forked from tdwojak/Python2017
471 lines
8.4 KiB
Plaintext
471 lines
8.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# Python: podstaw ciąg dalszy\n",
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"\n",
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"## Tomasz Dwojak\n",
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"\n",
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"### 2 grudnia 2017"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Co już znamy?\n",
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" * podstawowe typy danych i operacje na nich\n",
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" * Instrukcje sterujące: ``if``, ``for``\n",
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" * pisanie funkcji\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"source": [
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"## Co na dziś?\n",
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"\n",
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" * ``tuple`` i ``set``,\n",
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" * operacje na plikach,\n",
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" * coś więcej o funkcjach\n",
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" * korzystanie z bibliotek\n",
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" * przegląd najważniejszych bibliotek"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"def dwojak(x): x *= 2\n",
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" \n",
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"l = [1, 2, 3]\n",
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"s = \"123\"\n",
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"\n",
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"dwojak(l)\n",
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"dwojak(s)\n",
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"\n",
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"print(l)\n",
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"print(s)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Mutable i Immutable\n",
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"\n",
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"### Mutable\n",
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" * listy,\n",
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" * słowniki,\n",
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" * sety,\n",
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" * własnoręcznie zdefiniowane klasy.\n",
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" \n",
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"### Immutable\n",
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" * liczby: inty i floaty,\n",
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" * napisy,\n",
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" * tuple."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Nieoczywistości"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"def dwojak1(x): x *= 2\n",
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"def dwojak2(x): x = x * 2\n",
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"\n",
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"l = [1,2, 3]\n",
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"dwojak1(l)\n",
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"print(l)\n",
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"\n",
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"l = [1,2, 3]\n",
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"dwojak2(l)\n",
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"print(l)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"l = [1, 2, 3]\n",
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"e = l\n",
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"e.append(4)\n",
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"print(l)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"e = []\n",
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"f = [e for i in range(3)]\n",
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"f[0].append(1)\n",
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"print(f)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## To może ``tuple``?\n",
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" * stały rozmiar,\n",
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" * immutable,\n",
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" * mogą być kluczami w słownikach"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"t = (1, \"napis\", None)\n",
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"elem = t[0]\n",
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"print(t)\n",
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"print(len(t))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Funkcje cz. 2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"def suma(*args):\n",
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" return sum(args)\n",
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"print(suma(1,2,3,4,5))\n",
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"\n",
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"def greet_me(**kwargs):\n",
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" if kwargs is not None:\n",
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" for key, value in kwargs.items():\n",
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" print(\"%s == %s\" %(key,value))\n",
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"greet_me(a=1, b=(3,4))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Generatory"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"def alfaRange(x, y):\n",
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" for i in range(ord(x), ord(y)):\n",
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" yield chr(i)\n",
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"\n",
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"for c in alfaRange('a', 'e'):\n",
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" print(c)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Operacje na plikach"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"plik = open(\"haslo.txt\", 'r')\n",
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"for linia in plik.readlines():\n",
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" print(linia.strip())\n",
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"print(plik.read())\n",
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"plik.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"with open(\"haslo.txt\", 'r') as plik:\n",
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" for linia in plik.readlines():\n",
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" print(linia)\n",
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"# print(plik.read())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true,
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"with open(\"haslo2.txt\", 'w') as plik:\n",
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" for word in ('corect', 'horse', 'battery', 'staple'):\n",
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" plik.write(word)\n",
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" plik.write('\\n')\n",
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"with open(\"haslo2.txt\", 'w+') as plik:\n",
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" plik.writelines([' '.join(('corect', 'horse', 'battery', 'staple'))])"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# Korzystanie z modułów"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Importowanie"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"import os\n",
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"print(os.name)\n",
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"\n",
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"from os import getenv\n",
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"print('Nazwa uzytkownika: {}'.format(getenv(\"USER\")))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"from collections import *\n",
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"print(Counter(\"konstantynopolitańczykowianeczka\"))\n",
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"\n",
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"import numpy as np\n",
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"np.array([[1, 3, 4, 5]], dtype='float32')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true,
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Instalacja\n",
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"\n",
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" * lokalnie (per użytkownik) lub globalnie\n",
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" * pyCharm lub linia komend, np. ``pip install --user flask`` lub ``python -m pip install --user flask``"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Wczytywanie z klawiatury"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"name = input(\"What's your name?\\n\")\n",
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"print(\"Welcome home, {}.\".format(name))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"liczby = eval(input(\"Podaj liczby\"))\n",
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"print(sum(liczby))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Co ominąłem?\n",
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"\n",
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" * klasy (jutro)\n",
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" * podział programu na pliki (jutro)\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"celltoolbar": "Slideshow",
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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