Download 
How to install scipy
- Download and install ActivePython
- Open Command Prompt
- Type
pypm install scipy
Depended by
- Aesthete
- ambhas
- apgl
- Astropysics
- bamboo-server
- bayespy
- BESST
- bigtempo
- bioa
- BiologicalProcessNetworks
- BIP
- BNfinder
- brightway2
- bullseye
- bw2analyzer
- bw2data
- CGAT
- cgptoolbox
- chebpy
- clawpack
- clipper
- concert
- CosmoloPy
- countmemaybe
- cropy
- ctd
- deepTools
- dirichlet
- django-instakit
- dolo
- dpnewman
- egads
- electrode
- empirical
- EnrichPy
- field-data
- FuncDesigner
- gensim
- Glastopf
- glimpse
- gptwosample
- GPy
- grammy
- GridDataFormats
- GromacsWrapper
- gyroid
- hydrat
- infopython
- KF
- lmj.sound
- lsa
- matplotlib-venn
- mcerp
- MDAnalysis
- MedPy
- metaseq
- minpower
- Model-Builder
- mofa
- MotifAnalysisPackage
- Mtrax
- mwavepy
- Numdifftools
- numina
- obspy
- obspy.signal
- oceans
- ocupy
- OpenElectrophy
- openTMM
- Orange-ModelMaps
- Orange-Network
- OSCAAR
- panama
- playdoh
- py-sam
- Py6S
- pybiosas
- pyccv
- pydap.responses.matlab
- pydaqtools
- pyDOE
- PyEC
- pyemir
- pyFASST
- PyFixation
- PyGaia
- PyGeometry
- pygis
- pygp
- pyIGES
- Pylon
- pyLuminous
- pymatgen
- pymcdream
- pyMor
- Pymote
- PyNFG
- pyofss
- PyOpenFDM
- pypepa
- pyphant
- pyphant.imageprocessing
- pyphant.osc
- pyphant.statistics
- pyprophet
- PyQt-Fit
- pyradar
- pyresample
- pyrings
- pysca
- PySLIC
- pyssp
- python-geotiepoints
- pywaveclus
- QSTK
- rdfsim
- rdfspace
- rogues
- sastool
- scikit-commpy
- scikit-rf
- scikits.bootstrap
- scikits.bvp1lg
- scikits.cuda
- scikits.odes
- scikits.sparse
- SciMath
- ScipySim
- sempy
- SeqFindR
- smop
- sparsesvd
- spectrum
- SphinxReport
- spykeutils
- spykeviewer
- SRPAstro
- SRPAstro.TNG
- ssp
- sunpy
- tapir
- Theano
- thermopy
- tmm
- unfluff
- wradlib
Lastest release
version 0.12.0 on Apr 11th, 2013
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
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