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README.md
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# Awesome maths
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A curated list of awesome mathematics resources.
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A curated list of awesome mathematics resources.
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# General resources
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## Learning platforms
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* [Khan Academy](https://www.khanacademy.org/math)
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* [Coursera](https://www.coursera.org/courses?query=mathematics&languages=en)
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* [MIT OpenCourseWare](http://ocw.mit.edu/courses/mathematics/)
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* [edX](https://www.edx.org/course/subject/math)
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## Questions and answers
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* [Mathematics Stack Exchange](http://math.stackexchange.com/)
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* [MathOverflow](http://mathoverflow.net/) - for professional mathematicians
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## Encyclopedia
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* [Encyclopedia of Mathematics](https://www.encyclopediaofmath.org)
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* [Wolfram Mathworld](http://mathworld.wolfram.com/)
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* [Planetmath](http://planetmath.org/)
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## Books
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* [Basics of Algebra, Topology, and Differential Calculus](http://www.cis.upenn.edu/~jean/math-basics.pdf) - Jean Gallier (University of Pennsylvania)
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* [Wikibooks](https://en.wikibooks.org/wiki/Wikibooks:Mathematics_bookshelf)
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## Misc
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* [Areas of mathematics on Wikipedia](https://en.wikipedia.org/wiki/Areas_of_mathematics)
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# Lecture notes and ebooks
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## Foundations of mathematics
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## Foundations of mathematics
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### Set theory
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### Set theory
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* [The Elements of Statistical Learning](http://web.stanford.edu/~hastie/Papers/ESLII.pdf) - Trevor Hastie, Robert Tibshirani, Jerome Friedman
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* [The Elements of Statistical Learning](http://web.stanford.edu/~hastie/Papers/ESLII.pdf) - Trevor Hastie, Robert Tibshirani, Jerome Friedman
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* [Statistical Learning Theory](https://web.stanford.edu/class/cs229t/notes.pdf) - Percy Liang
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* [Statistical Learning Theory](https://web.stanford.edu/class/cs229t/notes.pdf) - Percy Liang
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## Numerical Analysis
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## Numerical Analysis
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* [Introduction to Numerical Analysis](http://www.math.umd.edu/~dlevy/books/na.pdf) - Doron Levy (University of Maryland)
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* [Introduction to Numerical Analysis](http://www.math.umd.edu/~dlevy/books/na.pdf) - Doron Levy (University of Maryland)
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* [Numerical Analysis](http://people.cs.uchicago.edu/~ridg/newna/nalrs.pdf) - L. Ridgway Scott
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* [Numerical Analysis](http://people.cs.uchicago.edu/~ridg/newna/nalrs.pdf) - L. Ridgway Scott
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* [Lectures In Basic Computational Numerical Analysis](http://www.engr.uky.edu/~acfd/egr537-lctrs.pdf) - J. M. McDonough (University of Kentucky)
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* [Lectures In Basic Computational Numerical Analysis](http://www.engr.uky.edu/~acfd/egr537-lctrs.pdf) - J. M. McDonough (University of Kentucky)
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* [Advanced Numerical Methods and Their Applications to Industrial Problems: Adaptive Finite Element Methods](http://www.math.uni-bremen.de/~schmidt/SS04/YSU_Notes.pdf) - Alfred Schmidt, Arsen Narimanyan
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* [Advanced Numerical Methods and Their Applications to Industrial Problems: Adaptive Finite Element Methods](http://www.math.uni-bremen.de/~schmidt/SS04/YSU_Notes.pdf) - Alfred Schmidt, Arsen Narimanyan
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## Computer algebra
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* []()
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* []()
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* []()
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* []()
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* []()
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* []()
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# Websites
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## Learning platforms
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* [Khan Academy](https://www.khanacademy.org/math)
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* [Coursera](https://www.coursera.org/courses?query=mathematics&languages=en)
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* [Wikibooks](https://en.wikibooks.org/wiki/Wikibooks:Mathematics_bookshelf)
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## Questions and answers
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* [Mathematics Stack Exchange](http://math.stackexchange.com/)
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* [MathOverflow](http://mathoverflow.net/) - for professional mathematicians
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## Encyclopedia
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* [Encyclopedia of Mathematics](https://www.encyclopediaofmath.org)
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* [Wolfram Mathworld](http://mathworld.wolfram.com/)
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* [Planetmath](http://planetmath.org/)
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## Misc
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* [Areas of mathematics on Wikipedia](https://en.wikipedia.org/wiki/Areas_of_mathematics)
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# Books
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* [Basics of Algebra, Topology, and Differential Calculus](http://www.cis.upenn.edu/~jean/math-basics.pdf) - Jean Gallier (University of Pennsylvania)
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# Online courses and MOOCs
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# Videos
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