Getting Started

• What is it?
  • Interacting with the Ecosystem
• Python-Blosc2’s compute engine
• Data Containers
  • SChunk: a 64-bit compressed store
  • NDArray: an N-Dimensional store
• Computing with NDArrays
  • Reductions and disk-based computations
• Installation
  • Pip
  • Conda
  • Source code
• Tutorials
  • NDArray: A NDim, Compressed Data Container
  • Expressions containing NDArray objects
  • User Defined Functions
  • Optimizing data reductions with NDArrays
  • Advanced Lazy Expressions and Persistent Reductions
  • Using Proxies for Efficient Handling of Remote Multidimensional Data
  • Compressing data with the SChunk class
  • Slicing, extending and serializing with SChunks
  • User-defined codecs and filters
  • Prefilters: compute before the filter pipeline
  • Postfilters: compute after the filter pipeline