now conda

version)Download the ISO file on the official website to burn the USB flash drive installation and install it automatically on the SSD drive.2. Installing Cuda 7.5 deb file (with video driver)2.1 Get Cuda installation package and download the local Deb file on Nvidia official website.2.2 Perform the following command installation:$ sudo dpkg-i cuda-repo-ubuntu1410-7-0-local_7.0-28_amd64.deb$ sudo apt-get update$ sudo apt-get install Cuda2.3 Setting environment variables: sudo gedit/etc/profile$

1 Update CondaConda Upgrade--all2 Configure the Python2 compilation environment (if Python2 is installed by default, you will need to configure the Python3Conda create-n python2 python=2.7Conda Remove Package_name4 Switching the compilation environmentActivate Python2 #切换Python编译环境至Python2Deactivate Python2 #退出环境Conda remove-n python2--all #删除环境5 Viewing the installed packagesConda List6 Installing the Package-N python2 numpy #在Python2编译环境中安装numpy包7 R

highlighting produced by Actipro CodeHighlighter (freeware)http://www.CodeHighlighter.com/-->Interfaceimplfactory{Ainterface create (Object condition){ If (Condition = Conda){ Return New Ainterfaceimpa ();}Elseif (Condition = Condb){ Return New Ainterfaceimpb ();} Else { Return New Ainterfaceimp ();}}} On the surface, the above problems are mitigated to some extent, but in essence this code coupling has not changed. This coup

Pyzo, c ++ Recently, yvivid uses Python for scientific computing applications (for example, some matlab application scenarios) The recommended release version is Anaconda: A free distribution for the SciPy stack. Supports Linux, Windows and Mac.Enthought Canopy: The free and available cial versions include the core SciPy stack packages. Supports Linux, Windows and Mac.Python (x, y) WinPython: A free distribution including the SciPy stack. Windows only. Among the three above, the first two a

One is used to update various packages, and the other is responsible for the code of Meimei. Select python.exe in anacondain for pycharm and setting project interpreter. Anaconda prompt can be used to install the package Conda install Import pycharm to anaconda In pychar, click "file", select "Settings", and click, as shown below:In the "Settings" window, select the option indicated by the arrow in the figure, and then you will see "project interpre

# Because caffe and pytorch are not installed in the system at the same time, a conda in the system should be an isolated Python environment, which is generally unavailable.# Therefore, numpy can only be used as an intermediate medium. The following code is the Caffe network stored in numpy and converts it to pytorch.# I didn't automate the conversion of the prototxt. It's not necessary. I wrote the same pytorch network myself.Def net_from_caffe (n, R

, not a technology, like Gof, is a design pattern. Interface driven Design interface driver, interface driver has many advantages, can provide different flexible sub-class implementation, increase code stability and robustness, etc., but the interface must be implemented, that is, the following statement will be executed sooner or later: ainterface a = new Ainterfaceimp (); 　　Thus, the coupling relationship arises, such as: Class a {ainterface A; 　　A () {} amethod () {a = new ainterfaceimp (); }

The file in web. config is as follows:.........The access is as follows:Private Sub Page_Load (ByVal sender As System. Object, ByVal e As System. EventArgs) Handles MyBase. Load'User code to place the initialization page hereIf Not IsPostBack ThenDim str As String = ConfigurationSettings. Receivettings ("constring ")Dim con As New SqlClient. SqlConnection (str)Da. SelectCommand. Connection = conDa. Fill (daset, "course info ")D

. xlwingsaddininstall : Copies the xlwings add-in to the XLSTART folderAfter installing the add-in, it'll be available as Xlwings tab on the Excel Ribbon. You need to give the interpreter path.Interpreter: The path to the Python interpreter (works also with virtual or Conda Envs), e.g. "C:\Python35\pythonw.exe" or "/usr/local/bin/python3.5" . An empty field defaults to that expects the interpreter to is set in the on pythonw PATH Windows or on .bash_p

Jupyter Notebook is a tool that runs Python through a Web pageSupport for segmented Python runs and intuitive viewing of resultsSupport multi-python environment, need to install (Conda)Installation steps1. Install the Python3 and set the environment variables2. Installing JupyterPIP3 Install--upgrade PIPPIP3 install Jupyter3. StartCommand line run, start, automatically open the Web console, the default port is 8888Jupyter Notebook--9999The default pat

markdown in Jupyter Reference 1Markdown Grammar Handbook (full finishing edition) reference 7.1 To set up link in jupyter, you need to set up two parts: The location to jump to (the destination)You need to add the following statement where you want to jump:a id=‘the_destination‘>a> 1 The ID here is assigned any value, and the following is used when adding a link To add a link to the text (an internal hyperlink to the destination), click here to jump t

/openblas/include/Export Cplus_include_pathAt this point, Openblas installation is complete.Caffe Compiling and testingWell, finally into the final point of the topic, talk not much, open dry!First, download the source package and unzip it to/home/caffeInstalling dependent librariesAccording to the official website:$ sudo apt-get install Libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev Protobuf-compiler$ sudo apt-get install–no-install-recommends Libboost-all-devAfte

After Ubuntu16.04 is installed in Cuda and CUDNN, install Tensorflow,tensorflow and OPENCV can download the corresponding installation package on the Internet and install it directly from Pip and Conda directly under the path where the installation package is located, as shown in:The prerequisite is to download a good installation package. After installing TensorFlow, you also need to add the system path in the ~/.BASHRC file, as shown inOpenslide is

--listavailableversions:2.7.10 NBSP;NBSP;NBSP;NBSP;NBSP;#NBSP;PYTHONNBSP;2 Latest Version 3.4.3 # Python3 Latest Version anaconda-2.2.0 # Support Python2.6 and 2.7anaconda3-2.2.0 # support for Python3.3 and 3.4 One of the shapes, such as x.x.x, is the official version of the Python version, and the other shapes, such as xxxxx-x.x.x, are either "derivative" or "release" after the same name and version. Anaconda is a scientific computing environment similar to canopy, but it is more convenient to