From 99be84e13252a4f90ba4f32ea577b1e8e0e559bf Mon Sep 17 00:00:00 2001
From: Tamas Gal <himself@tamasgal.com>
Date: Fri, 21 Apr 2023 15:14:35 +0200
Subject: [PATCH] Update readme

---
 README.md | 20 ++++++--------------
 1 file changed, 6 insertions(+), 14 deletions(-)

diff --git a/README.md b/README.md
index 6557a11e..c1a8c25d 100644
--- a/README.md
+++ b/README.md
@@ -24,6 +24,11 @@ This allows `KM3io.jl` to be completely free from these external dependencies.
 The library is still under development so that the API might slightly change.
 Feedback and contributions are highly welcome!
 
+# Documentation
+
+Check out the **[Latest Documention](https://common.pages.km3net.de/KM3io.jl/dev)**
+which also includes tutorials and examples.
+
 # Installation
 
 `KM3io.jl` is not an officially registered Julia package but it's available via
@@ -53,17 +58,4 @@ OfflineTree (10 events)
 julia> some_event = f.offline[3]
 KM3io.Evt (3680 hits, 28 MC hits, 38 tracks, 12 MC tracks)
 
-# TODOs
-
-These are mostly low-hanging fruits, so feel free to contribute! `;)`
-
-- [ ] Best track selection (cf. the implementation in [km3io](https://git.km3net.de/km3py/km3io/-/blob/b71300ff1364394d01323a732585f0a8dae303b1/src/km3io/tools.py#L203) or [KM3NeT Dataformat](https://git.km3net.de/common/km3net-dataformat/-/blob/881972133aa0fda809d06c97d9736d346dd35efb/tools/reconstruction.hh#L374), latter being much more closer to the Julia implementation since we don't need all the fancy masking/slicing magic as in Python)
-- [ ] Hit calibration for the offline format: fairly straight forward
-- [ ] Event+Summaryslice matching: for a given event, return the correct summaryslice to be able to query the most recent PMT rates
-- [ ] Optimise type hierarchy
-- [ ] Examples!
-
-
-# Acknowledgements
-
-Thanks for Johannes Schumann for providing the awesome project logo!
+```
-- 
GitLab