diff --git a/00_python_in_a_nutshell/00_content_arithmetic.ipynb b/00_python_in_a_nutshell/00_content_arithmetic.ipynb
index 3a27936..d000eaf 100644
--- 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,
diff --git a/00_python_in_a_nutshell/01_exercises_calculator.ipynb b/00_python_in_a_nutshell/01_exercises_calculator.ipynb
index 758aa47..5dbbfaf 100644
--- 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,
diff --git a/00_python_in_a_nutshell/02_content_logic.ipynb b/00_python_in_a_nutshell/02_content_logic.ipynb
index c40c754..32ab209 100644
--- 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 ![](\"../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 ](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,
diff --git a/00_python_in_a_nutshell/03_exercises_loops.ipynb b/00_python_in_a_nutshell/03_exercises_loops.ipynb
index 58fc7ad..46670ec 100644
--- 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,
diff --git a/00_python_in_a_nutshell/04_exercises_fizz_buzz.ipynb b/00_python_in_a_nutshell/04_exercises_fizz_buzz.ipynb
index 57df84f..3b5e5ab 100644
--- 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,
diff --git a/00_python_in_a_nutshell/05_content_functions.ipynb b/00_python_in_a_nutshell/05_content_functions.ipynb
index 7961934..d3b0ff1 100644
--- 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 ](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 ](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\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 ](https://docs.python.org/3/library/random.html) module, for example, the [random() ](https://docs.python.org/3/library/random.html#random.random) function, we use the `.` operator, formally called the attribute access operator. The [random() ](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 ](https://docs.python.org/3/library/random.html) module, for example, the [seed() ](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() ](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() ](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,
diff --git a/00_python_in_a_nutshell/06_exercises_volume.ipynb b/00_python_in_a_nutshell/06_exercises_volume.ipynb
index ded4b96..e50152e 100644
--- 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,
diff --git a/00_python_in_a_nutshell/07_content_data_types.ipynb b/00_python_in_a_nutshell/07_content_data_types.ipynb
index a40af42..2ac1470 100644
--- 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\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\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\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,
diff --git a/01_scientific_stack/00_content_numpy.ipynb b/01_scientific_stack/00_content_numpy.ipynb
index 1872760..7ad92fe 100644
--- a/01_scientific_stack/00_content_numpy.ipynb
+++ b/01_scientific_stack/00_content_numpy.ipynb
@@ -36,7 +36,7 @@
"source": [
"Before we can import these libraries, we must ensure that they installed on our computers. If you installed Python via the Anaconda Distribution that should already be the case. Otherwise, we can use Python's **package manager** `pip` to install them manually.\n",
"\n",
- "`pip` is a so-called command-line interface (CLI), meaning it is a program that is run within a terminal window. JupyterLab allows us to run such a CLI tool from within a notebook by starting a code cell with a single `%` symbol. Here, this does not mean Python's modulo operator but is just an instruction to JupyterLab that the following code is *not* Python.\n",
+ "`pip` is a so-called command-line interface (CLI), meaning it is a program that is run within a terminal window. JupyterLab allows us to run such a CLI tool from within a notebook by starting a code cell with a single `!` symbol. Here, this does not mean Python's modulo operator but is just an instruction to JupyterLab that the following code is *not* Python.\n",
"\n",
"So, let's proceed by installing [numpy ![](\"../static/link/to_np.png\")
](https://numpy.org/) and [matplotlib ![](\"../static/link/to_plt.png\")
](https://matplotlib.org/)."
]
@@ -50,13 +50,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Requirement already satisfied: numpy in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (1.21.1)\n",
- "Note: you may need to restart the kernel to use updated packages.\n"
+ "Requirement already satisfied: numpy in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (2.0.0)\n"
]
}
],
"source": [
- "%pip install numpy"
+ "!pip install numpy"
]
},
{
@@ -68,20 +67,22 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Requirement already satisfied: matplotlib in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (3.4.3)\n",
- "Requirement already satisfied: python-dateutil>=2.7 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from matplotlib) (2.8.2)\n",
- "Requirement already satisfied: cycler>=0.10 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from matplotlib) (0.10.0)\n",
- "Requirement already satisfied: pyparsing>=2.2.1 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from matplotlib) (2.4.7)\n",
- "Requirement already satisfied: kiwisolver>=1.0.1 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from matplotlib) (1.3.2)\n",
- "Requirement already satisfied: pillow>=6.2.0 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from matplotlib) (8.3.2)\n",
- "Requirement already satisfied: numpy>=1.16 in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from matplotlib) (1.21.1)\n",
- "Requirement already satisfied: six in /home/webartifex/repos/intro-to-data-science/.venv/lib/python3.8/site-packages (from cycler>=0.10->matplotlib) (1.16.0)\n",
- "Note: you may need to restart the kernel to use updated packages.\n"
+ "Requirement already satisfied: matplotlib in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (3.9.1)\n",
+ "Requirement already satisfied: contourpy>=1.0.1 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (1.2.1)\n",
+ "Requirement already satisfied: cycler>=0.10 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (0.12.1)\n",
+ "Requirement already satisfied: fonttools>=4.22.0 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (4.53.1)\n",
+ "Requirement already satisfied: kiwisolver>=1.3.1 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (1.4.5)\n",
+ "Requirement already satisfied: numpy>=1.23 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (2.0.0)\n",
+ "Requirement already satisfied: packaging>=20.0 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (24.1)\n",
+ "Requirement already satisfied: pillow>=8 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (10.4.0)\n",
+ "Requirement already satisfied: pyparsing>=2.3.1 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (3.1.2)\n",
+ "Requirement already satisfied: python-dateutil>=2.7 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from matplotlib) (2.9.0.post0)\n",
+ "Requirement already satisfied: six>=1.5 in /home/instructor/Repositories/intro-to-data-science/.venv/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n"
]
}
],
"source": [
- "%pip install matplotlib"
+ "!pip install matplotlib"
]
},
{
@@ -281,10 +282,12 @@
}
],
"source": [
- "m1 = np.array([\n",
- " [1, 2, 3, 4, 5],\n",
- " [6, 7, 8, 9, 10],\n",
- "])\n",
+ "m1 = np.array(\n",
+ " [\n",
+ " [1, 2, 3, 4, 5],\n",
+ " [6, 7, 8, 9, 10],\n",
+ " ]\n",
+ ")\n",
"\n",
"m1"
]
@@ -368,8 +371,7 @@
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m/tmp/user/1000/ipykernel_1264563/568665770.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mv1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mm1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
- "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mdot\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
+ "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mv1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mm1\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[0;31mValueError\u001b[0m: shapes (5,) and (2,5) not aligned: 5 (dim 0) != 2 (dim 0)"
]
}
@@ -429,7 +431,7 @@
{
"data": {
"text/plain": [
- "1"
+ "np.int64(1)"
]
},
"execution_count": 14,
@@ -449,7 +451,7 @@
{
"data": {
"text/plain": [
- "5"
+ "np.int64(5)"
]
},
"execution_count": 15,
@@ -779,7 +781,7 @@
{
"data": {
"text/plain": [
- "6"
+ "np.int64(6)"
]
},
"execution_count": 28,
@@ -1062,7 +1064,7 @@
{
"data": {
"text/plain": [
- "1"
+ "np.int64(1)"
]
},
"execution_count": 39,
@@ -1210,14 +1212,12 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -1249,14 +1249,12 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -1278,13 +1276,29 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Let us quickly generate some random data points and draw a scatter plot with [matplotlib ](https://matplotlib.org/)'s [plt.scatter() ](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter) function."
+ "First, let's set the [np.random.seed() ](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": 44,
"metadata": {},
+ "outputs": [],
+ "source": [
+ "np.random.seed(42)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Then, let us quickly generate some random data points and draw a scatter plot with [matplotlib ](https://matplotlib.org/)'s [plt.scatter() ](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter) function."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "metadata": {},
"outputs": [
{
"data": {
@@ -1292,20 +1306,18 @@
""
]
},
- "execution_count": 44,
+ "execution_count": 45,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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sjRbDpWnZ0pLt8+5DJ2LFtG5Gls+29/h7b96W+HgZJ6Y2LNcay4l9XIJeC0XilpZsHYYOo2viiIhVK5amdhaXcWKKoaO0KA11nE8JvAXqGn+cNqIEhtcumzoiYtCJqejn1IbWaQwn9nEeb0EvZiXF1XlZPbc+nFQOGVa7bGLZKa1mDhT+nPLeVSimmnlo/Un9xn28Bb2YlRQXygJOoy5MFltiKaqMz2nUxai0eFX5qjreKlnMSsIXymX1KLXLNg4VK+NzGrXs1Iaa+biN+3hTCaXhQhnNMcoEojYOFSvrcxql7BTKyb1Jxn28qQWeIPRFh0ZRZafPKPtplNZhGxNLHZ1zaUllyeGLK3vPphv356gWeJ+mjaWtqtMnz37K2joM5aphnOronFuzcjlrbr2PfQfm9048+cz+oKb3x2Tcn6M6MfuE0ukXuir3U97OtbZ1fJbhtGu+xd7ZfQu2j9p5qv1erbROTLXA+7Tx8j2PqvZTLxnM7jtwcPGrpRmSQpYrAiWahX6ZkLwh++fYtCvW2KgG3kczvbKpYj/NHX0CncWvevXDYclg2IiKpJEtl9+8jRMb0M9RRNHPUSNZ6qUE3ieGmV4hqGI/FUkGw64Ikn52r3g4zmGKoXWQF/0cdcVaL5VQ+oQ+0ysURfZTWikjSzJIe+2wjs+0Gzn3jGOYYojlhqJ/72n7/YgJjWQZB3ViSukG1ZoHdVCmTbnvdagNei0w8LHLb96WekegnrRZoWVpYgf55q0zrPnifex7fv7eXbzIWP/Hp6rhUxLNxJSxGDaLclCZZNjl/LAJPmnjzNNu5Nyv6n6OJpYbVq1YyosPW3ghv++Aqw4+BiqhBKQJoySGJdlBSWzY5fywBJg2zjxLghxHP0dTx7fvfbrYSBbJr1ACN7MlwGeBk+n0CV3i7neVEFfrDKuPhp7ce/Gl1Zp7B/OwJDZosk/eBJj2uix3BirTOO9HOk5NPTHFoGgJ5ZPAN939VcCp6J6YuQ1quYa+uFP/8L8kvYO5yKiHvK9Ne93fv+XU0u41mkUVa5yHMKpFI7fqk7sFbmZHAK8HLgZw9+eA58oJq30GlQdCX9wp7d6XPXMP5iKjHvK+NqSRRWWucR7KqJaQ9m/b5B6FYman0bmJ8Y/otL7vAS5z96fSXlPmKJTQSwqjGjRCYVe35d2v6lETWaWt9Q1kmkUp+TRxVIskq2IUyiHAbwOfdvcVwFPA2oQ3Xm1m02Y2vWfPngJv94LQSwp5DLoMDX12aFocvUSSNXmHUA6ISRNHtYxCfy/FEvhOYKe73939/lY6CX0ed9/g7lPuPjU5OVng7V7QxOm7g+qjodcY0+59+fRz+zMfVE08KVct9BN7lfT30pG7Bu7uj5rZ/5rZcnffAZxNp5xSuaa2PNLqo6HXGHtxfOC27fNWtnvi6X2Za7Kh1/lDlHVUS9PKjaC/l56i48DfDdxoZocC/wP8WfGQhmvjsKXQb/DbmzDTvzRp1oOqqSflKvXfNHqR2bwr0d7w0xA6Osumv5eOQgnc3bcBCwrrVWvqeNoYDGrNFTmoyjgpN7GlOUzv90tL0k1tqbaxEZckyqn0VYynbYoqO3aG1R2L1GSL1vnbvFzsoCRd5KQacidh6P1C4xLtVPrQSwp1qPpyeVhrrsiVUdE6f5blYue+T5MMStJ5W6qhl15C7xcal2gTuCxU9eVylrVIenHkOaiKnJSHtSibUDZIMyhJ5z2plvG3VHVJK5ZGXJX7QQm8Qaru2MnSmqvroEqLba6mdnANStJ5T6pF/5ZCb8GPS9X7QQm8QaruCBxH53He1kpSbP0G7Ye6OkDLeN9hSTrPSbXo31JTO09HVfV+UAJvkKIJdlhroeq6Y5HWSv+QOoN50/sH7Ye6WotJ77vm1vv4wG3b+eXsvpHXiSkz1qJ/Sxrm11H1flACb5AqOgL7WwtZEkXeVmXR1src2EaJoa7WYtL77jvgB8fS11l2qOpWa20b5lf1flACb5gqOgJHaS0Uac2W2VoZZT/U1VrM8vPrLDsU+VvSXI2OqvdDlOPApRplrK1RZJ2atPep+ga5VawpkmUMddafH2PZQXM1OqreD2qBy0FltBaKtGbXrFyeeIPcp7qLYlV18JfdSkq7Cpl+6HG+/eM9B6e9H3BfUKtPUtbl9rg7aste+zzWMd9VjsxSApeDyuikHKXml3RQvviwQ3ii7x6LvRvkVnUQlN05m3YVcuMPHj6YrA901+F3OJjEjzx8MU8+s3/eCaysy+2Yh/XFHHvVct/QIY8yb+ggYeo/2KCThPovG9OelzYMMJSbV2Qx6AYXaXprp1fV0oz55g8xx16WtBs6qAUeqVAvKbO2ZtNaqb3SQr+YRi9kmVTUb+5s1io+x5iH9cUce9WUwCMU+iVlliSUdvAdcF/QEo9t9EJSTX1YrbvqE1TMw/pijr1qGoUSoSbckWjQbdhiH72QNPLgbacvS7xrEYznBBXz6n0xx141tcAj1IRLymHrd8SUsJMk/Q5TLztq3s0XDriP7abPMa/eF3PsVSvciWlmi4BpYMbdzxv0XHViliNvp05odfPQ4ilLU38vqU+VnZiXAQ8CLy3hZ0kGecYth1g3j7GlPSg5b946wzVf3T5vGOTc/QxqRUq5CiVwMzseOBf4EPBXpUQkQ+W5pNTqcMUNOgkCC06qPbP7DvCB27bz7P7ngzqBSvyKtsCvBa4AXlI8FBnFqK3XJtTNxyWtlT2s83jQUrb9N3ue+1olcMkrdwI3s/OA3e5+j5mdOeB5q4HVAMuWLcv7dlKQhmJlM6iVXcVJcJwnUNXmm6fIMMIzgDeZ2c+BLwBnmdnn+5/k7hvcfcrdpyYnJwu8nRTR1KFYZd94d1Are9CiV4NOhBOLF3Hk4ckLco3rBDrshtQSp9wJ3N2vcvfj3f1E4K3AHe5+YWmRSamauDpcFUlpUCt70Ekw6TGAJROL+fCbT+HqP3p1rSfQJswdkIU0DrwGdV3KxjjqY5AqOmYHlZqydB5nWUKgjhKG+kCaqZQE7u7fAb5Txs9quhCH88WqiqQ0bIjmoJPgsBNknSdQ9YE0k6bSj5kuZctTxY0Ymlhqgub2gbSdSihjpkvZ8lR1u6qmlZpA09GbSgl8zHQpWx4lpdE08cTUdkrgY6abvZZLSUnaTAl8zNRqFJGyKIHXQK1GESmDRqGIiERKCVxEJFJK4CIikVICFxGJlBK4iEikCt8Tc6Q3M9sDPJTw0NHAY2MLJJ8YYoQ44lSM5VCM5Yghxpe5+4L1uMeawNOY2XTSDTtDEkOMEEecirEcirEcMcSYRiUUEZFIKYGLiEQqlAS+oe4AMoghRogjTsVYDsVYjhhiTBREDVxEREYXSgtcRERGpAQuIhKpsSdwMzvMzH5oZveZ2XYzu6bv8X8wsyfHHVdfDIkxWseHzOy/zexBM3tPgDGebWb3mtk2M/uemb2irhjnxLrIzLaa2de6359kZneb2U/N7GYzOzTAGG80sx1m9oCZbTSzxaHFOGd77cdMT8J+DOaYmSshzuCOmyzqaIE/C5zl7qcCpwHnmNnpAGY2BRxZQ0z90mK8GDgBeJW7/xbwhdoiTI/x08Db3P004F+Bv60twhdcBjw45/uPAJ9w91cATwCX1hLVfP0x3gi8CjgFmADeUUdQffpjDOmY6emP8WLCOWbm6o8zxONmqLEncO/otRYWd/+5mS0C1gNXjDumfmkxAu8CPujuz3eft7umEAfF6MBLu9uPAHbVEN5BZnY8cC7w2e73BpwF3Np9yg3AqlqC6+qPEcDdv9Hdxw78EDi+rvggOcaQjhlIjpGAjpmelDiDOm6yqqUG3r182QbsBm5397uBvwRuc/dH6oipX0qMLwf+1MymzezfzOw3A4zxHcA3zGwn8HZgXY0hAlxLJ8E83/3+14C97r6/+/1OoO67W1zL/BgP6pZO3g58c8wx9buWhTEGdcyQHGNQx0zXtSyMM7TjJpNaEri7H+heqhwPvNbMXg/8CfCPdcSTJCHGk4FfAZ7pTrv9Z2BjjSGmxXg58EZ3Px74F+DjdcVnZucBu939nrpiGCZDjP8E3Onu3x1jWPMkxWhmxxHQMTNgPwZ1zAyIM5jjZhS13lLN3fea2beBNwCvAH7aucLmcDP7abdGWqs5MZ5Dp7W4qfvQl+l80LWbE+MfAqd2W+IAN1Nvy/EM4E1m9kbgMDqXqJ8ElpjZId1W+PHATEgxmtnn3f1CM7samAT+vMb4IHk/bqfTDxLKMZO4HwnvmEmK8+t0avShHDfZuftY/9E5IJZ0v54Avguc1/ecJ8cdV5YY6VxWXdLdfibwnwHG+Bjwyu72S4Ev1bkv58R7JvC17tdfBN7a/fozwF/UHV9CjO8A/gOYqDuutBj7ttd6zAzYj8EcM2lx0mnIBnncDPtXRwv8WOCGbgfMi4Bb3P1rQ14zbokxmtn3gBvN7HLgSeodmZAW4zuBL5nZ83RGeFxSY4xprgS+YGZ/B2wFrqs5niSfobP08V3dFu4md/9gvSFFaR3hHDOJ3H1/JMfNAppKLyISKc3EFBGJlBK4iEiklMBFRCKlBC4iEiklcBGRSCmBi4hESglcRCRS/w+5qM8EHI2MEwAAAABJRU5ErkJggg==\n",
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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -1319,9 +1331,9 @@
],
"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": {
@@ -1333,7 +1345,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.12"
+ "version": "3.12.4"
},
"toc": {
"base_numbering": 1,
diff --git a/01_scientific_stack/01_exercises_arrays.ipynb b/01_scientific_stack/01_exercises_arrays.ipynb
index 3b44856..78ec38d 100644
--- 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,
diff --git a/01_scientific_stack/02_content_pandas.ipynb b/01_scientific_stack/02_content_pandas.ipynb
index 7939074..2adc9dd 100644
--- 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": [
"\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": [
"\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": [
"\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,
diff --git a/01_scientific_stack/03_exercises_simple_queries.ipynb b/01_scientific_stack/03_exercises_simple_queries.ipynb
index e588608..e2e3259 100644
--- 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,
diff --git a/03_classification/00_content.ipynb b/03_classification/00_content.ipynb
index 90d4f54..5c3d4c4 100644
--- a/03_classification/00_content.ipynb
+++ b/03_classification/00_content.ipynb
@@ -194,6 +194,7 @@
"text/plain": [
"['DESCR',\n",
" 'data',\n",
+ " 'data_module',\n",
" 'feature_names',\n",
" 'filename',\n",
" 'frame',\n",
@@ -506,30 +507,28 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
"feature_index = 2\n",
- "colors = ['blue', 'red', 'green']\n",
+ "colors = [\"blue\", \"red\", \"green\"]\n",
"\n",
"for label, color in zip(range(len(iris.target_names)), colors):\n",
" plt.hist(\n",
- " iris.data[iris.target==label, feature_index], \n",
+ " iris.data[iris.target == label, feature_index],\n",
" label=iris.target_names[label],\n",
" color=color,\n",
" )\n",
"\n",
"plt.xlabel(iris.feature_names[feature_index])\n",
- "plt.legend(loc='upper right')\n",
+ "plt.legend(loc=\"upper right\")\n",
"plt.show()"
]
},
@@ -547,14 +546,12 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -562,19 +559,19 @@
"first_feature_index = 1\n",
"second_feature_index = 0\n",
"\n",
- "colors = ['blue', 'red', 'green']\n",
+ "colors = [\"blue\", \"red\", \"green\"]\n",
"\n",
"for label, color in zip(range(len(iris.target_names)), colors):\n",
" plt.scatter(\n",
- " iris.data[iris.target==label, first_feature_index], \n",
- " iris.data[iris.target==label, second_feature_index],\n",
+ " iris.data[iris.target == label, first_feature_index],\n",
+ " iris.data[iris.target == label, second_feature_index],\n",
" label=iris.target_names[label],\n",
" c=color,\n",
" )\n",
"\n",
"plt.xlabel(iris.feature_names[first_feature_index])\n",
"plt.ylabel(iris.feature_names[second_feature_index])\n",
- "plt.legend(loc='upper left')\n",
+ "plt.legend(loc=\"upper left\")\n",
"plt.show()"
]
},
@@ -601,14 +598,12 @@
"outputs": [
{
"data": {
- "image/png": "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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -766,9 +761,9 @@
{
"data": {
"text/plain": [
- "array([1, 0, 2, 2, 1, 0, 1, 1, 1, 0, 0, 2, 2, 0, 0, 2, 0, 1, 0, 0, 2, 2,\n",
- " 0, 2, 1, 0, 2, 2, 2, 1, 0, 1, 1, 2, 0, 1, 2, 1, 2, 1, 2, 1, 0, 1,\n",
- " 0])"
+ "array([2, 1, 2, 1, 2, 2, 1, 1, 0, 2, 0, 0, 2, 2, 0, 2, 1, 0, 0, 0, 1, 0,\n",
+ " 1, 2, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 0, 0, 0, 0, 1, 1, 0, 2, 2,\n",
+ " 1])"
]
},
"execution_count": 19,
@@ -777,7 +772,9 @@
}
],
"source": [
- "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7, test_size=0.3, stratify=y)\n",
+ "X_train, X_test, y_train, y_test = train_test_split(\n",
+ " X, y, train_size=0.7, test_size=0.3, random_state=42, stratify=y\n",
+ ")\n",
"\n",
"y_test"
]
@@ -874,9 +871,9 @@
{
"data": {
"text/plain": [
- "array([1, 0, 2, 2, 1, 0, 1, 1, 1, 0, 0, 2, 1, 0, 0, 2, 0, 2, 0, 0, 2, 2,\n",
- " 0, 2, 1, 0, 2, 1, 2, 1, 0, 1, 1, 2, 0, 1, 2, 1, 2, 1, 2, 1, 0, 1,\n",
- " 0])"
+ "array([2, 1, 2, 1, 2, 2, 1, 1, 0, 2, 0, 0, 2, 2, 0, 2, 1, 0, 0, 0, 1, 0,\n",
+ " 1, 2, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 0, 0, 0, 0, 1, 1, 0, 1, 2,\n",
+ " 1])"
]
},
"execution_count": 23,
@@ -903,9 +900,9 @@
{
"data": {
"text/plain": [
- "array([1, 0, 2, 2, 1, 0, 1, 1, 1, 0, 0, 2, 2, 0, 0, 2, 0, 1, 0, 0, 2, 2,\n",
- " 0, 2, 1, 0, 2, 2, 2, 1, 0, 1, 1, 2, 0, 1, 2, 1, 2, 1, 2, 1, 0, 1,\n",
- " 0])"
+ "array([2, 1, 2, 1, 2, 2, 1, 1, 0, 2, 0, 0, 2, 2, 0, 2, 1, 0, 0, 0, 1, 0,\n",
+ " 1, 2, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 0, 0, 0, 0, 1, 1, 0, 2, 2,\n",
+ " 1])"
]
},
"execution_count": 24,
@@ -932,7 +929,7 @@
{
"data": {
"text/plain": [
- "(array([12, 17, 27]),)"
+ "(array([42]),)"
]
},
"execution_count": 25,
@@ -959,7 +956,7 @@
{
"data": {
"text/plain": [
- "0.9333333333333333"
+ "np.float64(0.9777777777777777)"
]
},
"execution_count": 26,
@@ -986,7 +983,7 @@
{
"data": {
"text/plain": [
- "0.9523809523809523"
+ "np.float64(0.9714285714285714)"
]
},
"execution_count": 27,
@@ -1014,14 +1011,12 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -1047,12 +1042,12 @@
" X_test[incorrect_idx, first_feature_index],\n",
" X_test[incorrect_idx, second_feature_index],\n",
" color=\"darkred\",\n",
- " label='misclassified',\n",
+ " label=\"misclassified\",\n",
")\n",
"\n",
- "plt.xlabel('sepal width [cm]')\n",
- "plt.ylabel('petal length [cm]')\n",
- "plt.legend(loc='best')\n",
+ "plt.xlabel(\"sepal width [cm]\")\n",
+ "plt.ylabel(\"petal length [cm]\")\n",
+ "plt.legend(loc=\"best\")\n",
"plt.title(\"Iris Classification results\")\n",
"plt.show()"
]
@@ -1073,35 +1068,35 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "1 0.9555555555555556\n",
- "2 0.9333333333333333\n",
- "3 0.9333333333333333\n",
- "4 0.9333333333333333\n",
- "5 0.9333333333333333\n",
+ "1 0.9333333333333333\n",
+ "2 0.9111111111111111\n",
+ "3 0.9555555555555556\n",
+ "4 0.9555555555555556\n",
+ "5 0.9777777777777777\n",
"6 0.9333333333333333\n",
- "7 0.9111111111111111\n",
- "8 0.9111111111111111\n",
- "9 0.9111111111111111\n",
- "10 0.9333333333333333\n",
- "11 0.9555555555555556\n",
- "12 0.9555555555555556\n",
+ "7 0.9555555555555556\n",
+ "8 0.9333333333333333\n",
+ "9 0.9555555555555556\n",
+ "10 0.9555555555555556\n",
+ "11 0.9333333333333333\n",
+ "12 0.9333333333333333\n",
"13 0.9333333333333333\n",
- "14 0.9111111111111111\n",
- "15 0.9333333333333333\n",
- "16 0.9111111111111111\n",
- "17 0.9333333333333333\n",
- "18 0.9111111111111111\n",
- "19 0.9333333333333333\n",
+ "14 0.9333333333333333\n",
+ "15 0.9555555555555556\n",
+ "16 0.9555555555555556\n",
+ "17 0.9555555555555556\n",
+ "18 0.9555555555555556\n",
+ "19 0.9555555555555556\n",
"20 0.9333333333333333\n",
- "21 0.9333333333333333\n",
+ "21 0.9555555555555556\n",
"22 0.9333333333333333\n",
- "23 0.9111111111111111\n",
- "24 0.9555555555555556\n",
- "25 0.9111111111111111\n",
- "26 0.9333333333333333\n",
- "27 0.9111111111111111\n",
- "28 0.9333333333333333\n",
- "29 0.9555555555555556\n",
+ "23 0.9555555555555556\n",
+ "24 0.9333333333333333\n",
+ "25 0.9333333333333333\n",
+ "26 0.9555555555555556\n",
+ "27 0.9333333333333333\n",
+ "28 0.9111111111111111\n",
+ "29 0.9111111111111111\n",
"30 0.9111111111111111\n"
]
}
@@ -1150,9 +1145,9 @@
],
"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": {
@@ -1164,7 +1159,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.12"
+ "version": "3.12.4"
},
"toc": {
"base_numbering": 1,
diff --git a/README.md b/README.md
index d8ff599..d0e1b32 100644
--- 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 
](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
diff --git a/poetry.lock b/poetry.lock
index 9b3cceb..b44ac31 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,262 +1,959 @@
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
[[package]]
name = "anyio"
-version = "3.3.2"
+version = "4.4.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "main"
optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.8"
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+ {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
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idna = ">=2.8"
sniffio = ">=1.1"
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-trio = ["trio (>=0.16)"]
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description = "Disable App Nap on macOS >= 10.9"
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optional = false
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optional = false
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+
+[[package]]
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+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
+
+[[package]]
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+optional = false
+python-versions = ">=3.8"
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+[package.extras]
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+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.9"
+content-hash = "50d65895e6183867e6fe4c243acdc746a70d4353eb7fe17a6c03fa89c1c7176c"
diff --git a/pyproject.toml b/pyproject.toml
index 39c9a76..6c34cb0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,8 @@
[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 = "0.3.0.dev0"
@@ -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"
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..8760210
--- /dev/null
+++ 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"
diff --git a/tasks.py b/tasks.py
new file mode 100644
index 0000000..de08af5
--- /dev/null
+++ 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)