integrated Jupyter notebooks. We look forward to seeing you for all three sessions, as they build on each other; however, we understand if you are not able to make it to all of them \u2013 please still register and attend what you can!<\/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\">Utilize the Anaconda Navigater and JupyterLab interface<\/li>\n<li class=\"field__item\">Describe basic components of Python code<\/li>\n<li class=\"field__item\">Describe the basic functionality of Jupyter notebook<\/li>\n<li class=\"field__item\">Use JupyterLab to create a Jupyter notebook<\/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><\/div>\n<\/div>\n<div class=\"field field--name-field-recording-status field--type-list-string field--label-inline\">\n<div class=\"field__label\"><strong>Recording status:<\/strong> This class will be recorded and shared with attendees.<\/div>\n<div><\/div>\n<\/div>\n<div class=\"field field--name-field-class-materials field--type-list-string field--label-inline\">\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>Tuesday, March 11, 2025, noon-1:30 p.m.<br \/>\nOnline or In Person in the Falk Library Classroom<br \/>\nTaught by Alexis Cenname<br \/>\n<a href=\"https:\/\/www.hsls.pitt.edu\/instruction\/data-science\/python-bootcamp-week-1-introduction-python-jupyterlab-and-jupyter-notebook\">Register for Python Bootcamp Week 1<\/a><\/p>\n<p>Join us for our Python Bootcamp, offering a comprehensive dive into Python programming.<\/p>\n<p><a class=\"read-more\" alt= \"Learn @ HSLS: Python Bootcamp Week 1 &#8211; Introduction to Python, JupyterLab, and Jupyter Notebook, March 11\" href=\"https:\/\/info.hsls.pitt.edu\/molbio\/2025\/03\/05\/learn-hsls-python-bootcamp-week-1-introduction-to-python-jupyterlab-and-jupyter-notebook-march-11\/\">Read more&hellip;<\/a><\/p>\n","protected":false},"author":46,"featured_media":5334,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[54],"tags":[],"class_list":["post-5545","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-march-2025"],"_links":{"self":[{"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/posts\/5545","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=5545"}],"version-history":[{"count":4,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/posts\/5545\/revisions"}],"predecessor-version":[{"id":5558,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/posts\/5545\/revisions\/5558"}],"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=5545"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/categories?post=5545"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.hsls.pitt.edu\/molbio\/wp-json\/wp\/v2\/tags?post=5545"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}