[New] Offline pip post

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Brandon Rozek 2020-01-21 00:39:43 -05:00
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title: "Offline Pip Packages"
date: 2020-01-20T23:11:05-05:00
draft: false
images: []
---
There are a few reasons I can think of to have offline pip packages:
- A package isn't able to compile on a friend's computer since they don't have the million linear algebra libraries that `numpy` /`scipy` require.
- You want to archive everything to run a piece of software
- You want to control the packages available to a closed network
Regardless, to my surprise, setting up a repository of python wheels doesn't take many steps.
## Setup
First I would recommend that you setup a virtual environment. Either through [pyenv](https://brandonrozek.com/blog/pyenv/) or [python-virtualenv](https://brandonrozek.com/blog/virtualenv/).
Then, install whatever packages you would like. Let us use tensorflow as an example:
```bash
pip install tensorflow
```
After you install all the packages you want to be available, freeze the requirements to a text file.
```bash
pip freeze > requirements.txt
```
Install the wheel package to make the binary wheels.
```bash
pip install wheel
```
Create the wheels
```bash
pip wheel --wheel-dir=wheels -r requirements.txt
```
With this you have a whole repository of wheels under the wheels folder!
## Client Side
Now you can get [all fancy with your deployment](https://realpython.com/offline-python-deployments-with-docker/#deploy), though I just assumed that the files were mounted in some shared folder.
The client can install all the wheels
```bash
pip install /path/to/wheels/*
```
Or they can just install the packages they want
```bash
pip install --no-index -f /path/to/wheels/wheels package_name
```