Setup py development

If you want to build MSI installers, be aware that the build toolchain for them has a dependency on the Microsoft.

NET Framework Version 3. NET Framework 3. NET 2. See the readme for more details on what other software is necessary and how to build. This section explains how to install additional extensions e. On Windows, extensions are already included and built automatically. For UNIX based systems, we try to use system libraries whenever available. This means optional components will only build if the relevant system headers are available. The best way to obtain the appropriate headers will vary by distribution, but the appropriate commands for some popular distributions are below.

On Fedora and other DNF based systems:. First, make sure you have enabled the source packages in the sources list. Take Ubuntu Bionic for example:. For other distributions, like Debian, change the URL and names to correspond with the specific distribution. Now you can install the build dependencies via apt :. If you want to build all optional modules, install the following packages and their dependencies:. For macOS systems versions On Mac OS X systems versions For these older releases versions Also note that OS X does not include several libraries used by the Python standard library, including libzma , so expect to see some extension module build failures unless you install local copies of them.

One solution is to install these libraries from a third-party package manager, like Homebrew or MacPorts , and then add the appropriate paths for the header and library files to your configure command.

For example,. In those cases, just ask for assistance on the core-mentorship list. Explaining how to build optional dependencies on a UNIX based system without root access is beyond the scope of this guide. If a change is made to Python which relies on some POSIX system-specific functionality such as using a new system call , it is necessary to update the configure script to test for availability of the functionality.

Instead of editing configure , edit configure. When submitting a patch with changes made to configure. Note that running autoreconf is not the same as running autoconf. For example, autoconf by itself will not regenerate pyconfig. It also requires to have the autoconf-archive and pkg-config utilities installed in the system and the pkg. You can easily check if this is correctly configured by running:.

If the system copy of Autoconf does not match this version, you will need to install your own copy of Autoconf. This section lists some of the common problems that may arise during the compilation of Python, with proposed solutions.

LightCC 6, 3 3 gold badges 34 34 silver badges 77 77 bronze badges. Erik Kaplun Erik Kaplun Erik is right. Also useful to know is that setup. Last thought here is that another option to setup. I ran into problems using python setup. It works with python3, but don't forget to remove any current pip installation you may have, as they will clash together it happened to me at the moment.

Show 4 more comments. Cristian Ciupitu RubenLaguna RubenLaguna 17k 11 11 gold badges 88 88 silver badges bronze badges. This answer saved my life! Ex: python setup. IIUC you should never setup. Besides, could you please tell me where the package is installed by using python setup. I think the --user will install in a directory in your home account, and will not affect other users in your system.

The develop will make links to your project source directory instead of actually copying everything. Only develop to the actual system is weird, because you may have other users using something that points to the project in your personal copy of the project source code. Many most? I don't see how this answers the question as asked. Show 3 more comments. As can be seen, the list of packages specified here is significantly larger than what we specified manually in setup.

This is because pip-compile finds all of the dependencies as well, which is good! This links the package to the original location, meaning any changes you make to the original package source code are reflected directly in your environment. Essentially, it saves you from having to run pip install. You can confirm that these packages have been installed by executing pip list :. Note that your package will now be installed into the virtual environment, and you can see that it points to your project src directory.

You will be able to execute your application directly from the command line now. From within the virtual environment:. To execute the application from outside the virtual environment such that it still uses the virtual environment for its dependencies, execute:.

There are two things to address here; installing to the global host environment using sudo , and installing to the local host environment. An example of this would be:.

This is the cause of a number of concerns. Foremost among these is security ; that when you run pip with sudo , you elevate to root priveleges and run the package setup. This is running arbitrary code downloaded from the internet as root , which opens the door for a malicious actor to make a package available on PyPI and obtain root access to your machine.

The second concern is the impact this has on the operation of your operating system and package managers. An example of this is the package manager yum. I hope you can see the danger here. If you inadvertantly update or delete the wrong package, you could alter your systems python version such that it would break your yum installation.

This would cause a world of pain, and so should be avoided. The issues associated with installing packages to your local host environment i. As discussed previously, this essentially boils down to dependency management. This is why we use virtualenv. For these reasons, we want to use the pip install command in the host environment as sparingly as possible.

Doing this is entirely optional, but they struck me as good precautions. Note that the issues described with pip install are not going to affect all operating systems. Additionally, there are a number of projects that help to manage python package installations on the host system. One of the biggest issues I faced getting stuck in to python was the plethora of tools available to help with development tasks.

Specifically, identifying which tool was useful for which task among a sea of alternatives. Adopting a good version control system is essential to managing the changes you make to your code and retaining a working version while you make those changes.

I like to adopt the Git Flow workflow for this. In essence this has 5 different branch types:. Tests are expressive and readable—no boilerplate code required. Get started in minutes with a small unit test or complex functional test for your application or library. Having said this, it can be used in conjunction with unittest , and perform more complex functional tests than what unittest is capable of.

Harry Percival wrote an excellent reference for this, titled Obey the Testing Goat! As far as a style guide goes, this is something you could make up for yourself to appeal to your own preferences. To save time, it may be a good idea to just apply a third party style guide.