This is a student-run computer language workshop. 7 meetings per semester. Python is an easy-to-learn programming language that is great for all scientific applications. In this course, you will learn the basics of Python, which includes detailed coverage of Python's basic command syntax, as well as its main foundations for the use in modern Data Science. After writing simple programs that can perform useful tasks, you will be able to use Python as a data analysis and visualization tool to accomplish a wide variety of tasks. We will cover central Python libraries including Pandas, Matplotlib, NumPy and Seaborn. The built-in data structures will be covered step-by-step, as well as the input and output of data in the form of manual input and/or files. You will learn to control the execution of your program via loops and branches. Functions from the Python standard libraries and other open-source program libraries will be used to extend your own programs in useful ways. At the end of the course, practical applications of Python will be covered. The number of employers that are looking for graduates who can use Python is steadily increasing. In addition to using it for research purposes, we will put a strong focus on how to use Python to increase your value in the job market.

This is a student-run computer language workshop. 7 meetings per semester. Python is an easy-to-learn programming language that is great for all scientific applications. In this course, you will learn the basics of Python, which includes detailed coverage of Python's basic command syntax, as well as its main foundations for the use in modern Data Science. After writing simple programs that can perform useful tasks, you will be able to use Python as a data analysis and visualization tool to accomplish a wide variety of tasks. We will cover central Python libraries including Pandas, Matplotlib, NumPy and Seaborn. The built-in data structures will be covered step-by-step, as well as the input and output of data in the form of manual input and/or files. You will learn to control the execution of your program via loops and branches. Functions from the Python standard libraries and other open-source program libraries will be used to extend your own programs in useful ways. At the end of the course, practical applications of Python will be covered. The number of employers that are looking for graduates who can use Python is steadily increasing. In addition to using it for research purposes, we will put a strong focus on how to use Python to increase your value in the job market.