menu
{ "item_title" : "Coding for Chemists", "item_author" : [" Christopher J. Johnson", "Benjamin J. Lear "], "item_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 chemistsAssumes no prior knowledge of codingEnsures that each concept introduced is immediately useful to the readerTackles key pain points familiar to any advanced undergraduate chemistry student with usable code", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/26/205/448/0262054485_b.jpg", "price_data" : { "retail_price" : "125.00", "online_price" : "125.00", "our_price" : "125.00", "club_price" : "125.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Coding for Chemists|Christopher J. Johnson

Coding for Chemists : Saving Time and Solving Problems with Python

local_shippingShip to Me
On Order. Usually ships in 2-4 weeks
FREE Shipping for Club Members help

Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9780262054485
  • ISBN-10: 0262054485
  • Publisher: University Science Books
  • Publish Date: April 2026
  • Page Count: 488

Related Categories

You May Also Like...

    1

BAM Customer Reviews