السلام عليكم
صدرت النسخة الجديدة من SciPy برقم 0.9.0 و تكمن أهميتها في أنها أول نسخة تبدأ بدعم الاصدار الثالث من بايثون (النسخة 3.1 فقط حالياً).
http://sourceforge.net/projects/scipy/files/scipy/0.9.0/
نبذة عن SciPy:
هي مكتبة تحتوي على العديد من الأدوات للبحث العلمي scientific programming مفتوحة المصدر تحت رخصة BSD و من وحداتها وحدة الجبر و التفاضل و التكامل و معالجة الصور و معالجة الإشارات و غيرها الكثير
من ويكيبيديا:
اقتباسModules
[edit]Overview
Available subpackages:
constants: physical constants and conversion factors (since version 0.7.0[1])
cluster: hierarchical clustering, vector quantization, K-means
fftpack: Discrete Fourier Transform algorithms
integrate: numerical integration routines
interpolate: interpolation tools
io: data input and output
lib: Python wrappers to external libraries
linalg: linear algebra routines
misc: miscellaneous utilities (e.g. image reading/writing)
optimize: optimization algorithms including linear programming
signal: signal processing tools
sparse: sparse matrix and related algorithms
spatial: KD-trees, nearest neighbors, distance functions
special: special functions
stats: statistical functions
weave: tool for writing C/C++ code as Python multiline strings
[edit]Additional functionality
SciPy's core feature set is extended by many other dedicated software tools. For example,
Plotting. The currently recommended 2-D plotting package is Matplotlib, however, there are many other plotting packages such as HippoDraw, Chaco, and Biggles. Other popular graphics tools include Python Imaging Library and MayaVi (for 3D visualization).
Optimization. While SciPy has its own optimization package, OpenOpt has access to more optimization solvers and can involve Automatic differentiation.
Advanced Data Analysis. Via RPy, SciPy can interface to the R statistical package for advanced data analysis.
Database. SciPy can interface with PyTables, a hierarchical database package designed to efficiently manage large amounts of data using HDF5.
Interactive shell. IPython is an interactive environment that offers debugging and coding features similar to that which MATLAB offers.
Symbolic Mathematics. There are several Python libraries — such as PyDSTool Symbolic and SymPy — that offer symbolic mathematics.
بعض الروابط المهمة:
http://en.wikipedia.org/wiki/SciPy
http://www.scipy.org/Cookbook
