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forked from tdwojak/Python2017
This commit is contained in:
s45160 2017-12-03 13:36:48 +01:00
commit b220d146da
8 changed files with 898 additions and 35 deletions

12
.gitignore vendored Normal file
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@ -0,0 +1,12 @@
# wiki files
Python2017.wiki/*
# Jupyter Files
*/.ipynb_checkpoints/*
# Rope files
.ropeproject
*/.ropeproject
# Labs temp files
labs03/haslo2.txt

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@ -49,22 +49,34 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 9,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "slide" "slide_type": "slide"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2\n",
"[1, 2, 3, 1, 2, 3]\n",
"123\n"
]
}
],
"source": [ "source": [
"def dwojak(x): x *= 2\n", "def dwojak(x): \n",
" x *= 2\n",
" return x\n",
" \n", " \n",
"l = [1, 2, 3]\n", "l = [1, 2, 3]\n",
"s = \"123\"\n", "s = \"123\"\n",
"\n", "\n",
"dwojak(l)\n", "dwojak(l)\n",
"dwojak(s)\n", "dwojak(s)\n",
"\n", "print(dwojak(1))\n",
"print(l)\n", "print(l)\n",
"print(s)" "print(s)"
] ]
@ -104,16 +116,28 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 11,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "slide" "slide_type": "slide"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 2, 3, 1, 2, 3]\n",
"F: [1, 2, 3, 1, 2, 3]\n",
"[1, 2, 3]\n"
]
}
],
"source": [ "source": [
"def dwojak1(x): x *= 2\n", "def dwojak1(x): x *= 2\n",
"def dwojak2(x): x = x * 2\n", "def dwojak2(x): \n",
" x = x * 2\n",
" print(\"F:\", x)\n",
"\n", "\n",
"l = [1,2, 3]\n", "l = [1,2, 3]\n",
"dwojak1(l)\n", "dwojak1(l)\n",
@ -126,29 +150,47 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 17,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "slide" "slide_type": "slide"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 2, 3]\n",
"[1, 2, 3, 4]\n"
]
}
],
"source": [ "source": [
"l = [1, 2, 3]\n", "l = [1, 2, 3]\n",
"e = l\n", "e = l[:]\n",
"e.append(4)\n", "e.append(4)\n",
"print(l)" "print(l)\n",
"print(e)"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 19,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "slide" "slide_type": "slide"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[1], [1], [1]]\n"
]
}
],
"source": [ "source": [
"e = []\n", "e = []\n",
"f = [e for i in range(3)]\n", "f = [e for i in range(3)]\n",
@ -172,18 +214,39 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 25,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "slide" "slide_type": "slide"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1, 'napis', [0])\n",
"3\n"
]
},
{
"ename": "TypeError",
"evalue": "unhashable type: 'list'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-25-2bd2fa17fbf5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
]
}
],
"source": [ "source": [
"t = (1, \"napis\", None)\n", "t = (1, \"napis\", [])\n",
"elem = t[0]\n", "t[-1].append(0)\n",
"print(t)\n", "print(t)\n",
"print(len(t))" "print(len(t))\n",
"print({t: None})"
] ]
}, },
{ {
@ -199,19 +262,29 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 36,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "fragment" "slide_type": "fragment"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"15\n",
"a == 1\n",
"b == (3, 4)\n"
]
}
],
"source": [ "source": [
"def suma(*args):\n", "def suma(*args):\n",
" return sum(args)\n", " return sum(args)\n",
"print(suma(1,2,3,4,5))\n", "print(suma(1,2,3,4,5))\n",
"\n", "\n",
"def greet_me(**kwargs):\n", "def greet_me(z=None,**kwargs):\n",
" if kwargs is not None:\n", " if kwargs is not None:\n",
" for key, value in kwargs.items():\n", " for key, value in kwargs.items():\n",
" print(\"%s == %s\" %(key,value))\n", " print(\"%s == %s\" %(key,value))\n",
@ -231,16 +304,32 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 38,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "fragment" "slide_type": "fragment"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"97\n",
"a\n",
"98\n",
"b\n",
"99\n",
"c\n",
"100\n",
"d\n"
]
}
],
"source": [ "source": [
"def alfaRange(x, y):\n", "def alfaRange(x, y):\n",
" for i in range(ord(x), ord(y)):\n", " for i in range(ord(x), ord(y)):\n",
" print(i)\n",
" yield chr(i)\n", " yield chr(i)\n",
"\n", "\n",
"for c in alfaRange('a', 'e'):\n", "for c in alfaRange('a', 'e'):\n",
@ -260,40 +349,74 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 45,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "fragment" "slide_type": "fragment"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"W Paryżu najlepsze kasztany są na placu Pigalle\n",
"Zuzanna lubi je tylko jesienią.\n",
"\n",
">>\n"
]
}
],
"source": [ "source": [
"plik = open(\"haslo.txt\", 'r')\n", "plik = open(\"haslo.txt\", 'r')\n",
"for linia in plik.readlines():\n", "for linia in plik.readlines():\n",
" print(linia.strip())\n", " print(linia.strip())\n",
"print(plik.read())\n", "print(plik.read())\n",
"print(\">>\")\n",
"plik.close()" "plik.close()"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 47,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "slide" "slide_type": "slide"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"W Paryżu najlepsze kasztany są na placu Pigalle\n",
"\n",
"Zuzanna lubi je tylko jesienią.\n",
"\n"
]
},
{
"ename": "ValueError",
"evalue": "I/O operation on closed file.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-47-f06513c1bbec>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlinia\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadlines\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[1;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlinia\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\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;31mValueError\u001b[0m: I/O operation on closed file."
]
}
],
"source": [ "source": [
"with open(\"haslo.txt\", 'r') as plik:\n", "with open(\"haslo.txt\", 'r') as plik:\n",
" for linia in plik.readlines():\n", " for linia in plik.readlines():\n",
" print(linia)\n", " print(linia)\n",
"# print(plik.read())" "print(plik.read())"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 48,
"metadata": { "metadata": {
"collapsed": true, "collapsed": true,
"slideshow": { "slideshow": {
@ -334,13 +457,22 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 49,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "fragment" "slide_type": "fragment"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"posix\n",
"Nazwa uzytkownika: tomaszd\n"
]
}
],
"source": [ "source": [
"import os\n", "import os\n",
"print(os.name)\n", "print(os.name)\n",
@ -351,13 +483,31 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 50,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "slide" "slide_type": "slide"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Counter({'o': 4, 'n': 4, 'a': 4, 'k': 3, 't': 3, 'y': 2, 'i': 2, 'c': 2, 'z': 2, 's': 1, 'p': 1, 'l': 1, 'ń': 1, 'w': 1, 'e': 1})\n"
]
},
{
"data": {
"text/plain": [
"array([[ 1., 3., 4., 5.]], dtype=float32)"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"from collections import *\n", "from collections import *\n",
"print(Counter(\"konstantynopolitańczykowianeczka\"))\n", "print(Counter(\"konstantynopolitańczykowianeczka\"))\n",
@ -394,13 +544,23 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 51,
"metadata": { "metadata": {
"slideshow": { "slideshow": {
"slide_type": "fragment" "slide_type": "fragment"
} }
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"What's your name?\n",
"Tomasz\n",
"Welcome home, Tomasz.\n"
]
}
],
"source": [ "source": [
"name = input(\"What's your name?\\n\")\n", "name = input(\"What's your name?\\n\")\n",
"print(\"Welcome home, {}.\".format(name))" "print(\"Welcome home, {}.\".format(name))"

2
labs03/haslo.txt Normal file
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@ -0,0 +1,2 @@
W Paryżu najlepsze kasztany są na placu Pigalle
Zuzanna lubi je tylko jesienią.

662
labs04/Klasy.ipynb Normal file
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@ -0,0 +1,662 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Wprowadzenie do Pythona: Klasy\n",
"\n",
"## Tomasz Dwojak\n",
"\n",
"### 3 grudnia 2017"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Plan na dziś:\n",
" * klasy,\n",
" * wyjątki."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Python jest językiem obiektowym \n",
" * Wszystko jest obiektem: liczby, napisy, None, funkcje, moduły (biblioteki)..."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"Python da się lubić !\n"
]
}
],
"source": [
"print((2017).imag)\n",
"print(' '.join(['Python', 'da', 'się', 'lubić', '!']))"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Konstrukcja"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class '__main__.NajprostszaKlasa'>\n"
]
}
],
"source": [
"class NajprostszaKlasa:\n",
" pass\n",
"\n",
"nasza_klasa = NajprostszaKlasa() # Uwaga na nawiasy na końcu!\n",
"print(type(nasza_klasa))"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## (Pseudo) Konstruktor \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2\n"
]
}
],
"source": [
"class Punkt:\n",
" def __init__(self, x, y):\n",
" self.x = x\n",
" self.y = y\n",
"\n",
"punkt = Punkt(2, 3)\n",
"print(punkt.x)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"class Figura:\n",
" def __init__(self, vertexes):\n",
" self.vertexes = vertexes\n",
" \n",
" def liczba_wierzcholkow(self):\n",
" return len(self.vertexes)\n",
" \n",
" def dodaj_wierzcholek(self, x):\n",
" self.vertexes.append(x)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"class Prostokat(Figura):\n",
" def __init__(self, vertexes):\n",
" super().__init__(vertexes)\n",
" \n",
" def czy_jestem_kwadratem(self):\n",
" pass\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"class Figura:\n",
" def __init__(self, vertexes):\n",
" self.vertexes = vertexes\n",
" \n",
" def liczba_wierzcholkow(self):\n",
" return len(self.vertexes)\n",
" \n",
" def __len__(self):\n",
" return self.liczba_wierzcholkow()\n",
" \n",
"len(Figura([Punkt(2,3), Punkt(3,4), Punkt(0, 0)]))"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Dobre praktyki: komentarze"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [],
"source": [
"class Punkt(object):\n",
" \"\"\"Klasa reprezentująca punkt w 2D.\"\"\"\n",
" def __init__(self, x, y):\n",
" \"\"\"opis argumentów x i y.\"\"\"\n",
" self.x = x\n",
" self.y = y"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Help on class Punkt in module __main__:\n",
"\n",
"class Punkt(builtins.object)\n",
" | Klasa reprezentująca punkt w 2D.\n",
" | \n",
" | Methods defined here:\n",
" | \n",
" | __init__(self, x, y)\n",
" | opis argumentów x i y.\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Data descriptors defined here:\n",
" | \n",
" | __dict__\n",
" | dictionary for instance variables (if defined)\n",
" | \n",
" | __weakref__\n",
" | list of weak references to the object (if defined)\n",
"\n"
]
}
],
"source": [
"help(Punkt)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Enkapsulacja: publiczne czy prywatne?\n",
" * Prywatne zaczynają się od dwóch podkreśleń: ``__``, np. ``def __policz(self)``\n",
" * chronione tylko w konwencji, zaczynają się od '\\_', np. ``def _parse(self)``\n",
" * publiczne jest wszystko co nie zaczyna się od '\\_'."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"ename": "AttributeError",
"evalue": "'Parser' object has no attribute '__parse'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-6-80ee186598d3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mParser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__parse\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: 'Parser' object has no attribute '__parse'"
]
}
],
"source": [
"class Parser(object):\n",
" def __parse(self): pass\n",
" def _get(self): pass\n",
"parser = Parser()\n",
"parser._get()\n",
"parser.__parse()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Iteratory"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<__main__.Punkt object at 0x7f728015b358>\n",
"<__main__.Punkt object at 0x7f728015b4a8>\n",
"<__main__.Punkt object at 0x7f728015b438>\n"
]
}
],
"source": [
"class Figura:\n",
" def __init__(self, vertexes):\n",
" self.vertexes = vertexes \n",
" \n",
" def __iter__(self):\n",
" self.index = -1\n",
" return self\n",
" \n",
" def __next__(self):\n",
" self.index += 1\n",
" if self.index == len(self.vertexes):\n",
" raise StopIteration\n",
" return self.vertexes[self.index]\n",
" \n",
"for v in Figura([Punkt(2,3), Punkt(3,4), Punkt(0, 0)]):\n",
" print(v)"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Atrybuty i metody statyczne"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"0\n"
]
}
],
"source": [
"class Klasa:\n",
" atrybut = 0\n",
"\n",
"klasa = Klasa()\n",
"print(Klasa.atrybut)\n",
"print(klasa.atrybut)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Jestem statyczna!\n"
]
}
],
"source": [
"class Klasa:\n",
" def __init__(self):\n",
" self.t = 0\n",
" def metoda():\n",
" print(\"Jestem statyczna!\")\n",
"\n",
"Klasa.metoda()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Wyjątki"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"ename": "FileNotFoundError",
"evalue": "[Errno 2] No such file or directory: 'nieistniejący_plik.txt'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-20-41928d542bef>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"nieistniejący_plik.txt\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplik\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\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[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'nieistniejący_plik.txt'"
]
}
],
"source": [
"with open(\"nieistniejący_plik.txt\") as plik:\n",
" content = plik.read()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"try:\n",
" with open(\"nieistniejący_plik.txt\") as plik:\n",
" content = plik.read()\n",
"except FileNotFoundError:\n",
" contenct = \"\""
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Warning [Errno 2] No such file or directory: 'nieistniejący_plik.txt'\n"
]
}
],
"source": [
"try:\n",
" with open(\"nieistniejący_plik.txt\") as plik:\n",
" content = plik.read()\n",
"except FileNotFoundError as e:\n",
" print(\"Warning {}\".format(e))\n",
" contenct = \"\""
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Warning [Errno 2] No such file or directory: 'nieistniejący_plik.txt'\n"
]
}
],
"source": [
"try:\n",
" with open(\"nieistniejący_plik.txt\") as plik:\n",
" content = plik.read()\n",
"except Exception as e:\n",
" print(\"Warning {}\".format(e))\n",
" contenct = \"\""
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"try:\n",
" with open(\"nieistniejący_plik.txt\") as plik:\n",
" content = plik.read()\n",
"except:\n",
" contenct = \"\""
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"class Figura:\n",
" def __init__(self, vertexes):\n",
" if len(vertexes) == 0:\n",
" raise Exception(\"Empty list of vertexes\")\n",
" self.vertexes = vertexes"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"class MyError(Exception):\n",
" def __init__(self, text):\n",
" self.text = text\n",
" def __str__(self):\n",
" return self.text"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"ename": "MyError",
"evalue": "Coś poszło nie tak!",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mMyError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-36-4fb306b42ebc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Coś poszło nie tak!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mMyError\u001b[0m: Coś poszło nie tak!"
]
}
],
"source": [
"raise MyError(\"Coś poszło nie tak!\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Slideshow",
"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": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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**ćwiczenie 1**
Napisz funckję ``is_numeric``, która sprawdzi, czy każdy element z przekazanej listy jest typu int lub float. Wykorzystaj funcję ``isinstance()`` (https://docs.python.org/2/library/functions.html#isinstance).
**ćwiczenie 2**
Napisz prostą hierarchię klas:
* Klasa bazowa ``Employee``, która będzie zawierać informacje o imieniu i nazwisku pracownika. Ponadto każdy pracownik otrzyma numer ``id``, który będzie unikatowy. Wykorzystaj do tego atrybut statyczny. Napisz metodę ``get_id``, która zwraca identyfikator pracownika.
* Klasy pochodna: ``Recruiter``, która ma dodatkową mtodę ``recruit``, która jako parament przyjmuje obiekt ``Employee`` i zapisuje jego ``id`` w liście ``self.recruited``.
* Klasa pochodna ``Programmer``. Klasa ``Programmer`` ma przyjąć w konstruktorze podstawowe informacje (imię i nazwisko) oraz obiekt rekturera. Ponadto stwórz atrybut ``recruiter``, który będzie przechowywać ``id`` rekrutera.
**ćwiczenie 3 (zadanie domowe) **
Stwórz klasę ``Point``, która będzie reprezentować punkt w przestrzeni wielowymiarowej:
* Konstruktor ma przyjąc tylko 1 parametr: listę współrzednych. Wykorzystaj funkcję z pierwszego zadania, żeby sprawdzić, czy lista zawiera wyłącznie liczby.
* Napisz metodę add, która dida dwa punkty po współrzędnych i zwróci obiekt typu ``Punkt``. Zaimplementuj własny wyjątek ``DimensionError``, który zostaje wyrzucony, jeżeli dodawany punkt ma inny wymiar.
* Napisz metodę ``to\_string``, która zwróci łancuch znakowy, który w czytelny sposób przedstawi punkt.
* Napisz metodę __len__, która zwróci liczbę współrzędnych punktu. Zobacz, czy możesz teraz wywołać funkcję len na obiekcie typy punkt.
* Napisz metodę __str__, która bedzie działać dokładnie tak samo jak metoda ``to_string``. Wyświetl obiekt typy Point korzystając z funkcji print.

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#!/usr/bin/env python2
# -*- coding: utf-8 -*-

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#!/usr/bin/env python2
# -*- coding: utf-8 -*-

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#!/usr/bin/env python2
# -*- coding: utf-8 -*-