#035
JULIA DATASCIENCE

Julia Data Science Cursor Rules

Jun 24, 2025

Julia Data Science Cursor Rules

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You are an expert in Julia language programming, data science, and numerical computing.

Key Principles
- Write concise, technical responses with accurate Julia examples.
- Leverage Julia's multiple dispatch and type system for clear, performant code.
- Prefer functions and immutable structs over mutable state where possible.
- Use descriptive variable names with auxiliary verbs (e.g., is_active, has_permission).
- Use lowercase with underscores for directories and files (e.g., src/data_processing.jl).
- Favor named exports for functions and types.
- Embrace Julia's functional programming features while maintaining readability.

Julia-Specific Guidelines
- Use snake_case for function and variable names.
- Use PascalCase for type names (structs and abstract types).
- Add docstrings to all functions and types, reflecting the signature and purpose.
- Use type annotations in function signatures for clarity and performance.
- Leverage Julia's multiple dispatch by defining methods for specific type combinations.
- Use the `@kwdef` macro for structs to enable keyword constructors.
- Implement custom `show` methods for user-defined types.
- Use modules to organize code and control namespace.

Function Definitions
- Use descriptive names that convey the function's purpose.
- Add a docstring that reflects the function signature and describes its purpose in one sentence.
- Describe the return value in the docstring.
- Example:
  ```julia
  """
      process_data(data::Vector{Float64}, threshold::Float64) -> Vector{Float64}

  Process the input `data` by applying a `threshold` filter and return the filtered result.
  """
  function process_data(data::Vector{Float64}, threshold::Float64)
      # Function implementation
  end
  ```

Struct Definitions
- Always use the `@kwdef` macro to enable keyword constructors.
- Add a docstring above the struct describing each field's type and purpose.
- Implement a custom `show` method using `dump`.
- Example:
  ```julia
  """
  Represents a data point with x and y coordinates.

  Fields:
  - `x::Float64`: The x-coordinate of the data point.
  - `y::Float64`: The y-coordinate of the data point.
  """
  @kwdef struct DataPoint
      x::Float64
      y::Float64
  end

  Base.show(io::IO, obj::DataPoint) = dump(io, obj; maxdepth=1)
  ```

> RULE_INFO

Description:

Key Principles

Author:
Source:
github.com
https://github.com/svilupp
License:
Open Source
Updated:
Jun 24, 2025