Index
A
- affinity propagation
- Amdahl's law
- Anderson-Darling test
- annotate() function / Legends and annotations
- annotations
- Apache Cassandra
- application
- ARMA models
- array() function
- array shapes
- array shapes, manipulating
- Artificial Neural Networks (ANN)
- astype function / Converting arrays
- Atom feeds
- Augmented Dickey-Fuller (ADF)
- autocorrelation
- autocorrelation plots
- autocorrelations
- autoregressive model
B
C
D
- data
- data aggregation
- database
- database cursor
- databases
- DataFrame
- dataset
- datasets package / Interfacing with R
- data type objects
- dates
- Debian
- decision tree
- decision tree learning
- DELETE method / Using REST web services and JSON
- depth-wise splitting
- depth stacking
- descriptive statistics
- detrend() function
- detrend filter
- dill
- doc_features() function / Installing Cython
- dsplit function
- dstack function
- dtype attributes
- dtype constructors
E
F
G
H
- Hanning window
- HDF
- HDF5
- HDF5 stores
- headers
- Hilbert-Huang transform
- history, IPython shell
- horizontal splitting
- horizontal stacking
- hsplit function
- hstack function
- HTML
I
- if a* else b statement / Decision trees
- information
- installation, Cython / Installing Cython
- installation, NLTK / Installing NLTK
- installation, pandas
- installation, rpy2 / Installing rpy2
- Internet Engineering Task Force (IETF)
- IPython
- installing, on Windows / On Windows
- URL / On Windows
- installing, on Linux / On Linux
- installing, on Mac OS X / On Mac OS X
- building, from source / Building NumPy, SciPy, matplotlib, and IPython from source
- git commands / Building NumPy, SciPy, matplotlib, and IPython from source
- installing, with setup tools / Installing with setuptools
- using, as shell / Using IPython as a shell
- notebooks / IPython notebooks
- IPython notebooks
- IPython Parallel
- IPython shell
- IPython shell, using
- IPython source code
- IRC channel
- isalpha() method / Creating word clouds
- isStopword() function / Installing Cython
- isStopWord3() function / Installing Cython
J
K
- k-fold cross-validation
- kernel function
- keyspace
- Kruskal-Wallis one-way analysis of variance / Interfacing with R
L
M
- Mac OS X
- Mandriva
- manual pages
- map() method
- Map phase
- MapReduce
- MATLAB
- matplotlib
- matplotlib.pyplot.loglog() function / Logarithmic plots
- matplotlib subpackages
- matrices
- mean shift algorithm
- medfilt() function
- median() function / Comparing Bottleneck to NumPy functions
- median filter
- merge() function / Joining DataFrames
- meteorological data, Dutch KNMI institute
- missing values
- MongoDB
- MongoDB distribution
- Moore's law
- morley dataset / Interfacing with R
- moving averages
- MPI
- multidimensional array
- multiprocessing
- mutation operator
N
- naive
- Naive Bayes classification
- names
- ndarray
- neural network
- NLTK
- normal distribution
- normality test
- numbers
- Numeric
- NumPy
- URL / On Windows, Where to find help and references
- installing, on Red Hat / On Linux
- installing, on Mandriva / On Linux
- installing, on Gentoo / On Linux
- installing, on Debian / On Linux
- installing, on Ubuntu / On Linux
- building, from source / Building NumPy, SciPy, matplotlib, and IPython from source
- git commands / Building NumPy, SciPy, matplotlib, and IPython from source
- installing, with setup tools / Installing with setuptools
- references / Where to find help and references
- descriptive statistics / Basic descriptive statistics with NumPy
- linear algebra, performing / Linear algebra with NumPy
- matrices, inverting with / Inverting matrices with NumPy
- linear systems, solving with / Solving linear systems with NumPy
- eigenvalues, obtaining / Finding eigenvalues and eigenvectors with NumPy
- eigenvectors, obtaining / Finding eigenvalues and eigenvectors with NumPy
- random numbers / NumPy random numbers
- about / Installing and exploring pandas
- CSV files, writing with / Writing CSV files with NumPy and pandas
- SWIG, integrating with / Integrating SWIG and NumPy
- functions / NumPy
- NumPy-masked array
- numpy.i interface file
- numpy.linalg subpackage
- numpy.ma subpackage / Creating a NumPy-masked array
- numpy.median() function / Comparing Bottleneck to NumPy functions
- NumPy .npy binary format
- NumPy array attributes
- NumPy array elements
- NumPy array object
- NumPy arrays
- NumPy functions
- NumPy modules
- NumPy numerical types
O
- object-relational mapping (ORM)
- Octave
- one-point crossover
- opinion mining
P
- pandas
- pandas, requisites
- pandas plotting
- parallel() function / Speeding up embarrassingly parallel for loops with Joblib
- parsing, Atom feeds
- parsing, HTML
- parsing, RSS
- Part of Speech (POS) tags / Filtering out stopwords, names, and numbers
- PCRE
- periodic signals
- phase spectrum
- pickling
- pivot table
- pkgutil module
- pkg_check.py file / matplotlib subpackages
- plot() method
- Plot.ly
- Pony ORM
- POST method / Using REST web services and JSON
- pos_tag() function
- power spectrum
- predict() method
- preinstalled Python libraries
- preprocessing
- Principal Component Analysis (PCA)
- probability density functions (pdf) / Sampling the normal distribution
- process pool
- profiling
- programs
- proper noun singular (NNP) tag / Filtering out stopwords, names, and numbers
- properties, ndarray
- pseudo-random numbers
- PUT method / Using REST web services and JSON
- pydoc module
- pylab switch, IPython shell / Using IPython as a shell
- PyMongo
- PyTables
- Python
- python-bs4
- python-dateutil
- PythonAnywhere
Q
R
S
T
U
V
- vertical splitting
- vertical stacking
- vsplit function
- vstack function
W
- Wakari
- wiener() function
- Wiener filter
- window function
- Windows
- word clouds
- word frequencies
- Wordle
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