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Rating: 
Summary: A (quasi) masterpiece
Review: 4 stars, which actually means 4.5. I don't rate it the maximum, because I think it lacks a couple of things to be perfect.
The pros:
1. the theory is built from the very ground up to the "ante-room", so to speak, of further and more advanced developments in abstract measure theory and functional analysis, in a deeply logical and clear way with the highest economy of words and of thought. From this viewpoint, for example, I don't see the fact of setting the theory in the R^n environment as a weakness: on the contrary, since it results from a deliberate choice of the authors, it actually ends up in an element of strength, because the reader/learner can take all the time he/she needs to become familiar with the "exact integration" approach of Lebesgue (which is *completely* different from Riemann's), and to visualize how things are going by using the familiar multivariable environment of R^n.
In other words: the reader can take all the time he/she needs to learn to swim, before he/she actually has to swim on the much longer and more difficult track of abstract measure theory (as a branch of functional analysis). I believe such a gradual approach to be better than a direct one, where from the very first page you are thrown into abstract measure theory, with the risk of being almost completely unable to understand what all that stuff is about.
2. The almost perfect way in which the authors build the theory and logically argument actually makes the book a fantastic school to learn the deep essence of the axiomatic method. This is its greatest strength, in my opinion: that is, the fact that in carefully going through the definitions, lemmas, theorems and corollaries (and in fact *working out* them) you can actually learn what the essence of correct mathematical thinking is. As long as I can remember, there are only a couple of other books, at the same level of this one, which are as good: i.e., Rudin 1 & 2 (the "Principles" and "R&C Analysis") and Einar Hille's "Lectures on Ordinary Differential Equations" (too bad it's definitely out of print. It would be such a great thing to have it reprinted in some economic edition).
The cons:
1. The Theorem of Integration by Substitution isn't demonstrated at all, with the possible exception of a particular case in the problems. Since it is a fundamental result and since its demonstration can be very enlightening from a geometric point of view, I think this is a weakness.
2. The part about Indefinite Integral and Differentiation (Vitali's Covering Lemma, and all the results deriving from it) isn't on the same level of the preceding chapters, and isn't as clear and well built as it is on Royden's "Real Analysis" (another great book): maybe because in the latter it fits naturally into the rest of the book (which is, in the first chapters where the theory is built from the foundations, intrinsically one-dimensional) as a necessary development of what comes before, while in Wheeden-Zygmund it seems to be forced in a book which, until that point, had been developing in an intrinsically multi-dimensional way: and this cannot happen at no cost.
Everything considered, it's worth its price (which, btw, is a little too high for a book of less than 300 pages ;) )
Rating: 
Summary: a good book for first-year graduate students in analysis
Review: In general I liked this book and thought it had many good problems to learn analysis from. One aspect I did not like is the authors exclusive use of R^n as the underlying space. The proofs would have been alot nicer had they introduced the concept of a sigma algebra over a set. Also, I thought the authors should have provided more information on transforms,since they are very important in engineering. A better book is Rudin's "Real and Complex Analysis"
Rating:
Summary: a good book for first-year graduate students in analysis
Review: In general I liked this book and thought it had many good problems to learn analysis from. One aspect I did not like is the authors exclusive use of R^n as the underlying space. The proofs would have been alot nicer had they introduced the concept of a sigma algebra over a set. Also, I thought the authors should have provided more information on transforms,since they are very important in engineering. A better book is Rudin's "Real and Complex Analysis"
Rating:
Summary: A good textbook for new learners
Review: This book uses both classical and abstract approaches to introduce Lebesgue measure and integral. It starts with the classical approach and bases its presentation on Euclidean space. This makes it easier for new learners like me since it is more intuitive. In later chapters an abstract approach is also used. I find this repetition natural and helpful. This book has almost no typo. Its exercises are reasonably challenging.It could be improved in page layout if the end of each proof is clearly indicated.
Rating:
Summary: An excellent choice
Review: This is the book we used when I was a grad student. This is indeed quite a nicely written book: logical progression of concepts, a large number of exercises of varying difficulty (hard ones have hints) and no typos (always a big plus with me). All the classical results are included. My only suggestions to make this book better would be to have some longer discussions of the concepts introduced to break the litany of definition-theorem-proofs and to include historical notes. This would make this book a little bit less dry and an even more enjoyable read. Nevertheless, this is one of the best books on the subjects, better than the book by Royden which is also used by some professors.
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