Perfectly Awesome

Numpy Resources

20 essential functions   (towards data science)
randint()
random()
random.randn()
ones()
identity()
arange()
full()
ravel()
reshape()
transpose()
vsplit()
hsplit()
concatenate()
vstack()
hstack()
det()
inv()
eig()
dot()
matmul()
25 numpy treasures
np.full_like
np.logspace
np.meshgrid
np.triu, np.tril
np.ravel, np.flatten
np.vstack, np.hstack
np.r_
np.c_
np.info
np.where
  (towards data science)
isclose()
intersect1d()
stack()
home page   (numpy.org)
indexing   (towards data science)
intermediate   (python DS handbook)
arrays
boolean arrays
masking
broadcasting
fancy indexes
sorting
structured data
aggregations
ufuncs
datatypes
lagrange multipliers - marketing budget optimization   (jooskorstanje.com)
matrix multiplication basics   (towards data science)
numpy basics - vectors, matrices & ndarrays   (numeric python)
datatypes
typecasting
promoting
complex numbers
memory
arrays
indexes
slices
views
fancy indexing
boolean indexing
reshaping
merging
vectorization
math ops
aggregate ops
boolean arrays
conditionals
logic ops
set ops
matrix ops
scikit-image ops
tutorial   (python data science handbook)