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
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 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 Ana
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
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
. Click View > Show console or the command "Ctrl + key combination" to bring up the ST3 console. Paste the code just now in the console and click Enter . Finally restart the ST3.If you see the package control item in Perferences->, the installation succeeds.Click on the package Control, which you just generated, enter the install carriage return, or click on the red Line callout. May need to wait a while, the lower right corner has a logo swinging around. New Window (
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
Since Anaconda comes with Python by default (probably not the latest version), you can install Python directly by installing Anaconda.This article focuses on the solution to add a previously installed Python to Anaconda after installing
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.
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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
/usr/bin/python establishing a soft connectionYou should be able to see the new version number.650) this.width=650; "height=" "src=" Http://static.oschina.net/uploads/space/2016/0824/110544_qAWn_2893628.png " Width= "585" style= "Border:none;margin:auto;height:auto;"/>However, Yum will have problems in this way, so you need to change the Yum fileVi/usr/bin/yum Change the #!/usr/bin/python of the file header
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
Follow the development of Python in old boy education [Article 7]: Object-oriented 2, old boy python
Field
Static Field application:
Memory saving:
Generally, you can access your own fields.
Rule: common fields can only be accessed by objects, and static fields can be accessed by classes (object access is allowed
variable and install PIP option.After installing, use Win+r shortcut key to open cmd, enter Python, display as, display version information installation is successful.Otherwise, the environment variable may not be added successfully, then you need to open the environment variable, manually add the next.Specifically, manually add the following:Open System variables, advanced environment variables, System Properties, and add a semicolon after path, plu
Anaconda package management tools /Anaconda packages Management Tools Anaconda is the world's most popular Python data science platformAnaconda's guarantee tool allows users to set up specific environments for different projects, and the switch is very convenient, greatly improving the management efficiency of various
in the tutorial.The system chooses which Python is based on path system paths.When executing a program, the system searches the system path for an executable file of the same file name. The presence of a Python version means that there are multiple executable programs whose names are Python, at which point the system chooses which version depends on the path in
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