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Podstawy 2.ipynb
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630
Podstawy 2.ipynb
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{
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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": 9,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2\n",
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"[1, 2, 3, 1, 2, 3]\n",
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"123\n"
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]
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}
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],
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"source": [
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"def dwojak(x): \n",
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" x *= 2\n",
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" return x\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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"print(dwojak(1))\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": 11,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1, 2, 3, 1, 2, 3]\n",
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"F: [1, 2, 3, 1, 2, 3]\n",
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"[1, 2, 3]\n"
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]
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}
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],
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"source": [
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"def dwojak1(x): x *= 2\n",
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"def dwojak2(x): \n",
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" x = x * 2\n",
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" print(\"F:\", x)\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": 17,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1, 2, 3]\n",
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"[1, 2, 3, 4]\n"
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]
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}
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],
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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)\n",
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"print(e)"
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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": 19,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[[1], [1], [1]]\n"
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]
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}
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],
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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": 25,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"(1, 'napis', [0])\n",
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"3\n"
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]
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},
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{
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"ename": "TypeError",
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"evalue": "unhashable type: 'list'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
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"\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",
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"\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
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]
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}
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],
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"source": [
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"t = (1, \"napis\", [])\n",
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"t[-1].append(0)\n",
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"print(t)\n",
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"print(len(t))\n",
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"print({t: None})"
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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": 36,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"15\n",
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"a == 1\n",
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"b == (3, 4)\n"
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]
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}
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],
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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(z=None,**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": 38,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"97\n",
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"a\n",
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"98\n",
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"b\n",
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"99\n",
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"c\n",
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"100\n",
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"d\n"
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]
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}
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],
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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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" print(i)\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": 45,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"W Paryżu najlepsze kasztany są na placu Pigalle\n",
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"Zuzanna lubi je tylko jesienią.\n",
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"\n",
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">>\n"
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]
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}
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],
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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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"print(\">>\")\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": 47,
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
|
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"W Paryżu najlepsze kasztany są na placu Pigalle\n",
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"\n",
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"Zuzanna lubi je tylko jesienią.\n",
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"\n"
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]
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},
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{
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"ename": "ValueError",
|
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"evalue": "I/O operation on closed file.",
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"output_type": "error",
|
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
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"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
|
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"\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": [
|
||||
"with open(\"haslo.txt\", 'r') as plik:\n",
|
||||
" for linia in plik.readlines():\n",
|
||||
" print(linia)\n",
|
||||
"print(plik.read())"
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]
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||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
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||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"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": [
|
||||
"with open(\"haslo2.txt\", 'w') as plik:\n",
|
||||
" for word in ('corect', 'horse', 'battery', 'staple'):\n",
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||||
" plik.write(word)\n",
|
||||
" plik.write('\\n')\n",
|
||||
"with open(\"haslo2.txt\", 'w+') as plik:\n",
|
||||
" plik.writelines([' '.join(('corect', 'horse', 'battery', 'staple'))])"
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||||
]
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||||
},
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||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Korzystanie z modułów"
|
||||
]
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||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Importowanie"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 49,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"posix\n",
|
||||
"Nazwa uzytkownika: tomaszd\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"print(os.name)\n",
|
||||
"\n",
|
||||
"from os import getenv\n",
|
||||
"print('Nazwa uzytkownika: {}'.format(getenv(\"USER\")))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 50,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"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": [
|
||||
"from collections import *\n",
|
||||
"print(Counter(\"konstantynopolitańczykowianeczka\"))\n",
|
||||
"\n",
|
||||
"import numpy as np\n",
|
||||
"np.array([[1, 3, 4, 5]], dtype='float32')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Instalacja\n",
|
||||
"\n",
|
||||
" * lokalnie (per użytkownik) lub globalnie\n",
|
||||
" * pyCharm lub linia komend, np. ``pip install --user flask`` lub ``python -m pip install --user flask``"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Wczytywanie z klawiatury"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 51,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"What's your name?\n",
|
||||
"Tomasz\n",
|
||||
"Welcome home, Tomasz.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"name = input(\"What's your name?\\n\")\n",
|
||||
"print(\"Welcome home, {}.\".format(name))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"liczby = eval(input(\"Podaj liczby\"))\n",
|
||||
"print(sum(liczby))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Co ominąłem?\n",
|
||||
"\n",
|
||||
" * klasy (jutro)\n",
|
||||
" * podział programu na pliki (jutro)\n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"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
|
||||
}
|
||||
39
README.md
39
README.md
@ -1,3 +1,36 @@
|
||||
Link do arkusza z obecnością:
|
||||
|
||||
https://docs.google.com/spreadsheets/d/1TxJSYM-voKJ7siCgtkCS77pSF0l7I-OtzfCrQdq9RtE/edit?usp=sharing
|
||||
# Laboratoria 3
|
||||
|
||||
## Zadania
|
||||
|
||||
**ćwiczenie 0**
|
||||
Sklonuj repozytorium ``https://github.com/realpython/python-scripts``, które różne, przydatne skrypty. Przejrzyj je i zobacz na ile jesteś w stanie zrozumieć co i jak robią. Uruchom kilka z nich, np. ``27_send_sms.py``.
|
||||
|
||||
**ćwiczenie 1**
|
||||
Każdy obiekt w Pythonie na wbudowaną funkcję ``id()``, która zwraca liczbę, która jest unikatowa i stała dla obiektu. Pozwala ona w prosty sposób sprawdzić, który obiekt jest *mutable*a, który *immutable*: jeżeli po wykonaniu operacji, zwracana liczba jest stała, to oznacza, że obiekt jest *mutable*. Sprawdź zachowanie funkcji na obiektach typy:
|
||||
* lista,
|
||||
* napis (string),
|
||||
* liczba zmiennoprzecinkowa.
|
||||
|
||||
**ćwiczenie 2**
|
||||
Napisz generator, który będzie zwracać ``n`` kolejnych liczb ciągu Fibonacciego (``F(0)=1, F(1)=1, FN=F(N-1) + F(N-2)``).
|
||||
|
||||
**ćwiczenie 3**
|
||||
Strona ``https://api.fixer.io/latest`` udostępnia kursy różnych walut w stosunku do euro. Napisz skrypt, który:
|
||||
* pobierze zawartość JSONa. Wykorzystaj bibliotekę ``requests`` (http://docs.python-requests.org/en/master/).
|
||||
* korzystając z biblioteki ``json`` przekształć go do obiketu typu JSON.
|
||||
* Wyświetl wartość kursu EUR do PLN.
|
||||
|
||||
**ćwiczenie 4**
|
||||
Zainstaluj bibliotekę ``weather-api`` (https://pypi.python.org/pypi/weather-api). Korzystając z niej:
|
||||
* Wypisz informacje o aktualnej pogodzie.
|
||||
* Napisz funkcję, która zamieni stopnie ``F`` na ``C``.
|
||||
* Korzystając z prognozy, znajdź dzień, w którym będzie najzimniej. Wypisz nazwę tygodnia (w języku polskim) i temperaturę w C.
|
||||
|
||||
**ćwiczenie 5**
|
||||
Katalog scores zawiera 64 pliki tekstowe, które posiadają informacje o wysokości miary ``BLEU`` na różnych etapach trenowania modelu. Nazwa każdego pliku na postać ``model.iterXXXXXXX.npz.bleu``, gdzie ``XXXXXXX``, to liczba iteracji.Zawartość każdego pliku jest podobna i ma następującą formę: *BLEU = YY.YY, 44.4/18.5/9.3/5.0 (BP=1.000, ratio=1.072, hyp_len=45976, ref_len=42903)*, gdzie ``YY.YY`` to wartość miary ``BLEU``. Znajdź plik, który zawiera najwyższą wartość miary ``BLEU``.
|
||||
* Wykorzystaj bibliotekę ``glob`` (https://docs.python.org/2/library/glob.html)
|
||||
* Wyświetl tylko pełną nazwe pliku (wraz z ścieżką).
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
2
haslo.txt
Normal file
2
haslo.txt
Normal file
@ -0,0 +1,2 @@
|
||||
W Paryżu najlepsze kasztany są na placu Pigalle
|
||||
Zuzanna lubi je tylko jesienią.
|
||||
1
model.iter10000.npz.bleu
Normal file
1
model.iter10000.npz.bleu
Normal file
@ -0,0 +1 @@
|
||||
BLEU = 2.02, 17.1/3.6/1.0/0.3 (BP=1.000, ratio=1.872, hyp_len=80326, ref_len=42903)
|
||||
1
model.iter100000.npz.bleu
Normal file
1
model.iter100000.npz.bleu
Normal file
@ -0,0 +1 @@
|
||||
BLEU = 13.99, 44.4/18.5/9.3/5.0 (BP=1.000, ratio=1.072, hyp_len=45976, ref_len=42903)
|
||||
Loading…
Reference in New Issue
Block a user