Learn K with Real Code Examples

Install kdb+ to use K language effectively

Set environment variables for kdb+ binaries

Test K interpreter with sample scripts

Configure for your platform (Linux, Windows, macOS)

Verify database connectivity for kdb+ integration

Install K interpreter

Set environment variables for K/kdb+

Test scripts locally

Connect to kdb+ database

Validate performance on sample datasets

K scripts (.k)

kdb+ database configuration

Data input/output files

Project module scripts

Testing scripts and benchmarks

k -script myscript.k - run K script

kdb+ mydb.q - start kdb+ database

select from table - query tables

insert - add rows to table

update - modify table data

Supports UTF-8 for textual data

Time-series and numeric formats configurable

Used globally in finance and trading

Documentation and resources in multiple languages

Works with international market data standards

Supported on Linux, Windows, macOS

Documentation available through Kx resources

Community support is specialized but active

Focused on financial and analytic professionals

Efficient for high-performance computing

Primarily console-based output

Integration with GUI or reporting tools via kdb+

Plots and charts through external libraries

Focus on numeric and tabular data

Minimal native UI support

Atoms and lists store data

Tables maintain structured datasets

Functions manipulate state immutably or via tables

Tacit functions encapsulate logic

Database integration provides persistent state

Arrays and lists for numeric and textual data

Tables and keyed tables for structured data

Integration with kdb+ for storage and querying

Vectorized operations for efficiency

Functional programming reduces mutable state