Programming in Python empowers chemists to apply their domain knowledge to scales unreachable by manual effort. Learning Python is easy, but contextualizing chemical problems in Python is not always obvious. Readers of this primer develop the skill to identify problems in their research for which code may automate operations and scale a large volume of data or calculation. In addition, the authors shorten the time from “learning” to “using” Python through meaningful problem sets in Chapter One.