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Pyquick Basic Python : Hands on syntax with examples

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Pyquick basic python tutorial covers the intuition, installation, and examples of pyquick python package. Pyquick is docker powered module. This helps in creating a python app and libraries. We can very quickly develop, build, deploy and test the python app.

pyquick basic python –

We all know that any dockerize solution saves a lot of time to manage the life cycle for each software product. Imagine how easy will be if you have a quick solution for that docker stuff. Yes! I am talking about pyquick module. It reduces a lot of overhead for dockerizing the python apps/packages.

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Pyquick Installation and App creation-

There are many ways to install the Pyquick module. Let’s see them one by one.

1.Using pip –

Like other packages, We can use install pyquick module with pip also.

pip install pyquick

Let’s create a simple python app using pyquick module.

pyquick app ./sample_prj
pyquick lib ./sample_prj

 

2. Using docker images-

We can download the pyquick image from docker hub.

docker pull jingweizhu/pyquick
docker run --rm -it -u $(id -u $USER):$(id -g $USER) \
    -v ${PWD}:/tmp/local jingweizhu/pyquick \
    app /tmp/local/myproj

The first line docker pull will pull the image and the second line will run the pyquick app.

How to upload the project in PyPi ?

Once your project is ready and tested. You should upload it into Pypi community. Here is the command for that.

TWINE_USERNAME=
TWINE_PASSWORD=

After running the above command. Please follow the below steps.

cd ./sample_project
make dist-upload

 

Conclusion –

Pyquick quickly creates an empty project will full structure. The package contains Requirements files along with Dockerfiles, Setup file along with Makefiles in a single command. It also facilitates the VCS integration in very small efforts. Pyquick gives a very deployment friendly packaging to python modules with system platform isolation. The packing which pyquick generates is the industry standard.

I hope you must find this article informative. Please comment if you need more information over this python pyquick basic tutorial. We will love to answer your queries over pyquick.

Thanks 

Data Science Learner Team

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