add google summer of code 2023 changes

jupyterbook/_toc.yml

@@ -1,23 +1,24 @@
-# Table of contents
-# Learn more at https://jupyterbook.org/customize/toc.html
-
-format: jb-book
-root: welcome
-parts:
-  - caption: Basic Concepts
-    numbered: True
-    chapters:
-    - file: notebooks/1_intro_pydra
-    - file: notebooks/2_intro_functiontask
-    - file: notebooks/3_intro_functiontask_state
-    - file: notebooks/4_intro_workflow
-    - file: notebooks/5_intro_shelltask
-  - caption: General Linear Model
-    numbered: True
-    chapters:
-    - file: notebooks/6_firstlevel_glm_nilearn
-    - file: notebooks/7_twolevel_glm_nilearn
-  - caption: About Pydra
-    chapters:
-    - file: about/team
-    - file: about/cite_pydra
+# Table of contents
+# Learn more at https://jupyterbook.org/customize/toc.html
+
+format: jb-book
+root: welcome
+parts:
+  - caption: Basic Concepts
+    numbered: True
+    chapters:
+    - file: notebooks/1_intro_pydra
+    - file: notebooks/2_intro_functiontask
+    - file: notebooks/3_intro_functiontask_state
+    - file: notebooks/4_intro_workflow
+    - file: notebooks/5_intro_shelltask
+    - file: notebooks/8_intro_workers
+  - caption: General Linear Model
+    numbered: True
+    chapters:
+    - file: notebooks/6_firstlevel_glm_nilearn
+    - file: notebooks/7_twolevel_glm_nilearn
+  - caption: About Pydra
+    chapters:
+    - file: about/team
+    - file: about/cite_pydra

notebooks/1_intro_pydra.md

@@ -48,7 +48,8 @@ There are two main types of objects in *pydra*: `Task` and `Workflow`, that is a
 Pydra supports multiple workers to execute `Tasks` and `Workflows`:
 - `ConcurrentFutures`
 - `SLURM`
-- `Dask` (experimental)
+- `Dask`
+- `PSI/J`
 
 +++
 

notebooks/8_intro_workers.md

@@ -0,0 +1,74 @@
+---
+jupytext:
+  text_representation:
+    extension: .md
+    format_name: myst
+    format_version: 0.13
+    jupytext_version: 1.14.0
+kernelspec:
+  display_name: Python 3
+  language: python
+  name: python3
+---
+
+# Workers in Pydra
+
+Pydra workers are classes that are used to execute `Tasks` and `Workflows`. Pydra currently supports the following workers:
+- `SerialWorker`
+- `ConcurrentFuturesWorker`
+- `SlurmWorker`
+- `DaskWorker`
+- `SGEWorker`
+- `PsijWorker`
+
+## 1. SerialWorker
+
+A worker to execute linearly. 
+```
+with pydra.Submitter(plugin='serial') as sub:
+    sub(wf)
+```
+
+## 2. ConcurrentFuturesWorker
+
+A worker to execute in parallel using Python's concurrent futures.
+```
+with pydra.Submitter(plugin='cf') as sub:
+    sub(wf)
+```
+
+## 3. SlurmWorker
+
+A worker to execute tasks on SLURM systems.
+```
+with pydra.Submitter(plugin='slurm') as sub:
+    sub(wf)
+```
+
+## 4. DaskWorker
+
+A worker to execute in parallel using Dask.distributed.
+```
+with pydra.Submitter(plugin='dask') as sub:
+    sub(wf)
+```
+
+## 5. SGEWorker
+
+A worker to execute tasks on SLURM systems.
+```
+with pydra.Submitter(plugin='sge') as sub:
+    sub(wf)
+```
+
+## 6. PsijWorker
+
+A worker to execute tasks using PSI/J executors. Currently supported executors are: `local` and `slurm`.
+```
+with pydra.Submitter(plugin='psij-local') as sub:
+    sub(wf)
+```
+```
+with pydra.Submitter(plugin='psij-slurm') as sub:
+    sub(wf)
+```