anaconda and python

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Windows10 installing Anaconda+tensorflow (CPU) +keras+pycharm

"Install Anaconda3"Download: https://www.continuum.io/downloads, prompts during installation failed to create Anacoda menue refer to Http://www.cnblogs.com/chuckle/p/7429624.html when the error occurs. "Install TensorFlow"(Requires network link, offline installation reference: HTTP://WWW.JIANSHU.COM/P/C245D46D43F0)Open Anaconda Prompt, enter:Pip Install TensorFlow"Install Keras"(need network link, reference: http://www.jianshu.com/p/c245d46d43f0)Open

Uninstall Anaconda on Mac OSX

Anaconda was downloaded because of the convenience of learning Python, it provides a large number of Python toolkits, but for some reason it needs to be uninstalled.1. On Mac OS, the process of uninstalling is the process of removing the package. Locate the Anaconda installation path and drag it directly into the Recyc

CentOS Anaconda (python3.6) installation TensorFlow

It was an incredibly simple thing to install TensorFlow, but it was on my computer for one weeks. During the encounter all kinds of trouble, all kinds of pits, in this record, convenient for everyone. Errors include: Undefined symbol:zgelsd_ Importerror:cannot import name ' MultiArray ' WHL is not a supported wheel 1, install Anaconda: https://www.continuum.io/downloads/(i installed linux-64-python3.6)I started off directly in

Detailed introduction of open source packages and environmental management System Anaconda installation and use

Anaconda is a Python release for scientific computing that supports Linux, MAC, Windows, and provides package management and environmental management capabilities that can easily resolve multiple versions of Python coexistence, switching, and various third-party package installation issues. Anaconda is actually a soft

Using Anaconda in Pycharm

Python is a powerful programming language that provides a number of modules for scientific computing, often including NumPy, scipy, pandas, and matplotlib, which may depend on other packages or libraries, and are relatively cumbersome to install and use. Some people specialize in doing this sort of thing, compiling all the modules needed for scientific computing, and then packaging them in the form of distributions for users,

Ubuntu under Configuration Anaconda

Turn from: 57075388Installing AnacondaUbuntu under the library does not seem to bring Anaconda, is the self-contained pure python, and 2.x and 3.x are self-contained, but the package is more trouble, than one step installed anaconda. Anaconda's official installation site is in https://www.continuum.io/downloads/. Before you install, confirm that you want to insta

Installation and uninstallation of Anaconda on Linux environment

First download the Anaconda installation package on Linux:$ wget https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.shThen empower and execute the Setup program:$ chmod +x anaconda3-5.1.0-linux-x86_64.sh$./anaconda3-5.1.0-linux-x86_64.shThe installation process is as follows:$./anaconda3-5.1.0-linux-x86_64.sh Welcome to Anaconda3 5.1.0 onorder to continue the installation process, pleas E Review the LicenseAgreement. Please, press ENTER to

Anaconda installation and environment variable configuration

Recently in learning to use Python to write a deep neural network, before the school computer has been installed once, and now installed on their own computer, the process is also smooth, the installation process has been written for your reference. First of all can be downloaded on the official web with their own computer compatible with the Anaconda installation package, Web site as follows Https://www.c

Basic knowledge of Anaconda

Anaconda distribution is the easiest way to perform Python data science and machine learning. It includes more than 250 popular data science packages, as well as Conda packages and virtual environment managers for Windows,linux and MacOS.Conda makes installing, running, and upgrading complex data science and machine learning environments (such as Scikit-learn,tensorflow and scipy) easier and faster.

Python2 and Python3 are configured under WINDOWS10 and easy package management is implemented Anaconda __python

suitable for developers who want to build Python2 and Python3 coexistence environments and facilitate package management Anaconda is a release version of Python that has a very handy package management tool Conda Official Download Address https://www.anaconda.com/download/ Download two versions of Anaconda at the same time the following Python2 abbreviation

ubuntu16.01 Anaconda under the TensorFlow installation

First, download anaconda, install.sudo bash ana...........shSecond, configure environment variablesAdd the last sentence:/home/py/ana/bin is the installation addressInstallation completed reboot.Enter Python. I saw Anaconda.Third, Conda EnvironmentCreate an PY3.5 version of the environment named TensorFlowHere the official website says with the default source. It is quicker to use the one I recommended belo

CENTOS7 installation R language and Anaconda

https://cran.r-project.org/src/base/Download the R language Compression pack can also be installed online Yum Install https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm Yum Install R You can download the Windows version through Cran Mirror =============== Split Line ================== Anaconda refers to an open source Python release that contains more than 180 science packages and

Introduction to Anaconda

First, after the installation of Anaconda to update.Description: For operations in a Windows environment, refer to the specific books in the Linux environment.1. Go to cmd command linePerform1 Conda Update Conda 3 Conda Update Anaconda 4 Conda Install MKL1 Conda install pylint html5lib SeabornFinally, install some anaconda tools.Second, jupyter some convenient co

Theano Study Notes (1. Environment Anaconda + Theano + VS2010 + CUDA)

In recent days, we have been exposed to deep learning, in view of the requirements of deep learning for speed and GPU computing, and the increasing complexity of the derivation calculation after the network layer deepens, the intention is to build a Theano platform (discard matlab), only for your own entertainment (fancy irrigation) ... Main steps: CPU Calculation of Theano Build Cuda VS2010 GPU Computing of Theano 1.Theano CPU OnlyConditions for installing Theano:

Python3 fails to install caffe in anaconda, and python3caffe

Python3 fails to install caffe in anaconda, and python3caffe Python and Python3 are both languages. 0x00 import caffe FAILED  The environment is Ubuntu 16 cuda 8.0 NVIDIA 361.77 Anaconda2. Caffe was unavailable yesterday: >>> import caffeTraceback (most recent call last): File " All kinds of tossing are invalid. After Anaconda is reinstalled, the error disappear

Anaconda installation two or three things

The recent intention to transfer to the Python3 before the installation of the anaconda2 can not be normal use of Conda update (did not realize that has been transferred to the pit) to directly delete the anaconda2 change Anaconda3 did not expect to fall into the pit ...But the pit is quite distinctive. Simply summed up a good first pit Installation near end times wrongFailed to create Anaconda menusFailed to add

Install Python2 and Python3 environments (Python2 and Python3 coexist) in Anaconda 3 in Windows environment

blogger himself in learning machine learning process, see the related books use Python version is different, but want to each version can know how to use, next, bloggers to introduce a more simple and convenient way: First: Install the Python environment, highly recommended to use Anaconda,anaconda is a

Ubuntu16.04 installation configuration Numpy,scipy,matplotlibm,pandas and sklearn+ deep learning tensorflow configuration (non-Anaconda environment)

Python-dev If the previous command doesn't work, you can use the following command to resolveUsing the Aptitude tool sudo apt-get install aptitudesudo aptitude install Python-dev Install the Python-dev now to install the PYTHON-PIP. sudo apt-get install

Use Anaconda for environment and package management

1 Managing the Environment Create and activate an environment Use the "Conda create" command, followed by any name you wish to call it: Conda Create--name Snowflake Biopython1 1 This command will create a new environment for Biopython, where the Anaconda installation file/envs/snowflakes activates the new environment Linux,os X: SOURCE Activate Snowflakes1 1 Windows: Activate snowflake1 1 Small tips: The new development environment will be install

Anaconda Configuration OpenCV

When using the Python language for image processing, we often use anaconda. This software is powerful and integrates a lot of useful python dependencies including numpy,pandas,matplotlib and so on. In addition, the inside with the Jupyter visual editor is also very useful, strongly recommended, it is more interactive, convenient for us to debug the code. Of cours

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