environments, you may miss or cause redundancy. For this, there is an extension tool virtualenvwrapper that can help you manage each environment in a unified setting.2, Venv. Its implementation is largely based on virtualenv and is very similar to the way it is used. Python now has a built-in venv.3, Conda. This tool is equivalent to pip + virtualenv + virtualenvwrapper, which not only creates and manages a virtual environment, but is also a package
First, download and install AnacondaFirst to https://www.continuum.io/downloads download Anaconda, now the version has python2.7 version and python3.5 version, download the corresponding version, the corresponding system anaconda, It is actually a sh script file, about 280M or so.This series takes windows7+python3.5 as an example, so we download the version in the Red box:Name is: Anaconda3-2.4.1-windows-x86_64.exeis an executable exe file, the download is complete, the direct double-click can b
anaconda2-4.1.1-linux-x86_64.shor 3.5 version:# bash anaconda3-4.1.1-linux-x86_64.shDuring the installation process, you will be asked to install the path, directly enter the default on it. There's a place to ask if you want to add the Anaconda installation path to the environment variable (. BASHRC) , you must enter Yesafter successful installation, there will be a Anaconda2 folder in the root directory of the current user , which is the installed content. In the terminal you can enterConda In
version number of the CUDNN that you actually downloaded.:Finally, let's see if the Cuda is still available after verifying the installation CudnnNVCC--version Finally install the latest version of TensorFlowYou can refer to TensorFlow's official installation tutorial (https://www.tensorflow.org/install/), the official website provides the PIP, Docker, virtualenv, Anaconda or source code compiled method installation TensorFlow, we mainly introduce here with Anaconda installation. Other install
common Python module, and the difference in the speed of operation is gradually narrowing.2. How can i get to Numba ? The recommended way to install Numba is to use Conda package ManagementConda Install NumbaYou can also use Pip to install Numba, but the latest release is only a day long. However, as long as you are able to use Conda, I would recommend using it as it is able to install for you such as CUDA
version
CD ~/downloads/
bash anaconda3-4.4.0-linux-x86_64.sh
The anaconda is usually installed in the/OPT directory, and if it is installed in the home directory, then the environment directory needs to be determined after activating the environment.
SOURCE Activate Tf-gpu
echo $PATH
TensorFlow Settings
When we install the Anaconda, we need to set up Jupyter and install the TensorFlow GPU.
Conda Create--name Tf-gpu python=3.6
source activate Tf-gp
installation 1.1 new version Anaconda with Jupy Ter Currently, the latest version of the Anaconda is brought Jupyter notebook, do not need to be installed separately1.2 old version Anacodna need to install Jupyter
Jupyter Notebook installation of the official website
Prerequisites for installing Jupyter notebook: Python (python 2.7 or python3.3) is already installed
Specific installation methods: The official proposal to use Anaconda installation Jupyter installation completed Anaconda, if the
in the middle, all allowed.
Third, the installation of MinGW.Other tutorials Add path C:\Anaconda\MinGW\bin to environment variables; C:\Anaconda\MinGW\x86_64-w64-mingw32\lib; , but you will find that there is no MinGW this directory C:\Anaconda\, so the best way is to use the command to install, do not need to download what mingw-steup.exe, and so on.Installation method:1. Open cmd (note that the Windows command prompt does not go into the Python environment or prompts for syntax errors, becau
in Anaconda3)Full operation in Anaconda cmd1 first create an environment named Python2 in Conda and download the corresponding version python2.7Conda Create–name Python2 python=2.72) activating Python2 EnvironmentActivate Python23 Download Spyder and Jupter in Python2 environment notebookConda Install Spyder#conda Install jupyter ③delegateerror:pdfdelegatefailed ' system could not find the specified file.
Directory (?) [+] 1. General means
Install Python, and related packages (NumPy, matplotlib)
Installing OPENCV
Copy cv2.pyd fileCopy the Cv2.pyd from the D:\opencv3.0\opencv\build\python\2.7\x86 path to the D:\Python26\Lib\site-packages
Test>>> Import Cv2>>> cv2.__version__
2. Anaconda
This approach does not work under the Anaconda Python Development Kit. It is more feasible to test by typing at the command line:
Conda Install--channel Https://conda.a
When you install Keras,import Keras with Pip after the normal installation completes Python 2.7, you will be prompted not toTensorFlow initially does not support Windows environments and is now compatible with Windows, but requires Python 3. The installation steps are as follows:Install the Anaconda link first: https://www.anaconda.com/download/download the Windows 2.7 version and install it directly after the download is complete. I want to be able to run Python 2.7 locally, and also use Pyth
Install Theano, first install Anconda, Last Post has introduced, here no longer repeat1. Conda install MinGW Libpython in Anconda prompt2.conda Install Theono3. Modify the environment variables,D:\ProgramFiles\Anaconda3;D:\ProgramFiles\Anaconda3\Library\bin;D:\ProgramFiles\Anaconda3\MinGW\bin;D:\ProgramFiles\Anaconda3\MinGW\x86_64-w64-mingw32\lib;D:\ProgramFiles\Anaconda3\Scripts;NEW: PYTHONPATHD:\Program F
How to install the quality control tool for micro-organisms in Linux
If pip or conda has been installed in Linux, the installation of cutadapt is relatively simple, for example:1. pip InstallationPip install -- user -- upgrade cutadaptAdd Environment VariablesEcho 'export PATH = $ PATH:/your path/cutadapt-1.10/bin'> ~ /. Bashrc
2. conda InstallationConda install-c bioconda cutadapt
3. If unfortunately ne
Prerequisite:The Python environment then installed the next moduleBeautifulsoup4,lxml,requestsI certainly recommend Anaconda , on the basis of pip or conda installation on the lineSuch asC:\>conda Install lxml BEAUTIFULSOUP4 requestsIn fact, climb down is not very difficult, whether it is requests or urllib, you can download down the page, After the capture of data cleaning and integration seems more import
: ainterface a = new Ainterfaceimp (); Such a, a coupling relationship arises, such as:Class a{Ainterface A;A () {}Amethod () {A = new Ainterfaceimp ();}}ClassA and Ainterfaceimp are dependencies, and if you want to use Ainterface's other realNow you need to change the code. Of course, we can build a Factory to generate what we want based on conditions.The specific implementation of ainterface, namely:interfaceimplfactory{Ainterface Create (Object condition) {if (condition =
, download the corresponding version, the corresponding system anaconda, It is actually a sh script file, about 280M or so.This series takes windows7+python3.5 as an example, so we download the version in the Red box:Name is: Anaconda3-2.4.1-windows-x86_64.exeis an executable exe file, the download is complete, the direct double-click can be installed.At the time of installation, suppose we install the D packing directory, such as:and select all two options to write the installation path to the
CMD,CD to the Apache bin directory> f:> CD apache24/bin/Type the following code to add Apache as a system service (named Apache24)> Httpd-k install-n Apache24Now that Apache is installed into the system service, you can then use ApacheMonitor.exe to simply manage Apache services:The above is the simple configuration of Apache.Django Installation:First install Miniconda, directly run the Miniconda installation program, select Miniconda because Miniconda built-in
Scrapy installation -------- Windows, linux, mac and other operating platforms, windows Operating linux toolsScrapy Installation
Scrapy can be installed in multiple ways. It supports Python or later, or Python or later. The following describes the scrapy Installation Process in the py3 environment.
Scrapy depends on a large number of databases. It must at least rely on the Twisted 14.0, lxml 3.4, and pyOpenSSL 0.14 libraries. The environments on different platforms are different. Therefore, befo
Recently used Anaconda more, because it inside the package is very full AH. If the next native Python is to be used, you have to install it yourself.But some packages are dependent on each other and are really crazy when they are loaded. The lazy man thought of Anaconda's set of suits.Here's the problem: Anaconda can only download one version of Python, such as the latest Anaconda 4.4, can only download python3.6 and python2.7 version, but girl I want to use python3.4 AH.Update to the specified
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