Setting Up Python 3 :
This tutorial will get you up and running with a local Python 3 programming environment in Ubuntu 16.04.On Ubuntu 16.04, you can find the Terminal application by clicking on the Ubuntu icon in the upper-left hand corner of your screen and typing “terminal” into the search bar. Click on the Terminal application icon to open it. Alternatively, you can hit the
CTRL
, ALT
, and T
keys on your keyboard at the same time to open the Terminal application automatically.Ubuntu 16.04 ships with both Python 3 and Python 2 pre-installed. To make sure that our versions are up-to-date, let’s update and upgrade the system with
apt-get:
$ sudo apt-get update
$ sudo apt-get -y upgrade
The
-y
flag will confirm that we are agreeing for all
items to be installed, but depending on your version of Linux, you may
need to confirm additional prompts as your system updates and upgrades. Once the process is complete, we can check the version of Python 3 that is installed in the system by typing:
$ python3 -V
You will receive output in the terminal window that will let you know the version number. The version number may vary, but it will look similar to this:
Python 3.5.2
To manage software packages for Python, let’s install pip:
$ sudo apt-get install -y python3-pip
A tool for use with Python, pip installs and manages programming packages we may want to use in our development projects. You can install Python packages by typing:
$ pip3 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 install numpy
.$ sudo apt-get install build-essential libssl-dev libffi-dev python-dev
Once Python is set up, and pip and other tools are installed, we can set up a virtual environment for our development projects.
Setting Up a Virtual Environment :
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.
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.
We need to first install the venv module, part of the standard Python 3 library, so that we can invoke the pyvenv command which will create virtual environments for us. Let’s install venv by typing:
$ sudo apt-get install -y python3-venv
With this installed, we are ready to create environments. Let’s
choose which directory we would like to put our Python programming
environments in, or we can create a new directory with
$ mkdir environments
$ cd environments
Once you are in the directory where you would like the environments to live, you can create an environment by running the following command:
$ pyvenv my_env
Essentially,
$ ls my_env
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. Python Wheels, a built-package format for Python that can speed up your software production by reducing the number of times you need to compile, will be in the Ubuntu 16.04
To use this environment, you need to activate it, which you can do by typing the following command that calls the activate script:
$ source my_env/bin/activate
mkdir
, as in:$ mkdir environments
$ cd environments
Once you are in the directory where you would like the environments to live, you can create an environment by running the following command:
$ pyvenv my_env
Essentially,
pyvenv
sets up a new directory that contains a few items which we can view with the ls
command:$ ls my_env
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. Python Wheels, a built-package format for Python that can speed up your software production by reducing the number of times you need to compile, will be in the Ubuntu 16.04
share
directoryTo use this environment, you need to activate it, which you can do by typing the following command that calls the activate script:
$ source my_env/bin/activate
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