C:\Users\yunswj\miniconda3 具体的安装路径在这里 conda install numpy pandas scikit-learn matplotlib seaborn ipython-notebook
将材料下载到本地: git clone git@github.com:jakevdp/sklearn_pycon2013.git 安装 ipython-notebook sudo easy_install "ipython>=0.13" jinja2 "tornado>=3.1.0" pyzmq sudo apt-get install ipython-notebook 打开材料 cd PATH/TO/
导出数据csv Windows平台上的编码问题,我们可以先做个简单处理,是ipython-notebook支持utf8. import sys reload(sys) sys.setdefaultencoding 图形输出 In [71]: import matplotlib.pyplot as plt #使ipython-notebook支持matplotlib绘图 %matplotlib
jupyter-notebook-python笔记本 MAC OSX 正確地同時安裝 PYTHON 2.7 和 PYTHON3 Mac下安装pip,virtualenv,IPython Mac下Jupyter(即IPython-notebook
scipy、ipython、malplotlib等) sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook
install python-dev sudo apt-get install python-numpy sudo apt-get install ipython sudo apt-get install ipython-notebook
04 python安装,caffe提供了python的接口,可以用python进行相关开发,而且可以在ipython-notebook里面画出网络结构,非常方便。
安装python的其他依赖 sudo apt-get install python-numpy sudo apt-get install ipython sudo apt-get install ipython-notebook
Stack overflow 自动将 ipython-notebook 更正为 jupyter notebook,所以研究者结合了其他两个来源的 jupyter notebook 结果。
zxvf ipython-0.13.2.tar.gz python setup.py install 通过系统的软件包管理器安装: # Debian和Ubuntu系统 apt-get install ipython-notebook
python文件内,安装Python相关的安装包 sudo apt-get install -y python-numpy python-scipy python-matplotlib ipython ipython-notebook
python3.2 --versionPython 3.2.3 安装 Linux 在 Ubuntu Linux 中安装科学计算所用的工具: $ sudo apt-get install python ipython ipython-notebook
中进行 IPython Notebook 使用IPython Notebook开发更加方便 安装 sudo apt-get install ipython udo apt-get install ipython-notebook
,安装scipy cd caffe/python sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook
Stack overflow 自动将 ipython-notebook 更正为 jupyter notebook,所以研究者结合了其他两个来源的 jupyter notebook 结果。
``python XXX:~/Desktop$sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook
首先,安装Ipython: sudo apt-get -y install ipython ipython-notebook 现在我们可以继续安装Jupyter Notebook: sudo -H pip
作为例子,这里有个教程: Deep learning book in ipython-notebook and Keras Many example code in Keras - http://ml4a.github.io
作为例子,这里有个教程: Deep learning book in ipython-notebook and Keras Many example code in Keras - http://ml4a.github.io
activate py3 现在让我们安装 Anaconda 的所有安装包: conda install pip pandas scikit-learn scipy numpy matplotlib ipython-notebook