Template: Python applications
The purpose of this is to create proper python applications with file structures, documentation, testing, and tools to use.
From this template we will be constructing either a python scaffolding tool or using yeoman.io to scaffold our python projects.
Hacking is an opestack a version of their prefered linting.
This is your best friend. Virtualenv is a applications that isolates your local environments python library/packages with a fresh install python. This is good in order to limit the things that you need to install in order to run your application and not be affected by other existing modules.
Install pip install virtualenv
Use virtualenv <environment-name>
Prefered virtualenv name: virtualenv .venv
This could be an alternative to virtualenv it's just a bigger environment isolation. Instead of python library level it would be a kernel level umbrella.
The use of docker containers should be done in both 6E23 in a production or development environment .
Build:
docker build -t <group-name>/<app-name> .
Example: docker build -t tetrasol/pyapp .
Run:
docker run -d --name pyapp -p 8080:8080 tetrasol/pyapp
Tox Tox is a generic virtualenv management and test command line tool you can use for:
- Checking your package installs correctly with different Python versions and interpreters
- Running your tests in each of the environments, configuring your test tool of choice
- Acting as a front-end to Continuous Integration servers, greatly reducing boilerplate and merging CI and shell-based testing.
.... SO in order words this tools allows you to manage your virtual environments with a wide range of tests not just py27. Handles that all installations and testing is done with various environments.
Pip install: sudo apt-get install -y python-pip
This is your package manager. if you need to install a lib you will need to add
you will run pip install <lib> or you will create a requirements.txt file
in order to keep track of all the lib that belong to that program and the
correct version of the libs that one needs to install. Run this file by running
pip install -r <file_name>. If you have ever played with node.js, the
requirements.txt is similar to the package.js file. If you ever do get to a
point of where you are installing packages and don't know their version, just
run pip freeze and it will echo a list of the installed python packages/libs
with their versions. if you do not have a requirements.txt file you can run
pip freeze > requirements.txt and there you go. :)
argparse==1.2.1
coverage==4.0.3
flake8==2.2.4
flake8-docstrings==0.2.4
hacking>=0.10.2
mccabe==0.2.1