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https://github.com/jozefg/learn-tt

A collection of resources for learning type theory and type theory adjacent fields.
https://github.com/jozefg/learn-tt

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A collection of resources for learning type theory and type theory adjacent fields.

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README

        

# learn-tt

Lots of people seem curious about type theory but it's not at all
clear how to go from no math background to understanding "Homotopical
Patch Theory" or whatever the latest cool paper is. In this repository
I've gathered links to some of the resources I've personally found
helpful.

## A Disclaimer

At this point `learn-tt` is a few years old and I can write with slightly more confidence than when
I first created this document. I still stand by the fact that the links in this list have helped me
learn ideas that would have been difficult to find elsewhere. At the same time, I worry that this
list carries more of a ring of authority than I wish it did, particularly now that it is relatively
popular. I learn more about type theory every day (admittedly, some days more slowly than I wish)
and my views on what constitutes a good explanation, a good approach, or even a good type theory
have changed in small and large ways since I first compiled these resources.

I toyed with the idea of deleting this repository because I have worried whether or not presenting
my own learning path does more harm than good. I have decided to leave it around but to add a
disclaimer instead.

> What follows below should not be construed as some _blessed path_ for learning type theory. You
> may find it better to skim this list or simply snort and ignore it entirely. My process for
> learning continues to be distinctly wandering and non-linear. Someone with different goals than me
> would find some of these links useless and I would not be nearly so bold as to claim that these
> resources are canonical, necessary, or even helpful for everyone. I can only hope that you enjoy
> reading them as much as I have.
>
> Danny

## The Resources

### Textbooks

- Practical Foundations of Programming Languages (PFPL)

I reference this more than any other book. It's a very wide
ranging survey of programming languages that assumes very little
background knowledge. A lot people prefer the next book I mention
but I think PFPL does a better job explaining the foundations it
works from and then covers more topics I find interesting.

* [Online copy (2nd Edition Preview)](https://web.archive.org/web/20230619030940/https://www.cs.cmu.edu/~rwh/pfpl/2nded.pdf)
* [Dead-tree copy (2nd Edition)](https://www.amazon.com/Practical-Foundations-Programming-Languages-Robert/dp/1107150302)

- Types and Programming Languages (TAPL)

Another very widely used introductory book (the one I learned
with). It's good to read in conjunction with PFPL as they
emphasize things differently. Notably, this includes descriptions
of type inference which PFPL lacks and TAPL lacks most of PFPL's
descriptions of concurrency/interesting imperative languages. Like
PFPL this is very accessible and well written.

* [Online supplements](http://www.cis.upenn.edu/~bcpierce/tapl/)
* [Dead-tree copy](https://mitpress.mit.edu/books/types-and-programming-languages)

- Advanced Topics in Types and Programming Languages (ATTAPL)

Don't feel the urge to read this all at once. It's a bunch of fully
independent but excellent chapters on a bunch of different
topics. Read what looks interesting, save what doesn't. It's good
to have in case you ever need to learn more about one of the
subjects in a pinch.

* [Online supplements](http://www.cis.upenn.edu/~bcpierce/attapl/)
* [Dead-tree copy](http://www.amazon.com/exec/obidos/ASIN/0262162288/benjamcpierce)

### Proof Assistants

One of the fun parts of taking in an interest in type theory is that
you get all sorts of fun new programming languages to play with. Some
major proof assistants are

- Coq

Coq is one of the more widely used proof assistants and has the
best introductory material by far in my opinion.

* [Official site](https://coq.inria.fr/)
* [Software Foundations](http://www.cis.upenn.edu/~bcpierce/sf/current/index.html)
* [Certified Programming with Dependent Types](http://adam.chlipala.net/cpdt/)
* [The paper on the calculus of constructions](https://hal.inria.fr/inria-00076024/document)
* [A paper on the calculus of inductive constructions](https://hal.inria.fr/hal-01094195/document) (What Coq
is based on)
- Lean

Lean is one of the newer proof assistants on the scene. To be perfectly honest I haven't done a
lot of proving in Lean yet but it seems neat. (If you have any resources you'd like to add to
this list, please let me know)

- [Official site](https://leanprover.github.io)
- [Logic and Proof Textbook](https://leanprover.github.io/logic_and_proof/)

- Agda

Agda is in many respects similar to Coq, but is a smaller language
overall. It's relatively easy to learn Agda after Coq so I
recommend doing that. Agda has some really interesting advanced
constructs like induction-recursion.

* [Official site](http://wiki.portal.chalmers.se/agda/pmwiki.php)
* [Tutorial](http://www.cse.chalmers.se/~ulfn/papers/afp08/tutorial.pdf)
* [Records tutorial](http://wiki.portal.chalmers.se/agda/pmwiki.php?n=ReferenceManual.RecordsTutorial)
* [Conor McBride's](https://github.com/pigworker/MetaprogAgda) [fun Agda code](https://github.com/pigworker/CS410-14)
* [Martín Hötzel Escardó's notes on Univalent Mathematics in Agda](https://www.cs.bham.ac.uk/~mhe/HoTT-UF-in-Agda-Lecture-Notes/HoTT-UF-Agda.html)

- Idris

It might not be fair to put Idris in a list of "proof assistants"
since it really wants to be a proper programming language. It's
one of the first serious attempts at writing a programming
language with dependent types *for actual programming* though.

* [Official site](http://idris-lang.org/)
* [An actual introductory book](https://www.manning.com/books/type-driven-development-with-idris)
* [Quick tutorial](http://docs.idris-lang.org/en/latest/tutorial/index.html#tutorial-index)
* [A list of talks on Idris](https://www.youtube.com/watch?v=O1t4xJzrOng)
* [David Christiansen's cool talk](https://www.youtube.com/watch?v=dP2imvL92sY)

- Twelf

Twelf is by far the simplest system in this list, it's the
absolute minimum a language can have and still be dependently
typed. All of this makes it easy to pick up, but there are very
few users and not a lot of introductory material which makes it a
bit harder to get started with. It does scale up to serious use
though.

* [Official site](http://twelf.org/)
* [Wiki Tutorials](http://twelf.org/wiki/Tutorials)
* [My tutorial](http://jozefg.bitbucket.io/posts/2015-02-28-twelf.html)
* [The paper on LF, the underlying system of Twelf](http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.5854)

### Type Theory

- The Works of Per Martin-Löf

Per Martin-Löf has contributed a *ton* to the current state of
dependent type theory. So much so that it's impossible to escape
his influence. His papers on Martin-Löf Type Theory (he called it
Intuitionistic Type Theory) are seminal.

If you're confused by the papers above read the book in the next
entry and try again. The book doesn't give you as good a feel for
the various flavors of MLTT (which spun off into different areas
of research) but is easier to follow.

* [1972](https://github.com/michaelt/martin-lof/blob/master/pdfs/An-Intuitionistic-Theory-of-Types-1972.pdf?raw=true)
* [1979](https://github.com/michaelt/martin-lof/blob/master/pdfs/Constructive-mathematics-and-computer-programming-1982.pdf?raw=true)
* [1984](https://github.com/michaelt/martin-lof/blob/master/pdfs/Bibliopolis-Book-retypeset-1984.pdf?raw=true)
* [The Complete Works of Per Martin-Löf](https://github.com/michaelt/martin-lof)

- Programming In Martin-Löf's Type Theory

It's good to read the original papers and here things from the
horses mouth, but Martin-Löf is much smarter than us and it's nice
to read other people explanations of his material. A group of
people at Chalmers have elaborated it into a book.

* [Online link](http://www.cse.chalmers.se/research/group/logic/book/book.pdf)

- The Works of John Reynolds

John Reynolds' works are similarly impressive and always a pleasure
to read.

* [Types, Abstraction and Parametric Polymorphism](http://www.cse.chalmers.se/edu/year/2010/course/DAT140_Types/Reynolds_typesabpara.pdf) (Parametricity for
System F)
* [A Logic For Shared Mutable State](http://www.cs.cmu.edu/~jcr/seplogic.pdf)
* [Course notes on separation logic](http://www.cs.cmu.edu/afs/cs.cmu.edu/project/fox-19/member/jcr/www15818As2011/cs818A3-11.html)
* [Course notes on denotational semantics](http://www.cs.cmu.edu/~jcr/cs819-00.html)

- Homotopy Type Theory

A new exciting branch of type theory. This exploits the connection
between homotopy theory and type theory by treating types as
spaces. It's the subject of a lot of active research but has some
really nice introductory resources even now.

* [The HoTT book](http://homotopytypetheory.org/book/)
* [Student's Notes on HoTT](https://github.com/RobertHarper/hott-notes)
* [Materials for the Schools and Workshops on UniMath](https://github.com/UniMath/Schools)

### Proof Theory

- Frank Pfenning's Lecture Notes

Over the years, Frank Pfenning has accumulated lecture notes that
are nothing short of heroic. They're wonderful to read and almost
as good as being in one of his lectures.

* [Introductory Course](http://www.cs.cmu.edu/~fp/courses/15317-f09/)
* [Linear Logic](http://www.cs.cmu.edu/~fp/courses/15816-s12/)
* [Modal Logic](http://www.cs.cmu.edu/~fp/courses/15816-s10/)

- Jean-Yves Girard's Books

Girard, one of the most influential logicians of our time, has
written several excellent texts on proof theory and logic. My
ability to appreciate them is somewhat hampered by a language
barrier but what work is available in English I have enjoyed.

* [Proofs and Types](http://www.paultaylor.eu/stable/prot.pdf)
* [The Blind Spot: Lectures on Logic](http://www.ems-ph.org/books/book.php?proj_nr=136&srch=browse_authors%7CGirard%2C+Jean-Yves)
* [Mustard Watches: An Integrated Approach to Time and Food](http://girard.perso.math.cnrs.fr/mustard/page1.html)

### Category Theory

Learning category theory is necessary to understand some parts of type
theory. If you decide to study categorical semantics, realizability,
or domain theory eventually you'll have to buckledown and learn a
little at least. It's actually really cool math so no harm done!

- Category Theory in Context

A newly released textbook on category theory with a focus on using
representable functors as a tool to place various concepts of
category theory in a coherent framework. This has the substantial
advantage of being freely available online! It's also published by
Dover so the actual book itself is remarkably cheap.

* [Online version](http://www.math.jhu.edu/~eriehl/context.pdf)
* [Dead-tree version](http://store.doverpublications.com/048680903x.html)
* [The author's post on the book](https://golem.ph.utexas.edu/category/2016/11/category_theory_in_context.html)

- Practical Foundations of Mathematics

This books does an excellent job of tying together general
mathematics into the framework of category theory. It is
accordingly covers a large basis of *math* outside of the field of
category theory. It contains a large amount of categorical logic
which warrants its inclusion in this list and is one of the more
approachable texts on categorical logic. At least for me.

* [HTML version](http://www.paultaylor.eu/~pt/prafm/)
* [Dead-tree version](https://www.amazon.com/gp/product/0521631076)

- Category Theory

One of the better introductory books to category theory in my
opinion. It's notable in assuming relatively little mathematical
background and for covering quite a lot of ground in a
readable way.

* [Dead-tree version](http://www.amazon.com/Category-Theory-Oxford-Logic-Guides/dp/0199237182/ref=sr_1_1?ie=UTF8&qid=1439348930&sr=8-1&keywords=awodey+category+theory)

- Ed Morehouse's Category Theory Lecture Notes

Another valuable piece of reading are these lecture notes. They
cover a lot of the same areas as "Category Theory" so they can help
to reinforce what you learned there as well giving you some of
the author's perspective on how to think about these things.

* [Online copy](https://emorehouse.wescreates.wesleyan.edu/research/notes/intro_categorical_semantics.pdf)

- Categorical Logic and Type Theory

This book is honestly quite difficult to get through, but it's an
absolutely indispensable resource for folks interested in
categorical logic. More generally, this book contains one of the
few coherent and comprehensive accounts of how to model type theory
categorically. It is *not* a book to learn category theory or type
theory from, it demands a good understanding of both since it's
focused on applying category theory, not explaining it so
much. This is also the book to read if you're interested in
understanding the theory of fibered categories in general (the
style of categorical semantics that it uses).

* [Jacob's thesis, containing much of what went into the book](http://www.cs.ru.nl/B.Jacobs/PAPERS/PhD.ps)
* [A definitely not suspicious online copy](https://people.mpi-sws.org/~dreyer/courses/catlogic/jacobs.pdf)
* [Dead-tree copy](https://www.amazon.com/exec/obidos/ASIN/0444501703/qid%3D922441598/002-9790597-0750031)

- Introduction to Higher-Order Categorical Logic

This is a relatively short book on categorical logic that
introduces all the basic concepts you needed to model simple
higher-order logics in category theory. It is *much* easier reading
than Categorical Logic and Type Theory but correspondingly less
comprehensive. It focuses mainly on modeling the simply typed
lambda calculus in cartesian closed categories and then on
modeling a richer type theory internally to a topos. It provides a
basic explanation of topos theory so it's intelligible having read
an introductory category theory book.

* [Dead-tree copy](https://www.amazon.com/Introduction-Higher-Order-Categorical-Cambridge-Mathematics/dp/0521356539/ref=pd_sim_14_5?_encoding=UTF8&psc=1&refRID=V4H286NSZWK4MWDPV17R)

- Sheaves in Geometry and Logic

This is not an ideal first book on category theory by any
stretch. It merits inclusion because there are deep and interesting
relationships between topos theory and type theory and this is one
of the more approachable introductions. Some knowledge of topology
would be helpful in understanding some of the examples in this
books but I am told it is possible to muscle your way through
without it.

* [Dead-tree version](https://www.amazon.com/Sheaves-Geometry-Logic-Introduction-Universitext/dp/0387977104)

### Other Goodness

- Gunter's "Semantics of Programming Language"

While I'm not as big a fan of some of the earlier chapters, the
math presented in this book is absolutely top-notch and gives a
good understanding of how some cool fields (like domain theory)
work.

* [Dead-tree version](http://www.amazon.com/Semantics-Programming-Languages-Structures-Foundations/dp/0262071436/ref=sr_1_1?ie=UTF8&qid=1439349219&sr=8-1&keywords=gunter+semantics+of+programming+languages)

- Abramsky and Jung's "Domain Theory"

This what I reference nowadays for domain theory. It's a very good
(if a little dense) introduction covering all the basic mathematics
necessary to work with domains productively. It should definitely
be possible to follow if you've read some of Gunter's book.

- [CiteSeerX link](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.8851)

- Realizability: An Introduction to Its Categorical Side

Categorical realizability is a fascinating area of overlap between
type theory and category theory that, frustratingly, lacks many
approachable introductions. van Oosten's book does a good job going
through the basic aspects of categorical realizability. It is
heavily dependent on knowledge of category theory though, I would
recommend making it through Sheaves and Geometry and Logic (see
above) or something equivalent first.

* [Dead-tree version](https://www.amazon.com/Realizability-Introduction-its-Categorical-Side/dp/0444550208)

- OPLSS

The Oregon Programming Languages Summer School is a 2 week long
bootcamp on PLs held annually at the university of Oregon. It's a
wonderful event to attend but if you can't make it they record all
their lectures anyways! They're taught be a variety of lecturers
but they're all world class researchers.

* [2012](https://www.cs.uoregon.edu/research/summerschool/summer12/curriculum.html)
* [2013](https://www.cs.uoregon.edu/research/summerschool/summer13/curriculum.html)
* [2014](https://www.cs.uoregon.edu/research/summerschool/summer14/curriculum.html)
* [2015](https://www.cs.uoregon.edu/research/summerschool/summer15/curriculum.html)
* [2016](https://www.cs.uoregon.edu/research/summerschool/summer16/curriculum.php)
* [2017](https://www.cs.uoregon.edu/research/summerschool/summer17/topics.php)
* [2018](https://www.cs.uoregon.edu/research/summerschool/summer18/topics.php)