Python Data Analysis

NumPy arrays are, in fact, specialized objects with extensive optimizations

NumPy Cookbook, Ivan Idris (2012)
Parallel Programming with

NumPy Beginner's Guide - Second Edition, Ivan Idris (2013)

Learning NumPy Array, Ivan Idris

NumPy 1.8.1
SciPy 0.14.0
matplotlib 1.3.1
IPython 2.0.0
pandas Version 0.13.1
tables 3.1.1
numexpr 2.4
openpyxl 2.0.3
XlsxWriter 0.5.5
xlrd 0.9.3
feedparser 5.1.3
Beautiful Soup 4.3.2
StatsModels 0.6.0
SQLAlchemy 0.9.6
Pony 0.5.1
dataset 0.5.4
MongoDB 2.6.3
PyMongo 2.7.1
Redis server 2.8.12
Redis 2.10.1
Cassandra 2.0.9
Java 7
NLTK 2.0.4
scikit-learn 0.15.0
NetworkX 1.9
DEAP 1.0.1
theanets 0.2.0
Graphviz 2.36.0
pydot2 1.0.33
Octave 3.8.0
R 3.1.1
rpy2 2.4.2
JPype 0.5.5.2
Java 7
SWIG 3.02
PCRE 8.35
Boost 1.56.0
gfortran 4.9.0
GAE for Python 2.7
gprof2dot 2014.08.05
line_profiler beta
Cython 0.20.0
cytoolz 0.7.0
Joblib 0.8.2
Bottleneck 0.8.0
Jug 0.9.3
MPI 1.8.1
mpi4py 1.3

Although, it's hard to give a precise definition of Big Data