Moduły 2 i 3 - szkielet
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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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"source": [
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"### Przygotowanie innowacyjnych materiałów szkoleniowych i dokumentacji wewnętrznych w obszarze IT\n",
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"# 2. Tworzenie materiałów szkoleniowych w Jupyter Notebook - interaktywne wykresy i prezentacje multimedialne"
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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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"source": [
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"## 2.1. Umieszczanie wzorów matematycznych"
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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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"source": [
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"## 2.2. Tworzenie wykresów"
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]
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},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Tworzenie statycznych wykresów"
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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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"source": [
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"### Tworzenie interaktywnych wykresów"
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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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"source": [
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"## 2.3. Wyświetlanie materiałów Jupyter Notebook w formie prezentacji multimedialnej"
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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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"source": [
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"Materiały przygotowane w formacie `.ipynb` można wyświetlać w formie prezentacji multimedialnej.\n",
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"\n",
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"Jest to możliwe dzięki narzędziu [**RISE**](https://rise.readthedocs.io).\n",
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"\n",
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"RISE (*Reveal.js Ipython Slideshow Extension*) jest rozszerzeniem do Jupytera umożliwiającym wyświetlanie notatników w trybie prezentacji w oparciu o framework [**Reveal.js**](https://revealjs.com/)."
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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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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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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": "3.8.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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42666
3. Jupyter - przykład materiałów dydaktycznych.ipynb
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42666
3. Jupyter - przykład materiałów dydaktycznych.ipynb
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data01_test.csv
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data01_test.csv
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5.7292,0.47953
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5.1884,0.20421
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6.3557,0.67861
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9.7687,7.5435
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6.5159,5.3436
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8.5172,4.2415
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9.1802,6.7981
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6.002,0.92695
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5.5204,0.152
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5.0594,2.8214
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5.7077,1.8451
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7.6366,4.2959
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5.8707,7.2029
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5.3054,1.9869
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8.2934,0.14454
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13.394,9.0551
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5.4369,0.61705
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data01_train.csv
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data01_train.csv
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6.1101,17.592
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5.5277,9.1302
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8.5186,13.662
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7.0032,11.854
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5.8598,6.8233
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8.3829,11.886
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7.4764,4.3483
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8.5781,12
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6.4862,6.5987
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5.0546,3.8166
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5.7107,3.2522
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14.164,15.505
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5.734,3.1551
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8.4084,7.2258
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5.6407,0.71618
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5.3794,3.5129
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6.3654,5.3048
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5.1301,0.56077
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6.4296,3.6518
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7.0708,5.3893
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6.1891,3.1386
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20.27,21.767
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5.4901,4.263
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6.3261,5.1875
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5.5649,3.0825
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18.945,22.638
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12.828,13.501
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10.957,7.0467
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13.176,14.692
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22.203,24.147
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5.2524,-1.22
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6.5894,5.9966
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9.2482,12.134
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5.8918,1.8495
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8.2111,6.5426
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7.9334,4.5623
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8.0959,4.1164
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5.6063,3.3928
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12.836,10.117
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6.3534,5.4974
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5.4069,0.55657
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6.8825,3.9115
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11.708,5.3854
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5.7737,2.4406
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7.8247,6.7318
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7.0931,1.0463
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5.0702,5.1337
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5.8014,1.844
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11.7,8.0043
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5.5416,1.0179
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7.5402,6.7504
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5.3077,1.8396
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7.4239,4.2885
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7.6031,4.9981
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6.3328,1.4233
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6.3589,-1.4211
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6.2742,2.4756
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9.3102,3.9624
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9.4536,5.4141
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8.8254,5.1694
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5.1793,-0.74279
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21.279,17.929
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14.908,12.054
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18.959,17.054
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7.2182,4.8852
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8.2951,5.7442
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10.236,7.7754
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5.4994,1.0173
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20.341,20.992
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10.136,6.6799
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7.3345,4.0259
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6.0062,1.2784
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7.2259,3.3411
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5.0269,-2.6807
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6.5479,0.29678
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7.5386,3.8845
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5.0365,5.7014
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10.274,6.7526
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5.1077,2.0576
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