Tutorials

Hands-on, step-by-step interactive tutorials exploring core and advanced capabilities of Python-Blosc2 through Jupyter notebooks.

Index

• NDArray: A NDim, Compressed Data Container
• Expressions containing NDArray objects
• User Defined Functions
• LazyArray UDF DSL Kernels
• 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, postfilters and fillers
• Working with Containers
• Working with ObjectArray
• Working with BatchArray
• CTable Tutorial
• Indexing Arrays
• Indexing CTables