Merge branch 'develop' into main

Merge branch 'refurbish-project' into develop
Run black on all the notebooks
2024-07-15 12:16:36 +02:00 · 2024-07-15 12:13:33 +02:00 · 2024-07-15 12:12:51 +02:00 · 2024-07-15 12:12:51 +02:00 · 2024-07-15 12:12:50 +02:00 · 2024-07-15 12:12:50 +02:00
18 changed files with 2803 additions and 1439 deletions
--- a/00_python_in_a_nutshell/00_content_arithmetic.ipynb
+++ b/00_python_in_a_nutshell/00_content_arithmetic.ipynb
@ -123,7 +123,7 @@
    }
   ],
   "source": [
-    "2 ** 3"
+    "2**3"
   ]
  },
  {
@ -143,7 +143,7 @@
    }
   ],
   "source": [
-    "2 * 2 ** 3"
+    "2 * 2**3"
   ]
  },
  {
@ -536,9 +536,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -550,7 +550,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/00_python_in_a_nutshell/01_exercises_calculator.ipynb
+++ b/00_python_in_a_nutshell/01_exercises_calculator.ipynb
@ -149,9 +149,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -163,7 +163,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/00_python_in_a_nutshell/02_content_logic.ipynb
+++ b/00_python_in_a_nutshell/02_content_logic.ipynb
@ -507,7 +507,7 @@
    "\n",
    "The indented line constitues the `for`-loop's body. In the example, we simply take each of the numbers in `numbers`, one at a time, and add it to a `total` that is initialized at `0`. In other words, we calculate the sum of all the elements in `numbers`.\n",
    "\n",
-    "Many beginners struggle with the term \"loop.\" To visualize the looping behavior of this code, we use the online tool [PythonTutor <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](http://pythontutor.com/visualize.html#code=numbers%20%3D%20%5B1,%202,%203,%204%5D%0A%0Atotal%20%3D%200%0A%0Afor%20number%20in%20numbers%3A%0A%20%20%20%20total%20%3D%20total%20%2B%20number%0A%0Atotal&cumulative=false&curInstr=0&heapPrimitives=nevernest&mode=display&origin=opt-frontend.js&py=3&rawInputLstJSON=%5B%5D&textReferences=false). That tool is helpful for two reasons:\n",
+    "Many beginners struggle with the term \"loop.\" To visualize the looping behavior of this code, we use the online tool [PythonTutor <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](http://pythontutor.com/visualize.html#code=numbers%20%3D%20%5B1,%202,%203,%204%5D%0A%0Atotal%20%3D%200%0A%0Afor%20number%20in%20numbers%3A%0A%20%20%20%20total%20%3D%20total%20%2B%20number%0A%0Atotal&cumulative=false&curstr=0&heapPrimitives=nevernest&mode=display&origin=opt-frontend.js&py=3&rawInputLstJSON=%5B%5D&textReferences=false). That tool is helpful for two reasons:\n",
    "1. It allows us to execute code in \"slow motion\" (i.e., by clicking the \"next\" button on the left side, only the next atomic step of the code snippet is executed).\n",
    "2. It shows what happens inside the computer's memory on the right-hand side."
   ]
@ -999,9 +999,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -1013,7 +1013,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/00_python_in_a_nutshell/03_exercises_loops.ipynb
+++ b/00_python_in_a_nutshell/03_exercises_loops.ipynb
@ -178,9 +178,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -192,7 +192,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/00_python_in_a_nutshell/04_exercises_fizz_buzz.ipynb
+++ b/00_python_in_a_nutshell/04_exercises_fizz_buzz.ipynb
@ -112,9 +112,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -126,7 +126,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/00_python_in_a_nutshell/05_content_functions.ipynb
+++ b/00_python_in_a_nutshell/05_content_functions.ipynb
@ -73,7 +73,7 @@
    "\n",
    "Let's execute the function with `numbers` as the input. We see the same `6` below the cell as we do above where we run the code without a function. Without the `return` statement in the function's body, we would not see any output here.\n",
    "\n",
-    "To see what happens in detail, take a look at [PythonTutor <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://pythontutor.com/visualize.html#code=numbers%20%3D%20%5B1,%202,%203,%204%5D%0A%0Adef%20add_evens%28numbers%29%3A%0A%20%20%20%20%22%22%22Sum%20up%20all%20the%20even%20numbers%20in%20a%20list.%22%22%22%0A%20%20%20%20result%20%3D%200%0A%0A%20%20%20%20for%20number%20in%20numbers%3A%0A%20%20%20%20%20%20%20%20if%20number%20%25%202%20%3D%3D%200%3A%0A%20%20%20%20%20%20%20%20%20%20%20%20result%20%3D%20result%20%2B%20number%0A%0A%20%20%20%20return%20result%0A%0Atotal%20%3D%20add_evens%28numbers%29&cumulative=false&curInstr=0&heapPrimitives=nevernest&mode=display&origin=opt-frontend.js&py=3&rawInputLstJSON=%5B%5D&textReferences=false) again. You should notice how there are two variables by the name `numbers` in memory. Python manages the memory with a concept called **namespaces** or **scopes**, which are just fancy terms for saying that Python can tell variables from different contexts apart."
+    "To see what happens in detail, take a look at [PythonTutor <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://pythontutor.com/visualize.html#code=numbers%20%3D%20%5B1,%202,%203,%204%5D%0A%0Adef%20add_evens%28numbers%29%3A%0A%20%20%20%20%22%22%22Sum%20up%20all%20the%20even%20numbers%20in%20a%20list.%22%22%22%0A%20%20%20%20result%20%3D%200%0A%0A%20%20%20%20for%20number%20in%20numbers%3A%0A%20%20%20%20%20%20%20%20if%20number%20%25%202%20%3D%3D%200%3A%0A%20%20%20%20%20%20%20%20%20%20%20%20result%20%3D%20result%20%2B%20number%0A%0A%20%20%20%20return%20result%0A%0Atotal%20%3D%20add_evens%28numbers%29&cumulative=false&curstr=0&heapPrimitives=nevernest&mode=display&origin=opt-frontend.js&py=3&rawInputLstJSON=%5B%5D&textReferences=false) again. You should notice how there are two variables by the name `numbers` in memory. Python manages the memory with a concept called **namespaces** or **scopes**, which are just fancy terms for saying that Python can tell variables from different contexts apart."
   ]
  },
  {
@ -151,7 +151,7 @@
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m/tmp/user/1000/ipykernel_707190/1049141082.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "Cell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mresult\u001b[49m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'result' is not defined"
     ]
    }
@ -385,7 +385,7 @@
   ],
   "source": [
    "for number in numbers:\n",
-    "    square = number ** 2\n",
+    "    square = number**2\n",
    "    print(\"The square of\", number, \"is\", square)"
   ]
  },
@ -418,21 +418,39 @@
   "cell_type": "markdown",
   "metadata": {},
   "source": [
-    "To access a function inside the [random <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://docs.python.org/3/library/random.html) module, for example, the [random() <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://docs.python.org/3/library/random.html#random.random) function, we use the `.` operator, formally called the attribute access operator. The [random() <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://docs.python.org/3/library/random.html#random.random) function simply returns a random decimal number between `0` and `1`."
+    "To access a function inside the [random <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://docs.python.org/3/library/random.html) module, for example, the [seed() <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://docs.python.org/3/library/random.html#random.seed) function, we use the `.` operator, formally called the attribute access operator. \n",
+    "\n",
+    "We use [random.seed() <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://docs.python.org/3/library/random.html#random.seed) to make the random numbers *replicable* on separate runs of this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
+   "outputs": [],
+   "source": [
+    "random.seed(42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The [random() <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_py.png\">](https://docs.python.org/3/library/random.html#random.random) function simply returns a random decimal number between `0` and `1`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
-       "0.7021021034327006"
+       "0.6394267984578837"
      ]
     },
-     "execution_count": 16,
+     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
@ -450,16 +468,16 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
-       "False"
+       "True"
      ]
     },
-     "execution_count": 17,
+     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
@ -477,7 +495,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
@ -486,7 +504,7 @@
       "3"
      ]
     },
-     "execution_count": 18,
+     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
@ -505,9 +523,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -519,7 +537,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/00_python_in_a_nutshell/06_exercises_volume.ipynb
+++ b/00_python_in_a_nutshell/06_exercises_volume.ipynb
@ -257,9 +257,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -271,7 +271,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/00_python_in_a_nutshell/07_content_data_types.ipynb
+++ b/00_python_in_a_nutshell/07_content_data_types.ipynb
@ -237,19 +237,18 @@
   "metadata": {},
   "outputs": [
    {
-     "ename": "AttributeError",
-     "evalue": "'int' object has no attribute 'is_integer'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m/tmp/user/1000/ipykernel_306555/2418692311.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'int' object has no attribute 'is_integer'"
-     ]
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
    }
   ],
   "source": [
-    "a.is_integer()"
+    "a.is_integer()  # Note: In Python versions < 3.12 this cell raises an `AttributeError`"
   ]
  },
  {
@ -494,7 +493,7 @@
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m/tmp/user/1000/ipykernel_306555/2667408552.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmore_numbers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "Cell \u001b[0;32mIn[21], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mmore_numbers\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mappend\u001b[49m(\u001b[38;5;241m10\u001b[39m)\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'append'"
     ]
    }
@ -607,7 +606,7 @@
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
-      "\u001b[0;32m/tmp/user/1000/ipykernel_306555/3320204082.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mto_words\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"zero\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "Cell \u001b[0;32mIn[26], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mto_words\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mzero\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n",
      "\u001b[0;31mKeyError\u001b[0m: 'zero'"
     ]
    }
@ -673,9 +672,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -687,7 +686,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/01_scientific_stack/00_content_numpy.ipynb
+++ b/01_scientific_stack/00_content_numpy.ipynb
--- a/01_scientific_stack/01_exercises_arrays.ipynb
+++ b/01_scientific_stack/01_exercises_arrays.ipynb
@ -244,9 +244,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -258,7 +258,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/01_scientific_stack/02_content_pandas.ipynb
+++ b/01_scientific_stack/02_content_pandas.ipynb
@ -32,17 +32,17 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      "Requirement already satisfied: pandas in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (1.3.3)\n",
-      "Requirement already satisfied: numpy>=1.17.3 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from pandas) (1.21.1)\n",
-      "Requirement already satisfied: python-dateutil>=2.7.3 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from pandas) (2.8.2)\n",
-      "Requirement already satisfied: pytz>=2017.3 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from pandas) (2021.3)\n",
-      "Requirement already satisfied: six>=1.5 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)\n",
-      "Note: you may need to restart the kernel to use updated packages.\n"
+      "Requirement already satisfied: pandas in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (2.2.2)\n",
+      "Requirement already satisfied: numpy>=1.26.0 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from pandas) (2.0.0)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from pandas) (2024.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from pandas) (2024.1)\n",
+      "Requirement already satisfied: six>=1.5 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n"
     ]
    }
   ],
   "source": [
-    "%pip install pandas"
+    "!pip install pandas"
   ]
  },
  {
@ -927,7 +927,7 @@
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
-      "Int64Index: 694 entries, 192594 to 211519\n",
+      "Index: 694 entries, 192594 to 211519\n",
      "Data columns (total 19 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
@ -1852,10 +1852,7 @@
    }
   ],
   "source": [
-    "df.loc[\n",
-    "    200300:200800,\n",
-    "    [\"o_street\", \"o_zip\", \"o_city\", \"o_latitude\", \"o_longitude\"]\n",
-    "]"
+    "df.loc[200300:200800, [\"o_street\", \"o_zip\", \"o_city\", \"o_latitude\", \"o_longitude\"]]"
   ]
  },
  {
@ -1882,7 +1879,7 @@
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
-      "Int64Index: 694 entries, 192594 to 211519\n",
+      "Index: 694 entries, 192594 to 211519\n",
      "Data columns (total 19 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
@ -1982,11 +1979,13 @@
   "metadata": {},
   "outputs": [],
   "source": [
-    "df = df.astype({\n",
-    "    \"pickup_at\": \"datetime64[ns]\",\n",
-    "    \"delivery_at\": \"datetime64[ns]\",\n",
-    "    \"cancelled\": bool,\n",
-    "})"
+    "df = df.astype(\n",
+    "    {\n",
+    "        \"pickup_at\": \"datetime64[ns]\",\n",
+    "        \"delivery_at\": \"datetime64[ns]\",\n",
+    "        \"cancelled\": bool,\n",
+    "    }\n",
+    ")"
   ]
  },
  {
@ -2006,7 +2005,7 @@
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
-      "Int64Index: 694 entries, 192594 to 211519\n",
+      "Index: 694 entries, 192594 to 211519\n",
      "Data columns (total 19 columns):\n",
      " #   Column         Non-Null Count  Dtype         \n",
      "---  ------         --------------  -----         \n",
@ -2686,7 +2685,7 @@
   "source": [
    "df.loc[\n",
    "    max_a_table,\n",
-    "    [\"customer_id\", \"d_street\", \"d_zip\", \"d_city\", \"d_latitude\", \"d_longitude\"]\n",
+    "    [\"customer_id\", \"d_street\", \"d_zip\", \"d_city\", \"d_latitude\", \"d_longitude\"],\n",
    "].head()"
   ]
  },
@ -2821,12 +2820,10 @@
    "        max_a_table\n",
    "        &\n",
    "        (\n",
-    "            (df[\"d_latitude\"] > 44.85)\n",
-    "            |\n",
-    "            (df[\"d_longitude\"] < -0.59)\n",
-    "        )        \n",
+    "            (df[\"d_latitude\"] > 44.85) | (df[\"d_longitude\"] < -0.59)\n",
+    "        )\n",
    "    ),\n",
-    "    [\"customer_id\", \"d_street\", \"d_zip\", \"d_city\", \"d_latitude\", \"d_longitude\"]\n",
+    "    [\"customer_id\", \"d_street\", \"d_zip\", \"d_city\", \"d_latitude\", \"d_longitude\"],\n",
    "].head()"
   ]
  },
@ -2933,12 +2930,8 @@
   ],
   "source": [
    "df.loc[\n",
-    "    (\n",
-    "        max_a_table\n",
-    "        &\n",
-    "        df[\"customer_id\"].isin([6037, 79900, 80095])\n",
-    "    ),\n",
-    "    [\"placed_at\", \"customer_id\", \"d_street\", \"d_zip\", \"d_city\", \"total\"]\n",
+    "    (max_a_table & df[\"customer_id\"].isin([6037, 79900, 80095])),\n",
+    "    [\"placed_at\", \"customer_id\", \"d_street\", \"d_zip\", \"d_city\", \"total\"],\n",
    "].head()"
   ]
  },
@ -3067,12 +3060,8 @@
   ],
   "source": [
    "df.loc[\n",
-    "    (\n",
-    "        max_a_table\n",
-    "        &\n",
-    "        ~df[\"customer_id\"].isin([6037, 79900, 80095])\n",
-    "    ),\n",
-    "    [\"placed_at\", \"customer_id\", \"d_street\", \"d_zip\", \"d_city\", \"total\"]\n",
+    "    (max_a_table & ~df[\"customer_id\"].isin([6037, 79900, 80095])),\n",
+    "    [\"placed_at\", \"customer_id\", \"d_street\", \"d_zip\", \"d_city\", \"total\"],\n",
    "].head()"
   ]
  },
@ -3166,10 +3155,7 @@
    }
   ],
   "source": [
-    "df.loc[\n",
-    "    max_a_table,\n",
-    "    \"customer_id\"\n",
-    "].unique()"
+    "df.loc[max_a_table, \"customer_id\"].unique()"
   ]
  },
  {
@ -3189,6 +3175,7 @@
    {
     "data": {
      "text/plain": [
+       "restaurant_id\n",
       "1254    78\n",
       "1207    47\n",
       "1204    39\n",
@ -3199,7 +3186,7 @@
       "1249    23\n",
       "1242    19\n",
       "1221    18\n",
-       "Name: restaurant_id, dtype: int64"
+       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 35,
@ -3219,6 +3206,7 @@
    {
     "data": {
      "text/plain": [
+       "customer_id\n",
       "73919    14\n",
       "10298    12\n",
       "6037      8\n",
@ -3229,7 +3217,7 @@
       "76838     3\n",
       "75905     3\n",
       "74791     3\n",
-       "Name: customer_id, dtype: int64"
+       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 36,
@ -3258,7 +3246,7 @@
    {
     "data": {
      "text/plain": [
-       "15924.78"
+       "np.float64(15924.78)"
      ]
     },
     "execution_count": 37,
@ -3278,7 +3266,7 @@
    {
     "data": {
      "text/plain": [
-       "885.0"
+       "np.float64(885.0)"
      ]
     },
     "execution_count": 38,
@ -3287,10 +3275,7 @@
    }
   ],
   "source": [
-    "df.loc[\n",
-    "    max_a_table,\n",
-    "    \"total\"\n",
-    "].sum() / 100"
+    "df.loc[max_a_table, \"total\"].sum() / 100"
   ]
  },
  {
@ -3301,7 +3286,7 @@
    {
     "data": {
      "text/plain": [
-       "3.5"
+       "np.float64(3.5)"
      ]
     },
     "execution_count": 39,
@ -3321,7 +3306,7 @@
    {
     "data": {
      "text/plain": [
-       "83.7"
+       "np.float64(83.7)"
      ]
     },
     "execution_count": 40,
@ -3341,7 +3326,7 @@
    {
     "data": {
      "text/plain": [
-       "12.5"
+       "np.float64(12.5)"
      ]
     },
     "execution_count": 41,
@ -3350,10 +3335,7 @@
    }
   ],
   "source": [
-    "df.loc[\n",
-    "    max_a_table,\n",
-    "    \"total\"\n",
-    "].min() / 100"
+    "df.loc[max_a_table, \"total\"].min() / 100"
   ]
  },
  {
@ -3364,7 +3346,7 @@
    {
     "data": {
      "text/plain": [
-       "60.0"
+       "np.float64(60.0)"
      ]
     },
     "execution_count": 42,
@ -3373,10 +3355,7 @@
    }
   ],
   "source": [
-    "df.loc[\n",
-    "    max_a_table,\n",
-    "    \"total\"\n",
-    "].max() / 100"
+    "df.loc[max_a_table, \"total\"].max() / 100"
   ]
  },
  {
@ -3387,7 +3366,7 @@
    {
     "data": {
      "text/plain": [
-       "22.94636887608069"
+       "np.float64(22.94636887608069)"
      ]
     },
     "execution_count": 43,
@ -3407,7 +3386,7 @@
    {
     "data": {
      "text/plain": [
-       "22.95"
+       "np.float64(22.95)"
      ]
     },
     "execution_count": 44,
@ -3427,7 +3406,7 @@
    {
     "data": {
      "text/plain": [
-       "22.69"
+       "np.float64(22.69)"
      ]
     },
     "execution_count": 45,
@ -3436,18 +3415,15 @@
    }
   ],
   "source": [
-    "df.loc[\n",
-    "    max_a_table,\n",
-    "    \"total\"\n",
-    "].mean().round() / 100"
+    "df.loc[max_a_table, \"total\"].mean().round() / 100"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -3459,7 +3435,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/01_scientific_stack/03_exercises_simple_queries.ipynb
+++ b/01_scientific_stack/03_exercises_simple_queries.ipynb
@ -56,7 +56,7 @@
    "    \"orders.csv\",\n",
    "    index_col=\"order_id\",\n",
    "    dtype={\"cancelled\": bool},\n",
-    "    parse_dates=[\"placed_at\", \"pickup_at\", \"delivery_at\"]\n",
+    "    parse_dates=[\"placed_at\", \"pickup_at\", \"delivery_at\"],\n",
    ")"
   ]
  },
@ -180,9 +180,9 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "intro-to-data-science",
   "language": "python",
-   "name": "python3"
+   "name": "intro-to-data-science"
  },
  "language_info": {
   "codemirror_mode": {
@ -194,7 +194,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.12.4"
  },
  "toc": {
   "base_numbering": 1,
--- a/03_classification/00_content.ipynb
+++ b/03_classification/00_content.ipynb
--- a/README.md
+++ b/README.md
@ -40,16 +40,21 @@ It is only expected that the student has:

 ### Getting started & Installation

-To follow this workshop, an installation of **Python 3.8** or higher is expected.
+To follow this workshop, an installation of **Python 3.9** or higher is expected.

 A popular and beginner friendly way is
-    to install the [Anaconda Distribution](https://www.anaconda.com/products/individual)
+    to install the [Anaconda Distribution](https://www.anaconda.com/download)
    that not only ships Python itself
    but also comes pre-packaged with a lot of third-party libraries
-    including [Python's scientific stack](https://scipy.org/about.html).
+    including [Python's scientific stack](https://scipy.org/).

 Detailed instructions can be found [here <img height="12" style="display: inline-block" src="static/link/to_gh.png">](https://github.com/webartifex/intro-to-python#installation).

+If you are *not* using the Anaconda Distribution,
+    you must install the third-party libraries via the command
+        `pip install -r requirements.txt` (or something equivalent)
+    before working with the notebook files.
+

 ## Contributing

--- a/poetry.lock
+++ b/poetry.lock
--- a/pyproject.toml
+++ b/pyproject.toml
@ -1,10 +1,11 @@
 [build-system]
-requires = ["poetry-core>=1.0.0"]
+requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"

+
 [tool.poetry]
 name = "intro-to-data-science"
-version = "0.1.0.dev0"
+version = "0.3.0"

 authors = [
    "Alexander Hess <alexander@webartifex.biz>",
@ -25,13 +26,18 @@ readme = "README.md"
 homepage = "https://github.com/webartifex/intro-to-data-science"
 repository = "https://github.com/webartifex/intro-to-data-science"

+package-mode = false
+
+
 [tool.poetry.dependencies]
-python = "^3.8"
+python = "^3.9"

-jupyterlab = "^3.1"
-matplotlib = "^3.4"
-numpy = "^1.21"
-pandas = "^1.3"
-scikit-learn = "^1.0"
+jupyterlab = "^4.2"
+matplotlib = "^3.9"
+numpy = "^2.0"
+pandas = "^2.2"
+scikit-learn = "^1.5"

-[tool.poetry.dev-dependencies]
+[tool.poetry.group.dev.dependencies]
+black = {extras = ["jupyter"], version = "^24.4"}
+invoke = "^2.2"
--- a/requirements.txt
+++ b/requirements.txt
@ -0,0 +1,115 @@
+anyio==4.4.0 ; python_version >= "3.9" and python_version < "4.0"
+appnope==0.1.4 ; python_version >= "3.9" and python_version < "4.0" and platform_system == "Darwin"
+argon2-cffi-bindings==21.2.0 ; python_version >= "3.9" and python_version < "4.0"
+argon2-cffi==23.1.0 ; python_version >= "3.9" and python_version < "4.0"
+arrow==1.3.0 ; python_version >= "3.9" and python_version < "4.0"
+asttokens==2.4.1 ; python_version >= "3.9" and python_version < "4.0"
+async-lru==2.0.4 ; python_version >= "3.9" and python_version < "4.0"
+attrs==23.2.0 ; python_version >= "3.9" and python_version < "4.0"
+babel==2.15.0 ; python_version >= "3.9" and python_version < "4.0"
+beautifulsoup4==4.12.3 ; python_version >= "3.9" and python_version < "4.0"
+bleach==6.1.0 ; python_version >= "3.9" and python_version < "4.0"
+certifi==2024.7.4 ; python_version >= "3.9" and python_version < "4.0"
+cffi==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
+charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "4.0"
+colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0" and sys_platform == "win32"
+comm==0.2.2 ; python_version >= "3.9" and python_version < "4.0"
+contourpy==1.2.1 ; python_version >= "3.9" and python_version < "4.0"
+cycler==0.12.1 ; python_version >= "3.9" and python_version < "4.0"
+debugpy==1.8.2 ; python_version >= "3.9" and python_version < "4.0"
+decorator==5.1.1 ; python_version >= "3.9" and python_version < "4.0"
+defusedxml==0.7.1 ; python_version >= "3.9" and python_version < "4.0"
+exceptiongroup==1.2.2 ; python_version >= "3.9" and python_version < "3.11"
+executing==2.0.1 ; python_version >= "3.9" and python_version < "4.0"
+fastjsonschema==2.20.0 ; python_version >= "3.9" and python_version < "4.0"
+fonttools==4.53.1 ; python_version >= "3.9" and python_version < "4.0"
+fqdn==1.5.1 ; python_version >= "3.9" and python_version < "4"
+h11==0.14.0 ; python_version >= "3.9" and python_version < "4.0"
+httpcore==1.0.5 ; python_version >= "3.9" and python_version < "4.0"
+httpx==0.27.0 ; python_version >= "3.9" and python_version < "4.0"
+idna==3.7 ; python_version >= "3.9" and python_version < "4.0"
+importlib-metadata==8.0.0 ; python_version >= "3.9" and python_version < "3.10"
+importlib-resources==6.4.0 ; python_version >= "3.9" and python_version < "3.10"
+ipykernel==6.29.5 ; python_version >= "3.9" and python_version < "4.0"
+ipython==8.18.1 ; python_version >= "3.9" and python_version < "4.0"
+isoduration==20.11.0 ; python_version >= "3.9" and python_version < "4.0"
+jedi==0.19.1 ; python_version >= "3.9" and python_version < "4.0"
+jinja2==3.1.4 ; python_version >= "3.9" and python_version < "4.0"
+joblib==1.4.2 ; python_version >= "3.9" and python_version < "4.0"
+json5==0.9.25 ; python_version >= "3.9" and python_version < "4.0"
+jsonpointer==3.0.0 ; python_version >= "3.9" and python_version < "4.0"
+jsonschema-specifications==2023.12.1 ; python_version >= "3.9" and python_version < "4.0"
+jsonschema==4.23.0 ; python_version >= "3.9" and python_version < "4.0"
+jsonschema[format-nongpl]==4.23.0 ; python_version >= "3.9" and python_version < "4.0"
+jupyter-client==8.6.2 ; python_version >= "3.9" and python_version < "4.0"
+jupyter-core==5.7.2 ; python_version >= "3.9" and python_version < "4.0"
+jupyter-events==0.10.0 ; python_version >= "3.9" and python_version < "4.0"
+jupyter-lsp==2.2.5 ; python_version >= "3.9" and python_version < "4.0"
+jupyter-server-terminals==0.5.3 ; python_version >= "3.9" and python_version < "4.0"
+jupyter-server==2.14.2 ; python_version >= "3.9" and python_version < "4.0"
+jupyterlab-pygments==0.3.0 ; python_version >= "3.9" and python_version < "4.0"
+jupyterlab-server==2.27.2 ; python_version >= "3.9" and python_version < "4.0"
+jupyterlab==4.2.3 ; python_version >= "3.9" and python_version < "4.0"
+kiwisolver==1.4.5 ; python_version >= "3.9" and python_version < "4.0"
+markupsafe==2.1.5 ; python_version >= "3.9" and python_version < "4.0"
+matplotlib-inline==0.1.7 ; python_version >= "3.9" and python_version < "4.0"
+matplotlib==3.9.1 ; python_version >= "3.9" and python_version < "4.0"
+mistune==3.0.2 ; python_version >= "3.9" and python_version < "4.0"
+nbclient==0.10.0 ; python_version >= "3.9" and python_version < "4.0"
+nbconvert==7.16.4 ; python_version >= "3.9" and python_version < "4.0"
+nbformat==5.10.4 ; python_version >= "3.9" and python_version < "4.0"
+nest-asyncio==1.6.0 ; python_version >= "3.9" and python_version < "4.0"
+notebook-shim==0.2.4 ; python_version >= "3.9" and python_version < "4.0"
+numpy==2.0.0 ; python_version >= "3.9" and python_version < "4.0"
+overrides==7.7.0 ; python_version >= "3.9" and python_version < "4.0"
+packaging==24.1 ; python_version >= "3.9" and python_version < "4.0"
+pandas==2.2.2 ; python_version >= "3.9" and python_version < "4.0"
+pandocfilters==1.5.1 ; python_version >= "3.9" and python_version < "4.0"
+parso==0.8.4 ; python_version >= "3.9" and python_version < "4.0"
+pexpect==4.9.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform != "win32"
+pillow==10.4.0 ; python_version >= "3.9" and python_version < "4.0"
+platformdirs==4.2.2 ; python_version >= "3.9" and python_version < "4.0"
+prometheus-client==0.20.0 ; python_version >= "3.9" and python_version < "4.0"
+prompt-toolkit==3.0.47 ; python_version >= "3.9" and python_version < "4.0"
+psutil==6.0.0 ; python_version >= "3.9" and python_version < "4.0"
+ptyprocess==0.7.0 ; python_version >= "3.9" and python_version < "4.0" and (os_name != "nt" or sys_platform != "win32")
+pure-eval==0.2.2 ; python_version >= "3.9" and python_version < "4.0"
+pycparser==2.22 ; python_version >= "3.9" and python_version < "4.0"
+pygments==2.18.0 ; python_version >= "3.9" and python_version < "4.0"
+pyparsing==3.1.2 ; python_version >= "3.9" and python_version < "4.0"
+python-dateutil==2.9.0.post0 ; python_version >= "3.9" and python_version < "4.0"
+python-json-logger==2.0.7 ; python_version >= "3.9" and python_version < "4.0"
+pytz==2024.1 ; python_version >= "3.9" and python_version < "4.0"
+pywin32==306 ; sys_platform == "win32" and platform_python_implementation != "PyPy" and python_version >= "3.9" and python_version < "4.0"
+pywinpty==2.0.13 ; python_version >= "3.9" and python_version < "4.0" and os_name == "nt"
+pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "4.0"
+pyzmq==26.0.3 ; python_version >= "3.9" and python_version < "4.0"
+referencing==0.35.1 ; python_version >= "3.9" and python_version < "4.0"
+requests==2.32.3 ; python_version >= "3.9" and python_version < "4.0"
+rfc3339-validator==0.1.4 ; python_version >= "3.9" and python_version < "4.0"
+rfc3986-validator==0.1.1 ; python_version >= "3.9" and python_version < "4.0"
+rpds-py==0.19.0 ; python_version >= "3.9" and python_version < "4.0"
+scikit-learn==1.5.1 ; python_version >= "3.9" and python_version < "4.0"
+scipy==1.13.1 ; python_version >= "3.9" and python_version < "4.0"
+send2trash==1.8.3 ; python_version >= "3.9" and python_version < "4.0"
+setuptools==70.3.0 ; python_version >= "3.9" and python_version < "4.0"
+six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
+sniffio==1.3.1 ; python_version >= "3.9" and python_version < "4.0"
+soupsieve==2.5 ; python_version >= "3.9" and python_version < "4.0"
+stack-data==0.6.3 ; python_version >= "3.9" and python_version < "4.0"
+terminado==0.18.1 ; python_version >= "3.9" and python_version < "4.0"
+threadpoolctl==3.5.0 ; python_version >= "3.9" and python_version < "4.0"
+tinycss2==1.3.0 ; python_version >= "3.9" and python_version < "4.0"
+tomli==2.0.1 ; python_version >= "3.9" and python_version < "3.11"
+tornado==6.4.1 ; python_version >= "3.9" and python_version < "4.0"
+traitlets==5.14.3 ; python_version >= "3.9" and python_version < "4.0"
+types-python-dateutil==2.9.0.20240316 ; python_version >= "3.9" and python_version < "4.0"
+typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.11"
+tzdata==2024.1 ; python_version >= "3.9" and python_version < "4.0"
+uri-template==1.3.0 ; python_version >= "3.9" and python_version < "4.0"
+urllib3==2.2.2 ; python_version >= "3.9" and python_version < "4.0"
+wcwidth==0.2.13 ; python_version >= "3.9" and python_version < "4.0"
+webcolors==24.6.0 ; python_version >= "3.9" and python_version < "4.0"
+webencodings==0.5.1 ; python_version >= "3.9" and python_version < "4.0"
+websocket-client==1.8.0 ; python_version >= "3.9" and python_version < "4.0"
+zipp==3.19.2 ; python_version >= "3.9" and python_version < "3.10"
--- a/tasks.py
+++ b/tasks.py
@ -0,0 +1,73 @@
+"""Maintenance tasks for the project."""
+
+import json
+import os
+import sys
+import tempfile
+import tomllib
+
+import invoke
+
+try:
+    from jupyter_client import kernelspec
+except ImportError:
+    raise RuntimeError('Install the "ipykernel" package first') from None
+
+
+def _ensure_venv():
+    # Source: https://stackoverflow.com/questions/1871549/how-to-determine-if-python-is-running-inside-a-virtualenv  # pylint:disable=C0301
+    if sys.prefix == sys.base_prefix:
+        raise RuntimeError("Run this command in an activated `virtualenv`")
+
+
+def _get_pyproject_name():
+    with open("pyproject.toml", "rb") as fp:
+        data = tomllib.load(fp)
+
+    try:
+        project_name = data["tool"]["poetry"]["name"]
+    except KeyError:
+        raise RuntimeError('"pyproject.toml" seems to be malformed') from None
+
+    return project_name
+
+
+@invoke.task
+def install_kernel(_c):
+    """Install the activated `virtualenv` as a `jupyter kernel`.
+    This helper task
+    """
+    _ensure_venv()
+    project_name = _get_pyproject_name()
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        spec = {
+            "argv": [
+                sys.prefix + "/bin/python",
+                "-m",
+                "ipykernel_launcher",
+                "-f",
+                "{connection_file}",
+            ],
+            "display_name": project_name,
+            "env": {"PATH": os.environ["PATH"]},
+            "interrupt_mode": "signal",
+            "language": "python",
+            "metadata": {"debugger": True},
+        }
+
+        with open(os.path.join(tmpdir, "kernel.json"), "w", encoding="utf-8") as fp:
+            json.dump(spec, fp, indent=4)
+
+        manager = kernelspec.KernelSpecManager()
+        manager.install_kernel_spec(tmpdir, kernel_name=project_name, user=True)
+
+
+@invoke.task
+def remove_kernel(_c):
+    """Remove the `jupyter kernel` corresponding to the activated `virtualenv`."""
+    _ensure_venv()
+    project_name = _get_pyproject_name()
+
+    manager = kernelspec.KernelSpecManager()
+    manager.remove_kernel_spec(project_name)
Author	SHA1	Message	Date
Alexander Hess	cc56869d98	Merge branch 'develop' into main	2024-07-15 12:16:36 +02:00
Alexander Hess	bbfec01401	Merge branch 'refurbish-project' into develop	2024-07-15 12:13:33 +02:00
Alexander Hess	51a5dcc8ee	Run black on all the notebooks - we use black's default settings - some cells are NOT kept in black's format to: - increase readability - or show Python's flexibility with regard to style	2024-07-15 12:12:51 +02:00
Alexander Hess	0ed024e020	Fix wrong symbol as cell magic	2024-07-15 12:12:51 +02:00
Alexander Hess	bd282f4528	Use higher resolution plots	2024-07-15 12:12:50 +02:00
Alexander Hess	f0d92ed229	Set random seeds where applicable	2024-07-15 12:12:50 +02:00
Alexander Hess	3125c82096	Run notebooks with updates and custom kernel	2024-07-15 12:12:50 +02:00
Alexander Hess	79a2e45e49	Add tasks to install and remove kernels	2024-07-15 12:12:49 +02:00
Alexander Hess	4ed5551d0e	Add invoke to the dev dependencies	2024-07-15 12:12:49 +02:00
Alexander Hess	2f99461c9c	Add black to the dev dependencies	2024-07-15 12:12:49 +02:00
Alexander Hess	401301e5dc	Add requirements.txt as an alternative to poetry.lock	2024-07-15 12:12:48 +02:00
Alexander Hess	75d4c22f0b	Update links	2024-07-15 12:12:48 +02:00
Alexander Hess	4d95a73ac3	Pin the dependencies	2024-07-15 12:12:48 +02:00
Alexander Hess	16c571d462	Update the (un-pinned) dependencies	2024-07-15 12:12:47 +02:00
Alexander Hess	906dfa0345	Use poetry's latest config style and options	2024-07-15 12:12:47 +02:00
Alexander Hess	f5fec203e1	Bump version	2024-07-15 09:10:17 +02:00
Alexander Hess	da3eb9344d	Merge branch 'develop' into main	2021-10-05 10:49:20 +02:00
Alexander Hess	297efe8298	Merge branch 'develop' into main	2021-05-25 03:14:31 +02:00