Merge pull request Point72#189 from Point72/pavithraes/fix-links

Fix links that go to old docs pages

README.md

@@ -61,7 +61,7 @@ See [our wiki!](https://github.com/Point72/csp/wiki)
 
 ## Development
 
-Check out the [Developer Documentation](https://github.com/Point72/csp/wiki/99.-Developer)
+Check out the [contribution guide](https://github.com/Point72/csp/wiki/Contribute) and [local development instructions](https://github.com/Point72/csp/wiki/Local-Development-Setup).
 
 ## Authors
 

docs/wiki/api-references/Base-Adapters-API.md

@@ -79,7 +79,7 @@ This allows you to connect an edge as a "graph output".
 All edges added as outputs will be returned to the caller from `csp.run` as a dictionary of `key: [(datetime, value)]`
 (list of datetime, values that ticked on the edge) or if `csp.run` is passed `output_numpy=True`, as a dictionary of
 `key: (array, array)` (tuple of two numpy arrays, one with datetimes and one with values).
-See [Collecting Graph Outputs](https://github.com/Point72/csp/wiki/0.-Introduction#collecting-graph-outputs)
+See [Collecting Graph Outputs](CSP-Graph#collecting-graph-outputs)
 
 Args:
 

docs/wiki/api-references/Base-Nodes-API.md

@@ -299,7 +299,7 @@ csp.dynamic_demultiplex(
 ) → {ts['K']: ts['T']}
 ```
 
-Similar to `csp.demultiplex`, this version will return a [Dynamic Basket](https://github.com/Point72/csp/wiki/6.-Dynamic-Graphs) output that will dynamically add new keys as they are seen.
+Similar to `csp.demultiplex`, this version will return a [Dynamic Basket](Create-Dynamic-Baskets) output that will dynamically add new keys as they are seen.
 
 ## `csp.dynamic_collect`
 
@@ -309,7 +309,7 @@ csp.dynamic_collect(
 ) → ts[{'K': 'T'}]
 ```
 
-Similar to `csp.collect`, this function takes a [Dynamic Basket](https://github.com/Point72/csp/wiki/6.-Dynamic-Graphs) input and returns a dictionary of the key-value pairs corresponding to the values that ticked.
+Similar to `csp.collect`, this function takes a [Dynamic Basket](Create-Dynamic-Baskets) input and returns a dictionary of the key-value pairs corresponding to the values that ticked.
 
 ## `csp.drop_nans`
 

docs/wiki/concepts/CSP-Graph.md

@@ -84,7 +84,7 @@ result:
 
 Note that the result is a list of `(datetime, value)` tuples.
 
-You can also use [csp.add_graph_output](<https://github.com/Point72/csp/wiki/1.-Generic-Nodes-(csp.baselib)#adapters>) to add outputs.
+You can also use [csp.add_graph_output](Base-Adapters-API#cspadd_graph_output) to add outputs.
 These do not need to be in the top-level graph called directly from `csp.run`.
 
 This gives the same result:

docs/wiki/concepts/CSP-Node.md

@@ -155,7 +155,7 @@ basket and react to it as well as access its current value
 ## **Node Outputs**
 
 Nodes can return any number of outputs (including no outputs, in which case it is considered an "output" or sink node,
-see [Graph Pruning](https://github.com/Point72/csp/wiki/0.-Introduction#graph-pruning)).
+see [Graph Pruning](CSP-Graph#graph-pruning)).
 Nodes with single outputs can return the output as an unnamed output.
 Nodes returning multiple outputs must have them be named.
 When a node is called at graph building time, if it is a single unnamed node the return variable is an edge representing the output which can be passed into other nodes.

docs/wiki/dev-guides/Contribute.md

@@ -4,6 +4,6 @@ For **bug reports** or **small feature requests**, please open an issue on our [
 
 For **questions** or to discuss **larger changes or features**, please use our [discussions page](https://github.com/Point72/csp/discussions).
 
-For **contributions**, please see our [developer documentation](https://github.com/Point72/csp/wiki/99.-Developer). We have `help wanted` and `good first issue` tags on our issues page, so these are a great place to start.
+For **contributions**, please see our [developer documentation](Local-Development-Setup). We have `help wanted` and `good first issue` tags on our issues page, so these are a great place to start.
 
 For **documentation updates**, make PRs that update the pages in `/docs/wiki`. The documentation is pushed to the GitHub wiki automatically through a GitHub workflow. Note that direct updates to this wiki will be overwritten.