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What are really helpful math resources out there on the web?

Please don't only post a link but a short description of what it does and why it is helpful.

Please only one resource per answer and let the votes decide which are the best!

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39 Answers

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http://www.wikipedia.org

I have learned a lot of mathematics while reading Wikipedia. Allowing a wide audience to contribute to articles seems to work out well in the case of mathematics.

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I use http://arxiv.org/ all the time.

Researchers post their articles here, so it is a great way to see if anyone have already a proof or an idea on something. Some people regularly access it through

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and they have rss feeds! – Andreas Holmstrom Oct 25 at 4:56
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For enumerative combinatorics, it's hard to beat Sloane's Online Encyclopedia of Integer Sequences.

It is what it says on the tin. A huge list of integer sequences, with references, links, formulas, and comments.

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Everything by John Baez. In particular This Week's Finds in Mathematical Physics, the n-Category Cafe, and the n-Lab. He has an amazing ability to make even the most esoteric topics seem obvious and inevitable.

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Mathscinet, which contains summaries and reviews of published research papers. It's very useful when you want to get an idea of a paper without having to read it, and contains almost every paper ever published.

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Of course every mathematician should be familiar with this. Be glad you are doing it today. Back in the day I would have to walk to the library, search through multiple index volumes of Math Reviews, and maybe find what I wanted. But I still did it once a week or so... – Gerald Edgar Oct 28 at 13:51
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Beyond the reviews at MathSciNet one of the most beautiful features of the website is that it allows you to page back and forward through the history of the topic at hand. You're reading the review and you can click on the link that offers you the papers that cite this paper. So if you happen across an old paper that's concerned with a topic you're interested in, and want to know if anyone has done anything more recently on that topic, you're just a click away. I don't know when that feature was added but when I was a young mathematician I would have killed for that feature. – Ryan Budney Nov 5 at 4:15
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http://jmilne.org has lots of systematic, well-written courses.

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http://books.google.com/

If you haven't figured this out already, you can read large portions of textbooks before you buy them to decide if they're what you need. (If you actually want free books, there's a separate question that addresses that.)

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http://scholar.google.com/

Allows you to search for research articles. Gives you direct links to all online versions of the article it can find. Strenghts include that it can often give you direct links to files hidden on obscure (non-arXiv) preprint servers or personal webpages, and if you sit on a computer with access to ScienceDirect, Springerlink etc, you get direct links to these artices, via your university library. Weaknesses include lots of errors due to the reliance on their "intelligent" search engine rather than correct metadata from publishers, but this is likely to improve over time.

To find what you really are looking for use the author tag, for example "infinite loop author:May" etc.

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Terence Tao blog

contains a lot of useful advice for people at various stages in their careers. In addition it contains a lot of discussions and explanations of the math that I find interesting.

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MIT OpenCourseWare

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I occasionally find mathoverflow.net rather helpful.

In particular, there's a good list of answers to your specific question here.

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Don't forget http://gigapedia.com/ for tons of e-books.

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Several people have flagged this answer as requiring moderator attention. Please use your own judgement as to the legality of any site on the internet, and remember linking is always okay. – Scott Morrison Mar 8 at 2:24
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Videos from MSRI.

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The Tricki

Quoting the site:

"Welcome to a brand new Wiki-style site that is intended to develop into a large store of useful mathematical problem-solving techniques. Some of these techniques will be very general, while others will concern particular subareas of mathematics. All of them will be techniques that are used regularly by mathematical problem-solvers, at every level of experience."

http://www.tricki.org/

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http://mathworld.wolfram.com/

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http://wiki.henryfarrell.net/wiki/index.php/Mathematics/Statistics

Large list of math blogs. Highly recommended in particular are Terence Tao's and Tim Gowers'.

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http://eom.springer.de

Very good articles with lots of references! (never mind the .de, it's in English!)

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http://maths.dept.shef.ac.uk/magic/index.php

Apparently UK has been building a depository/interactive system for graduate math courses. Click on "courses" to access archives. Many have lecture notes and other materials.

I found this recently. Have not actually personally used it, but potentially very useful.

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A similar "access grid" network comprises the Universities of Bath, Bristol, Oxford, Warwick and Imperial College London. The main site (which includes links to archived course material) can be found at tcc.maths.ox.ac.uk. – Nicholas Jackson Oct 24 at 11:04
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The Art of Problem Solving

Mostly for the student, including high school. But has more advanced forums, too. Latex easily used.

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The nLab is an excellent resource, often containing more detail, explanation, and discussion than wikipedia, along with much more specialized and contemporary topics.

(nLab was mentioned in the answer by Justin Hilburn, but it was listed there after other resources, and I think people scanning under the one-resource-per-answer dictum will miss it.)

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The open source software package SAGE at sagemath.org can calculate, well, almost anything you want. The mission of the SAGE group is: Creating a viable free open source alternative to Magma, Maple, Mathematica and Matlab.

The most useful resource online is www.sagenb.org, where one can log in and use SAGE online, without having to install any software.

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http://www.wolframalpha.com/

I'm just adding Wolfram Alpha to the fray so it can be voted on like other suggestions. For people who haven't heard of it, it's an online computational engine.

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Paul Stuart says: I think Wolfram Alpha is just a waste of computational effort. Whatever comes from the Wolfram corner I'd be wary. It ranges from acclaimed proofs to acclaimed "correct computation". Note they are infamous for making claims or assertions that aren't true. So, think twice. – Anton Geraschenko Nov 6 at 18:21
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dimitry (user 1087) says: @Qiaochu: That's just simply sad news altogether. There is a good point raised by Paul Stuart and that is the point raised about reliability. Wolfram Alpha, is a black box. God knows how reliable its answers are. If I aint completely sure, Wolfram had been (not unfairly) accused of being sloppy in many of his claims in his previous work on ANKS. If this is based on work in ANKS I'd be wary too. – Anton Geraschenko Nov 6 at 18:25
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Free downloadable (and streaming) video lectures from the Institute for Advanced Study at Princeton: http://video.ias.edu/

Not exactly a resource, but a great way to listen to talks given by experts on the latest results in Computer Science and Math.

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David Ben-Zvi takes electronic notes on the talks he attends and posts them publicly. This can often be the best source of information for a subject which has not yet been written down.

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I am surprised nobody yet have put pointers to books and papers. For older stuff you can find a lot at Gottingen Digital Library, Numdam and JSTOR.

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http://www.physicsforums.com/

Hosts high-level maths discussions, forums have inline LaTeX rendering.

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Alexandre Stefanov keeps an extensive list of free math books / lecture notes. The list is divided according to subject and updated frequently. I have found some very nice books there.

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Detexify is a quick and easy way to find the name of a LaTeX symbol.

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Many free Mathematics e-books are available to view and/or download here.

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I don't know if this reference is of sufficient generality:

Finite Calculus: A Tutorial for Solving Nasty Sums
http://www.stanford.edu/~dgleich/publications/finite-calculus.pdf

It is only a paper, but it describes the methods of the so-called "umbral calculus": a really useful technique to know.

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