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Dependency conflicts are the problem pipx aims to solve, in the context of installing CLI programs. When you install a Python package, by default pip will also install their dependent packages so ...
Answer
#5: Post edited
by
matthewsnyder
·
2023-09-05T15:48:45Z (about 1 year ago)
- **Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs.
- When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things.
- For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*.
- The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment.
- `pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.
Notably, the `python-...` packages many distros provide are also vulnerable to the dependency conflict problem. However, they also have more wiggle room for workarounds. For example, they can ignore the dependency versions specified in the package, and provide their own dependencies which have better compatibility. In Python, dependencies are not detected automatically by usage, but specified arbitrarily by the developer. Often, Python developers mistakenly make requirements too general or too specific, which makes it harder to find compatible versions. By ignoring the original developers (incorrect) version specs, it becomes easier to find a workable set of dependencies. Of course, distro maintainers can also incorporate venvs into `python-...` packages to get around the problems. All of this and more is feasible when you are creating a distro package, but can be tedious when manually installing packages, hence `pipx` exists for the latter case.
- **Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs.
- When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things.
- For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*.
- The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment.
- `pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.
- Notably, the `python-...` packages many distros provide are also vulnerable to the dependency conflict problem. However, they also have more wiggle room for workarounds. For example, they can ignore the dependency versions specified in the package, and provide their own dependencies which have better compatibility. In Python, dependencies are not detected automatically by usage, but specified arbitrarily by the developer. Often, Python developers mistakenly make requirements too general or too specific, which makes it harder to find compatible versions. By ignoring the original developer's (incorrect) version specs, it becomes easier to find a workable set of dependencies. Of course, distro maintainers can also incorporate venvs into `python-...` packages to get around the problems. All of this and more is feasible when you are creating a distro package, but can be tedious when manually installing packages, hence `pipx` exists for the latter case.
#4: Post edited
by
matthewsnyder
·
2023-09-05T15:48:29Z (about 1 year ago)
- **Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs.
- When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things.
- For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*.
- The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment.
- `pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.
Notably, the `python-...` packages many distros provide are also vulnerable to the dependency conflict problem. However, they also have more wiggle room for workarounds. For example, they can ignore the dependency versions specified in the package, and provide their own dependencies which have better compatibility. In Python, dependencies are not detected automatically by usage, but specified arbitrarily by the developer. Often, Python developers make requirements too general or too specific, which makes it harder to find compatible versions. By ignoring the original developers (incorrect) version specs, it becomes easier to find a workable set of dependencies. Of course, distro maintainers can also incorporate venvs into `python-...` packages to get around the problems. All of this and more is feasible when you are creating a distro package, but can be tedious when manually installing packages, hence `pipx` exists for the latter case.
- **Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs.
- When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things.
- For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*.
- The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment.
- `pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.
- Notably, the `python-...` packages many distros provide are also vulnerable to the dependency conflict problem. However, they also have more wiggle room for workarounds. For example, they can ignore the dependency versions specified in the package, and provide their own dependencies which have better compatibility. In Python, dependencies are not detected automatically by usage, but specified arbitrarily by the developer. Often, Python developers mistakenly make requirements too general or too specific, which makes it harder to find compatible versions. By ignoring the original developers (incorrect) version specs, it becomes easier to find a workable set of dependencies. Of course, distro maintainers can also incorporate venvs into `python-...` packages to get around the problems. All of this and more is feasible when you are creating a distro package, but can be tedious when manually installing packages, hence `pipx` exists for the latter case.
#3: Post edited
by
matthewsnyder
·
2023-09-05T15:48:16Z (about 1 year ago)
- **Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs.
- When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things.
- For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*.
- The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment.
- `pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.
Notably, the `python-...` packages many distros provide are also vulnerable to the dependency conflict problem. However, they also have more wiggle room for workarounds. For example, they can ignore the dependency versions specified in the package, and provide their own dependencies which have better compatibility. In Python, dependencies are not detected automatically by usage, but specified arbitrarily by the developer. Often, developers make requirements too general or too specific, which makes it harder to find compatible versions. By ignoring the original developers (incorrect) version specs, it becomes easier to find a workable set of dependencies. Of course, distro maintainers can also incorporate venvs into `python-...` packages to get around the problems. All of this and more is feasible when you are creating a distro package, but can be tedious when manually installing packages, hence `pipx` exists for the latter case.
- **Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs.
- When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things.
- For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*.
- The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment.
- `pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.
- Notably, the `python-...` packages many distros provide are also vulnerable to the dependency conflict problem. However, they also have more wiggle room for workarounds. For example, they can ignore the dependency versions specified in the package, and provide their own dependencies which have better compatibility. In Python, dependencies are not detected automatically by usage, but specified arbitrarily by the developer. Often, Python developers make requirements too general or too specific, which makes it harder to find compatible versions. By ignoring the original developers (incorrect) version specs, it becomes easier to find a workable set of dependencies. Of course, distro maintainers can also incorporate venvs into `python-...` packages to get around the problems. All of this and more is feasible when you are creating a distro package, but can be tedious when manually installing packages, hence `pipx` exists for the latter case.
#2: Post edited
by
matthewsnyder
·
2023-09-05T15:47:38Z (about 1 year ago)
- **Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs.
- When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things.
- For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*.
- The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment.
`pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.
- **Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs.
- When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things.
- For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*.
- The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment.
- `pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.
- Notably, the `python-...` packages many distros provide are also vulnerable to the dependency conflict problem. However, they also have more wiggle room for workarounds. For example, they can ignore the dependency versions specified in the package, and provide their own dependencies which have better compatibility. In Python, dependencies are not detected automatically by usage, but specified arbitrarily by the developer. Often, developers make requirements too general or too specific, which makes it harder to find compatible versions. By ignoring the original developers (incorrect) version specs, it becomes easier to find a workable set of dependencies. Of course, distro maintainers can also incorporate venvs into `python-...` packages to get around the problems. All of this and more is feasible when you are creating a distro package, but can be tedious when manually installing packages, hence `pipx` exists for the latter case.
#1: Initial revision
by
matthewsnyder
·
2023-09-05T15:38:56Z (about 1 year ago)
**Dependency conflicts** are the problem pipx aims to solve, in the context of installing CLI programs. When you install a Python package, by default pip will also install their dependent packages so that you don't get `ImportError`s when trying to use the package. These dependencies are explicitly configured by the package developer. When you install multiple packages that both have the same dependency, the *version* of that dependency may complicate things. For example, say you `pip install foo` which depends on `somedep>=2` and pip decides to install `somedep 2.3.1`. Then you `pip install bar` which requires `somedep==1.2.3`. To ensure that `bar` works, pip will uninstall `somedep 2.3.1` and instead install `somedep 1.2.3`. Presumably, `foo` is incompatible with `somedep 1.*` hence the constraint, so `foo` will now stop working. At a high level, the problem here is that `foo` and `bar` are actually mutually exclusive due to a *dependency conflict*. The classic Python solution to dependency conflicts is to create separate virtual environments for `foo` and for `bar`. But if the Python package happens to be a CLI tool, your shell will not see the command until you activate the virtual environment. `pipx` saves you from this extra step by automatically putting each package in a venv and providing wrapper scripts that run it.