e00-numpy-wprowadzenie-lekcja.ipynb

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   "source": [
    "# Numpy: wprowadzenie - lekcja"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ekosystem narzędzi SciPy\n",
    "\n",
    "![SciPy Ecosystem](scipy.png)\n",
    "\n",
    "Ekosystem narzędzi SciPy i bibliotek wykorzystywanych w uczeniu maszynowym i analizie danych.\n",
    "Źródło: Jack Vanderplass, 2017"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NumPy\n",
    "\n",
    "- zastosowanie\n",
    "- zalety\n",
    "- wady\n",
    "- na co zwracać uwagę\n",
    "\n",
    "![Sizeof](sizeof-int.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Przykład użycia\n",
    "\n",
    "![Use Case](usecase-car.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Instalacja\n",
    "\n",
    "- instalacja\n",
    "- sprawdzanie wersji\n",
    "- aktualizacja\n",
    "- aktualizacja i Anaconda"
   ]
  },
  {
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   "execution_count": 6,
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     "text": [
      "Requirement already satisfied: numpy in /Users/matt/.virtualenvs/python-w-analizie-danych/lib/python3.8/site-packages (1.19.1)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.19.1'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "np.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install --upgrade numpy"
   ]
  }
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