Streamlining Your Laboratory with Python

January 25-29, 2025

San Diego Convention Center

San Diego, CA, USA

Streamlining Your Laboratory with Python

In this course you will level up your basic knowledge of Python programming, allowing you to streamline your laboratory by automating data collection, processing, analysis, visualization, and report generation. We introduce popular and relevant Python packages for laboratory scientists and demonstrate how to use them to solve authentic tasks encountered in a typical laboratory.

Get ready for this course by taking our first course, Introduction to Python Programming in the Lab.

Who Should Attend?

Research scientists working with data of all types.
Laboratory managers interested in reducing data to interpretable results.
Integrators with a need to monitor automated system operation.
Students with a desire to learn how to wrangle and present their results.

Course Benefits

Learn Python scientific packages used for data analysis, modeling, and visualization
Learn how to monitor the file system for changes and process data automatically.
Discover Python’s ability to generate reports in various formats, including Microsoft Word and Excel.
Learn how to transmit results over a network automatically.

Course Topics

Survey of Python applications in the scientific laboratory
Monitoring the file system and reacting to changes, automatically
Using Python to perform basic statistical analyses and modeling
Automating the generation of reports, including Word and Excel files
Programmatically sending notifications, such as email with attachments

Instructors

Mark F. Russo. Ph.D.
Department of Computer Science
The College of New Jersey

Mark Russo received a Ph.D. in Biochemical Engineering in 1989. He has held positions in the Biotechnology and Pharmaceutical industries in the fields of scientific computing, laboratory automation, data system design and development and software architecture. Russo has been involved in SLAS for many years as a short course instructor, session and track chair and the Executive Editor of the Journal of Laboratory Automation (JALA). He has published extensively on topics related to scientific computing and laboratory automation, including scientific articles and book chapters. Currently, he works in the pharmaceutical industry in enterprise information management. Russo also teaches computer science at The College of New Jersey, Ewing, NJ.

William Neil
West Belmar, NJ

William Neil received a Bachelor's degree in Chemistry and Biology from Trenton State College in 1981. For several years he worked with the Toxicology Division of Mobil Oil Corporation where he developed his interest in computer programming and laboratory automation. In 1987 he wrote his first application to automate data collection from a liquid scintillation counter and installed his first robotics system to automate a Packard biological oxidizer. He then took a two-year sabbatical to focus entirely on laboratory automation at International Flavors and Fragrances (IFF), where he automated fragrance sample compounding. It was at IFF where he learned how to ensure a 24/7 operation. Neil has been employed in the pharmaceutical industry since 1995, where he has written several applications in Python, C#, Visual Basic, VBA and numerous vendor scripting languages to automate the Drug Discovery process, particularly in the area of instrument integration.