anaconda python 3 6

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

-pip.py -O - |python3#ln -s /opt/apps/python3.5/bin/pip-3.5 /usr/bin/Install required third-party librariessuch as Mysql-connector and requests#pip-3.5 install mysql-connector-python#pip-3.5 install requestsIf the following error occurs when you install PIP:ImportError: No module named bz2This indicates that the installed Python 3 is missing a dependent library b

1.ST3 Download Address: Http://www.sublimetext.com/3 2. Install the sublime Text build 3114 Setup.exe application. The advantages of 3.ST3 tools are lightweight, simple tools. So sometimes you need to rely on some plug-ins. To use a number of plug-ins to extend the Sublime text feature, you need to install a plugin manager called Package Control-something you have to install manually. But once you've instal

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 e

As a python development environment sublime Text 3, with the Anaconda will be more powerful. Anaconda is currently the most popular and powerful Python code hint plugin.Tools/Materials Sublime Text 3 build3103 Plug-i

Review 6 sessions (December 3)2.5/2.6 module Use2.7 Object-oriented introductionProperties of Class 2.8Method of Class 2.9Built-in Methods for class 3.0Inheritance of the 3.1/3.2 classNotes:Module:Modules are the basic way to organize your code in Python.A python script can run on its own, or it can be imported into another script, which we call a module when the

Python Data Analysis Prerequisites:1.Anaconda operationFirst, you should set the local data directory as the working directory, so that you can load the local data set into memoryImport Osos.chdir ("d:/bigdata/workspace/testdata/"# Sets the current path to the working path OS.GETCWD () # Gets the current working path2. Installing GraphvizExcerpt from official website:What is Graphviz?Graphviz is open sour

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

with the installation. A cursory look, which includes commonly used Numpy, Scipy, Matplotlib and Networkx, and other network-related extensions such as Beautiful-soup, requests, flask, tornado, and common scientific toolkit , Scikit-image,scikit-learn and so on. Other packages that are not available can be installed through Pip,easy_install, or they can be installed through its unique Conda, conda install * * *, if you need to specify a version, you can also use [package-name]=x.x to specify. C

in it, so install it first. Conda install scikit-learnIf you want to specify a version, you can also use [package-name] = x. x to specify it. Conda's repo extensions are not too new. if you want to update them, you may need to use PyPI or download the source code yourself. Conda and pip are well correlated. You can use conda to manage things installed using pip, which is better than Canopy. Nltk, jieba, and gensim I installed with pip. Another requirement for this scientific computing environm

One, the required installation packageBecause Scikit-image is based on scipy, installing NumPy and scipy is sure. To display the picture, you also need to install the Matplotlib package, combined, the required packages are:1 Python >= 2.62 Numpy >= 1.6.13 cython >= 0.214 Six >=1.45 SciPy >=0.96 matplotlib >= 1.1.07 networkx >= 1.88 Pillow >= 1.7.89 Dask[array ] >= 0.5.0Comparison, installation is very cumbersome, especially scipy, on Windows Basic ins

Anaconda multi-Environment multi-version python configuration operation method, anacondapython Conda test Guide Before starting this conda test, you should have downloaded and installed Anaconda or Miniconda. Note: After installation, you should close and re-open the windows command line. I. Conda test process: Use conda. First, we will confirm that you have inst

you want to specify a version, you can also use [package-name] = x. x to specify it. Conda's repo extensions are not too new. If you want to update them, you may need to use PyPI or download the source code yourself. Conda and pip are well correlated. You can use conda to manage things installed using pip, which is better than Canopy. Nltk, jieba, and gensim I installed with pip. Another requirement for this scientific computing environment is that multiple

Https://www.zhihu.com/people/alexwhu/answersIf you use Anaconda, you can refer to the following steps:1, open Anaconda Navigator, select the left side of the Environment menu environments, in the middle will list the current configuration of the various environment names, such as root, TensorFlow, etc. amp;amp;amp;amp;amp;lt;img src= "Https://pic1.zhimg.com/v2-795b6c54d393a952019b112d870d6e40_b.png"

Anaconda multi-Environment multi-version python Configuration Guide, anacondapythonAnaconda multi-Environment multi-version python Configuration Guide From: http://www.jianshu.com/p/d2e15200ee9b Address: http://conda.pydata.org/docs/test-drive.htmlConda test Guide Before starting this conda test, you should have downloaded and installed

using Conda, which is better than canopy. I used pip to install the NLTK, Jieba and Gensim. Another requirement I have for this scientific computing environment is the ability to coexist with multiple Python versions, especially the coexistence of 2.x and 3.x. This can be done by virtualenv. Anaconda is also achieved through it. The following is a Conda to crea

Check the Conda versionUnder CMD in Windows, enterConda--version650) this.width=650; "src=" Https://s1.51cto.com/wyfs02/M00/9E/D4/wKioL1mW9ITxfl-2AAAEqMcLgSc252.png "title=" 1.png "alt=" Wkiol1mw9itxfl-2aaaeqmclgsc252.png "/>One of the native Anaconda comes with the Python3.6 version. Create an environment named Python27 in Conda and download the corresponding version of Python2.7 cmd input conda Create--name python27

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

Name: Py2.bat, the script name is the command that needs to be executed each time the version is switched.Script Content@echo Offset Path=C:\Users\meelo\Anaconda2; C:\Users\meelo\Anaconda2\Scripts;%path%The purpose of the script is to temporarily add the Python version path that needs to be used to the system path. Note that the system path is temporarily changed so that the other command line (shell) is not affected.The green part of the script is t

interface as shown in.1. Click next–> I agree–> next to enter the Select installation directory interface.2, in the selection of the installation directory interface, the default installation path is C drive. If you want to change the installation path, first create a new Anaconda3 folder in the directory you want to install, and then select the path, as shown in.3, then click Next to enter the advanced options interface. With two option boxes, it is