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If you share a project with others, use a build system, or plan to copy the project to any other location where you need to restore an environment, you need to specify the external packages that the project requires. The recommended approach is to use a requirements.txt file (readthedocs.org) that contains a list of commands for pip that installs the required versions of dependent packages. The most common command is
pip freeze > requirements.txt
, which records an environment's current package list into requirements.txt.Visual Studio Code 1.42.1; Installation and configuration of Python and Visual Studio Code has been perfomed by following this step by step guide. Update your system. Start by updating your system. Python -m pip install -U matplotlib. Create and run the following Python script. Mar 04, 2017 Configuring Pipenv in Visual Studio Code Pipenv is a more modern way to manage project dependencies in Python. However, if you want to use Visual Studio Code's Python plugin for your project, you need to tell it where it can find your virtualenv. First, navigate to your Pipenv directory (where your Pipfile is located).
Technically, any filename may be used to track requirements (by using
-r <full path to file>
when installing a package), but Visual Studio provides specific support for requirements.txt:- If you've loaded a project that contains requirements.txt and wish to install all the packages listed in that file, expand the Python Environments node in Solution Explorer, then right-click an environment node and select Install from requirements.txt:
- If you want to install the dependencies in a virtual environment, create and activate that environment first, then use the Install from requirements.txt command. For more information on creating a virtual environment, see Use virtual environments.
- If you already have all the necessary packages installed in an environment, you can right-click that environment in Solution Explorer and select Generate requirements.txt to create the necessary file. If the file already exists, a prompt appears for how to update it:
- Replace entire file removes all items, comments, and options that exist.
- Refresh existing entries detects package requirements and updates the version specifiers to match the version you currently have installed.
- Update and add entries refreshes any requirements that are found, and adds all other packages to the end of the file.
Because requirements.txt files are intended to freeze the requirements of an environment, all installed packages are written with precise versions. Using precise versions ensures that you can easily reproduce your environment on another computer. Packages are included even if they were installed with a version range, as a dependency of another package, or with an installer other than pip.
If a package cannot be installed by pip and it appears in a requirements.txt file, the entire installation fails. In this case, manually edit the file to exclude this package or to use pip's options to refer to an installable version of the package. For example, you may prefer to use
pip wheel
to compile a dependency and add the --find-links <path>
option to your requirements.txt:See also
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The commands on the following page has been performed and tested with thefollowing versions:
- Ubuntu 18.04 LTS 64bits
- Linux 4.15.0-76-generic
- Python 3.6.9
- Visual Studio Code 1.42.1
Update your system
Start by updating your system:
Install Visual Studio Code
Install Visual Studio Code with Ubuntu Software. Other methods can be used,but Ubuntu Software remains the more stable option.
Install Python
Python is already installed on Ubuntu. But be carrefull, two versions coexiston ubuntu: Python 2.7.17 and Python 3.6.9. The default version is the older one.I advise against using this old version. Instead, I strongly recommandusing virtual environments with Python 3.
Install the Python paquet manager pip:
or
Virtual environment
Install virtualenv with the following command:
Create a virtual environment for your project and specify this environment willuse Python 3.
You'll have to run the previous command everytime you'll create a new Python project.Activate your environment:
The name of the environment should appear at the beginning of your command line:
Validate that everything is fine by checking the versions:
You can deactivate the virtual environment with the following command:
Configure Visual Studio Code for Python
Launch Visual Studio Code. In
File
>Open folder
[Ctrl-K Ctrl-O], sélect thefolder where you created your virtual environment. Create a Python script namedversion.py
and add the following code:Run your script by hitting
CTRL-F5
. Visual Studio Code should ask you if you want to installpylint
for checking code quality and suggest best practices. I strongly recommand to accept andinstall pylint
.You script should display something like:
Python 3 is running in your virtual environment in Visual Studio Code. You caneven set break points and debug your application by hitting
F5
instead of Ctrl-F5
.Enjoy!
Yep! Go To Tools -> Python Tools -> Python Environments . This Will Open A New Pane Where You Can Select Pip (VS 2015) Or Packages (VS 201...
See also
Visual Studio Code - Wikipedia
Last update : 02/21/2020
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