Python for Research and Scientific Computing

A Project-Based Course for Researchers and STEM Professionals to Learn Scientific Problem-Solving with Python

Created by: Ediz Herkert
Stay curious!

What Will I Learn?

• Develop an analytical mindset and problem-solving skills to tackle research challenges using Python
• Gain proficiency in popular scientific Python packages, including NumPy, Matplotlib, SciPy, and Pandas
• Implement advanced numerical techniques like Monte Carlo simulations
• Numerically solve multidimensional and coupled differential equations
• Track and predict Brownian motion for insightful analysis
• Estimate model parameters through optimization and curve fitting
• Conduct statistical analysis on extensive databases with millions of entries
• Acquire practical tips and tricks to create high-quality graphics using Python and Inkscape

Requirements

• Basic knowledge of programming concepts and familiarity with Python syntax
• Understanding of fundamental mathematical principles and ability to work with equations
• Prior experience in scientific research or a background in a STEM field

Target audience

• Scientists, researchers, and professionals in STEM fields who want to improve their Python skills specifically for scientific applications
• Students or graduates in scientific disciplines seeking to strengthen their programming abilities and streamline their research workflows
• Professionals in industries such as data analysis, engineering, and technology who want to apply Python to solve scientific problems
• Anyone with a strong interest in scientific research and a desire to use Python as a powerful tool in their field