diff --git a/notebooks/example.ipynb b/notebooks/example.ipynb
index 4a9bb19..cf39d50 100644
--- a/notebooks/example.ipynb
+++ b/notebooks/example.ipynb
@@ -1 +1 @@
-{"metadata":{"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kernelspec":{"name":"flux","display_name":"Flux","language":"python"}},"nbformat_minor":5,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Python Interface \nThe `pysqa` package primarily defines one class, that is the `QueueAdapter`. It loads the configuration from a configuration directory, initializes the corrsponding adapter for the specific queuing system and provides a high level interface for users to interact with the queuing system. The `QueueAdapter` can be imported using:","metadata":{},"id":"097a5f9f-69a2-42ae-a565-e3cdb17da461"},{"cell_type":"code","source":"from pysqa import QueueAdapter","metadata":{"trusted":true,"tags":[]},"execution_count":1,"outputs":[],"id":"04e9d4a2-6161-448b-81cd-1c6f8689867d"},{"cell_type":"markdown","source":"After the initial import the class is initialized using the configuration directory specificed by the `directory` parameter which defaults to `\"~/.queues\"`. In this example we load the configuration from the `test` directory: ","metadata":{},"id":"7e3cf646-d4e7-4b1e-ab47-f07342d7a5a2"},{"cell_type":"code","source":"qa = QueueAdapter(directory=\"../tests/config/flux\")","metadata":{"trusted":true,"tags":[]},"execution_count":2,"outputs":[],"id":"7e234eaf-80bc-427e-bd65-9acf70802689"},{"cell_type":"markdown","source":"This directory primarily contains two files, a `queue.yaml` file which contains the meta-data for the queuing system and one or multiple shell script templates. In this example there is one shell script template named `flux.sh`. The configuration files are explained in more detail in the [documentation](https://pysqa.readthedocs.io/en/latest/queue.html#flux). ","metadata":{},"id":"514a7f2e-04ec-4fed-baa5-a181dace7123"},{"cell_type":"code","source":"!cat ../tests/config/flux/queue.yaml","metadata":{"trusted":true,"tags":[]},"execution_count":3,"outputs":[{"name":"stdout","text":"queue_type: FLUX\nqueue_primary: flux\nqueues:\n  flux: {cores_max: 64, cores_min: 1, run_time_max: 172800, script: flux.sh}","output_type":"stream"}],"id":"272e7f10-3ae5-4902-aa30-fe62d8500e1f"},{"cell_type":"code","source":"!cat ../tests/config/flux/flux.sh","metadata":{"trusted":true,"tags":[]},"execution_count":4,"outputs":[{"name":"stdout","text":"#!/bin/bash\n# flux:--job-name={{job_name}}\n# flux: --env=CORES={{cores}}\n# flux: --output=time.out\n# flux: --error=error.out\n# flux: -n {{cores}}\n{%- if run_time_max %}\n# flux: -t {{ [1, run_time_max // 60]|max }}\n{%- endif %}\n\n{{command}}","output_type":"stream"}],"id":"87d12ef6-a34b-40d6-b383-0b9f548a66f3"},{"cell_type":"markdown","source":"The `queue.yaml` files and some templates for the most common queuing systems are defined below. By default `pysqa` supports the following variable for the submission script templates:\n\n* `job_name` - the name of the calculation which appears on the queuing system \n* `working_directory` - the directory on the file system the calculation is executed in \n* `cores` - the number of cores used for the calculation\n* `memory_max` - the amount of memory requested for the total calculation\n* `run_time_max` - the run time requested for a given calculation - typically in seconds \n* `command` - the command which is executed on the queuing system\n\nBeyond these standardized keywords, additional flags can be added to the template which are then available through the python interface. \n","metadata":{},"id":"7d079e96-f919-42bd-b353-32f8c407ef22"},{"cell_type":"markdown","source":"# List available queues \nList available queues as list of queue names: ","metadata":{},"id":"451180a6-bc70-4053-a67b-57357522da0f"},{"cell_type":"code","source":"qa.queue_list","metadata":{"trusted":true,"tags":[]},"execution_count":5,"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":"['flux']"},"metadata":{}}],"id":"88afd81d-08f3-4ba6-9f33-7baed9cc9149"},{"cell_type":"markdown","source":"List available queues in an pandas dataframe - this returns the information stored in the `queue.yaml` file as a `pandas.DataFrame`:","metadata":{},"id":"ff55f03f-3a51-437f-98cd-f6fd6b8afd40"},{"cell_type":"code","source":"qa.queue_view","metadata":{"trusted":true,"tags":[]},"execution_count":6,"outputs":[{"execution_count":6,"output_type":"execute_result","data":{"text/plain":"     cores_max cores_min run_time_max memory_max\nflux        64         1       172800       None","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>cores_max</th>\n      <th>cores_min</th>\n      <th>run_time_max</th>\n      <th>memory_max</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>flux</th>\n      <td>64</td>\n      <td>1</td>\n      <td>172800</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"id":"16e44b12-5390-4128-b1ca-0fab463b8e9b"},{"cell_type":"markdown","source":"# Submit job to queue\nSubmit a job to the queue - if no queue is specified it is submitted to the default queue defined in the queue configuration:","metadata":{},"id":"42a53d33-2916-461f-86be-3edbe01d3cc7"},{"cell_type":"code","source":"queue_id = qa.submit_job(\n    queue=None,\n    job_name=None,\n    working_directory=\".\",\n    cores=None,\n    memory_max=None,\n    run_time_max=None,\n    dependency_list=None,\n    command='sleep 5',\n)\nqueue_id","metadata":{"trusted":true},"execution_count":7,"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":"114152177664"},"metadata":{}}],"id":"a3f2ba3a-0f82-4a0a-aa63-b5e71f8f8b39"},{"cell_type":"markdown","source":"The only required parameter is: \n* `command` the command that is executed as part of the job \n\nAdditional options for the submission of the job are:\n* `queue` the queue the job is submitted to. If this option is not defined the `primary_queue` defined in the configuration is used. \n* `job_name` the name of the job submitted to the queuing system. \n* `working_directory` the working directory the job submitted to the queuing system is executed in.\n* `cores` the number of cores used for the calculation. If the cores are not defined the minimum number of cores defined for the selected queue are used. \n* `memory_max` the memory used for the calculation. \n* `run_time_max` the run time for the calculation. If the run time is not defined the maximum run time defined for the selected queue is used. \n* `dependency_list` other jobs the calculation depends on. \n* `**kwargs` allows writing additional parameters to the job submission script if they are available in the corresponding template.\n","metadata":{},"id":"9aa0fdf9-0827-4706-bfed-6b95b95dd061"},{"cell_type":"markdown","source":"# Show jobs in queue \nGet status of all jobs currently handled by the queuing system:","metadata":{},"id":"672854fd-3aaa-4287-b29c-d5370e4adc14"},{"cell_type":"code","source":"qa.get_queue_status()","metadata":{"trusted":true},"execution_count":8,"outputs":[{"execution_count":8,"output_type":"execute_result","data":{"text/plain":"          jobid    user jobname   status\n0  114152177664  jovyan    None  running","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>jobid</th>\n      <th>user</th>\n      <th>jobname</th>\n      <th>status</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>114152177664</td>\n      <td>jovyan</td>\n      <td>None</td>\n      <td>running</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"id":"73518256-faf8-4fea-bc40-9b2198903bf5"},{"cell_type":"markdown","source":"With the additional parameter `user` a specific user can be defined to only list the jobs of this specific user. \n\nIn analogy the jobs of the current user can be listed with: ","metadata":{},"id":"9338f32f-b127-4700-8aba-25aded6b548f"},{"cell_type":"code","source":"qa.get_status_of_my_jobs()","metadata":{"trusted":true},"execution_count":9,"outputs":[{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"          jobid    user jobname   status\n0  114152177664  jovyan    None  running","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>jobid</th>\n      <th>user</th>\n      <th>jobname</th>\n      <th>status</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>114152177664</td>\n      <td>jovyan</td>\n      <td>None</td>\n      <td>running</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"id":"cf6e59e8-f117-4d4a-9637-f83ec84c62fa"},{"cell_type":"markdown","source":"Finally, the status of a specific job with the queue id  `queue_id` can be received from the queuing system using:","metadata":{},"id":"d2566873-2d30-4801-9d86-287a247fb7c6"},{"cell_type":"code","source":"qa.get_status_of_job(process_id=queue_id)","metadata":{"trusted":true},"execution_count":10,"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"'running'"},"metadata":{}}],"id":"ee8e14db-cc6e-47e7-a1e5-035427ca83a9"},{"cell_type":"markdown","source":"# Delete job from queue \nDelete a job with the queue id `queue_id` from the queuing system:","metadata":{},"id":"f89528d3-a3f5-4adb-9f74-7f70270aec12"},{"cell_type":"code","source":"qa.delete_job(process_id=queue_id)","metadata":{"trusted":true,"tags":[]},"execution_count":11,"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"''"},"metadata":{}}],"id":"06e1535b-eafd-4b94-ba33-ba24da088a33"},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[],"id":"e7ce1aee-5d8d-46b0-b7ec-44dd21646352"}]}
\ No newline at end of file
+{"metadata":{"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kernelspec":{"name":"flux","display_name":"Flux","language":"python"}},"nbformat_minor":5,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Python Interface \nThe `pysqa` package primarily defines one class, that is the `QueueAdapter`. It loads the configuration from a configuration directory, initializes the corrsponding adapter for the specific queuing system and provides a high level interface for users to interact with the queuing system. The `QueueAdapter` can be imported using:","metadata":{},"id":"097a5f9f-69a2-42ae-a565-e3cdb17da461"},{"cell_type":"code","source":"from pysqa import QueueAdapter","metadata":{"tags":[],"trusted":true},"execution_count":1,"outputs":[],"id":"04e9d4a2-6161-448b-81cd-1c6f8689867d"},{"cell_type":"markdown","source":"After the initial import the class is initialized using the configuration directory specificed by the `directory` parameter which defaults to `\"~/.queues\"`. In this example we load the configuration from the `test` directory: ","metadata":{},"id":"7e3cf646-d4e7-4b1e-ab47-f07342d7a5a2"},{"cell_type":"code","source":"qa = QueueAdapter(directory=\"config/flux\")","metadata":{"tags":[],"trusted":true},"execution_count":2,"outputs":[],"id":"7e234eaf-80bc-427e-bd65-9acf70802689"},{"cell_type":"markdown","source":"This directory primarily contains two files, a `queue.yaml` file which contains the meta-data for the queuing system and one or multiple shell script templates. In this example there is one shell script template named `flux.sh`. The configuration files are explained in more detail in the [documentation](https://pysqa.readthedocs.io/en/latest/queue.html#flux). ","metadata":{},"id":"514a7f2e-04ec-4fed-baa5-a181dace7123"},{"cell_type":"code","source":"!cat config/flux/queue.yaml","metadata":{"tags":[],"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"queue_type: FLUX\nqueue_primary: flux\nqueues:\n  flux: {cores_max: 64, cores_min: 1, run_time_max: 172800, script: flux.sh}","output_type":"stream"}],"id":"272e7f10-3ae5-4902-aa30-fe62d8500e1f"},{"cell_type":"code","source":"!cat config/flux/flux.sh","metadata":{"tags":[],"trusted":true},"execution_count":4,"outputs":[{"name":"stdout","text":"#!/bin/bash\n# flux:--job-name={{job_name}}\n# flux: --env=CORES={{cores}}\n# flux: --output=time.out\n# flux: --error=error.out\n# flux: -n {{cores}}\n{%- if run_time_max %}\n# flux: -t {{ [1, run_time_max // 60]|max }}\n{%- endif %}\n\n{{command}}","output_type":"stream"}],"id":"87d12ef6-a34b-40d6-b383-0b9f548a66f3"},{"cell_type":"markdown","source":"The `queue.yaml` files and some templates for the most common queuing systems are defined below. By default `pysqa` supports the following variable for the submission script templates:\n\n* `job_name` - the name of the calculation which appears on the queuing system \n* `working_directory` - the directory on the file system the calculation is executed in \n* `cores` - the number of cores used for the calculation\n* `memory_max` - the amount of memory requested for the total calculation\n* `run_time_max` - the run time requested for a given calculation - typically in seconds \n* `command` - the command which is executed on the queuing system\n\nBeyond these standardized keywords, additional flags can be added to the template which are then available through the python interface. \n","metadata":{},"id":"7d079e96-f919-42bd-b353-32f8c407ef22"},{"cell_type":"markdown","source":"# List available queues \nList available queues as list of queue names: ","metadata":{},"id":"451180a6-bc70-4053-a67b-57357522da0f"},{"cell_type":"code","source":"qa.queue_list","metadata":{"tags":[],"trusted":true},"execution_count":5,"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":"['flux']"},"metadata":{}}],"id":"88afd81d-08f3-4ba6-9f33-7baed9cc9149"},{"cell_type":"markdown","source":"List available queues in an pandas dataframe - this returns the information stored in the `queue.yaml` file as a `pandas.DataFrame`:","metadata":{},"id":"ff55f03f-3a51-437f-98cd-f6fd6b8afd40"},{"cell_type":"code","source":"qa.queue_view","metadata":{"tags":[],"trusted":true},"execution_count":6,"outputs":[{"execution_count":6,"output_type":"execute_result","data":{"text/plain":"     cores_max cores_min run_time_max memory_max\nflux        64         1       172800       None","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>cores_max</th>\n      <th>cores_min</th>\n      <th>run_time_max</th>\n      <th>memory_max</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>flux</th>\n      <td>64</td>\n      <td>1</td>\n      <td>172800</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"id":"16e44b12-5390-4128-b1ca-0fab463b8e9b"},{"cell_type":"markdown","source":"# Submit job to queue\nSubmit a job to the queue - if no queue is specified it is submitted to the default queue defined in the queue configuration:","metadata":{},"id":"42a53d33-2916-461f-86be-3edbe01d3cc7"},{"cell_type":"code","source":"queue_id = qa.submit_job(\n    queue=None,\n    job_name=None,\n    working_directory=\".\",\n    cores=None,\n    memory_max=None,\n    run_time_max=None,\n    dependency_list=None,\n    command='sleep 5',\n)\nqueue_id","metadata":{"trusted":true},"execution_count":7,"outputs":[{"execution_count":7,"output_type":"execute_result","data":{"text/plain":"127607504896"},"metadata":{}}],"id":"a3f2ba3a-0f82-4a0a-aa63-b5e71f8f8b39"},{"cell_type":"markdown","source":"The only required parameter is: \n* `command` the command that is executed as part of the job \n\nAdditional options for the submission of the job are:\n* `queue` the queue the job is submitted to. If this option is not defined the `primary_queue` defined in the configuration is used. \n* `job_name` the name of the job submitted to the queuing system. \n* `working_directory` the working directory the job submitted to the queuing system is executed in.\n* `cores` the number of cores used for the calculation. If the cores are not defined the minimum number of cores defined for the selected queue are used. \n* `memory_max` the memory used for the calculation. \n* `run_time_max` the run time for the calculation. If the run time is not defined the maximum run time defined for the selected queue is used. \n* `dependency_list` other jobs the calculation depends on. \n* `**kwargs` allows writing additional parameters to the job submission script if they are available in the corresponding template.\n","metadata":{},"id":"9aa0fdf9-0827-4706-bfed-6b95b95dd061"},{"cell_type":"markdown","source":"# Show jobs in queue \nGet status of all jobs currently handled by the queuing system:","metadata":{},"id":"672854fd-3aaa-4287-b29c-d5370e4adc14"},{"cell_type":"code","source":"qa.get_queue_status()","metadata":{"trusted":true},"execution_count":8,"outputs":[{"execution_count":8,"output_type":"execute_result","data":{"text/plain":"          jobid    user jobname   status\n0  127607504896  jovyan    None  running","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>jobid</th>\n      <th>user</th>\n      <th>jobname</th>\n      <th>status</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>127607504896</td>\n      <td>jovyan</td>\n      <td>None</td>\n      <td>running</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"id":"73518256-faf8-4fea-bc40-9b2198903bf5"},{"cell_type":"markdown","source":"With the additional parameter `user` a specific user can be defined to only list the jobs of this specific user. \n\nIn analogy the jobs of the current user can be listed with: ","metadata":{},"id":"9338f32f-b127-4700-8aba-25aded6b548f"},{"cell_type":"code","source":"qa.get_status_of_my_jobs()","metadata":{"trusted":true},"execution_count":9,"outputs":[{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"          jobid    user jobname   status\n0  127607504896  jovyan    None  running","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>jobid</th>\n      <th>user</th>\n      <th>jobname</th>\n      <th>status</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>127607504896</td>\n      <td>jovyan</td>\n      <td>None</td>\n      <td>running</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"id":"cf6e59e8-f117-4d4a-9637-f83ec84c62fa"},{"cell_type":"markdown","source":"Finally, the status of a specific job with the queue id  `queue_id` can be received from the queuing system using:","metadata":{},"id":"d2566873-2d30-4801-9d86-287a247fb7c6"},{"cell_type":"code","source":"qa.get_status_of_job(process_id=queue_id)","metadata":{"trusted":true},"execution_count":10,"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"'running'"},"metadata":{}}],"id":"ee8e14db-cc6e-47e7-a1e5-035427ca83a9"},{"cell_type":"markdown","source":"# Delete job from queue \nDelete a job with the queue id `queue_id` from the queuing system:","metadata":{},"id":"f89528d3-a3f5-4adb-9f74-7f70270aec12"},{"cell_type":"code","source":"qa.delete_job(process_id=queue_id)","metadata":{"tags":[],"trusted":true},"execution_count":11,"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"''"},"metadata":{}}],"id":"06e1535b-eafd-4b94-ba33-ba24da088a33"}]}
\ No newline at end of file