diff --git a/InstallPython.md b/InstallPython.md new file mode 100644 index 0000000..a3d1315 --- /dev/null +++ b/InstallPython.md @@ -0,0 +1,63 @@ +# Installing Python environments + +这章，讲解如何安装Python的环境 + +## 1. Windows + +### 安装Anaconda + +由于Anaconda集成了大部分的python包，因此能够很方便的开始使用。由于网络下载速度较慢，因此推荐使用镜像来提高下载的速度。 + +在这里找到适合自己的安装文件，然后下载 +https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/ + +设置软件源 https://mirror.tuna.tsinghua.edu.cn/help/anaconda/ +``` +conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ +conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ +conda config --set show_channel_urls yes +``` + +### 安装Pytorch +``` +conda install pytorch -c pytorch +pip3 install torchvision +``` + + +## 2. Linux + +### 安装pip +``` +sudo apt-get install python3-pip +``` + +### 设置PIP源 +``` +pip config set global.index-url 'https://mirrors.ustc.edu.cn/pypi/web/simple' +``` + +### 安装常用的包 +``` +pip install -r requirements.txt +``` + +或者手动安装 +``` +sudo pip install scipy +sudo pip install scikit-learn +sudo pip install numpy +sudo pip install matplotlib +sudo pip install pandas +sudo pip install ipython +sudo pip install jupyter +``` + +### 安装pytorch +到[pytorch 官网](https://pytorch.org)，根据自己的操作系统、CUDA版本，选择合适的安装命令。 + +例如Linux, Python3.5, CUDA 9.0： +``` +pip3 install torch torchvision +``` + diff --git a/README.md b/README.md index d22681c..d074b61 100644 --- a/README.md +++ b/README.md @@ -1,31 +1,8 @@ # Python和机器学习的notebook -本notebook教程包含了一些使用Python来学习机器学习的教程。通过本教程能够引导学习Python的基础知识和机器学习的背景和实际编程。 +本notebook教程包含了一些使用Python来学习机器学习的教程，通过本教程能够引导学习Python的基础知识和机器学习的背景和实际编程。 -## References -更多的学习资料，可以自行在下属列表找找到适合自己的学习资料。 - -### Python & IPython -* [Python教程](https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000) -* [Python-Lectures](https://github.com/rajathkmp/Python-Lectures) -* [A gallery of interesting Jupyter Notebooks](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks) -* [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) -* [scientific-python-lectures](http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/tree/master/) - - -### Libs -* [numpy](http://www.numpy.org/) -* [matplotlib - 2D and 3D plotting in Python](http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb) -* [scipy](https://www.scipy.org/) -* [pytorch](https://pytorch.org/) -* [tensorflow](https://www.tensorflow.org/) - - -### Machine learning - -* [ipython-notebooks: A collection of IPython notebooks covering various topics](https://github.com/jdwittenauer/ipython-notebooks) -* [Learn Data Science](http://learnds.com/) -* [AM207 2016](https://github.com/AM207/2016/tree/master) +内容 +* [安装Python环境](InstallPython.md) +* [参考资料等](References.md) \ No newline at end of file diff --git a/References.md b/References.md new file mode 100644 index 0000000..1ae5da2 --- /dev/null +++ b/References.md @@ -0,0 +1,52 @@ +# References +更多的学习资料，可以自行在下属列表找找到适合自己的学习资料。 + +## Python & IPython +* [Python教程](https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000) +* [Python-Lectures](https://github.com/rajathkmp/Python-Lectures) +* [A gallery of interesting Jupyter Notebooks](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks) +* [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) +* [scientific-python-lectures](http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/tree/master/) + + +## Libs +* [numpy](http://www.numpy.org/) +* [matplotlib - 2D and 3D plotting in Python](http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb) +* [scipy](https://www.scipy.org/) +* [pytorch](https://pytorch.org/) +* [tensorflow](https://www.tensorflow.org/) + + +## Machine learning + +* [ipython-notebooks: A collection of IPython notebooks covering various topics](https://github.com/jdwittenauer/ipython-notebooks) +* [Learn Data Science](http://learnds.com/) +* [AM207 2016](https://github.com/AM207/2016/tree/master) + + +## Awesome series +* [Awesome Cmputer Vision](https://github.com/jbhuang0604/awesome-computer-vision) +* [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning) +* [Awesome - Most Cited Deep Learning Papers](https://github.com/terryum/awesome-deep-learning-papers) +* [Awesome Deep Vision](https://github.com/kjw0612/awesome-deep-vision) +* [Awesome 3D Reconstruction](https://github.com/openMVG/awesome_3DReconstruction_list) + +## Lectures +* [Machine Learning](https://www.coursera.org/learn/machine-learning) +* [CS229: Machine Learning](http://cs229.stanford.edu/) +* [CS 20: Tensorflow for Deep Learning Research](http://web.stanford.edu/class/cs20si/index.html) +* [CS 294: Deep Reinforcement Learning, UC Berkeley](http://rll.berkeley.edu/deeprlcourse/) +* [Deep Learning Book](https://github.com/exacity/deeplearningbook-chinese) +* [Machine Learning Crash Course with TensorFlow APIs](https://developers.google.cn/machine-learning/crash-course/) +* [ Nvidia DLI](https://www.nvidia.com/zh-cn/deep-learning-ai/education/) +* [Introduction to Machine Learning](https://webdocs.cs.ualberta.ca/~nray1/CMPUT466_551.htm) +* [Computer Vision @ ETHZ](http://cvg.ethz.ch/teaching/compvis/) +* [SFMedu: A Structure from Motion System for Education](http://robots.princeton.edu/courses/SFMedu/) +* [Scene understanding of computer vision](http://vision.princeton.edu/courses/COS598/2014sp/) +* [Autonomous Navigation for Flying Robots](http://vision.in.tum.de/teaching/ss2015/autonavx) +* [Multiple View Geometry](http://vision.in.tum.de/teaching/ss2015/mvg2015) +* [Deep Learning for Self-Driving Cars](https://selfdrivingcars.mit.edu/) +* [史上最全TensorFlow学习资源汇总](https://www.toutiao.com/a6543679835670053380/) +* [Oxford Deep NLP 2017 course](https://github.com/oxford-cs-deepnlp-2017/lectures) diff --git a/install_python.ipynb b/install_python.ipynb deleted file mode 100644 index 5bd620b..0000000 --- a/install_python.ipynb +++ /dev/null @@ -1,94 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chapter 2. Installing Python environments\n", - "\n", - "这章，讲解如何安装Python的环境" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Windows\n", - "\n", - "### 安装Anaconda\n", - "\n", - "由于Anaconda集成了大部分的python包，因此能够很方便的开始使用。由于网络下载速度较慢，因此推荐使用镜像来提高下载的速度。\n", - "\n", - "在这里找到适合自己的安装文件，然后下载\n", - "https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/\n", - "\n", - "设置软件源 https://mirror.tuna.tsinghua.edu.cn/help/anaconda/\n", - "```\n", - "conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/\n", - "conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/\n", - "conda config --set show_channel_urls yes\n", - "```\n", - "\n", - "### 安装Pytorch\n", - "```\n", - "conda install pytorch -c pytorch \n", - "pip3 install torchvision\n", - "```\n", - "\n", - "\n", - "## Linux\n", - "\n", - "### 安装pip\n", - "```\n", - "sudo apt-get install python3-pip\n", - "```\n", - "\n", - "### 设置PIP源\n", - "```\n", - "pip config set global.index-url 'https://mirrors.ustc.edu.cn/pypi/web/simple'\n", - "```\n", - "\n", - "### 安装常用的包\n", - "```\n", - "sudo pip install scipy\n", - "sudo pip install scikit-learn\n", - "sudo pip install numpy\n", - "sudo pip install matplotlib\n", - "sudo pip install pandas\n", - "sudo pip install ipython\n", - "sudo pip install jupyter\n", - "```\n", - "\n", - "### 安装pytorch\n", - "到[pytorch 官网](https://pytorch.org)，根据自己的操作系统、CUDA版本，选择合适的安装命令。\n", - "\n", - "例如Linux, Python3.5, CUDA 9.0：\n", - "```\n", - "pip3 install torch torchvision\n", - "```\n", - "\n" - ] - } - ], - "metadata": { - "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" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/matplotlib/matplotlib_ani2.ipynb b/matplotlib/matplotlib_ani2.ipynb index b394366..4444c12 100644 --- a/matplotlib/matplotlib_ani2.ipynb +++ b/matplotlib/matplotlib_ani2.ipynb @@ -788,7 +788,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -836,8 +836,7 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" - }, - "main_language": "python" + } }, "nbformat": 4, "nbformat_minor": 2