lecture.ipynb

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   "source": [
    "# MathPlot"
   ]
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   "source": [
    "## Agemda\n",
    "\n",
    "* Introduction to MathPlot\n",
    "* Elemets of a Figure\n",
    "* Of Figures and Plots"
   ]
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    "## **Matplotlib**\n",
    "\n",
    "* **What is Matplotlib?**\n",
    "    * **A Powerful Visualization Library:** Matplotlib is a core Python library that allows you to create a wide range of data visualizations, from simple plots to complex graphics.\n",
    "\n",
    "* **Why Use Matplotlib?**\n",
    "    * **Highly Customizable:** Offers flexibility to adjust colors, styles, and layouts,\n",
    "    * **Works Seamlessly with Other Libraries:** Integrates well with data tools like pandas or numpy\n",
    "    * **Industry Standard:** Widely used in data science, research, and engineering, making it a valuable skill in many technical fields."
   ]
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   "source": [
    "<img src=\".\\images\\anatomyofplot.webp\" width=\"700\"/>\n"
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   "source": [
    "### Introduction to Matplotlib\n",
    "\n",
    "What is Matplotlib?\n",
    "\n",
    "Matplotlib is a popular Python library for creating static, interactive, and animated plots and visualizations.\n",
    "It’s widely used for data analysis, making it easy to understand data through visual representation.\n",
    "Why Use Matplotlib?\n",
    "\n",
    "Helps turn complex data into charts, making patterns and trends easier to see.\n",
    "Essential tool in data science, machine learning, and research."
   ]
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   "source": [
    "https://matplotlib.org/"
   ]
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