Dear all, Modern biological research increasingly relies on data-intensive approaches, requiring researchers to manage, analyze, and interpret large and complex datasets. Python has become one of the most widely used programming languages in data science and bioinformatics thanks to its flexibility, powerful libraries, and active scientific community. Our upcoming online course “Advanced Python for Data Science and Bioinformatics” (23–26 March ) is designed to help researchers strengthen their Python programming skills and apply them within a complete data science workflow. The course focuses on practical applications relevant to biology and life sciences, combining data wrangling, visualization, and machine learning techniques. Participants will work with key Python tools such as Pandas, BioPython, matplotlib, and seaborn, and will explore core machine learning concepts including feature engineering, model training, and cross-validation. The course culminates in a hands-on project where participants develop a full workflow—from data preparation to model evaluation. Through guided exercises and practical examples, participants will gain the skills needed to confidently apply Python to real biological datasets and data science challenges. More information and registration details are available here: [ https://www.physalia-courses.org/courses-workshops/advanced-python/ ]( https://www.physalia-courses.org/courses-workshops/advanced-python/ ) Best regards, Carlo
-------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) -- https://mail.python.org/mailman3//lists/python-list.python.org
