Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than other languages such as C++ or Java.
In many real-world large-scale optimization problems, the large volumes of data are required to be stored and manipulated very efficiently, and Python is one of the greatest tools for it. Moreover, there are many available API/packages in Python to solve optimization problems, such as Linear Programming, Integer Programming, Stochastic Programming, and other Optimization methods.
Juxihong (Jushkhun) will provide a basic Python workshop. Jushkhun is a Dual-Title Ph.D. Student in Industrial and Manufacturing Engineering Department at Penn State. He is a member of Institute of Industrial ENGINEERS (IIE), Society for Engineering and Management Systems (SEMS) and Society for Health Systems (SHS). Currently, he is a Research Assistant in Laboratory for Intelligent Systems and Analytics (LISA). His research interest lies in the field of optimization, statistical modeling, natural language processing, and network analytics.
The workshop will provide a basic hands-on Python tutorial, including basic data types (integer, float, string), compound data types ( list, dictionary), control flows (for loop, if else, while, etc.), functions & classes, useful packages (Pandas), and how to import and learn to use packages.
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