What is Perspective
Concepts
1.
Data Architecture
1.1.
Client-only
1.2.
Client/Server replicated
1.3.
Server only
2.
Virtual Servers
3.
Table
3.1.
Schema and column types
3.2.
Loading data
3.3.
Construct an empty Table from a schema
3.4.
index and limit options
3.5.
update() and remove() streaming methods
3.6.
clear() and replace() start-over methods
4.
View
4.1.
Querying data
4.1.1.
Grouping and Pivots
4.1.2.
Selection and Ordering
4.1.3.
expressions
4.2.
Advanced View Operations
5.
Join
5.1.
Join Types
5.2.
Join Options
5.3.
Reactivity and Constraints
JavaScript
6.
Installation and Module Structure
7.
Importing with or without a bundler
8.
perspective data engine library
8.1.
Serializing data
8.2.
Cleaning up resources
8.3.
Hosting a WebSocketServer in Node.js
8.4.
Customizing perspective.worker()
8.5.
Joining Tables
9.
perspective-viewer Custom Element library
9.1.
Loading data
9.2.
Theming
9.3.
Saving and restoring UI state
9.4.
Listening for events
9.5.
Plugin render limits
10.
Virtual Servers
10.1.
DuckDB
10.2.
ClickHouse
10.3.
Custom
11.
React Component
Python
12.
Overview
13.
Installation
14.
Loading data into a Table
14.1.
pandas, polars and pyarrow integration
15.
Callbacks and events
16.
Multithreading
17.
Hosting a WebSocket server
18.
Joining Tables
19.
PerspectiveWidget for JupyterLab
20.
Virtual Servers
20.1.
DuckDB
20.2.
ClickHouse
20.3.
Polars
20.4.
Custom
Rust
21.
Getting Started
Tutorials
22.
A tornado server in Python
API Reference
23.
API Reference
FAQ
24.
FAQ
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