anaconda for linux

　　Anaconda is a Python release for scientific computing that supports Linux, MAC, and Windows systems, and contains numerous popular scientific calculations and data analysis Python packages. In addition, Anaconda provides package management and environment management capabilities to easily resolve multiple versions of Python coexistence, switching, and a variety

"Background" Python is easy to use, but it's a headache for package management and Python versions, especially when you're using Windows. To address these issues, there are a number of distributions of Python, such as Winpython, Anaconda, and so on, which pack Python and many of the most popular packages to facilitate direct use of the "overview"Anaconda is a Python release for scientific computing that sup

Tags: configuration file ext Linux CTO tips MacOS TPs AC # #Installation and use of linux7 anaconda System environment#cat /etc/redhat-releaseCentOS Linux release 7.2.1511 (Core)#python -VPython 2.7.5 Download Anaconda: Click Anaconda2Description: Choose the version you need, here I use python2.7, click on the ri

First, Anaconda Introduction:Anaconda is an open source version of Python, primarily for scientific computing. We can simply understand that Anaconda is a python that is preloaded with a lot of third-party libraries that we use or do not use. and the Conda Install command is added to Anaconda in comparison to the familiar pip install command. When you are familia

Python is a powerful programming language that provides many modules for scientific computing, including NumPy, scipy, and Matplotlib. To use Python for scientific computing requires one by one of the required modules to be installed, which may be dependent on other software packages or libraries, making it relatively cumbersome to install and use. Fortunately, someone is doing this kind of thing, compiling the modules needed for scientific computing and then packaging them for use in the form o

When it comes to digital image processing programming, perhaps most people will think of MATLAB, but MATLAB has its own shortcomings:1, not open source, the price is expensive2, the software capacity is large. Generally more than 3G, high version even up to 5G or more.3, can only do research, not easily converted into software.Therefore, we use the Python scripting language here to do digital image processing.To use Python, you must first install Python, which is typically 2.7 or more, and is ea

1. Why Choose Anaconda?Anaconda solving Python use pain pointsPython works but the headache is that the package manages different versions of the Python issue, especially in the Windows environment.2. What is Anaconda?The anaconda features a powerful and convenient package management and environmental management functi

When installing the CentOS Linux operating system using a CD-ROM, a software called Anaconda is used, but there is no operating system on the disk before the system is installed, and there is no running environment for the program. So there's a compiled kernel and ramdisk and init process in a directory on the disc, starting with Init Anaconda.Anaconda supports both text and graphics installation interfaces

This article describes how to install Anaconda and python on windows. it is very good and has reference value, for more information about how to install Anaconda and python on windows, see this article. When it comes to digital image processing programming, most people may think of matlab, but matlab also has its own shortcomings: 1. not open-source, expensive 2. large software capacity. Generally, it is 3

Anaconda is a Python release for scientific computing that supports Linux, MAC, Windows, and Python packages that contain a number of popular scientific calculations and data analysis.The most tedious of Python learning is the management of different versions and libraries, and Anaconda is managing all versions as packages (including Conda).Can go to Tsinghua's o

apt-get install Libssl-dev libv4l-d EV v4l-utils Install OpenCV 3.2 $ git clone https://github.com/opencv/opencv.git $ cd opencv/$ git checkout tags/3.2.0 $ CD opencv/$ mkdir build $ cd build/$ cmake \-dcmake_build_type=release \-dcmake_install_prefix=/usr/local \ \-dwith_c Uda=off \-dbuild_docs=off \-dbuild_examples=off \-dbuild_tests=off \-dbuild_perf_tests=off \. # If CMake hangs during "icv:downloading ippicv_linux_20151201.tgz ..." $ icv_path=: /3rdparty/ippicv/downloads/

For details about how to install Anaconda and python on windows, anacondapython When it comes to digital image processing programming, most people may think of matlab, but matlab also has its own shortcomings: 1. Not open-source, expensive 2. Large software capacity. Generally, it is 3G or above, and the version is later than 5g. 3. You can only do research and it is not easy to convert it into software. Therefore, we use the Python script language fo

Anaconda is a Python release for scientific computing that supports Linux, MAC, Windows, and Python packages that contain a number of popular scientific calculations and data analysis. The most tedious of Python learning is the management of different versions and libraries, and Anaconda is managing all versions as packages (including Conda). Can download th

This article mainly introduces you to the installation of Anaconda and Python tutorial in detail, very good, with reference value, need to refer to the friend When it comes to digital image processing programming, perhaps most people will think of MATLAB, but MATLAB has its own shortcomings: 1, not open source, the price is expensive 2, the software capacity is large. Generally more than 3G, high version even up to 5G or more. 3, can only do research

plus *)Conda create-n new_env--clone old_env Creating a new environment by cloning old_envConda remove-n env_name Delete an environment[Source]activate env_name activation environment (Linux plus source, same as below)[Source]deactivate exiting the current environmentPackage Management :Conda list shows Conda installed packagesConda install-n/--name env_name pack_name using Conda installation package into the environmentConda Install Pack_name instal

Using the Conda install package name to install the required Python is very convenient, but the official server is abroad, so the download speed is very slow, the domestic Tsinghua University provides the Anaconda warehouse image, we only need to configure the Anaconda configuration file, add Tsinghua's Mirror source, Then set it as the first search channel, see the official description of

is complete, you will be prompted to add an environment variable, enter Yes and then return: This anaconda installation was successful. The terminal window prompts you to reopen a terminal for the environment variable to take effect. Enter Python in a new terminal to indicate that it is not a python from the Linux system: Alternatively, you can make the newly configured environment variable effective

The easiest way to install anaconda is to download the latest Anaconda Installer bash script and run it.in the Anaconda Downloads Page Find the latest version of Anaconda for Python 3 . Currently the latest version is 5.1.0. Switch to /tmp directories on the serverCd/tmpYou can delete it after you run it.Use the wg