Merge branch 'python-pip' of https://github.com/dbt-labs/docs.getdbt.com

 into python-pip

website/docs/docs/cloud/cloud-cli-installation.md

@@ -161,7 +161,7 @@ If you already have dbt Core installed, the dbt Cloud CLI may conflict. Here are
 
 --------
 
-Before installing the dbt Cloud CLI, make sure you have Python installed and your virtual environment venv or pyenv . If you already have a Python environment configured, you can skip to the [python -m pip installation step](#install-dbt-cloud-cli-in-pip).
+Before installing the dbt Cloud CLI, make sure you have Python installed and your virtual environment venv or pyenv . If you already have a Python environment configured, you can skip to the [pip installation step](#install-dbt-cloud-cli-in-pip).
 
 ### Install a virtual environment
 

website/docs/docs/core/pip-install.md

@@ -88,7 +88,7 @@ To downgrade to an older version, specify the version you want to use. This comm
 python -m pip install --upgrade dbt-core==0.19.0
 ```
 
-### `python -m pip install dbt`
+### `pip install dbt`
 
 Note that, as of v1.0.0, `pip install dbt` is no longer supported and will raise an explicit error. Since v0.13, the PyPI package named `dbt` was a simple "pass-through" of `dbt-core` and the four original database adapter plugins. For v1, we formalized that split.
 

website/docs/faqs/Core/install-pip-os-prereqs.md

@@ -6,7 +6,7 @@ id: install-pip-os-prereqs.md
 
 ---
 
-Your operating system may require pre-installation setup before installing dbt Core with pip. After downloading and installing any dependencies specific to your development environment, you can proceed with the [python -m pip installation of dbt Core](/docs/core/pip-install).
+Your operating system may require pre-installation setup before installing dbt Core with pip. After downloading and installing any dependencies specific to your development environment, you can proceed with the [pip installation of dbt Core](/docs/core/pip-install).
 
 ### CentOS
 

website/docs/guides/airflow-and-dbt-cloud.md

@@ -51,7 +51,7 @@ In this guide, you'll learn how to:
 You’ll also gain a better understanding of how this will:
 
 - Reduce the cognitive load when building and maintaining pipelines
-- Avoid dependency hell (think: `python -m pip install` conflicts)
+- Avoid dependency hell (think: `pip install` conflicts)
 - Implement better recoveries from failures
 - Define clearer workflows so that data and analytics engineers work better, together ♥️