diff --git a/issues-with-duckdb_gh/.sqlfluff b/issues-with-duckdb_gh/.sqlfluff
new file mode 100644
index 0000000000000000000000000000000000000000..358fc481d09a27776477bf0c30a3dbc2083a1cad
--- /dev/null
+++ b/issues-with-duckdb_gh/.sqlfluff
@@ -0,0 +1,8 @@
+[sqlfluff]
+dialect = duckdb
+
+[sqlfluff:indentation]
+tab_space_size = 4
+
+[sqlfluff:rules:capitalisation.keywords]
+capitalisation_policy = upper
diff --git a/issues-with-duckdb_gh/duckdb-config-cli.sql b/issues-with-duckdb_gh/duckdb-config-cli.sql
new file mode 100644
index 0000000000000000000000000000000000000000..17d26218fedfec2495df94e54d3a44789be863aa
--- /dev/null
+++ b/issues-with-duckdb_gh/duckdb-config-cli.sql
@@ -0,0 +1,11 @@
+-- How do I make duckbox output show more than 40 rows?
+-- https://github.com/duckdb/duckdb/discussions/10562
+
+-- Je pensais que c'était un paramètre de configuration :
+-- https://duckdb.org/docs/configuration/overview
+-- mais non c'est une "dot" commande du CLI
+-- https://duckdb.org/docs/api/cli/dot_commands.html
+-- qui ne serait donc pas disponible pour Python
+-- https://stackoverflow.com/a/76860941
+
+.maxrows 80
diff --git a/issues-with-duckdb_gh/plot_issues_stats_by_month.py b/issues-with-duckdb_gh/plot_issues_stats_by_month.py
new file mode 100644
index 0000000000000000000000000000000000000000..2fc39bec9d461156be1b05b320e751be22db3be7
--- /dev/null
+++ b/issues-with-duckdb_gh/plot_issues_stats_by_month.py
@@ -0,0 +1,86 @@
+"""
+https://matplotlib.org/2.0.2/users/pyplot_tutorial.html
+https://matplotlib.org/2.0.2/examples/api/barchart_demo.html
+"""
+
+from pathlib import Path
+
+import duckdb
+import dotenv
+
+# import pandas as pd
+import matplotlib.pyplot as plt
+
+
+def generate_date_tick(row):
+ """Generate a month-date label for horizontal axis.
+
+ ATTENTION : row will be a Series with uniform data types
+ - if a column contains float64 and other columns are int64,
+ all row elements will be float64
+ - if a column contains strings (object), all row elements
+ will be object
+ See "Why data types was changed while calling the
+ apply function in Pandas?" : https://stackoverflow.com/a/40315866
+
+ :param _type_ row: A Pandas row with all columns
+ :return _type_: string
+ """
+ return f"{row['cl_year']}-{row['cl_month']:02d}"
+
+
+if __name__ == "__main__":
+ # Get environment variables in an OrderedDict
+ # https://github.com/theskumar/python-dotenv
+ env_vars = dotenv.dotenv_values()
+
+ # Build the path to the issues DuckDB database file
+ issues_db = Path(env_vars.get("PYPI_DB_PATH")) / env_vars.get("PYPI_DB_NAME")
+
+ # Connect to the file (no failure if nothing to expand)
+ cnx = duckdb.connect(str(issues_db.expanduser()), read_only=True)
+
+ # Load query from file
+ with open(env_vars.get("QUERY_ISSUES_STATS_BY_MONTH"), "r", encoding="utf-8") as f:
+ QUERY = f.read()
+
+ # Execute query and get a Pandas DataFrame back
+ # https://duckdb.org/docs/api/python/overview#result-conversion
+ df = cnx.sql(QUERY).df()
+
+ # Create a value for x tick labelling
+ df["x_tick"] = df.apply(generate_date_tick, axis=1) # , result_type="reduce")
+
+ # fig = plt.figure(num="PyPI Issues", figsize=(12, 8), dpi=600)
+ fig = plt.figure(num="PyPI Issues", figsize=(12, 8), layout="constrained")
+ ax = fig.add_subplot(1, 1, 1)
+
+ # https://matplotlib.org/stable/users/explain/colors/colors.html#colors-def
+ # https://matplotlib.org/stable/users/explain/colors/colormaps.html
+ ax.plot(
+ df["x_tick"],
+ df["nb_days_avg"],
+ color="b",
+ marker="o",
+ label="Number of days between opening and close",
+ )
+
+ ax.plot(
+ df["x_tick"],
+ df["closed_nb"],
+ color="g",
+ marker="o",
+ label="Issues closed by someone else than the opener",
+ )
+
+ ax.set_title(
+ "Statistics on PyPI issues, by month",
+ pad=10,
+ )
+
+ ax.legend()
+
+ # ~/Documents/DEVLOG/Evaluations/2024/Bilan-Formations/bilan-8-global-reseau.matplotlib.py
+ plt.setp(ax.get_xticklabels(), rotation=45, ha="right", rotation_mode="anchor")
+
+ plt.show()
diff --git a/issues-with-duckdb_gh/requirements-dev.in b/issues-with-duckdb_gh/requirements-dev.in
new file mode 100644
index 0000000000000000000000000000000000000000..58b71b112ca694784a936d7c11f7635c53efdb48
--- /dev/null
+++ b/issues-with-duckdb_gh/requirements-dev.in
@@ -0,0 +1,3 @@
+-c requirements.txt
+ipython
+pytest
diff --git a/issues-with-duckdb_gh/requirements-dev.txt b/issues-with-duckdb_gh/requirements-dev.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c020bce66c5f712d0e90fee5ed8946fa3d7b3d63
--- /dev/null
+++ b/issues-with-duckdb_gh/requirements-dev.txt
@@ -0,0 +1,60 @@
+#
+# This file is autogenerated by pip-compile with Python 3.10
+# by the following command:
+#
+# pip-compile requirements-dev.in
+#
+asttokens==2.4.1
+ # via stack-data
+decorator==5.1.1
+ # via ipython
+exceptiongroup==1.2.1
+ # via
+ # ipython
+ # pytest
+executing==2.0.1
+ # via stack-data
+iniconfig==2.0.0
+ # via pytest
+ipython==8.25.0
+ # via -r requirements-dev.in
+jedi==0.19.1
+ # via ipython
+matplotlib-inline==0.1.7
+ # via ipython
+packaging==24.1
+ # via
+ # -c requirements.txt
+ # pytest
+parso==0.8.4
+ # via jedi
+pexpect==4.9.0
+ # via ipython
+pluggy==1.5.0
+ # via pytest
+prompt-toolkit==3.0.47
+ # via ipython
+ptyprocess==0.7.0
+ # via pexpect
+pure-eval==0.2.2
+ # via stack-data
+pygments==2.18.0
+ # via ipython
+pytest==8.2.2
+ # via -r requirements-dev.in
+six==1.16.0
+ # via
+ # -c requirements.txt
+ # asttokens
+stack-data==0.6.3
+ # via ipython
+tomli==2.0.1
+ # via pytest
+traitlets==5.14.3
+ # via
+ # ipython
+ # matplotlib-inline
+typing-extensions==4.12.2
+ # via ipython
+wcwidth==0.2.13
+ # via prompt-toolkit
diff --git a/issues-with-duckdb_gh/requirements.in b/issues-with-duckdb_gh/requirements.in
new file mode 100644
index 0000000000000000000000000000000000000000..0a92d0ee6fae5ecd591c7ce8befa93f04fa5cb59
--- /dev/null
+++ b/issues-with-duckdb_gh/requirements.in
@@ -0,0 +1,4 @@
+duckdb
+matplotlib
+pandas
+python-dotenv
diff --git a/issues-with-duckdb_gh/requirements.txt b/issues-with-duckdb_gh/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2e13ca7d2214d23c242ea5a780b965c931cc7dde
--- /dev/null
+++ b/issues-with-duckdb_gh/requirements.txt
@@ -0,0 +1,43 @@
+#
+# This file is autogenerated by pip-compile with Python 3.10
+# by the following command:
+#
+# pip-compile requirements.in
+#
+contourpy==1.2.1
+ # via matplotlib
+cycler==0.12.1
+ # via matplotlib
+duckdb==1.0.0
+ # via -r requirements.in
+fonttools==4.53.0
+ # via matplotlib
+kiwisolver==1.4.5
+ # via matplotlib
+matplotlib==3.9.0
+ # via -r requirements.in
+numpy==1.26.4
+ # via
+ # contourpy
+ # matplotlib
+ # pandas
+packaging==24.1
+ # via matplotlib
+pandas==2.2.2
+ # via -r requirements.in
+pillow==10.3.0
+ # via matplotlib
+pyparsing==3.1.2
+ # via matplotlib
+python-dateutil==2.9.0.post0
+ # via
+ # matplotlib
+ # pandas
+python-dotenv==1.0.1
+ # via -r requirements.in
+pytz==2024.1
+ # via pandas
+six==1.16.0
+ # via python-dateutil
+tzdata==2024.1
+ # via pandas
diff --git a/issues-with-duckdb_gh/select-issues-stats-by-month.sql b/issues-with-duckdb_gh/select-issues-stats-by-month.sql
new file mode 100644
index 0000000000000000000000000000000000000000..f40ca79936f20e54e8f3a4278ecb1784f852c787
--- /dev/null
+++ b/issues-with-duckdb_gh/select-issues-stats-by-month.sql
@@ -0,0 +1,21 @@
+-- Compter les issues "PEP 541" fermées par d'autres personnes que celles qui
+-- les ont ouvertes. Par mois
+
+SELECT
+ year(i.closed_at) AS cl_year,
+ month(i.closed_at) AS cl_month,
+ cast(round(avg(datediff('day', i.created_at, i.closed_at)), 0) AS BIGINT) AS nb_days_avg,
+ count(*) AS closed_nb
+FROM
+ pypi_issues AS i
+INNER JOIN pypi_issues_events AS e
+ ON i.number = e.issue_number
+INNER JOIN pypi_issues_labels AS l
+ ON l.issue_id = i.id
+WHERE
+ i.state = 'closed'
+ AND i.user_login != e.actor_login
+GROUP BY
+ cl_year, cl_month
+ORDER BY
+ cl_year, cl_month;