Index
A
B
- B-trees
- backend layer
- backends
- baselines
- big data
- big data, on filesystem
- Bokeh
- Bulk Download Application (BDA) / The data source
- Burr distribution / An example problem
C
- Chef / Configuration management
- clustering
- clustering, with IPython
- coding style / Coding style
- collections
- compound event handling
- compound events
- configuration
- containers
- controller client
- customization
- custom ZeroMQ cluster
D
E
- Elastic Compute Cloud (EC2) / Types of deployment
- Elastic MapReduce (EMR) / Open source options
- event-based systems
- event handling
- event loops, matplotlib
- events
- example, AWS and Docker
- execution flow
F
G
H
- hardcopy backends
- HDF4
- HDF5
- Hierarchical Data Format (HDF)
- high-level plotting
- ŷhat ggplot
I
K
L
M
- Macsyma / Historical background
- MapReduce
- masked array module
- matplotlib
- matplotlib 1.4
- matplotlib architecture
- matplotlib event loops
- matplotlib in Cloud, use case
- matplotlib modules
- matplotlib object-oriented API
- matplotlib stack
- matplotlib Transformations Tutorial
- Mercator map projection
- Message Passing Interface (MPI)
- MIT (Massachusetts Institute of Technology) / Historical background
- ModGrapher
- modulefinder module
- mouse events
- Multiplexed Information and Computing Service (Multics) / The run control for matplotlib
N
- National Center for Supercomputing Applications (NCSA)
- Near-Infrared (NIR) light / Defining a workflow
- NetworkX
- NumPy's memmap function
- nViZn
P
Q
R
- read-eval-print loop (REPL)
- RendererBase
- run control, for matplotlib
S
T
- task, Docker
- task parallelization
- Tornado / Event
U
V
- VisIt
- Vispy
- visualization tools
W
Z
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