Python Programming for Biologists: For Beginners
Unlocking the Power of Python: Empowering Biologists with Coding Skills
Skills you will gain:
This program is designed as an introductory pathway for biologists with little to no prior programming experience, focusing on Python, one of the most versatile and widely-used programming languages in scientific research. Over one month, participants will engage with hands-on tutorials, real-world problem-solving exercises, and collaborative projects tailored to biological contexts. The curriculum emphasizes practical applications, including automation of data processing, visualization, and statistical analysis of biological data. This approach will empower participants to handle large datasets more effectively and make informed decisions in their research and professional activities.
Aim:
Program Objectives:
- Introduce the basics of Python programming and its environment.
- Teach data manipulation, visualization, and analysis techniques.
- Demonstrate the application of Python in solving biological data challenges.
- Develop skills to automate routine data processing tasks.
- Foster the ability to independently solve problems using programming.
What you will learn?
- Basic Python Syntax: Participants will become familiar with the fundamental syntax and structure of the Python programming language, including variables, data types, operators, and functions.
- Data Structures: The workshop will cover essential data structures such as lists, tuples, dictionaries, and sets, exploring how these structures can be used to store, manipulate, and organize biological data.
- Control Flow: Participants will learn about control flow statements such as loops and conditional statements, enabling them to control the flow of execution in their Python programs and automate repetitive tasks.
- File Handling: The workshop will teach participants how to read from and write to files in Python, allowing them to work with various data formats commonly encountered in biological research, such as text files and CSV files.
- Biological Data Analysis: Participants will learn how to perform basic data analysis tasks using Python, including data manipulation, filtering, sorting, and aggregation, with a focus on biological datasets.
Intended For :
Open to students and professionals in biological sciences, biotechnology, and related fields with no prior requirement of programming knowledge.
Career Supporting Skills
