Calculus and statistics

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1. rramadassAug 2026
   Some good books for introductory Calculus;

   1) Calculus: Basic Concepts for High Schools by Lev Tarasov. Soviet-era book written as a dialogue between the author and reader. Absolutely fantastic (also see his other books on Probability etc.) - https://mirtitles.org/2018/09/04/calculus-basic-concepts-for...

   2) Calculus: An Intuitive and Physical Approach by Morris Kline. A classic; any book by Morris Kline is a must-have - https://store.doverpublications.com/products/9780486404530

   3) Calculus: The Princess of Mathematics by H.C.Verma et al. A two-vol must-have affordable set. The author is a well-known Indian Physics professor and this is written specifically for students to "understand" calculus i.e. it is not a typical textbook. - https://garudalife.in/calculus-the-princess-of-mathematics-v...

   4) How to Think about Analysis by Lara Alcock. Provides conceptual insight like the Tarasov book above. Checkout the author's other books too. - https://global.oup.com/academic/product/how-to-think-about-a...

   I believe we need to study Calculus alongside Probability/Statistics nowadays due to their pervasive use in ML/AI/etc. To that end;

   a) Methods of Mathematics Applied to Calculus, Probability, and Statistics by Richard Hamming. It is by Hamming so one of the best. - https://store.doverpublications.com/products/9780486439457?_...

   b) Calculus and Statistics by Michael Gemignani. Similar to the above - https://store.doverpublications.com/products/9780486449937

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2. dxbydtFeb 2022
   Saville is a fantastic book. You may like Gemignani’s “Calculus and Statistics” - in the same spirit. Mostly combined problems in high school level stat and calculus, going back and forth between the 2 subjects.
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3. kenjacksonDec 2011
   There is SICP.

   For distributed systems I'd read Lynch's book on Distributed Algorithms.

   For stats Michael Freedman's book, Statistics, is a good simple introduction. Someone mentioned Calculus and Statistics (http://www.amazon.com/Calculus-Statistics-Dover-Books-Mathem...) here on HN a couple of weeks ago. I had looked it when it came out and re-reviewed it with that thread -- I really like it a fair bit more than I remember and a better text for those looking for a more rigorous treatment than Freedman -- although probably still too simple if you're reading Foundations of Statistical NLP.

   There's also Scott's book on Programming Languages, which is worth reading.

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