anaconda mac

1. Installing Anaconda: Tsinghua Mirror StationFor your operating system, select the appropriate version in the application software->conda, download link . The installation method is relatively simple and is not described in detail.The Windows System installation process needs to be noted, tick the Add software to the Windows path (can also be added manually, that is, in the environment variable path will be added to the Conda.exe file path), so that

For detailed help:Official document: "Installation Guide"Anaconda LocationAnaconda Command LineAnaconda Configuration MethodKickstart file formatKickstart CreateCD-based Linux installationAnaconda LocationCD, FTP, NFS, HTTPD, NFS* * Based on CD-ROM, install Linux, see text not * *Anaconda Command LineBoot: Linux [options]Options650) this.width=650; "src=" Https://s2.51cto.com/wyfs02/M02/06/2F/wKiom1mzdyXiBJ

VS Code + Anaconda to create a comfortable Python environment Recently has been using Anaconda to write code, but it is not easy to debug, and the other anaconda more biased towards data analysis, Python may be more biased towards the pychram, but my experience is pychram more cumbersome ... Start speed to catch up with MATLAB, so the use of experience is not ver

1, to the official website http://continuum.io/downloads Download Anaconda.Select linux64-bit-python2.72, install Anaconda, in Terminal input: CD ~/downloads;bash anaconda-2.2.0-linux-x86_64.shAfter carriage return, is the license file, receiving the license, Anaconda will be installed under ~/anaconda:You can enter directly.3, finally will ask whether to add

Install TensorFlow (CPU version)Familiar with the Anaconda command, you can refer to http://www.jianshu.com/p/d2e15200ee9bThe official recommendation is that you have the GPU immediately, but you can also install a CPU version, and the command to create the environment is:conda create -n tensorflowpython=3.6(Be sure to specify the Python version, I did not write python=3.6 at first, after various failures)Download the installation package first, the d

Ld-o. build_release/lib/libcaffe.so.1.0.0/USR/BIN/LD:-lpython3.5m not foundCollect2:error:ld returned 1 exit statusMakefile:572:recipe for target '. build_release/lib/libcaffe.so.1.0.0 ' failedMake: * * * [. build_release/lib/libcaffe.so.1.0.0] Error 1Here's another workaround, if you want to use Pyhton3, and Anoconda3 is certainly not going to use the Example.config in the Caffe package.You may have looked at config carefully and then deleted the comment before Pyhton3, and commented the Python

Anaconda is a good Python integrated development environment, you can also use Conda or pip to install PYTHON-OPENCV directly, but this installation method after the installation of OPENCV missing video packets, such as the following read video commands Import cv2 cap = Cv2. Videocapture (' Path/to/your/video.mp4 ') cap.isopened () You will find that the status is always false, and the Read Command Cap.read () also does not read the data. This is be

Boot process for boot media:Isolinux-AnacondaStructure within the disc media:Efi/efi relatedLIVEOS/LIVECD the associated image file.packages/Packageimages/store various boot media image files (image file).isolinux/The usage directory of the boot loader. Includes the boot loader configuration file, kernel, INITRD and other files.Repodata/repo dataCentos_buildtag a file that records the build date.GPL GPL license filerpm-gpg-key-centos-7 Gpgkey Filerpm-gpg-key-centos-testing-7 Gpgkey FileAnaconda1

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-x8

1. Installing Anaconda2Once installed, the native Python environment uses Anaconda's python2.7 environment.2. Installing py4jAfter you open the console on the local ctrl+r, use PIP to install py4j directly, because Anaconda has PIP installed by default and, of course, you can use Conda installation.installation command:pip install py4jWhat if I don't install the py4j problem?A: Because the Python version of the API for Spark relies on py4j, the follow

Anaconda Configuring mirroringMac and LinuxConda config--add channels Https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/conda config--set show_channel_ URLs YesWindows　　Under Windows, create a PIP directory directly in the user directory, such as: C:\Users\xx\pip, new file Pip.ini, the following[Global]index-url = Https://pypi.tuna.tsinghua.edu.cn/simplePIP configuration ImageLinuxModify the ~/.pip/pi

1, if the use of. sh file installation, then in the installation process to select Yes to add anaconda to the environment variables, the installation is complete, the default Python environment is Anaconda, no other action;2, if you copy the compiled Anaconda file, you need to add the environment variable manually: in the terminal input $sudo gedit/etc/profile, o

Reproduced in: http://blog.csdn.net/chenweiqian_zy/article/details/59109596 Installation of the 1.anaconda installation reference https://www.continuum.io/downloads/. For example, my installation command is: Bash anaconda2-4.3.0-linux-x86_64.sh 2. Install Jupyter Update: Conda Update Anaconda Installation: Conda Install Jupyter 3. Install TensorFlow Create TensorFlow Environment: Conda create-n TensorF

Tags: Linux highlight pip jupyter fix nts edit sudo conda1, first intsall Anaconda to Tsinghua Mirror https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Bash Ana ...Cannot appear jupyter after installation notebookWorkaround: Set the default browser to the appropriate browser in BASHRC.Open BASHRC: sudo gedit/home/.bashrc Then add the last line in BASHRC: Export Browser=google-chrome 2, In

The author Lucygill, reproduced please indicate the source (although I do not think there will be reproduced).When I first started learning Python, I used its own idle (which I found in the Start menu after installing Python) and later found that you could edit Python after setting up the environment in eclipse. However, as a beginner, the most commonly used is idle, because eclipse runs too much memory, and I do not need to develop any projects. Then I heard that pycharm is good for editing Pyt

First, install the Pycharm1. Choose Linux Download free community Edition default download2. Installation$ CD downloads/$ tar xfz pycharm-*.tar.gz$ CD pycharm*/$ CD bin/$./pycharm.shThe start screen will generate shortcuts on the desktop by defaultSecond, installation Anaconda1. Download the website2.bash anaconda2-4.0.0-linux-x86.sh3. Add Anaconda/python path in Pycharm's Files>>settings>>project interpreterubuntu16.04 Installing Pycharm

Fast installation of Opencv3 with Anaconda in Ubuntu My system environment: Ubuntu16.04, Anaconda3 (Python 3.6) Digression: In the pursuit of artificial intelligence on the road of continuous progress, the installation of many libraries let me very "egg pain", and especially the installation of Caffe and OpenCV in various pits have ... Enter the command in terminal: Conda install-c Https://conda.anaconda.org/menpo Opencv3 Then, according to the pro

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

Today, it's a magical thing to do when using Python to operate a Redis database, if you are using PIP install Redis to install a Python-attached module, but if you are using Conda in Anaconda Stall-c Anaconda Redis installed is the Redis database, this problem toss an afternoon, eventually still understand, in fact, in the use of Conda to install is redis-py this file, but as to the PIP installation and Con

In the process of working today, you encounter the problem of installing Anaconda using Conda to create a virtual environment, but after starting Jupyter notebook, you cannot find Python kernel in the virtual environment. Later on the internet found a solution, as follows:Create a virtual environmentFirst look at the commands that created the virtual environment at that time:create -n python2 python=2.7Use this command to create a python2 virtual envi