Merge pull request #12 from nschloe/fix-links

fix some links

CODE_OF_CONDUCT.md

@@ -68,10 +68,10 @@ members of the project's leadership.
 ## Attribution
 
 This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
-available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
+available at https://www.contributor-covenant.org/version/1/4/code-of-conduct/
 
-[homepage]: https://www.contributor-covenant.org
+[homepage]: https://www.contributor-covenant.org/
 
 For answers to common questions about this code of conduct, see
-https://www.contributor-covenant.org/faq
+https://www.contributor-covenant.org/faq/
 

Makefile

@@ -3,7 +3,7 @@ VERSION=$(shell python3 -c "from configparser import ConfigParser; p = ConfigPar
 default:
 	@echo "\"make publish\"?"
 
-# https://packaging.python.org/tutorials/packaging-projects
+# https://packaging.python.org/tutorials/packaging-projects/
 upload:
 	# Make sure we're on the main branch
 	@if [ "$(shell git rev-parse --abbrev-ref HEAD)" != "main" ]; then exit 1; fi

README.md

@@ -50,7 +50,7 @@ slower:
 
 <img alt="memory usage" src="https://nschloe.github.io/npx/perf-add-at.svg" width="50%">
 
-Corresponding report: https://github.com/numpy/numpy/issues/11156.
+[Corresponding issue report](https://github.com/numpy/numpy/issues/11156)
 
 
 #### `unique_rows`
@@ -60,7 +60,7 @@ npx.unique_rows(a, return_inverse=False, return_counts=False)
 Returns the unique rows of the integer array `a`. The numpy alternative `np.unique(a,
 axis=0)` is slow.
 
-Corresponding report: https://github.com/numpy/numpy/issues/11136.
+[Corresponding issue report](https://github.com/numpy/numpy/issues/11136)
 
 
 #### `isin_rows`
@@ -95,7 +95,7 @@ out = npx.minimize(f, x0)
 In SciPy, the result from a minimization `out.x` will _always_ have shape `(n,)`, no
 matter the input vector. npx changes this to respect the input vector shape.
 
-Corresponding report: https://github.com/scipy/scipy/issues/13869.
+[Corresponding issue report](https://github.com/scipy/scipy/issues/13869)
 
 
 ### License