diff --git a/doc/source/development/contributing.rst b/doc/source/development/contributing.rst
index fe5271dab7132..4d99f282aa695 100644
--- a/doc/source/development/contributing.rst
+++ b/doc/source/development/contributing.rst
@@ -305,15 +305,15 @@ It is important to periodically update your local ``main`` branch with updates f
 branch and update your development environment to reflect any changes to the various packages that
 are used during development.
 
-If using :ref:`mamba <contributing.mamba>`, run:
+If using :ref:`conda <contributing.conda>`, run:
 
 .. code-block:: shell
 
     git checkout main
     git fetch upstream
     git merge upstream/main
-    mamba activate pandas-dev
-    mamba env update -f environment.yml --prune
+    conda activate pandas-dev
+    conda env update -f environment.yml --prune
 
 If using :ref:`pip <contributing.pip>` , do:
 
diff --git a/doc/source/development/contributing_codebase.rst b/doc/source/development/contributing_codebase.rst
index 9d5a992e911b6..670ffe6996302 100644
--- a/doc/source/development/contributing_codebase.rst
+++ b/doc/source/development/contributing_codebase.rst
@@ -244,7 +244,7 @@ in your python environment.
 
 .. warning::
 
-    * Please be aware that the above commands will use the current python environment. If your python packages are older/newer than those installed by the pandas CI, the above commands might fail. This is often the case when the ``mypy`` or ``numpy`` versions do not match. Please see :ref:`how to setup the python environment <contributing.mamba>` or select a `recently succeeded workflow <https://github.com/pandas-dev/pandas/actions/workflows/code-checks.yml?query=branch%3Amain+is%3Asuccess>`_, select the "Docstring validation, typing, and other manual pre-commit hooks" job, then click on "Set up Conda" and "Environment info" to see which versions the pandas CI installs.
+    * Please be aware that the above commands will use the current python environment. If your python packages are older/newer than those installed by the pandas CI, the above commands might fail. This is often the case when the ``mypy`` or ``numpy`` versions do not match. Please see :ref:`how to setup the python environment <contributing.conda>` or select a `recently succeeded workflow <https://github.com/pandas-dev/pandas/actions/workflows/code-checks.yml?query=branch%3Amain+is%3Asuccess>`_, select the "Docstring validation, typing, and other manual pre-commit hooks" job, then click on "Set up Conda" and "Environment info" to see which versions the pandas CI installs.
 
 .. _contributing.ci:
 
diff --git a/doc/source/development/contributing_environment.rst b/doc/source/development/contributing_environment.rst
index 643021db7b823..1426d3a84a748 100644
--- a/doc/source/development/contributing_environment.rst
+++ b/doc/source/development/contributing_environment.rst
@@ -43,7 +43,7 @@ and consult the ``Linux`` instructions below.
 
 **macOS**
 
-To use the :ref:`mamba <contributing.mamba>`-based compilers, you will need to install the
+To use the :ref:`conda <contributing.conda>`-based compilers, you will need to install the
 Developer Tools using ``xcode-select --install``.
 
 If you prefer to use a different compiler, general information can be found here:
@@ -51,9 +51,9 @@ https://devguide.python.org/setup/#macos
 
 **Linux**
 
-For Linux-based :ref:`mamba <contributing.mamba>` installations, you won't have to install any
-additional components outside of the mamba environment. The instructions
-below are only needed if your setup isn't based on mamba environments.
+For Linux-based :ref:`conda <contributing.conda>` installations, you won't have to install any
+additional components outside of the conda environment. The instructions
+below are only needed if your setup isn't based on conda environments.
 
 Some Linux distributions will come with a pre-installed C compiler. To find out
 which compilers (and versions) are installed on your system::
@@ -82,19 +82,18 @@ Before we begin, please:
 * Make sure that you have :any:`cloned the repository <contributing.forking>`
 * ``cd`` to the pandas source directory you just created with the clone command
 
-.. _contributing.mamba:
+.. _contributing.conda:
 
-Option 1: using mamba (recommended)
+Option 1: using conda (recommended)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-* Install miniforge to get `mamba <https://mamba.readthedocs.io/en/latest/installation/mamba-installation.html>`_
-* Make sure your mamba is up to date (``mamba update mamba``)
-* Create and activate the ``pandas-dev`` mamba environment using the following commands:
+* Install miniforge to get `conda <https://github.com/conda-forge/miniforge?tab=readme-ov-file#download>`_
+* Create and activate the ``pandas-dev`` conda environment using the following commands:
 
-.. code-block:: none
+.. code-block:: bash
 
-   mamba env create --file environment.yml
-   mamba activate pandas-dev
+   conda env create --file environment.yml
+   conda activate pandas-dev
 
 .. _contributing.pip: