diff --git a/doc/python/LaTeX.md b/doc/python/LaTeX.md
new file mode 100644
index 00000000000..7070cbf2d95
--- /dev/null
+++ b/doc/python/LaTeX.md
@@ -0,0 +1,68 @@
+---
+jupyter:
+  jupytext:
+    notebook_metadata_filter: all
+    text_representation:
+      extension: .md
+      format_name: markdown
+      format_version: '1.2'
+      jupytext_version: 1.4.2
+  kernelspec:
+    display_name: Python 3
+    language: python
+    name: python3
+  language_info:
+    codemirror_mode:
+      name: ipython
+      version: 3
+    file_extension: .py
+    mimetype: text/x-python
+    name: python
+    nbconvert_exporter: python
+    pygments_lexer: ipython3
+    version: 3.7.7
+  plotly:
+    description: How to add LaTeX to python graphs.
+    display_as: advanced_opt
+    language: python
+    layout: base
+    name: LaTeX
+    order: 5
+    page_type: example_index
+    permalink: python/LaTeX/
+    thumbnail: thumbnail/latex.jpg
+---
+
+#### LaTeX Typesetting
+
+```python
+import plotly.express as px
+
+fig = px.line(x=[1, 2, 3, 4], y=[1, 4, 9, 16], title=r'$\alpha_{1c} = 352 \pm 11 \text{ km s}^{-1}$')
+fig.update_layout(
+    xaxis_title=r'$\sqrt{(n_\text{c}(t|{T_\text{early}}))}$',
+    yaxis_title=r'$d, r \text{ (solar radius)}$'
+)
+fig.show()
+```
+
+```python
+import plotly.graph_objs as go
+
+fig = go.Figure()
+fig.add_trace(go.Scatter(
+    x=[1, 2, 3, 4],
+    y=[1, 4, 9, 16],
+    name=r'$\alpha_{1c} = 352 \pm 11 \text{ km s}^{-1}$'
+))
+fig.add_trace(go.Scatter(
+    x=[1, 2, 3, 4],
+    y=[0.5, 2, 4.5, 8],
+    name=r'$\beta_{1c} = 25 \pm 11 \text{ km s}^{-1}$'
+))
+fig.update_layout(
+    xaxis_title=r'$\sqrt{(n_\text{c}(t|{T_\text{early}}))}$',
+    yaxis_title=r'$d, r \text{ (solar radius)}$'
+)
+fig.show()
+```
diff --git a/doc/python/imshow.md b/doc/python/imshow.md
index cf8639a65dd..1ca97b4b5f9 100644
--- a/doc/python/imshow.md
+++ b/doc/python/imshow.md
@@ -412,9 +412,7 @@ See the [tutorial on facet plots](/python/facet-plots/) for more information on
 ```python
 import plotly.express as px
 from skimage import io
-from skimage.data import image_fetcher
-path = image_fetcher.fetch('data/cells.tif')
-data = io.imread(path)
+data = io.imread("https://github.com/scikit-image/skimage-tutorials/raw/main/images/cells.tif")
 img = data[20:45:2]
 fig = px.imshow(img, facet_col=0, binary_string=True, facet_col_wrap=5)
 fig.show()
@@ -446,9 +444,7 @@ For three-dimensional image datasets, obtained for example by MRI or CT in medic
 ```python
 import plotly.express as px
 from skimage import io
-from skimage.data import image_fetcher
-path = image_fetcher.fetch('data/cells.tif')
-data = io.imread(path)
+data = io.imread("https://github.com/scikit-image/skimage-tutorials/raw/main/images/cells.tif")
 img = data[25:40]
 fig = px.imshow(img, animation_frame=0, binary_string=True, labels=dict(animation_frame="slice"))
 fig.show()
@@ -476,9 +472,7 @@ It is possible to view 4-dimensional datasets (for example, 3-D images evolving
 ```python
 import plotly.express as px
 from skimage import io
-from skimage.data import image_fetcher
-path = image_fetcher.fetch('data/cells.tif')
-data = io.imread(path)
+data = io.imread("https://github.com/scikit-image/skimage-tutorials/raw/main/images/cells.tif")
 data = data.reshape((15, 4, 256, 256))[5:]
 fig = px.imshow(data, animation_frame=0, facet_col=1, binary_string=True)
 fig.show()
diff --git a/doc/python/ml-tsne-umap-projections.md b/doc/python/ml-tsne-umap-projections.md
index 683897eb8c4..dfd7d78d866 100644
--- a/doc/python/ml-tsne-umap-projections.md
+++ b/doc/python/ml-tsne-umap-projections.md
@@ -5,8 +5,8 @@ jupyter:
     text_representation:
       extension: .md
       format_name: markdown
-      format_version: '1.1'
-      jupytext_version: 1.1.1
+      format_version: '1.2'
+      jupytext_version: 1.4.2
   kernelspec:
     display_name: Python 3
     language: python
diff --git a/doc/requirements.txt b/doc/requirements.txt
index 14257257cd5..6e2f295857a 100644
--- a/doc/requirements.txt
+++ b/doc/requirements.txt
@@ -6,7 +6,7 @@ pandas==1.0.3
 statsmodels==0.11.1
 scipy==1.3.1
 patsy==0.5.1
-numpy==1.16.0
+numpy==1.19.5
 plotly-geo
 python-igraph
 geopandas==0.8.1
@@ -16,7 +16,7 @@ psutil
 requests
 networkx
 squarify
-scikit-image
+scikit-image==0.18.1
 scikit-learn
 sphinx
 sphinx_bootstrap_theme
@@ -27,7 +27,7 @@ datashader
 pyarrow
 cufflinks==0.17.3
 kaleido
-umap-learn
+umap-learn==0.5.1
 pooch
 wget
 nbconvert==5.6.1
diff --git a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_graph_objs.py b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_graph_objs.py
index 3b79dd62826..bec7d01feee 100644
--- a/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_graph_objs.py
+++ b/packages/python/plotly/plotly/tests/test_core/test_graph_objs/test_graph_objs.py
@@ -7,7 +7,6 @@
     "AngularAxis",
     "Annotation",
     "Annotations",
-    "Area",
     "Bar",
     "Box",
     "ColorBar",
diff --git a/packages/python/plotly/setup.py b/packages/python/plotly/setup.py
index 395111c03e9..b7df3e2ba64 100644
--- a/packages/python/plotly/setup.py
+++ b/packages/python/plotly/setup.py
@@ -245,7 +245,7 @@ def get_latest_publish_build_info(repo, branch):
     builds = [
         j
         for j in branch_jobs
-        if j.get("workflows", {}).get("job_name", None) == "publish"
+        if j.get("workflows", {}).get("job_name", None) == "publish-dist"
         and j.get("status", None) == "success"
     ]
     build = builds[0]
diff --git a/packages/python/plotly/tox.ini b/packages/python/plotly/tox.ini
index 72169192a08..635cd9478c3 100644
--- a/packages/python/plotly/tox.ini
+++ b/packages/python/plotly/tox.ini
@@ -58,12 +58,12 @@ deps=
     retrying==1.3.3
     pytest==3.5.1
     pandas==0.24.2
+    numpy==1.19.5
     xarray==0.10.9
     statsmodels==0.10.2
     pillow==5.2.0
     backports.tempfile==1.0
     optional: --editable=file:///{toxinidir}/../plotly-geo
-    optional: numpy==1.16.5
     optional: ipython[all]==5.1.0
     optional: ipywidgets==7.2.0
     optional: ipykernel==4.8.2