matlab-v3.4

 
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  • Introduction
    • Data Pipelines
      • What is a data pipeline?
      • What is DataJoint?
      • How DataJoint works
      • Real-life example
      • Summary of DataJoint features
    • Teamwork
      • Data management in a science project
      • Data-centric project organization
      • Team roles
    • Input and Output
      • Where is my data?
      • Do I have to manually enter all my data into the database?
      • Won’t the database get too big if all my data are there?
      • Why not just process the data and save them back to a file?
      • How do I get my data out?
      • Interfaces
    • Publishing Data
      • Provide access to a DataJoint server
      • Containerizing as a DataJoint pipeline
      • Exporting into a collection of files
    • Progress
    • License
    • FAQs
      • How do I use GUIs with DataJoint?
      • Does DataJoint support other programming languages?
      • Is DataJoint another ORM?
      • How can I use DataJoint with a LIMS?
      • What is the difference between DataJoint and Alyx?
    • Release Notes
      • 3.4.3 – May 28, 2021
      • 3.4.2 – March 16, 2021
      • 3.4.1 – December 18, 2020
      • 3.4.0 – December 11, 2020
      • 3.3.2 – October 15, 2020
      • 3.3.1 – October 31, 2019
      • 3.2.2 – February 5, 2019
  • Server Administration
    • Database Server Hosting
      • Cloud hosting
      • Self hosting
      • General server / hardware support requirements
    • Relational Database Server
      • Hardware considerations
        • CPU
        • RAM
        • Disk
        • Networking
        • General recommendations
      • Large-scale installations
        • Master-slave replication
        • Multi-master replication
      • Recommendations
      • Docker
    • User Management
      • Grouping with Wildcards
    • Bulk Storage Systems
      • Why External Bulk Storage?
        • Cost
        • Flexibility
        • Performance
        • Data Sharing
      • Bulk Storage Scenarios
      • Bulk Storage Considerations
        • Performance Characteristics
        • Network Traffic
        • Data Coherency
    • External Store
      • Principles of operation
      • Configuration
      • Cleanup
      • Migration between DataJoint v0.11 and v0.12
    • Backups and Recovery
      • Cloud hosted backups
      • Disk-based backup
      • MySQLDump
      • Percona XTraBackup
      • Locking and DDL issues
      • Replication and snapshots for backup
  • Client Setup
    • Install and Connect
    • Other Configuration Settings
      • TLS Configuration
    • DataJoint Python Windows Install Guide
      • Quick steps
      • Step 1: install Python
      • Step 2: verify installation
      • Step 3: install DataJoint
      • (Optional) step 4: install packages for ERD support
        • Install Graphviz
        • Install PyDotPlus
        • Install Matplotlib
      • (Optional) step 5: install Jupyter Notebook
      • Git for Windows
      • MySQL for Windows
  • Concepts
    • Data Model
      • What is a data model?
      • Relational data model
        • Core principles of the relational data model
      • DataJoint is a refinement of the relational data model
    • Terminology
      • DataJoint: databases, schemas, packages, and modules
      • Base tables
      • Relvars and relation values
      • Metadata
    • Entity Normalization
      • Criteria of a well-formed entity set
      • Entity normalization in schema design
      • Entity normalization in data queries
      • Examples of poor normalization
        • Indirect attributes
        • Repeated attributes
        • Attributes that do not apply to all entities
        • Transient attributes
    • Data Integrity
      • Entity integrity
      • Referential integrity
      • Group integrity
      • Relationships
  • Data Definition
    • Creating Schemas
      • Schemas
        • Manual
        • Automatic
      • Working with existing data
    • Creating Tables
      • Classes represent tables
        • Data tiers
      • Defining a table
      • Valid class names
    • Table Definition
      • Table creation on the database server
      • Changing the definition of an existing table
      • Reverse-engineering the table definition
        • Examples
    • Definition Syntax
      • Attribute names
      • Default values
    • Data Tiers
      • Internal conventions for naming tables
      • Part tables
    • Datatypes
      • Most common datatypes
      • Less common (but supported) datatypes
      • Special DataJoint-only datatypes
      • Datatypes not (yet) supported
    • External Data
      • File Attachment Datatype
        • Configuration & Usage
      • Filepath Datatype
        • Configuration & Usage
        • Integrity Notes
    • Primary Key
      • Primary keys in DataJoint
      • Defining a primary key
      • Entity integrity
      • Datatypes in primary keys
      • Choosing primary key attributes
        • Using hashes as primary keys
        • auto_increment
    • Dependencies
      • Understanding dependencies
      • Defining a dependency
      • How dependencies work
      • Referential integrity
      • Dependencies with renamed attributes
      • Foreign key options
    • ERD
      • Diagram notation
      • Diagramming an entire schema
        • Initializing with a single table
        • Adding ERDs together
        • Expanding ERDs upstream and downstream
    • Manual Tables
    • Lookup Tables
    • Drop
      • Dropping part tables
  • Work with Existing Pipelines
    • Loading Classes
      • Creating a virtual class
  • Data Manipulation
    • Manipulation
    • Insert
      • Batched inserts
      • Server-side inserts
    • Delete
      • Examples
      • Deleting from part tables
    • Cautious Update
    • Transactions
  • Queries
    • Query Objects
      • Checking for returned entities
      • Normalization in queries
    • Example Schema
      • Example schema ERD
    • Fetch
      • Fetch the primary key
      • Fetch entire query
      • As separate variables
      • Obtaining the primary key along with individual values
      • Rename and calculate
      • Sorting and limiting the results
    • Iteration
    • Operators
      • Principles of relational algebra
      • Matching entities
        • Examples
      • Join compatibility
    • Restriction
      • Restriction operators & and -
      • Restriction by a table
        • Restriction by a table with no common attributes
        • Restriction by an empty table
      • Restriction by a mapping
      • Restriction by a string
      • Restriction by a collection
      • Restriction by a Boolean expression
      • Restriction by a query
    • Join
      • Join operator *
        • Principles of joins
        • Examples of joins
        • Properties of join
    • Proj
      • Simple projection
      • Renaming
      • Calculations
    • Aggr
      • Examples
    • Union
      • Union operator +
        • Principles of union
        • Examples of union
        • Properties of union
    • Universal Sets
  • Computation
    • Auto-populate
      • Make
      • Populate
      • Populate options
      • Progress
    • Key Source
      • Default key source
      • Custom key source
    • Master-Part Relationship
      • Populating
      • Deleting
      • Multiple parts
    • Transactions in Make
    • Distributed Computing
      • Job reservations
      • Managing connections
  • Community
    • Publications
    • Contribute
      • 1) Which issue should I contribute towards?
      • 2) What is the proper etiquette for proposing changes as contribution?
      • 3) How can I track the progress of an issue that has been assigned?
      • 4) What is the release process? How do I know when my merged contribution will officially make it into a release?
      • 5) I am not yet too comfortable contributing but would like to engage the community. What is the policy on community engagement?
        • 5a) Generally, how do I perform __________?
        • 5b) I just encountered this error, how can I resolve it?
        • 5c) I just encountered this error and I am sure it is a bug, how do I report it?
        • 5d) I have an idea or new feature request, how do I submit it?
        • 5e) I am curious why the maintainers choose to __________? i.e. questions that are ‘opinionated’ in nature with answers that some might disagree.
        • 5f) What is the timeline or roadmap for the release of certain supported features?
        • 5g) I need urgent help best suited for live debugging, how can I reach out directly?
    • Engagements
      • Multi-lab collaboratives
      • Invidiual Labs
DataJoint Documentation
  • Docs »
  • Computation

Computation¶

  • Auto-populate
    • Make
    • Populate
    • Populate options
    • Progress
  • Key Source
    • Default key source
    • Custom key source
  • Master-Part Relationship
    • Populating
    • Deleting
    • Multiple parts
  • Transactions in Make
  • Distributed Computing
    • Job reservations
    • Managing connections
Talk to the Community
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