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Fix the direcotry problem after flattening the completed notebooks. Rename 01, minor modification to 00
1 parent 90025b1 commit 9d70f10

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00-Getting started.ipynb

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"# if you did change your password, update the config\n",
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"# dj.config['database.password'] = 'ENTER YOUR NEW PASSWORD HERE'\n",
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"\n",
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"# and save it to dj_local_config.json\n",
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"# and save it globally within this environment\n",
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"dj.config.save_global()"
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]
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},
@@ -314,7 +314,7 @@
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"source": [
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"If all of the above worked, then you are now ready to continue on with the tutorial!\n",
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"The next step in the tutorial is to:\n",
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"1. learn the basic of the DataJoint framework with [01-DataJoint 101](./01-DataJoint%20101%20-%20Interactive.ipynb)\n",
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"1. learn the basic of the DataJoint framework with [01-DataJoint Basics](./01-DataJoint%20Basics%20-%20Interactive.ipynb)\n",
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"2. data ingestion in a pipeline, with practical examples in 2 domains:\n",
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" + [02-electrophysiology](./electrophysiology/02-Imported%20Tables%20-%20Interactive.ipynb)\n",
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" + [02-calcium imaging](./calcium_imaging/02-Imported%20Tables%20-%20Interactive.ipynb)\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"As you will find out that these tutorial notebooks are meant to be interactive. There will be empty cells meant for you to write the code yourself, as mini exercies. To access the notebooks with complete solutions, visit this [folder](./completed)."
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"As you will find out that these tutorial notebooks are meant to be interactive. There will be empty cells meant for you to write the code yourself, as mini exercises. To access the notebooks with complete solutions, visit this [folder](./completed)."
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]
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}
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],
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.0"
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"1. learn what a data pipeline is\n",
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"2. create our first simple data pipeline in DataJoint\n",
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"3. insert some data into the pipeline\n",
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"4. basic queries to flexible explore the data pipeline\n",
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"4. basic queries to flexibly explore the data pipeline\n",
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"5. fetch the data from the pipeline\n",
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"6. delete entries from tables"
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]
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"\n",
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"In the next session, we are going to extend our data pipeline with tables to represent **imported data** and define new tables to **compute and hold analysis results**.\n",
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"\n",
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"We will use both ephys and calcium imaging as example pipelines. The notebooks reside in the directory "
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"We will use both ephys and calcium imaging as example pipelines:\n",
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"+ [02-electrophysiology](./electrophysiology/02-Imported%20Tables%20-%20Interactive.ipynb)\n",
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"+ [02-calcium imaging](./calcium_imaging/02-Imported%20Tables%20-%20Interactive.ipynb)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

calcium_imaging/02-Imported Tables - Interactive.ipynb

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calcium_imaging/03-Computed Table, Lookup Table, and Part Table - Interactive.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.0"
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"version": "3.7.3"
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}
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},
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"nbformat": 4,

completed/01-DataJoint 101 - Completed.ipynb renamed to completed/01-DataJoint Basics - Completed.ipynb

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"\n",
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"In the next session, we are going to extend our data pipeline with tables to represent **imported data** and define new tables to **compute and hold analysis results**.\n",
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"\n",
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"We will use both ephys and calcium imaging as example pipelines. The notebooks reside in the directories `electrophysiology` and `calcium_imaging` respectively."
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"We will use both ephys and calcium imaging as example pipelines.\n",
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"+ [02-electrophysiology](./02-electrophysiology-%20Impo%20Tables%20-%20Completed.ipynb)\n",
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"+ [02-calcium imaging](./02-calcium_imaging%20-%20Imported%20Tables%20-%20Completed.ipynb)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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