now conda

Recently, we have been using Python for Chinese natural language processing. The IDE is PyCharm. PyCharm is indeed the first choice for Python development, but it is still lacking in scientific computing. For this reason, I have tried EnthoughtCanopy, but Canopy feels complicated. Managing Python extension Anaconda is a scientific computing environment similar to Canopy, but it is more convenient to use. The built-in package manager conda is also very

Recently, we have been using Python for Chinese natural language processing. The IDE is PyCharm. PyCharm is indeed the first choice for Python development, but it is still lacking in scientific computing. For this reason, I have tried EnthoughtCanopy, But Canopy feels complicated and it is not convenient to manage Python extensions. Until today I found Anaconda. Anaconda is a scientific computing environment similar to Canopy, but it is more convenient to use. The built-in package manager

Anaconda is a scientific computing environment similar to canopy, but it is more convenient to use. The package manager with Conda is also very powerful. The first is to download the installation. Anaconda provides two versions of Python2.7 and Python3.4, and can be created by Conda if other versions are required. When the installation is complete, you can see that Anaconda provides Spyder,ipython and a co

Keyword: Anaconda opencv3 yumI tried to run the catch_usb_video.py script (source: http://www.cnblogs.com/neo-T/p/6426029.html) in the Anaconda Python environment, and the results reported the following error:OpenCV (3.4.1) error:unspecified Error (the function is not implemented. Rebuild the library with Windows, GTK + 2.x or Carbon support. If you is on Ubuntu or Debian, install Libgtk2.0-dev and pkg-config, then re-run cmake or configure script) in Cvnamedwin Dow, File/opt/

-------------------------------------------------Introduction of the system environmentIi. Introduction of softwareThird, installation ConemuIv. Installation of AnacondaV. Create a virtual environment-------------------------------------------------Introduction of the system environmentWIN7-64 is a flagship version that connects to the Internet.Ii. Introduction of softwareConemu is a multi-task window that replaces the Windows default cmd black box, which is very beautiful.Anaconda is an open so

Anaconda Anaconda is essentially a software release that contains more than 180 science packages and their dependencies, including Conda, Python.Simply put, installing Annaconda is equivalent to installing Python, Conda, and commonly available numpy, scipy, pandas, and so on, without having to download the configuration separately. Because of the split between the Python3 and the Python2, the use of virtua

But after we installed the Anaconda, the path of the module we used when we use Ipython is Anaconda path, and the module we installed with PIP can no longer be used in Ipython. Anaconda uses tools/command Conda for package and environment management, and already contains Python and related tools.Conda just like Pip, we also use the package when we install it Conda Install NumPy Such a command. # View insta

enter either Python or Pyana. Note:1. In ~/.BASHRC's document, Export path= "/home/myname/anaconda2/bin: $PATH" is to be added2. The above two lines in each boot time is to enter, if you do not want to enter each time, you want to add these two lines to the ~/.BASHRC file3. If you want to cancel the alias declaration, use Unalias py27 or delete the path in the ~/.BASHRC, and then source it again ~/.BASHRC Appendix: Simple Use of Cona Conda create-n [

Machine learning process, in addition to Spyder,anaconda is also a kind of python, it is an open source release version, mainly for scientific computing. It seems to me that the main advantage is that many third-party libraries are pre-installed, and the Conda Install command is added to the anaconda, which is especially handy for installing new package, and bringing Spyder IDE and Jupyter notebook, etc. Download: Download from the official website: D

Support Python2 's Chinese code# -*- coding: UTF-8 -*-Meaning of calling Python#!/usr/bin/python是告诉操作系统执行这个脚本的时候，调用 /usr/bin 下的 python 解释器；相当于写死了python路径;#!/usr/bin/env python (推荐）这种用法是为了防止操作系统用户没有将 python 装在默认的 /usr/bin 路径里。当系统看到这一行的时候，首先会到 env 设置里查找 python 的安装路径，再调用对应路径下的解释器程序完成操作。会去环境设置寻找 python 目录,推荐这种写法CONEMU Configuring environment variablesalias cl=conda env listalias cc=conda create -n $*alias coa=a

Modify the Build_win.cmd as follows:@echo off@setlocal enabledelayedexpansion:: Default valuesif DEFINED appveyor (echo Setting appveyor defaults if NO T DEFINED msvc_version Set msvc_version=14 if not DEFINED With_ninja set with_ninja=1 if not DEFINED cpu_only set CP u_only=0 if not DEFINED cuda_arch_name set Cuda_arch_name=auto if not DEFINED cmake_config set cmake_config=release If not DEFINED USE_NCCL set use_nccl=0 if not DEFINED cmake_build_shared_libs set cmake_build_shared_libs=0 if N

　　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 of third-party package installation issues. Anaconda uses tools/command Conda for package

In fact, Anaconda and Jupyter notebook have become the standard environment for data analysis.Simply put, Anaconda is the package Manager and Environment Manager, Jupyter notebook can combine the code, images, and documents of data analysis into a single Web document.Next I introduce the next anaconda in detail, and at the end give Jupyter notebook:What is 1.Anaconda?2. How to install?3. How do I manage packages?4. How do I manage the environment?5.Jupyter notebook How to get started quickly?Wha

Ubuntu 1: Download Anaconda2 V4.0.0 (Ubuntu from the Anaconda official online download, using Windows platform download upload to the domestic mailbox, and then download from the mailbox, speed up the obvious) 2: Install Anaconda Bash/path to download file/anaconda2-4.0.0-linux-x86_64.sh 3: Create Conda Environment # Create A new Conda environment with Python 2.7.x

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

Anaconda Overview Anaconda is a Python release for scientific Computing, supports Linux, MAC, Windows, and provides package management and environmental management capabilities to easily address multiple versions of Python coexistence, switching, and a variety of third-party package installation issues. Anaconda uses tools/command Conda for package and environment management, and already contains Python and related tools. Here we first explain the dif

1. Download (direct to Tsinghua image download) Download link, choose the right version, I tried a few, chose a download the fastest, forgive my slag speed, official website in foreign countries, must look for mirrors, otherwise very slow very slow,,,,,, This step is really slow, Re-select the download URL, this is the official website, still very slow, official website Tsinghua Mirror is the fastest Tsinghua Mirror connection here is best according to the above the mirror of the Anaconda W

usually requires only one command! In addition, if you install using PIP, the user can run the TensorFlow program from any directory on the system. in Anaconda, you can use Conda to create a virtual environment. However, in Anaconda, we recommend installing TensorFlow with the pip install command instead of conda the install command. Note: The Conda package is

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 the installation package to Tsinghua's open source image station, By the way Amway under

1. Why use a Python virtual environmentThe actual work, we touch the Python version and the relevant version of the Web framework is often different, such as some combinations may be python2 + Django1.8, some may be python3.6 + Django1.12, two is OK, I installed two versions of P on the computer Ython not good?However, if you have 5678 projects, you need 5678 sets of Python environments? This is the turn of the virtual environment.2. Download and installVirtual Image:Download the image of Tsingh