1.ubuntu Mirroring Source Preparation (prevents slow download):
Reference post: http://www.cnblogs.com/top5/archive/2009/10/07/1578815.html
The steps are as follows:
First, back up the original Ubuntu 12.10 Source Address List file
sudo cp/etc/apt/sources.list/etc/apt/sources.list.old
Then make changes to sudo gedit/etc/apt/sources.list
You can add a resource address to the inside, overwriting the original directly.
2. Install with Apt-get
It is recommended to update the software source before installing
sudo apt-get update
If Python 2.7 is not a problem, you can proceed to the next step.
The packages for numeric calculations and drawings are now installed and Sklearn are numpy scipy matplotlib Pandas and Sklearn, respectively
The Apt-get command is as follows
sudo apt-get install Python-numpy
sudo apt-get install python-scipy
sudo apt-get install Python-matplotlib
sudo apt-get install Python-pandas
sudo apt-get install Python-sklearn
3. You can also use Pip to install
Install Python-dev before you install PIP
Apt-get Installation Commands
sudo apt-get install Python-dev
If the previous command doesn't work, you can use the following command to resolve
Using the Aptitude tool
sudo apt-get install aptitude
sudo aptitude install Python-dev
Install the Python-dev now to install the PYTHON-PIP.
sudo apt-get install Python-pip
Type PIP in the terminal and, if shown, the installation succeeds
4. Installation Results
The packages used for numeric calculations and drawings are now installed with Pip, respectively, NumPy scipy matplotlib Pandas
sudo pip install NumPy
sudo pip install scipy
sudo pip install matplotlib
sudo pip install pandas
Finally, install the Sklearn with PIP
sudo pip install-u scikit-learn
Test whether all the installation is successful, open the Python interpreter, enter the following command, if there is no error, then success.
Import NumPy as NP
Import Pandas as PD
Import Matplotlib.pyplot as Plt
From Sklearn import Datasets,linear_model
5. Installing TensorFlow
(1) Download
Https://pypi.python.org/packages/1e/b2/75c1ca60a9b4b97500aee98e81dbfe1d541d46a9d5315ea0723d0f45701d/ Tensorflow-1.2.0rc1-cp27-cp27mu-manylinux1_x86_64.whl#md5=ad4b55a56b475a7405b6626f9cd7ad32
(2) PIP installation
CD to the folder where the WHL file directory is located
Pip install tensorflow-1.2. 0RC1-CP27-CP27MU-MANYLINUX1_X86_64.WHL
Successful Installation:
To test whether the installation was successful:
Ubuntu16.04 installation configuration Numpy,scipy,matplotlibm,pandas and sklearn+ deep learning tensorflow configuration (non-Anaconda environment)