Manage Python package dependencies - Visual Studio (Windows) (2024)

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If you share your Python project with others, or use a build system to produce your Python application, you need to specify any required external packages. When you plan to copy your project to other locations where you need to restore an environment, you also need to define the required dependent packages.

The recommended approach for specifying external dependent Python packages is to use a requirements file (readthedocs.org). This file contains a list of pip commands that install any required versions of dependent packages for your project. The most common command is pip freeze > requirements.txt. This command records your environment's current package list into the requirements.txt file.

A requirements file contains precise versions of all installed packages. You can use requirements files to freeze the requirements of an environment. By using precise package versions, you can easily reproduce your environment on another computer. The requirements files include packages even if they're installed with a version range, as a dependency of another package, or with an installer other than pip.

Prerequisites

  • Visual Studio installed with support for Python workloads. For more information, see Install Python support in Visual Studio.

  • A requirements file. You can use an existing requirements file or generate a file as described in this article.

Technically, any filename can be used to track requirements. However, Visual Studio provides specific support for the requirements file named "requirements.txt." You can use the -r <full path to file> argument when you install a package to specify your preferred name for the file.

Install dependencies listed in requirements.txt

If you load a project that has a requirements.txt file, you can install all the package dependencies listed in the file.

  1. In Solution Explorer, expand the project, and then expand the Python Environments node.

  2. Locate the environment node that you want to install the packages for. Right-click the node, and select Install from requirements.txt.

  3. You can monitor the package installation process in the Output window:

    The output lists any required packages that are installed, along with any updates required for affected pip commands and the availability of newer pip versions.

Install dependencies in a virtual environment

You can also install the Python package dependencies in an existing virtual environment.

  1. In Solution Explorer, expand your project, and then expand the Python Environments node.

  2. Locate the virtual environment node that you want to install the packages for. Right-click the node, and select Install from requirements.txt.

If you need to create a virtual environment, see Use virtual environments.

Generate the requirements.txt file

If all the necessary Python packages for your project are already installed in an environment, you can generate the requirements.txt file in Visual Studio.

  1. In Solution Explorer, expand your project, and then expand the Python Environments node.

  2. Locate the environment node for which you want to generate the requirements file. Right-click the node, and select Generate requirements.txt.

Refresh or add entries to an existing requirements.txt file

If the requirements.txt file already exists, Visual Studio displays a prompt with several options:

  • Replace entire file: Overwrite all items, comments, and options defined in the requirements.text file.
  • Refresh existing entries: Update the version specifiers in the requirements.text file to match the currently installed version.
  • Update and add entries: Refresh existing requirements in the requirements.text file, and append all new package requirements to the end of the file.

Visual Studio runs pip to detect the current package requirements for the environment, and then updates your requirements.txt file based on your selection.

Manually install package dependencies

If pip doesn't install a package dependency defined in your requirements.txt file, the entire installation fails.

You have two options to address this issue:

  • Manually edit the requirements.txt file to exclude the failed package, and then rerun the installation process.

  • Use pip command options to refer to an installable version of the package.

Update the requirements file with pip wheel

If you use the pip wheel command to compile a dependency, you can add the --find-links <path> option to your requirements.txt file.

  1. Call the pip wheel command to compile the list of required dependencies:

    pip wheel azure

    The output shows the wheels built for the collected packages:

    Downloading/unpacking azure Running setup.py (path:C:\Project\env\build\azure\setup.py) egg_info for package azureBuilding wheels for collected packages: azure Running setup.py bdist_wheel for azure Destination directory: c:\project\wheelhouseSuccessfully built azureCleaning up...
  2. Append the find-links and no-index options, along with the package version requirement to your requirements.txt file:

    type requirements.txt--find-links wheelhouse--no-indexazure==0.8.0
  3. Run the pip install process with your updated requirements file:

    pip install -r requirements.txt -v

    The output tracks progress for the installation process:

    Downloading/unpacking azure==0.8.0 (from -r requirements.txt (line 3)) Local files found: C:/Project/wheelhouse/azure-0.8.0-py3-none-any.whlInstalling collected packages: azureSuccessfully installed azureCleaning up... Removing temporary dir C:\Project\env\build...

Related content

  • Manage Python environments in Visual Studio
  • Select an interpreter for a project
  • Search paths
  • Python Environments window reference
Manage Python package dependencies - Visual Studio (Windows) (2024)

FAQs

What is the best way to manage dependencies in Python? ›

Install, use, and manage third-party Python packages with the “pip” package manager on Windows, macOS, and Linux. Isolate project dependencies with so-called virtual environments to avoid version conflicts in your Python projects.

How to get all dependencies of a Python package? ›

Use the pipdeptree utility to gather a list of all dependencies, create a requirements. txt file listing all the dependencies, and then download them with the pip download command. Get the list of dependencies for a package from the setup.py file.

How do you specify dependencies in Python packages? ›

There are two ways to specify dependencies for Cloud Functions written in Python: using the pip package manager's requirements. txt file or packaging local dependencies alongside your function. Dependency specification using the Pipfile/Pipfile.

How do I see dependencies in Visual Studio? ›

To see all the dependencies in your solution: On the menu bar, choose Architecture > Generate Code Map for Solution. If your code hasn't changed since the last time you built it, you can select Architecture > Generate Code Map for Solution Without Building instead.

What is the most popular Python dependency management? ›

venv (virtual environment) and pip (package installer for python) are the most popular tools for managing dependencies due to their ease of use. Most Python versions (>3.3) come pre-installed with these two tools.

Which tool used to achieve best dependency management? ›

Use a package manager

A package manager is a software tool that helps manage the installation, update, and removal of software packages or libraries. It simplifies the process of managing dependencies by automatically handling the retrieval and installation of required components from repositories.

How do I get the list of dependencies for a specific package? ›

The command # yum deplist [package-name] will list all dependencies.

How to list package dependencies? ›

To see all the dependencies of a package, you need another third-party package to figure out recursive dependencies. If you have apt-rdepends installed in your system then use the following syntax: sudo apt-rdepends <package name>. Replace <package-name> with the actual name of the package.

How do I see dependencies of a package in Windows? ›

To view Windows Installer package dependencies:
  1. Open Application Manager and select the Catalog tab of the ribbon.
  2. Expand a Windows Installer package in the Application Manager tree and select the Dependencies node.

How to use Solution Explorer in Visual Studio? ›

By default, the Solution Explorer tool window appears as a pane in the upper-right side of the Visual Studio integrated development environment (IDE). If you don't see the Solution Explorer tool window, you can open it from the Visual Studio menu bar by using View > Solution Explorer, or by selecting Ctrl + Alt + L .

How do I track project dependencies? ›

“There are a number of ways to identify project dependencies. One way is to use your project schedule and identify which tasks are dependent on other tasks being completed first. Another method is to look at the project resources and identify which resources are constrained and how that affects the next steps.

How to solve dependency issues in Python? ›

  1. 10 Ways to Fix Python Dependency Problems. Ava. ...
  2. Use a Virtual Environment. ...
  3. Update pip and setuptools. ...
  4. Use a requirements. ...
  5. Specify Exact Versions. ...
  6. Check for Conflicting Dependencies. ...
  7. Use a Dependency Lock File. ...
  8. Update Dependencies Regularly.

What is the best way to show dependencies? ›

Dependencies in a project can be shown using a Gantt chart, network diagram, or dependency matrix, which visually represent the relationships and sequencing of tasks.

Which of the following tools can be used to manage dependencies of a Python project? ›

Installing And Managing Python Dependencies With Pipenv

Pipenv takes dependency management a step further than virtualenv. While the functionality is very similar to virtualenv, a few key features have been added to help limit some of the disadvantages of using virtualenv.

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