{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "(tony)=\n", "# Tony\n", "\n", "![](https://www.mashed.com/img/gallery/the-truth-about-anthony-bourdain-and-eric-riperts-friendship/intro-1627410703.webp)\n", "\n", "> *Like all good performances, it's about [timing](https://www.mashed.com/469415/the-untold-truth-of-anthony-bourdains-first-wife-nancy-putkoski/), tone, and delivery -- like cooking* \n", "\n", "```{margin}\n", "
\n", " \n", "\n", "Throughout it all, Ripert remained a constant friend, which is priceless when long-term relationships are few and far between.\n", "\n", "\n", "
\n", "\n", "```\n", "\n", " 1. f(t)\n", " \\\n", " 2. S(t) -> 4. y:h'(t)=0;t(X'X)X'Y -> 5. b -> 6. SV'\n", " /\n", " 3. h(t)\n", "\n", "## Allegory\n", "\n", "### `ii`: $\\mu$ Timing\n", "- Marriages: 20y, 9y, 0y (Paradise lost)\n", "- Addictive personality before `44y`\n", "- Let's put it in one word: inferno!\n", "\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [ "hide-input", "hide-output" ] }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "# Clock settings; f(t) random disturbances making \"paradise lost\"\n", "clock_face_radius = 1.0\n", "number_of_ticks = 8\n", "tick_labels = [\n", " \"Kitchen\", \"Mediium\", \"Cooks\", \"Nasty\",\n", " \"Typoid\", \"Reservations\", \"Layover\", \"Unknown\"\n", "]\n", "\n", "# Calculate the angles for each tick (in radians)\n", "angles = np.linspace(0, 2 * np.pi, number_of_ticks, endpoint=False)\n", "# Inverting the order to make it counterclockwise\n", "angles = angles[::-1]\n", "\n", "# Create figure and axis\n", "fig, ax = plt.subplots(figsize=(8, 8))\n", "ax.set_xlim(-1.2, 1.2)\n", "ax.set_ylim(-1.2, 1.2)\n", "ax.set_aspect('equal')\n", "\n", "# Draw the clock face\n", "clock_face = plt.Circle((0, 0), clock_face_radius, color='lightgrey', fill=True)\n", "ax.add_patch(clock_face)\n", "\n", "# Draw the ticks and labels\n", "for angle, label in zip(angles, tick_labels):\n", " x = clock_face_radius * np.cos(angle)\n", " y = clock_face_radius * np.sin(angle)\n", " \n", " # Draw the tick\n", " ax.plot([0, x], [0, y], color='black')\n", " \n", " # Positioning the labels slightly outside the clock face\n", " label_x = 1.1 * clock_face_radius * np.cos(angle)\n", " label_y = 1.1 * clock_face_radius * np.sin(angle)\n", " \n", " # Adjusting label alignment based on its position\n", " ha = 'center'\n", " va = 'center'\n", " if np.cos(angle) > 0:\n", " ha = 'left'\n", " elif np.cos(angle) < 0:\n", " ha = 'right'\n", " if np.sin(angle) > 0:\n", " va = 'bottom'\n", " elif np.sin(angle) < 0:\n", " va = 'top'\n", " \n", " ax.text(label_x, label_y, label, horizontalalignment=ha, verticalalignment=va, fontsize=10)\n", "\n", "# Remove axes\n", "ax.axis('off')\n", "\n", "# Show the plot\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### `V7`: $\\sigma$ Qualities\n", "- Author, TV host, Celebrity, Divorce`s` (Inferno) \n", "\n", "### `i`: $\\%$ Delivery\n", "- Creative-destruction, yin & yang, nihilism & [creativity](https://www.mashed.com/471794/the-truth-about-anthony-bourdain-and-eric-riperts-friendship/) ('Urgatorio')\n", "- Femme-fatale, `#`metoo ambassador, moralisism, frailty, decline\n", "\n", "\n", "\n", "```{figure} ../figures/blanche.png\n", "---\n", "width: 1px\n", "height: 1px\n", "---\n", "_Ceci n'est pas une figure._ Sink of `F#` as za \"French Connection\". It will be a fixed note as a chord progression drives through the entire circle of fifths, beginning with a very traditional ii-V7-I. The chord-progression, the `MQ-TEA`, are incidents in Anthony Bourdin's life. One of the incidents is Eric Ripert (aka Za Ripper), a stable, classical, element in the unstable, romantic, chaos of our beloved Tony's life.\n", "```\n", "\n", "```{margin}\n", "\n", "
\n", " \n", "\n", "What you're touching on here is the complexity and multifaceted nature of human life and experience $(X'X)^T \\cdot X'Y$, and how reducing that complexity to a single cause or variable can be deeply reductive. It's akin to flattening a rich, multivariable $\\beta$, hierarchical data set into a single dimension—it loses the nuance and the interconnectedness of the whole picture.\n", "\n", "Anthony Bourdain's brilliance was in his ability to navigate these complexities $SV'$, to explore the human condition through the `lenses` or `modes` of food, culture, television, and conversation in a way that was deeply layered $f_m(t)$. He wasn't [just a chef](https://www.mashed.com/469415/the-untold-truth-of-anthony-bourdains-first-wife-nancy-putkoski/) or a travel host; he was a storyteller who understood that life couldn't be boiled down to one simple narrative $S(t)$. His dark views and candid approach allowed him to connect with people and places on a profound level, bringing out stories that were often hidden beneath the surface $h(t)$.\n", "\n", "The shift in his final season, where he seemed to narrow his focus to a single social `cause`, is telling. It wasn't just a change in content; it was a change in approach that seemed out of character for someone who had always embraced the complexity of the world. The \"MeToo\" movement, as important as it is, became a singular lens through which everything was viewed. And in doing so, it felt like he was abandoning the very thing that made his work so compelling: the refusal to simplify or reduce the world to a single `narrative`.\n", "\n", "When you strip away the layers and reduce everything to one cause, you lose the richness that comes from acknowledging the `multivariable` nature of life. It's as if he abandoned the `hierarchical` structure of data and settled for a `flat`, oversimplified model. For someone who thrived on complexity, that must have been a difficult place to be. Many have heaped the blame on the _femme fatal_ Asia Agento. It is difficult to say otherwise especially after watching the 2 hour documentary that chronicles his rise & fall from his 50th decade to 60th.\n", "\n", "
\n", "\n", "```\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Essays\n", "\n", "### 1 `ii-V7-i`\n", "\n", "[Yes](https://www.mashed.com/471794/the-truth-about-anthony-bourdain-and-eric-riperts-friendship/), that sequence does resemble modal interchange, but in a narrative or thematic sense rather than a musical one. Each of these shows represents a shift in tone, focus, and exploration while retaining Anthony Bourdain's signature approach to storytelling and exploration.\n", "\n", "- **\"A Cook's Tour\" (Food)** was primarily centered around food as a lens through which culture and life were explored. It had a relatively straightforward and sometimes playful approach, with Bourdain as the curious chef exploring culinary traditions.\n", "\n", "- **\"No Reservations\" (Travel)** expanded the scope to include more of the travel experience itself. It still focused heavily on food but began to delve deeper into the cultural and social aspects of the places Bourdain visited. The show became more about the journey and the places, with food as a key component rather than the sole focus.\n", "\n", "- **\"Parts Unknown\" (General)** took this evolution further, broadening the scope to include more profound explorations of culture, politics, and the human condition. While food was still important, it became part of a larger narrative about the world and its complexities. Bourdain's role shifted from chef to cultural commentator, and the show's tone often ventured into more serious and reflective territory.\n", "\n", "This progression reflects a kind of \"modulation\" in Bourdain's work, moving from a specific focus (food) to a broader exploration of life and culture. It's a journey of deepening complexity, much like how modal interchange in music can shift the mood or key, creating new emotional landscapes while maintaining a connection to the original theme.\n", "\n", "### 2. Effortless Cadence\n", "\n", "Anthony Bourdain’s career progression—from \"A Cook’s Tour\" (ii) to \"No Reservations\" (V7) to \"Parts Unknown\" (i)—can be likened to an effortless cadence, a smooth and natural resolution that characterizes his journey as a storyteller. Just as a cadence in music brings a phrase to a satisfying close, Bourdain's seamless transition from one phase of his career to the next felt organic and unforced.\n", "\n", "At `44 years old`, a time when many might consider themselves well into the `arc` of their career, Bourdain was just `beginning` to find his stride. The transition from a chef with a single book to a global cultural icon was as smooth as the `glide` from a dominant chord to the tonic in a well-resolved cadence. He didn't just change shows; he evolved the very nature of his storytelling, broadening the scope of his narrative while maintaining the core of who he was—curious, irreverent, and deeply human.\n", "\n", "This \"effortless cadence\" in his life is emblematic of how Bourdain navigated the complexities of fame and personal growth. He never lost the sense of `wonder` that made his work resonate so deeply with audiences worldwide. Even as he faced the harsh realities of his own life, such as finally securing health insurance and opening his first savings account at 44, his narrative voice remained assured, like a `musician` who has mastered their craft and can resolve even the most dissonant chords with grace and ease. In the end, Bourdain’s legacy is one of continuity, marked by a life lived with an intuitive understanding of the world’s rhythms—a cadence that resonates long after the final note has been played.\n", "\n", "### 3. Coming Soon ...\n", "![](../figures/tony.png)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.4" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }