Add some cheat sheets

0_numpy_matplotlib_scipy_sympy/README.md

@@ -0,0 +1,14 @@
+# numpy, matplotlib, scipy等常用库
+
+## 内容
+* [numpy教程](numpy_tutorial.ipynb)
+* matplotlib
+  * [matplotlib系统学习](matplotlib_full.ipynb)
+  * [matplotlib简易教程](matplotlib_simple_tutorial.ipynb)
+* [scipy](scipy_tutorial.ipynb)
+* [sympy](sympy_tutorial.ipynb)
+
+
+## References
+* [手把手教你用Python做数据可视化](https://mp.weixin.qq.com/s/3Gwdjw8trwTR5uyr4G7EOg)
+* [Essential Cheat Sheets for deep learning and machine learning researchers](https://github.com/kailashahirwar/cheatsheets-ai)

README.md

@@ -16,6 +16,7 @@
 8. PyTorch
 
 ## 其他参考
+* [学习参考资料等](References.md)
 * [安装Python环境](tips/InstallPython.md)
-* [参考资料等](References.md)
-* [confusion matrix](tips/confusion_matrix.ipynb)
+* [confusion matrix](tips/confusion_matrix.ipynb)
+* [一些速查手册](tips/cheatsheet)

References.md

@@ -9,7 +9,8 @@
 * [IPython tutorials](https://nbviewer.jupyter.org/github/ipython/ipython/blob/master/examples/IPython%20Kernel/Index.ipynb)
 * [Examples from the IPython mini-book](https://github.com/rossant/ipython-minibook)
 * [Code of the IPython Cookbook, Second Edition (2018)](https://github.com/ipython-books/cookbook-2nd-code)
-
+* [Essential Cheat Sheets for deep learning and machine learning researchers](https://github.com/kailashahirwar/cheatsheets-ai)
+* [手把手教你用Python做数据可视化](https://mp.weixin.qq.com/s/3Gwdjw8trwTR5uyr4G7EOg)
 
 ## Libs
 * [numpy](http://www.numpy.org/)

pytorch/README.md

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+
+
+
+## References
+* [Awesome-Pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)
+* [PyTorch Tutorial for Deep Learning Researchers](https://github.com/yunjey/pytorch-tutorial)
+* [The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.](https://github.com/ritchieng/the-incredible-pytorch)
+* [Simple examples to introduce PyTorch](https://github.com/jcjohnson/pytorch-examples)
+* [Simple PyTorch Tutorials Zero to ALL!](https://github.com/hunkim/PyTorchZeroToAll)
+* [从基础概念到实现，小白如何快速入门PyTorch](https://mp.weixin.qq.com/s/zhkaenFdnB5KgaEYb-XDEQ)

tips/cheatsheet/README.md

@@ -0,0 +1,4 @@
+# 常用库的速查手册
+
+## References
+* [Essential Cheat Sheets for deep learning and machine learning researchers](https://github.com/kailashahirwar/cheatsheets-ai)

tips/notebook_tips.py

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+# ---
+# jupyter:
+#   jupytext_format_version: '1.2'
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+#   language_info:
+#     codemirror_mode:
+#       name: ipython
+#       version: 3
+#     file_extension: .py
+#     mimetype: text/x-python
+#     name: python
+#     nbconvert_exporter: python
+#     pygments_lexer: ipython3
+#     version: 3.5.2
+# ---
+
+# ## Show LaTeX equation
+#
+#
+
+from IPython.display import Latex
+Latex(r"""\begin{eqnarray}
+\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
+\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
+\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
+\nabla \cdot \vec{\mathbf{B}} & = 0 
+\end{eqnarray}""")
+
+# %%latex
+\begin{align}
+\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
+\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
+\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
+\nabla \cdot \vec{\mathbf{B}} & = 0
+\end{align}
+
+# ## Audio
+#
+
+from IPython.display import Audio
+Audio(url="http://www.nch.com.au/acm/8k16bitpcm.wav")
+
+# +
+import numpy as np
+max_time = 3
+f1 = 220.0
+f2 = 224.0
+rate = 8000.0
+L = 3
+times = np.linspace(0,L,rate*L)
+signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)
+
+Audio(data=signal, rate=rate)
+# -
+
+# ## External sites
+
+# + {"scrolled": true}
+from IPython.display import IFrame
+IFrame('https://jupyter.org', width='100%', height=350)
+# -
+
+# ## References
+#
+# * https://nbviewer.jupyter.org/github/ipython/ipython/blob/master/examples/IPython%20Kernel/Index.ipynb