How to Think About Analysis
How to Think About Analysis by Lara Alcockby Lara Alcock
Shares rank 14 of 20 mathematics textbooks by recommenders
People recommend it as a conceptual guide to real analysis, with a table of contents that helps readers see how the subject fits together.
People recommend it as a conceptual guide to real analysis, with a table of contents that helps readers see how the subject fits together.
3 people gave an opinion
- recommend it
- 3
- criticize it
- 0
- approval share
- 100%
Recommended in 2 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: recommended
- September 2026: not recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 3 people recommend itNeeds 10 or more, not met.
- Nobody criticizes itNeeds 2 to 1 or better, met.
- Recommended in 2 of 13 monthsNeeds 4 or more, not met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Conceptual insight into analysis
“Provides conceptual insight like the Tarasov book above.”
Comment from 15 Aug 2026 in “Simplifying and Refactoring Introductory Calculus” Helpful table of contents
“Table of contents look really helpful to understanding.”
Comment from 23 Apr 2026 in “Fundamental Theorem of Calculus” Wished they had it when studying
“this book - "How to Think About Analysis" by Lara Alcock is the book I wish I had when I studied it”
Comment from 23 Apr 2026 in “Fundamental Theorem of Calculus”
Other mathematics textbooks people recommend
The four most recommended other mathematics textbooks, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Algorithms for Optimizationby Kochenderfer and Wheeler | 10 | 1 | 91% | 1 | — | — |
| Mathematics for Computer Scienceby Lehman, Leighton and Meyer | 8 | 4 | 67% | 1 | — | — |
| Numerical Recipesby Press et al. | 7 | 1 | 88% | 5 | — | — |
| Concrete Mathematicsby Graham, Knuth and Patashnik | 7 | 0 | 100% | 4 | — | — |
| How to Think About Analysisby Lara AlcockThis page | 3 | 0 | 100% | 2 | — | — |
What people said
All 3 comments that mention it, newest first. Each links to the original comment.
“Provides conceptual insight like the Tarasov book above.”
“Table of contents look really helpful to understanding.”
“this book - "How to Think About Analysis" by Lara Alcock is the book I wish I had when I studied it”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.