How to quickly deploy the Python development environment on windows, including a variety of common third-party libraries?

Is it possible to achieve everything through apt-get in Ubuntu? Is it possible to achieve everything through apt-get in Ubuntu? Reply: Anaconda, a Python Scientific computing platform.
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 powerful.

First, download and install. Anaconda provides two versions: Python2.7 and Python3.4. if you need another version, you can also create one by using conda. After installation, you can see that Anaconda provides Spyder, IPython, and a command line. Next let's take a look at conda.

Enter conda list to view all Python extensions that are provided during installation. A rough look, including commonly used Numpy, Scipy, matplotlib and networkx, and network-related extensions such as beautiful-soup, requests, flask, and tornado.

Compared with Canopy, Anaconda supports more versions of Python and is very tight in support of the new version of Python (Sage does not support Python3.x because the dependent SciPy does not support Python3, however, Anaconda supports Python 3.4 and, which indicates the problem. In addition, it is more convenient to install Anaconda on the Linux platform (managed by conda. First The interface effect is almost the same as that of Matlab. The interface effect is almost the same as that of Matlab.
Better than Matlab, the editor supports syntax highlighting, automatic completion of commands, and various background topics.

As mentioned above, Anaconda describes how to quickly deploy the Python development environment on windows.
It's really easy, and it won't take much time.


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Python Scientific computing Swiss Army knife-Anoaconda installation and configuration

Python is a powerful programming language that provides many scientific computing modules, including numpy, scipy, and matplotlib. To use Python for scientific computing, you need to install the required modules one by one. these modules may depend on other software packages or libraries, so installation and use are relatively troublesome. Fortunately, someone is doing this kind of thing, compiling all the modules required by scientific computing, and then packaging them for users to use in the form of release. Anaconda is one of the commonly used scientific computing releases.

The built-in package manager conda is also very powerful, and even supports coexistence of multiple versions of Python

Home Address: Anaconda Scientific Python Distribution

1. download and install
We recommend that you download the zip package at a high speed. The installation process is silly, and it is no different from installing other software at ordinary times.

2. run 'conda list' on the terminal to check which packages are installed.

3. get free academic License (skip this step if you do not need a high-performance Library)
Application address: The Anaconda Python Distribution for Academics
After you apply for an email address using 'edu', The 'license _ academic 'file will be automatically received in the email address and placed in '~ /. Continuum 'directory.

4. install additional packages (executed in the command line environment)
$ Conda update conda
$ Conda install accelerate
$ Conda install iopro

The following is the main interface of spyder. The variable display window is easy to use.


5. change the background topic of the editor.

6. change the background of the IPython terminal

7. cutting editor, multi-text editing at the same time


After simple configuration, the integrated development environment becomes Cool!

Detailed process introduction on my blog: Python Scientific computing Swiss Army knife-Anaconda installation and configuration Pip install-r requirements.txtWindows-independent WinPython
Anaconda
Canopy
Three major releases, one-stop solution. In addition to the first source, only the pip source exists, and both have their own third source. The first choice is easy_install, followed by pip. Sometimes there is a problem with version installation or the version is incorrect. you need to download the corresponding package by yourself.

In addition to this, you can install WinPython, Anaconda, and Canopy. I personally do not recommend Anaconda.

Anaconda download
Continuum Analytics: Documentation-Continuum documentation Continuum Analytics: Documentation

Popular Python Scientific computing release-chinsea sailors-blog channel-http://CSDN.NET (Paste a link, such as infringement to delete) http://blog.csdn.net/rumswell/article/details/8927603

Python modules.
Python Extension Packages for Windows-Christoph Gohlke http://www.lfd.uci.edu /~ Gohlke/pythonlibs/

This is also an excellent resource website.
SourceForge-Download, Develop and Publish Free Open Source Software http://sourceforge.net/ Directly package PySci.
For example
WinPython
Download Anaconda Python Distribution
The coexistence of different versions does not affect each other. I use the WinPython release. no one mentions python (x, y? Most scientific computing libraries are included. There are also IDE (IDLE, Spyder), PyQt, plotting, tabulation, packaging, and so on. The documentation is very detailed. only Python 2 is available in the United States. In addition, the apt package manager also has pip. Download the source code package of the corresponding database to github, access the folder under the folder, python.exe setup. py install
Applicable to source code packages packaged using setuptools. Visual Studio 2015 supports Python and is not installed by default during installation (you can install python in the Custom mode). python related tools can be installed in self-built python projects.

In other words, the best IDE on windows is Visual Studio, none of which