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Coding for Chemists by Christopher J. Johnson

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Coding for Chemists

Saving Time and Solving Problems With Python

Christopher J. Johnson, Benjamin J. Lear

MIT Press · Print & ebook · Forthcoming

Reading lane: Molecular Modeling

A chemistry-driven pathway to learning Python that empowers chemists to use coding as a practical tool for planning experiments, visualizing results, and interpreting chemical behavior.

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At a Glance

Who It's For

Good for readers interested in scienceGood for readers who enjoy Molecular Modeling and Physical & Theoretical Chemistry.

Book Details

Authors
Christopher J. Johnson, Benjamin J. Lear
Publisher
MIT Press
Published
Forthcoming
Format
Print & ebook
Theme
Molecular Modeling · Physical & Theoretical Chemistry
Reading lane
Molecular Modeling

Affinity

Publisher Categories

  • Python Programming

  • Analytical Chemistry

  • Science

About This Book

A chemistry-driven pathway to learning Python that empowers chemists to use coding as a practical tool for planning experiments, visualizing results, and interpreting chemical behavior. This approachable textbook introduces coding in Python as a tool for solving real-world problems encountered by experimental chemists and uses a narrative structure that frames coding concepts in terms of tasks common to chemical research. Readers will learn to plan experiments, automate the...

Read full description

A chemistry-driven pathway to learning Python that empowers chemists to use coding as a practical tool for planning experiments, visualizing results, and interpreting chemical behavior. This approachable textbook introduces coding in Python as a tool for solving real-world problems encountered by experimental chemists and uses a narrative structure that frames coding concepts in terms of tasks common to chemical research. Readers will learn to plan experiments, automate the generation of publication-quality figures, fit experimental data to any desired model, and process data using advanced analysis techniques. By working through this book, readers with no prior knowledge of coding will learn to efficiently expand their research and data analysis skills. - Introduces concepts and workflows applicable to nearly all experimental chemists - Assumes no prior knowledge of coding - Ensures that each concept introduced is immediately useful to the reader - Tackles key pain points familiar to any advanced undergraduate chemistry student with usable code

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