CentOS 7 install and setup for python3.6
cp /etc/sysconfig/selinux /etc/sysconfig/selinux.bak
sed -i 's/^SELINUX=.*/SELINUX=disabled/g' /etc/sysconfig/selinux
cp /etc/selinux/config /etc/selinux/config.bak
sed -i 's/^SELINUX=.*/SELINUX=disabled/g' /etc/selinux/config
systemctl disable firewalld
systemctl stop firewalld
service iptables stop
service ip6tables stop
chkconfig iptables off
chkconfig ip6tables off
yum -y install bind-utils traceroute net-tools ntp* gcc glibc glibc-common gd gd-devel make net-snmp openssl-devel xinetd unzip libtool* make patch perl bison flex-devel gcc-c++ ncurses-devel flex libtermcap-devel autoconf* automake* autoconf libxml2-devel cmake sqlite* wget ntp* lm_sensors ncurses-devel qt-devel hmaccalc zlib-devel binutils-devel elfutils-libelf-devel wget bc gzip uuid* libuuid-devel jansson* libxml2* sqlite* openssl* lsof NetworkManager-tui mlocate yum-utils kernel-devel nfs-utils tcpdump git vim gdisk parted
yum -y groupinstall "Development Tools"
yum -y update
yum -y upgrade
echo ':color desert' > .vimrc
systemctl disable kdump.service
yum -y install epel-release
yum -y install stress htop iftop iotop hddtemp smartmontools iperf3 sysstat mlocate
yum -y install httpd mariadb-server mariadb php php-mysql
systemctl enable httpd.service
systemctl start httpd.service
systemctl status httpd.service
Make sure it works with:
systemctl enable mariadb
systemctl start mariadb
systemctl status mariadb
<?php phpinfo(); ?>
---End install LAMP
Below was jacked from https://www.digitalocean.com/community/tutorials/how-to-install-python-3-and-set-up-a-local-programming-environment-on-centos-7
Let’s first make sure that yum is up to date by running this command:
sudo yum -y update
The -y flag is used to alert the system that we are aware that we are making changes, preventing the terminal from prompting us to confirm.
Next, we will install yum-utils, a collection of utilities and plugins that extend and supplement yum:
sudo yum -y install yum-utils
Finally, we’ll install the CentOS Development Tools, which are used to allow you to build and compile software from source code:
sudo yum -y groupinstall development
Once everything is installed, our setup is in place and we can go on to install Python 3.
Step 2 — Installing and Setting Up Python 3
CentOS is derived from RHEL (Red Hat Enterprise Linux), which has stability as its primary focus. Because of this, tested and stable versions of applications are what is most commonly found on the system and in downloadable packages, so on CentOS you will only find Python 2.
Since instead we would like to install the most current upstream stable release of Python 3, we will need to install IUS, which stands for Inline with Upstream Stable. A community project, IUS provides Red Hat Package Manager (RPM) packages for some newer versions of select software.
To install IUS, let’s install it through yum:
sudo yum -y install https://centos7.iuscommunity.org/ius-release.rpm
Once IUS is finished installing, we can install the most recent version of Python:
sudo yum -y install python36u
When the installation process of Python is complete, we can check to make sure that the installation was successful by checking for its version number with the python3.6 command:
With a version of Python 3.6 successfully installed, we will receive the following output:
We will next install pip, which will manage software packages for Python:
sudo yum -y install python36u-pip
A tool for use with Python, we will use pip to install and manage programming packages we may want to use in our development projects. You can install Python packages by typing:
sudo pip3.6 install package_name
Here, package_name can refer to any Python package or library, such as Django for web development or NumPy for scientific computing. So if you would like to install NumPy, you can do so with the command pip3.6 install numpy.
Finally, we will need to install the IUS package python36u-devel, which provides us with libraries and header files we will need for Python 3 development:
sudo yum -y install python36u-devel
The venv module will be used to set up a virtual environment for our development projects in the next step.
Step 3 — Setting Up a Virtual Environment
Now that we have Python installed and our system set up, we can go on to create our programming environment with venv.
Virtual environments enable you to have an isolated space on your computer for Python projects, ensuring that each of your projects can have its own set of dependencies that won’t disrupt any of your other projects.
Setting up a programming environment provides us with greater control over our Python projects and over how different versions of packages are handled. This is especially important when working with third-party packages.
You can set up as many Python programming environments as you want. Each environment is basically a directory or folder in your computer that has a few scripts in it to make it act as an environment.
Choose which directory you would like to put your Python programming environments in, or create a new directory with mkdir, as in:
Once you are in the directory where you would like the environments to live, you can create an environment by running the following command:
python3.6 -m venv my_env
Essentially, this command creates a new directory (in this case called my_env) that contains a few items that we can see with the ls command:
bin include lib lib64 pyvenv.cfg
Together, these files work to make sure that your projects are isolated from the broader context of your local machine, so that system files and project files don’t mix. This is good practice for version control and to ensure that each of your projects has access to the particular packages that it needs.
To use this environment, you need to activate it, which you can do by typing the following command that calls the activate script in the bin directory:
Your prompt will now be prefixed with the name of your environment, in this case it is called my_env:
This prefix lets us know that the environment my_env is currently active, meaning that when we create programs here they will use only this particular environment’s settings and packages.
Note: Within the virtual environment, you can use the command python instead of python3.6, and pip instead of pip3.6 if you would prefer. If you use Python 3 on your machine outside of an environment, you will need to use the python3.6 and pip3.6 commands exclusively.
After following these steps, your virtual environment is ready to use.
Step 4 — Creating a Simple Program
Now that we have our virtual environment set up, let’s create a simple “Hello, World!” program. This will make sure that our environment is working and gives us the opportunity to become more familiar with Python if we aren’t already.
To do this, we’ll open up a command-line text editor such as vim and create a new file:
Once the text file opens up in our terminal window, we will have to type i to enter insert mode, and then we can write our first program:
Now press ESC to leave insert mode. Next, type :x then ENTER to save and exit the file.
We are now ready to run our program:
The hello.py program that you just created should cause the terminal to produce the following output:
To leave the environment, simply type the command deactivate and you’ll return to your original directory.