#Install python 3.5 ubuntu 14.04 how to
#Install python 3.5 ubuntu 14.04 install
#Install python 3.5 ubuntu 14.04 update
#Install python 3.5 ubuntu 14.04 Patch

Development versions do not have the same stability guarantees, however. This is necessary to get the latest features/fixes and can be done globally or locally.

#Install python 3.5 ubuntu 14.04 install

Development Version Install through git: If you wish to install the latest development version instead of the stable release, you will have to acquire the code from the git repo.

Virtual environments add some slight mental and process overhead in comparison to globally accessible installation, but provide the most flexibility. This allows you to provide per-project customizations and packages easily.

Using this technology, you can install Django in a project directory without affecting the greater system.

Install through pip in a Virtualenv: The Python virtualenv package allows you to create self-contained environments for various projects.

Even so, global installations are inherently less flexible. This should always contain the latest stable release. If you install pip, you can easily install Django on the system level for use by any user.

Global Install through pip: The pip tool is a package manager for Python packages.

Also, the version contained in the repositories may lag behind the official versions available from the project. This is very simple, but not as flexible as some other methods.

Global Install from Packages: The official Ubuntu repositories contain Django packages that can be installed easily with the conventional apt package manager.

These have different advantages and one method may lend itself better to your specific situation than others. There are a number of different ways in which you can install Django depending upon your needs and how you want to configure your development environment.

#Install python 3.5 ubuntu 14.04 how to

After installation, we’ll show you how to start a new project to use as the basis for your site. In this guide, we will show you how to get Django up and running on an Ubuntu 14.04 server. Using Django, you can quickly create Python web applications and rely on the framework to do a good deal of the heavy lifting. Django is a full-featured Python web framework for developing dynamic websites and applications. cmake -DPYTHON_INCLUDE_DIR=~/.pyenv/versions/3.5.1/include/python3.5m -DPYTHON_INCLUDE_DIR2=~/.pyenv/versions/3.5.1/include/python3.5m -DPYTHON_LIBRARY=~/.pyenv/versions/3.5.1/lib/libpython3.so -Dpython_version=3. When using cmake, make sure to specify the python from pyenv that you want to use, e.g. Install all the requirements as usual: for req in $(cat requirements.txt) do pip install $req done

Replace the protobuf line with this one: pip install protobuf=3.0.0-alpha-3

#Install python 3.5 ubuntu 14.04 update

Then, install the usual python dependecies using pip, but first update the requirements.txt file to use protobuf 3.0 alpha. The instructions are mostly the same as the official installation instructions except for a few modifications specified below.įirst, install the usual system dependencies as described in here.

#Install python 3.5 ubuntu 14.04 Patch

If you are using CUDA, you might run into a compiler error involving nvcc, in which case this patch might solve it.īuild and install boost, telling it to use the python from pyenv./bootstrap.sh -with-python=~/.pyenv/versions/3.5.1/bin/python3.5 Download one of the recent versions of boost from here (I used boost 1.60.0). We need to build boost from source since the one from the package manager doesn't support python 3.5 (as of now). Get pip for the new installation of python. Set that directory to use the version of python that was just installed. Go to a directory where we will do all the following operations. env PYTHON_CONFIGURE_OPTS='-enable-shared' pyenv install 3.5.1

Make sure to use the -enable-shared flag to generate python shared libraries, which will later be linked to. Install desired version of python 3 (e.g. Setting up a new python environment using pyenv