Pytho科学计算生态介绍的中文翻译,英文原文地址:
Jupyter Notebook Python
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.ipynb_checkpoints 3.3 Sep 30, 2016
data 2.2 Jul 31, 2015
etc 1.4 Mar 13, 2015
examples 3.1 Nov 19, 2015
.DS_Store 3.1 Nov 19, 2015
1.1科学计算工具及流程.ipynb 111 Sep 27, 2015
1.2Python语言.ipynb 1.2 Dec 22, 2014
1.3NumPy:创建和操作数值数据.ipynb 1.4 Jan 4, 2015
1.4Matplotlib:绘图.ipynb 1.4 Mar 13, 2015
1.5. Scipy:高级科学计算.ipynb 2.1 May 25, 2015
1.6. 获取帮助及寻找文档.ipynb 2.1 May 25, 2015
2.1. Python高级功能(Constructs).ipynb 2.1 Jun 30, 2015
2.2. 高级Numpy.ipynb 2.3 Aug 6, 2015
2.3. 代码除错.ipynb 111 Sep 27, 2015
2.4. 代码优化.ipynb 111 Sep 27, 2015
2.5. SciPy中稀疏矩阵.ipynb 3.5 Nov 17, 2015
2.6. 使用Numpy和Scipy进行图像操作及处理.ipynb 111 Nov 18, 2015
2.7. 数学优化:找到函数的最优解.ipynb 2.7 Dec 29, 2015
2.8. 与C进行交互.ipynb 2.8 Feb 18, 2016
3.1 Python中的统计学.ipynb 3.1 Nov 19, 2015
3.2. Sympy:Python中的符号数学.ipynb 2.8 Feb 18, 2016
3.3. Scikit-image:图像处理.ipynb 3.3 Sep 30, 2016
3.4. Traits:创建交互对话.ipynb 3.3 Sep 30, 2016
3.5. 使用Mayavi进行3D作图.ipynb 2.8 Feb 18, 2016
3.6. scikit-learn:Python中的机器学习.ipynb 111 Nov 18, 2015
README.md 1.2 Dec 20, 2014
demo.py 111 Sep 27, 2015
demo.pyc 111 Sep 27, 2015
demo_opt.py 111 Sep 27, 2015
demo_opt.pyc 111 Sep 27, 2015
face.png 111 Nov 18, 2015
face.raw 111 Nov 18, 2015
file.mat 1.5 Feb 9, 2015
foo.txt 2.8 Feb 18, 2016
ica.py 111 Sep 27, 2015
ica.pyc 111 Sep 27, 2015
index_error.py 2.3 Aug 6, 2015
local_logo.png 3.3 Feb 28, 2016
mandelbrot.png 1.3 Dec 31, 2014
plot.png 1.3 Dec 31, 2014
pop.npy 1.3 Dec 31, 2014
pop2.txt 1.3 Dec 31, 2014
random_00.png 111 Nov 18, 2015
random_01.png 111 Nov 18, 2015
random_02.png 111 Nov 18, 2015
random_03.png 111 Nov 18, 2015
random_04.png 111 Nov 18, 2015
random_05.png 111 Nov 18, 2015
random_06.png 111 Nov 18, 2015
random_07.png 111 Nov 18, 2015
random_08.png 111 Nov 18, 2015
random_09.png 111 Nov 18, 2015
red_elephant.png 1.3 Dec 31, 2014
tiny_elephant.png 1.3 Dec 31, 2014
untitled.txt 111 Nov 18, 2015
wages.txt 3.1 Nov 19, 2015
wiener_filtering.py 2.3 Aug 6, 2015

README.md