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Update ci/cd to Python 3.12 #94

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merged 4 commits into from
Oct 20, 2023
Merged

Update ci/cd to Python 3.12 #94

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7f492b6
Update ci/cd to Python 3.12
nanne-aben Oct 16, 2023
6155289
Merge branch 'main' into python3.12
nanne-aben Oct 20, 2023
0c27f86
switch from papermill to nbconvert
nanne-aben Oct 20, 2023
c1e568a
fixing the ci/cd, minor changes to notebook lay-out
nanne-aben Oct 20, 2023
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10 changes: 6 additions & 4 deletions .github/workflows/build.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.8", "3.9", "3.10", "3.11"]
python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]

steps:
- uses: actions/checkout@v2
Expand All @@ -35,6 +35,8 @@ jobs:
coverage report -m
- name: Run notebooks
run: |
papermill docs/source/getting_started.ipynb output.json -k python3
papermill docs/source/advanced.ipynb output.json -k python3
papermill docs/source/deepdive_into_dtypes.ipynb output.json -k python3
for FILE in docs/source/*.ipynb; do
BASE=$(basename $FILE)
cp $FILE .
jupyter nbconvert --to notebook $BASE --execute
done
21 changes: 1 addition & 20 deletions docs/source/advanced.ipynb
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Expand Up @@ -4,27 +4,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Advanced"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"# Advanced\n",
"\n",
"import sys\n",
"\n",
"sys.path.append(\"../\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Subclassing schemas\n",
"\n",
"Subclassing schemas is a useful pattern for pipelines where every next function adds a few columns."
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9 changes: 1 addition & 8 deletions docs/source/deepdive_into_dtypes.ipynb
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Expand Up @@ -13,18 +13,11 @@
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"\n",
"import sys\n",
"\n",
"sys.path.append(\"../\")\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"from typing import Any\n",
"from strictly_typed_pandas import DataSet, IndexedDataSet"
"from strictly_typed_pandas import DataSet"
]
},
{
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21 changes: 1 addition & 20 deletions docs/source/getting_started.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -4,27 +4,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Getting started"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"# Getting started\n",
"\n",
"import sys\n",
"\n",
"sys.path.append(\"../\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## The problem\n",
"\n",
"I love Pandas! But in production code I’m always a bit wary when I see:"
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2 changes: 1 addition & 1 deletion requirements-dev.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ flake8==6.1.0
black[jupyter]==23.10.0
coverage==7.3.2
pytest==7.4.2
papermill==2.4.0
nbconvert==7.9.2
jupyter==1.0.0
sphinx<=7.2.6
sphinx_rtd_theme==1.3.0
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