Chemists and researchers are increasingly motivated to learn coding to streamline workflows and enhance problem-solving capabilities in their work. The book "Coding For Chemists" provides practical Python solutions for common challenges in chemical research. The collaboration between Ben Lear and Christopher Johnson emphasizes the importance of coding skills in scientific education, particularly as new tools reshape teaching methods. Topics covered include data visualization, analysis, and applications of Python for improving research efficiency. The authors aim to equip others with essential programming skills for more effective scientific inquiry.
The book targets chemists and other researchers who want to streamline common workflows with Python, offering solutions to challenges in chemical research.
The collaboration between Ben Lear and Christopher Johnson stems from their shared experiences in teaching coding, focusing on practical applications like data visualization.
Using Python in scientific research not only enhances problem-solving speed but also showcases the direct benefits coding has on optimizing workflows.
Current educational practices in chemistry have been transformed by LLM tools, necessitating the adaptation of new teaching techniques to reinforce coding skills.
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