00_intro.ipynb

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   "source": [
    "# Python for Data Scientist\n",
    "## From data manipulation to machine learning"
   ]
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    "<div style=\"display: flex; justify-content: space-between; \n",
    "            align-items: center;\">\n",
    "    <img src=\"images/me.jpg\" style=\"max-width: 50%\">\n",
    "    <div style=\"text-align: center; vertical-align: middle; width: 100%\">\n",
    "        <br>\n",
    "        <h1>Elia Giacobazzi</h1>\n",
    "        elia.giacobazzi@euler.it<br>\n",
    "        <h5>\n",
    "            Matematico<br>\n",
    "            Libero Professionista<br>\n",
    "            Data Scientist\n",
    "        </h5>\n",
    "    </div>\n",
    "</div>"
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    "<div class=\"gallery\">\n",
    "    <img src=images/clinux-logo.png style=\"max-width: 50%\">\n",
    "    <img src=images/euler-logo.png style=\"max-width: 50%\">\n",
    "</div>"
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   "source": [
    "Ringrazio **Alessandro Grandi** di **Digital Dreamers** per le loro slides"
   ]
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   "source": [
    "# Data Science"
   ]
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   "source": [
    "_Scopo del Data Scientist è quello di organizzare e analizzare grandi quantità di dati_"
   ]
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   "source": [
    "* Big Data\n",
    "* Analytics\n",
    "* Automazione\n",
    "* Machine Learning"
   ]
  },
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   "id": "968d54bc",
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   "source": [
    "### E python cosa c'entra?"
   ]
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   "source": [
    "* [numfocus.org](https://numfocus.org)\n",
    "* [numpy.org](https://numpy.org)\n",
    "* [pandas.pydata.org](https://pandas.pydata.org)\n",
    "* [scipy.org](https://scipy.org)\n",
    "* [scikit-learn.org](https://scikit-learn.org)"
   ]
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   "source": [
    "### Tutto molto bello, ma come si installa questa roba?"
   ]
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   "source": [
    "Tramite `pip`\n",
    "```sh\n",
    "> pip install numpy\n",
    "```"
   ]
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   "source": [
    "Tramite [Anaconda](https://www.anaconda.com/products/distribution)\n",
    "```bash\n",
    "> conda create --name science \n",
    "> conda activate science\n",
    "> conda install numpy\n",
    "\n",
    "```"
   ]
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   "source": [
    "* [Introduzione](/notebooks/00_intro.ipynb)\n",
    "* [Virtual Environments](/notebooks/01_venvs.ipynb)\n",
    "* [NumPy](/notebooks/10_numpy.ipynb)\n",
    "* [MatPlotLib](/notebooks/20_matplotlib.ipynb)\n",
    "* [Pandas](/notebooks/30_pandas.ipynb)\n",
    "* [Scipy](/notebooks/40_scipy.ipynb)"
   ]
  }
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