Installing Python Packages On Mac

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The Pip, Pipenv, Anaconda Navigator, and Conda Package Managers can all be used to list installed Python packages.

You can also use the ActiveState Platform’s command line interface (CLI), the State Tool to list all installed packages using a simple “state packages” command. For a complete list of all packages and dependencies (including OS-level and transitive dependencies, as well as shared libraries), you can use the Web GUI, which provides a full Bill of Materials view. Give it a try by signing up for a free ActiveState Platform account.

Installing Python Packages On Mac

Before getting a list of installed packages, it’s always a good practice to ensure that up-to-date versions of Python, Pip, Anaconda Navigator and Conda are in place.

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List Installed Packages with Pip

Both pip list and pip freeze will generate a list of installed packages, just with differently formatted results. Keep in mind that pip list will list ALL installed packages (regardless of how they were installed). while pip freeze will list only everything installed by Pip.

For example:

Output:

Output:

List Packages in a Console with Pip

To list all installed packages from a Python console using pip, you can utilize the following script:

Output:

List Modules in a Console without Pip

To list all installed modules from a python console without pip, you can use the following command:

Note that there are some drawbacks to this approach, including:

  • If there are a lot of installed packages, this method can take a long time to import each module before it can search that module’s path for sub-modules.
  • Modules that have code outside of an if __name__ “__main__”: code block, and if user input is expected, may cause the code to enter an infinite loop or hang.

List Installed Packages with Pipenv

The pipenv lock -r command can be used to generate output from a pipfile.lock file in a pipenv environment. All packages, including dependencies will be listed in the output. For example:

Output:

List Installed Packages with Anaconda Navigator

To list installed packages in an Anaconda environment using Anaconda Navigator, do the following:

  • Start the Anaconda Navigator application.
  • Select Environments in the left column.
  • A dropdown box at the center-top of the GUI should list installed packages. If not, then select Installed in the dropdown menu to list all packages.

List Installed Packages with Conda

The conda list command can be used to list all packages in a conda environment:

Output:

Globally vs Locally Installed Packages

For information about generating a list of installed packages globally vs locally, refer to:

List Installed Packages with the ActiveState Platform

To view a list of installed Python packages in your currently active project using the ActiveState Platform, run the following command on the command line:

The output is a full list of installed packages in your current project:

You can also obtain a complete software bill of materials view of all packages, dependencies, transitives dependencies (ie., dependencies of dependencies), OS-level dependencies and shared libraries (ie., OpenSSL) using the ActiveState Platform’s Web GUI:

The ActiveState Platform automatically builds all Python packages including linked C libraries from source code, and packages them for Windows, Linux and macOS. Because it does it all server-side, there’s no need to maintain local build environments.

Try it out by signing up for a free ActiveState Platform account.

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How to Uninstall Python Packages

You can list all the Python packages you have installed (no matter how they were installed) by running the following command using pip:
pip list

Learn more about how to install Python packages on Windows.

You can list all pip-installed packages by running the following command:
pip freeze

Installing python packages on mac os

The output is a list of packages and their versions installed in the current environment.

Learn more about managing dependencies with pip.

You can list all the packages that are installed using Anaconda’s package manager, conda. Simply run the following command:
conda list

The output is a list of packages and their versions installed in the current environment.

How to add packages in Anaconda Python.

You can list all the packages installed in your virtualenv by running the following command from within the environment:
pip list --local

Note that virtualenv has been deprecated in Python 3.8 in favor of venv, which creates lightweight virtual environments optionally isolated from system site directories.

How to manage Python dependencies with virtual environments.

Toggle table of contents sidebar

It’s beyond the scope of this documentation to discuss all the ways in which Python dependencies can be installed inDivio projects. However, the options described here are sufficient to cover most needs.

Installing Python Packages On Mac Free

If you are using Aldryn Django, refer to the section Python package installation in Aldryn Django projects below.

pipinstall and requirements.txt

The simplest option is to list Python requirements in a requirements.txt file, and include the command:

in the Dockerfile. See How to configure an existing Django application for deployment on Divio for an example.

However this is only adequate as a quick expedient in the early stages of development and is not recommended beyondthat, as it does not allow for complete pinning of all dependencies.

Pin all dependencies¶

Warning

Unpinned dependencies are the number one cause of deployment failures. Nothing in thecodebase may have changed, but a fresh build can unexpectedly pick up a newly-releasedversion of a package.

All Python dependencies, including implicit sub-dependencies, should be pinned to particular versions.

If any dependency is unpinned (that is, a particular version is not specified in the project’s requirements) pipwill install the latest version it finds, even if a different version was previously installed. This can cause youryour project to fail with an deployment error or worse, a runtime error, the next time it is built - even if youdidn’t change anything in it yourself.

To pin all dependencies, your project’s requirements should be compiled to a complete list of explicitly specifiedpackage versions. This list should then be committed in the project repository, and not be changed until you need toupdate dependencies.

With pip

Once you are able to build and run your application successfully, you know have a working set of Python dependenciesinstalled. Use pipfreeze to write them in a new file:

And then ensure that the pip command in the Dockerfile uses that list:

Other tools¶

There are multiple Python tools such as pip-tools and Poetry that are more sophisticated than pip, that can also generate a complete list ofpinned dependencies.

You can use the tool of your choice. In each case, the tool itself needs to be available in the Docker buildenvironment. You can expect to find pip to be installed by default, but other tools will generally need to beinstalled manually in the Dockerfile.

An example using pip-tools:

This installs pip-tools, compiles requirements.in to requirements.txt, then installs the components listedin requirements.txt.

Once you have a working set of dependencies, remove the pip-compile instruction so that the dependencies are pinnedand frozen in requirements.txt.

Python package installation in Aldryn Django projects¶

By default, projects using an Aldryn Django Dockerfile use our own pip-reqs tool to compile a list wheel URLs from our wheels proxy server,and installs all packages as wheels.

To install Python dependencies an Aldryn project, list them in the requirements.in file. They need to be outsidethe:

tags, since that part of the file is maintained automatically and is overwritten automatically withthe requirements from the Addons system.

This list is processed by the pip commands in the Dockerfile when the image is built.

Pinning dependencies in an Aldryn project¶

Compile requirements.txt

First, you need to have a working local set-up. Then run:

This will create a requirements.txt file in the project, containing a list of all the packages in theenvironment, along with their versions.

When your project is built using the new requirements.txt instead of requirements.in,you’ll have a guarantee that no unexpected changes will be permitted to find their way in to theproject.

Amend the Dockerfile

In order to have your project built using requirements.txt instead of requirements.in, youneed to remove the pip-reqscompile instruction from your project’s Dockerfile.

Installing Python On Mac Catalina

First, remove the Divio-specific comment tags from the Dockerfile:

otherwise the Control Panel will simply overwrite your changes.

Then remove the pip-reqscompile instruction, so that requirements.txt will not be amended at the next build.

The next time you need to create a fresh requirements.txt, run:

Specifying packages via a URL¶

Please use a commit hash when specifying packages via a URL of a tarballed or zipped archive.

For example:

Important

Branch names or tags are not supported as part of the archive name and will break. Please use the commit hash asdescribed above.

Recent versions of pip-tools require the use of URLS that provide both the egg fragment and the versionfragment (for example, egg=package-name1.0), and will raise a BadRequestforurl error if they encounterURLs lacking it. Older versions would allow you to omit the fragment.

See also Bad request for URL (from from pip-reqs resolve).

pip-tools does note support VCS protocols- for example, you cannot use URLs starting with git+ or hg+, such as[email protected]:divio/django-cms.git.