diff --git a/.github/actions/setup-conda/action.yml b/.github/actions/setup-conda/action.yml
index a09ac1a4e5ffb..9439d83fc0079 100644
--- a/.github/actions/setup-conda/action.yml
+++ b/.github/actions/setup-conda/action.yml
@@ -1,22 +1,27 @@
 name: Set up Conda environment
+
 inputs:
   environment-file:
     description: Conda environment file to use.
     default: environment.yml
+
 runs:
   using: composite
   steps:
     - name: Install ${{ inputs.environment-file }}
       uses: mamba-org/setup-micromamba@v2
       with:
+        micromamba-url: https://github.com/mamba-org/micromamba-releases/releases/latest/download/micromamba-linux-64
         environment-file: ${{ inputs.environment-file }}
         environment-name: test
         condarc-file: ci/.condarc
         cache-environment: true
         cache-downloads: true
+        # avoid aggressive post-cleanup that can trigger JSON issues
+        post-cleanup: none
 
     - name: Uninstall pyarrow
       if: ${{ env.REMOVE_PYARROW == '1' }}
-      run: |
-        micromamba remove -y pyarrow
       shell: bash -el {0}
+      run: |
+        micromamba remove -y -n test pyarrow
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
new file mode 100644
index 0000000000000..e535ff19b1896
--- /dev/null
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,34 @@
+- name: Download micromamba (with retries)
+  shell: bash
+  run: |
+    set -euo pipefail
+    RETRIES=5
+    URL="https://micromamba.snakepit.net/api/micromamba/linux-64/latest"   # linux binary endpoint
+    OUT="$RUNNER_TEMP/micromamba.tar.bz2"
+    i=0
+    until [ $i -ge $RETRIES ]
+    do
+      echo "Attempt $((i+1))..."
+      if curl -fSL "$URL" -o "$OUT"; then
+        echo "Downloaded micromamba"
+        break
+      fi
+      i=$((i+1))
+      sleep $((i * 2))
+    done
+    if [ ! -f "$OUT" ]; then
+      echo "Failed to download micromamba after $RETRIES attempts"
+      exit 1
+    fi
+    mkdir -p "$RUNNER_TEMP/micromamba"
+    tar -xjf "$OUT" -C "$RUNNER_TEMP/micromamba" --strip-components=1
+    export MAMBA_ROOT_PREFIX="$RUNNER_TEMP/micromamba-root"
+    mkdir -p "$MAMBA_ROOT_PREFIX"
+    echo "Adding micromamba to PATH"
+    echo "$RUNNER_TEMP/micromamba/bin" >> $GITHUB_PATH
+
+- name: Create env with micromamba
+  run: |
+    micromamba create -y -n ci-env python=3.10
+    micromamba activate ci-env
+    micromamba install -y -n ci-env -c conda-forge <your-deps-here>
diff --git a/.github/workflows/docbuild-and-upload.yml b/.github/workflows/docbuild-and-upload.yml
index 114f7b942cf05..7e01f00c7383a 100644
--- a/.github/workflows/docbuild-and-upload.yml
+++ b/.github/workflows/docbuild-and-upload.yml
@@ -42,7 +42,8 @@ jobs:
 
     - name: Set up Conda
       uses: ./.github/actions/setup-conda
-
+      with:
+        cache-buster: ${{ github.sha }}
     - name: Build Pandas
       uses: ./.github/actions/build_pandas
 
diff --git a/1.26.0 b/1.26.0
new file mode 100644
index 0000000000000..e69de29bb2d1d
diff --git a/2.8.2 b/2.8.2
new file mode 100644
index 0000000000000..e69de29bb2d1d
diff --git a/2023.3 b/2023.3
new file mode 100644
index 0000000000000..e69de29bb2d1d
diff --git a/conda b/conda
new file mode 100644
index 0000000000000..e69de29bb2d1d
diff --git a/doc/source/user_guide/io.rst b/doc/source/user_guide/io.rst
index 070ad0bbe22ed..a3bd9160bc49e 100644
--- a/doc/source/user_guide/io.rst
+++ b/doc/source/user_guide/io.rst
@@ -167,8 +167,38 @@ dtype_backend : {"numpy_nullable", "pyarrow"}, defaults to NumPy backed DataFram
   dtypes if "pyarrow" is set.
 
   The dtype_backends are still experimental.
+ .. versionadded:: 2.0
 
-  .. versionadded:: 2.0
+   
+Google Colab
+^^^^^^^^^^^^
+
+Google Colab provides several methods to load data for :func:`read_csv` and similar functions.
+
+File upload
++++++++++++
+
+.. ipython:: python
+
+   from google.colab import files
+   # uploaded = files.upload()  # Interactive in Colab
+   import io
+   import pandas as pd
+   # df = pd.read_csv(io.BytesIO(uploaded['example.csv']))
+
+Google Drive
+++++++++++++
+
+.. ipython:: python
+
+   from google.colab import drive
+   drive.mount('/content/drive')
+   df = pd.read_csv('/content/drive/MyDrive/example.csv')
+
+See `Google Colab IO notebook <https://colab.research.google.com/notebooks/io.ipynb>`_.
+
+  
+ 
 
 engine : {``'c'``, ``'python'``, ``'pyarrow'``}
   Parser engine to use. The C and pyarrow engines are faster, while the python engine