dimitri-yatsenko/db-programming-with-datajoint

A series of notebooks accompanying video tutorials

Database Programming with DataJoint

A series of quick video tutorials

2019-03-04: "Using UUIDs"

• Notebook: UUID.ipynb
• NBViewer

2019-03-11: "Working a single table"

• Notebook: Getting Started with DataJoint.ipynb
• NBViewer

2019-04-16: "Working with existing databases"

• Notebook Spawning-Classes.ipynb
• NBViewer

2019-04-26: "Altering Table Definitions"

• Notebook Alter.ipynb
• NBViewer

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upcoming

(upcoming) "Work with Blobs"

(upcoming) "Work with Attachments"

(upcoming) "Work with Filepaths"

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Minicourse A: Database Programming in DataJoint for Python

1. Work with Tables
   • connections, schemas, dj.config
   • tables and classes
   • attributes and their types
   • primary key
   • insert and delete
   • lookup tables
   • fetch, head, tail
   • iterations
   • restrict and proj
   • insert from query
   • drop and alter
2. Dependencies
   • primary and secondary dependencies
   • python modules
   • spawning classes
   • transactions, master-part relationship
   • diagramming
   • renamed attributes
   • patterns: hierarchy, membership, pairings and groupings
   • unique and optional dependencies
   • indexes
3. Advanced Queries
   • join
   • aggr
   • universal sets
   • union
4. Scientific Data and Big Data
   • blobs, attachments
   • external stores, cloud storage
   • filepaths

Minicourse B: Pipeline Programming in DataJoint for Python

1. Computed tables
   • populate and make methods
   • patterns: parameterization and grouping
2. Master-Part relationship
3. Distributed processing
   • jobs table
   • dj.kill
4. Customized computations
   • custom key_source