Packaging Your Code
===================
Packaging your code is important.
You'll need to package your code first before sharing it with other developers.
The `Python Packaging Guide `_ provides an extensive guide on creating and maintaining Python packages.
For Python Developers
:::::::::::::::::::::
If you're writing an open source Python module, `PyPI `_,
more properly known as *The Cheeseshop*, is the place to host it.
Pip vs. easy_install
--------------------
Use `pip `_. More details `here `_
Personal PyPI
-------------
If you want to install packages from a source different from PyPI, (say, if
your packages are *proprietary*), you can do it by hosting a simple http server,
running from the directory which holds those packages which need to be installed.
**Showing an example is always beneficial**
Say if you are after installing a package called :file:`MyPackage.tar.gz`, and
assuming this is your directory structure:
- archive
- MyPackage
- MyPackage.tar.gz
Go to your command prompt and type:
.. code-block:: console
$ cd archive
$ python -m SimpleHTTPServer 9000
This runs a simple http server running on port 9000 and will list all packages
(like **MyPackage**). Now you can install **MyPackage** using any Python
package installer. Using Pip, you would do it like:
.. code-block:: console
$ pip install --extra-index-url=http://127.0.0.1:9000/ MyPackage
Having a folder with the same name as the package name is **crucial** here.
I got fooled by that, one time. But if you feel that creating a folder called
:file:`MyPackage` and keeping :file:`MyPackage.tar.gz` inside that, is *redundant*,
you can still install MyPackage using:
.. code-block:: console
$ pip install http://127.0.0.1:9000/MyPackage.tar.gz
pypiserver
++++++++++
`Pypiserver `_ is a minimal PyPI compatible server.
It can be used to serve a set of packages to easy_install or pip. It includes helpful
features like an administrative command (:option:`-U`) which will update all its packages to their
latest versions found on PyPI.
S3-Hosted PyPi
++++++++++++++
One simple option for a personal PyPi server is to use Amazon S3. A prerequisite for this is that you have an Amazon AWS account with an S3 bucket.
1. **Install all your requirements from PyPi or another source**
2. **Install pip2pi**
* :code:`pip install git+https://github.com/wolever/pip2pi.git`
3. **Follow pip2pi README for pip2tgz and dir2pi commands**
* :code:`pip2tgz packages/ YourPackage` (or :code:`pip2tgz packages/ -r requirements.txt`)
* :code:`dir2pi packages/`
4. **Upload the new files**
* Use a client like Cyberduck to sync the entire :file:`packages` folder to your s3 bucket
* Make sure you upload :code:`packages/simple/index.html` as well as all new files and directories
5. **Fix new file permissions**
* By default, when you upload new files to the S3 bucket, they will have the wrong permissions set.
* Use the Amazon web console to set the READ permission of the files to EVERYONE.
* If you get HTTP 403 when trying to install a package, make sure you've set the permissions correctly.
6. **All done**
* You can now install your package with :code:`pip install --index-url=http://your-s3-bucket/packages/simple/ YourPackage`
For Linux Distributions
::::::::::::::::::::::::
* `Ubuntu `_
* `Fedora `_
* `Debian `_
* `Arch `_
Useful Tools
------------
- `fpm `_
- `alien `_