anaconda python mac

Introduction to Anaconda Theory Anaconda Introduction and Installation Tutorial Installation and simple use of anaconda under Windows Official Website Anaconda Configuration Tutorial ANACONDA distribution Simple, efficient, in-science computing:

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

The tutorials on the web are varied and similar. I had some problems with my installation, so I summed up a blog post.Sublime text is a lightweight, cross-platform, textual editor that expands its capabilities through the package.There are a lot of packages that build the Python environment, where I install the Anaconda package.1. Sublime Text Download: HTTP://WWW.SUBLIMETEXT.COM/3Fool-mounted, all the way

history %macro name n1-n2 n3-n4 ... n5. N6 ... Create a macro called Name, execute name is execute n1-n2 n3-n4 ... n5. N6 ... The code. %pwd Displays the current directory %pycat filename uses syntax highlighting a Python file (without the. py suffix name) %save filename n1-n2 n3-n4 ... n5 ... n6 ... Save too much code to file %time statement calculate the execution time of a piece of code %timeit Statement automatic selection of repetition and numbe

The little woman is not, can not solve in the anaconda environment to compile Caffe, also can not solve in Anaconda environment install TensorFlow, so can only be used with a python, a will use Anaconda Then, if you modify the file in ~/.BASHRC, that is, add the export path= "/home/myname/anaconda2/bin: $PATH", the inp

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

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

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"

Problem:ubuntu16.04 Anaconda Installation SucceededEclispe write Python code not available (pandas library, etc.)Reason:Eclispe the Python interpreter at this time ==> is not anacondaWorkaround:Eclipse uses the Anaconda Python interpreter(that is, enable eclipse to use the P

Anaconda is a scientific computing environment similar to canopy, but it is more convenient to use. The Package Manager 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 additional versions are required. When the installation is complete, you can see that Ana