... yeschecking for inttypes.h ... yeschecking for stdint.h ... yeschecking for unistd.h ... yeschecking openssl/ssl.h Usabi Lity nochecking openssl/ssl.h presence ... nochecking for openssl/ssl.h ... Noconfigure:error:OpenSSL development head Er is not installed.make: * * * NO targets specified and no makefile found. Stop.problem (s) detected while checking system.
Detection allows you to identify possible problems with your local environment, for example, as you can see from the above output,
inttypes.h... yeschecking for stdint.h... yeschecking for unistd.h... yeschecking openssl/ssl.h usability... nochecking openssl/ssl.h presence... nochecking for openssl/ssl.h... noconfigure: error: OpenSSL development header is not installed.make: *** No targets specified and no makefile found. Stop.Problem(s) detected while checking system.
Through detection, you can find possible problems in the local environment. for example, from the above output, we can see that the local OpenSSL developme
installed.make: *** No targets specified and no makefile found. Stop.Problem(s) detected while checking system.
Through detection, you can find possible problems in the local environment. For example, from the above output, we can see that the local OpenSSL development header has not been installed. Fix the problem one by one as prompted until the problem does not occur during detection.
Update
You can use the pyenv update command to update all contents of the pyenv family bucket.
$ pyenv updat
In this article, we will share a php program that can ping multiple ip addresses at the same time and then compare and find the fastest ip address in the network. This program is used to find the proxy ip address, but it is an artifact. In this article, we will share a php program that can ping multiple ip addresses at the same time and then compare and find the fastest ip address in the network. This program is used to find the proxy ip address, but it is an artifact.
Script ec (2); script
Fo
I believe that every python knows how to develop different python projects. sometimes, the python version is different and the software package version is different. The best solution to this problem is to build an independent python environment for different projects. Let's take a look.
Preface
I believe it is normal for python developers to have different python versions on the machine, because some development projects use 2.6 or 2.7, and some use 3.0 + versions, we need to use our virtual
Recommended for Yyuu/pyenv GitHub, which allows you to install as many Python versions as you like without modifying your system's own python, and that the versions are isolated from one another, and are easy to manage in multiple versions.pyenvCan be used to manage and switch between differentpythonVersions, compared with virtualenv and Anacondo to create a virtual Python environment,pyenvEasier and lighter to use. Installation$ git clone git://githu
setup.py Install
6. Create a link path~]# ln-sv/usr/local/python27/bin/python2.7/usr/bin/python27 ~]# ln-sv/usr/local/python27/bin/ipython/usr/bin/
7. Enable PYTHON27 and Ipython Interactive interface
Deploying Python using PyenvThe role of Pyenv
Installing the Python Interpreter
Managing Python versions
The ability to manage Python virtual environments (equivalent to a separate version) via plugins
Operation Steps1. Install git~]# yum-y Install git2. Define Pye
Python pyenv and pythonpyenv
I. Introduction
We usually Install Multiple Python versions in the operating system, so it is troublesome to switch the Python version. pyenv provides a simple method, it is a simple and elegant tool that can easily switch between multiple Python versions. Pyenv has the following functions:
1) switch the global Python version 2) provide the corresponding Python version for a single project 3) use environment variables to allow you to rewrite Python version 4) searc
Because there are differences between Python2 and 3, it may be necessary to switch back and forth between 2 and 3 in your daily work. In the same Python version, there may be projects that need to use django1.8, and other projects need to use django1.9, so if you can switch freely in the local environment, it is very convenient for developers. Remember when I first started learning, because of the Python version of the problem, to their Mac reload many times, now think, really is a runny nose a
answer this question, purposely ran to a CentOS 6.5 installed a Python3 (without the Ubuntu environment), and then installed a PIP, through LN to create a connection, alias create aliases These operations, prove Python2 and Python3 Can still be perfect coexistence.
The main problem is not to be able to coexist, but in the default pip Install command to Python3 installation of the procedure itself is wrong, the following is my solution:
The environment has been preceded by Python and Pip,
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