Scipy Lecture Notes

One document to learn numerics, science, and data with Python
https://scipy-lectures.org/index.html

lecture ['lektʃə]：n. 演讲，讲稿，教训 vt. 演讲，训诫 vi. 讲课，讲演
numeric [njuː'merɪk]：n. 数，数字 adj. 数值的 (等于 numerical)，数字的

Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.

ecosystem ['iːkəʊsɪstəm]：n. 生态系统
course [kɔːs]：n. 科目，课程，过程，进程，道路，路线，航向，一道菜 vt. 追赶，跑过 vi. 指引航线，快跑
expert ['ekspɜːt]：adj. 熟练的，内行的，老练的 n. 专家，行家，能手 vt. 当专家，在...中当行家

1. Getting started with Python for science
   1.1. Python scientific computing ecosystem
   1.2. The Python language
   1.3. NumPy: creating and manipulating numerical data
   1.4. Matplotlib: plotting
   1.5. Scipy : high-level scientific computing
   1.6. Getting help and finding documentation
2. Advanced topics
   2.1. Advanced Python Constructs
   2.2. Advanced NumPy
   2.3. Debugging code
   2.4. Optimizing code
   2.5. Sparse Matrices in SciPy
   2.6. Image manipulation and processing using Numpy and Scipy
   2.7. Mathematical optimization: finding minima of functions
   2.8. Interfacing with C
3. Packages and applications
   3.1. Statistics in Python
   3.2. Sympy : Symbolic Mathematics in Python
   3.3. Scikit-image: image processing
   3.4. Traits: building interactive dialogs
   3.5. 3D plotting with Mayavi
   3.6. scikit-learn: machine learning in Python

References

NumPy C-API
https://docs.scipy.org/doc/numpy/reference/c-api.html

Python Types and C-Structures
https://docs.scipy.org/doc/numpy/reference/c-api.types-and-structures.html

System configuration
https://docs.scipy.org/doc/numpy/reference/c-api.config.html

Data Type API
https://docs.scipy.org/doc/numpy/reference/c-api.dtype.html

Array API
https://docs.scipy.org/doc/numpy/reference/c-api.array.html

Array Iterator API
https://docs.scipy.org/doc/numpy/reference/c-api.iterator.html

UFunc API
https://docs.scipy.org/doc/numpy/reference/c-api.ufunc.html

Generalized Universal Function API
https://docs.scipy.org/doc/numpy/reference/c-api.generalized-ufuncs.html

NumPy core libraries
https://docs.scipy.org/doc/numpy/reference/c-api.coremath.html

C API Deprecations
https://docs.scipy.org/doc/numpy/reference/c-api.deprecations.html

Interfacing With Other Languages
https://scipy-cookbook.readthedocs.io/items/idx_interfacing_with_other_languages.html

C Extensions for Using NumPy Arrays
https://scipy-cookbook.readthedocs.io/items/C_Extensions_NumPy_arrays.html

C extensions
https://scipy-cookbook.readthedocs.io/items/C_Extensions.html

Ctypes
https://scipy-cookbook.readthedocs.io/items/Ctypes.html

F2py
https://scipy-cookbook.readthedocs.io/items/F2Py.html

Inline Weave With Basic Array Conversion (no Blitz)
https://scipy-cookbook.readthedocs.io/items/Weave.html

SWIG Numpy examples
https://scipy-cookbook.readthedocs.io/items/SWIG_NumPy_examples.html

SWIG and Numpy
https://scipy-cookbook.readthedocs.io/items/SWIG_and_NumPy.html

SWIG memory deallocation
https://scipy-cookbook.readthedocs.io/items/SWIG_Memory_Deallocation.html

f2py and numpy
https://scipy-cookbook.readthedocs.io/items/f2py_and_NumPy.html

Scipy Lecture Notes
https://scipy-lectures.org/index.html

2.8. Interfacing with C
https://scipy-lectures.org/advanced/interfacing_with_c/interfacing_with_c.html

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