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.NET
C++
Getting Started
Using Arrow C++ in your own project
Conventions
Basic Arrow Data Structures
Arrow File I/O
Arrow Compute
Arrow Datasets
User Guide
High-Level Overview
Memory Management
Arrays
Data Types
Tabular Data
Compute Functions
The Gandiva Expression Compiler
Gandiva Expression, Projector, and Filter
Gandiva External Functions Development Guide
Acero: A C++ streaming execution engine
Acero Overview
Acero User’s Guide
Using Acero with Substrait
Input / output and filesystems
Reading and writing the Arrow IPC format
Reading and Writing ORC files
Reading and writing Parquet files
Reading and Writing CSV files
Reading JSON files
Tabular Datasets
Arrow Flight RPC
Security Considerations
Debugging code using Arrow
Thread Management
OpenTelemetry
Environment Variables
Examples
Minimal build using CMake
Compute and Write CSV Example
Arrow Datasets example
Parquet column encryption
Row to columnar conversion
std::tuple-like ranges to Arrow
Converting RecordBatch to Tensor
API Reference
Programming Support
Memory (management)
Thread (management)
Data Types
Arrays
Extension
Scalars
Array Builders
Two-dimensional Datasets
C Interfaces
Compute Functions
Streaming Execution (Acero)
Gandiva Expression Compiler
Tensors
Utilities
Asynchronous programming
Input / output
Arrow IPC
File Formats
CUDA support
Arrow Flight RPC
Arrow Flight SQL
Filesystems
Dataset
C++ Development
Building Arrow C++
Development Guidelines
Developing on Windows
Cross compiling for WebAssembly with Emscripten
Conventions
Fuzzing Arrow C++
Developing Arrow C++ Compute
Developing Acero
Swiss Table
C++ Cookbook
C GLib
Apache Arrow GLib
Apache Arrow CUDA GLib
Apache Arrow Dataset
Apache Arrow Flight GLib
Apache Arrow Flight SQL GLib
Apache Parquet GLib
Gandiva GLib
Go
Java
JavaScript
Julia
MATLAB
Python
Installing PyArrow
Getting Started
Data Types and In-Memory Data Model
Compute Functions
Memory and IO Interfaces
Streaming, Serialization, and IPC
Filesystem Interface
NumPy Integration
Pandas Integration
Dataframe Interchange Protocol
The DLPack Protocol
Timestamps
Reading and Writing the Apache ORC Format
Reading and Writing CSV files
Feather File Format
Reading JSON files
Reading and Writing the Apache Parquet Format
Tabular Datasets
Arrow Flight RPC
Extending PyArrow
PyArrow Integrations
Substrait
Integrating PyArrow with R
Integrating PyArrow with Java
Using pyarrow from C++ and Cython Code
CUDA Integration
Environment Variables
API Reference
Data Types and Schemas
pyarrow.null
pyarrow.bool_
pyarrow.int8
pyarrow.int16
pyarrow.int32
pyarrow.int64
pyarrow.uint8
pyarrow.uint16
pyarrow.uint32
pyarrow.uint64
pyarrow.float16
pyarrow.float32
pyarrow.float64
pyarrow.time32
pyarrow.time64
pyarrow.timestamp
pyarrow.date32
pyarrow.date64
pyarrow.duration
pyarrow.month_day_nano_interval
pyarrow.binary
pyarrow.string
pyarrow.utf8
pyarrow.large_binary
pyarrow.large_string
pyarrow.large_utf8
pyarrow.binary_view
pyarrow.string_view
pyarrow.decimal128
pyarrow.decimal256
pyarrow.list_
pyarrow.large_list
pyarrow.list_view
pyarrow.large_list_view
pyarrow.map_
pyarrow.struct
pyarrow.dictionary
pyarrow.run_end_encoded
pyarrow.fixed_shape_tensor
pyarrow.union
pyarrow.dense_union
pyarrow.sparse_union
pyarrow.opaque
pyarrow.bool8
pyarrow.uuid
pyarrow.json_
pyarrow.field
pyarrow.schema
pyarrow.from_numpy_dtype
pyarrow.unify_schemas
pyarrow.DataType
pyarrow.DictionaryType
pyarrow.ListType
pyarrow.ListViewType
pyarrow.FixedSizeListType
