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" + } + }, "cell_type": "markdown", "metadata": {}, "source": [ "\n", "## Immagini\n", "\n", - "Purtroppo Jupyter non supporta il copia e incolla di immagini, puoi solo inserire dei link alle immagini stesse da mettere nella stessa cartella del notebook oppure in una sottocartella. \n", + "I documenti Markdown classici sono puro testo che dovrebbero essere facilmente modificabili anche in semplici editor di testo: per queste ragioni tipicamente contengono solo link a file delle immagini. Ma i fogli Jupyter sono documenti più strutturati e quindi Jupyter volendo ci consente anche di integrare facilmente immagini nello stesso file del documento, facendo copia e incolla. Vediamo entrambe le modalità. \n", + "\n", + "\n", + "### Includere immagini con link\n", "\n", - "Una volta che la cella viene eseguita, se il percorso al file è corretto apparirà l'immagine. Per indicare il percorso, scrivi punto esclamativo, parentesi quadre aperta-chiusa, e poi tra parentesi tonde il percorso del file (possibilmente usando lo slash `'/'`), per es se l'immagine `notebook_icon.png` sta nella sotto-cartella `img`, scrivi così: \n", + "In questa modalità, bisogna mettere il file dell'immagine nella stessa cartella del notebook oppure in una sottocartella. Per indicare il percorso, scrivi punto esclamativo, parentesi quadre aperta-chiusa, e poi tra parentesi tonde il percorso del file (possibilmente usando lo slash `'/'`), per es. se l'immagine `example.png` sta nella sotto-cartella `img`, scrivi così: \n", "\n", "```\n", "![](img/example.png)\n", "```\n", "\n", - "Eseguendo la cella, apparirà l'immagine:\n", + "Eseguendo la cella, apparirà l'immagine, questo caso:\n", "\n", "![](img/example.png)\n", "\n", - "Nota che puoi usare qualunque formato di immagine (`jpg`, `png`, `bmp`, `svg`, per gli altri prova a vedere se vengono visualizzati).\n" + "Nota che puoi usare qualunque formato di immagine (`jpg`, `png`, `bmp`, `svg`, per gli altri prova a vedere se vengono visualizzati).\n", + "\n", + "\n", + "### Incollare immagini\n", + "\n", + "Alcuni editor tra cui Jupyter consentono di fare copia/incolla di un'immagine. Per esempio, se vai su un sito che contiene un'immagine [come questo tubetto di colla](https://it.softpython.org/_static/img/glue.png), e nel browser fai _click destro->copia immagine_, poi torni in Jupyter e in una cella Markdow fai _click-destro->incolla_, vedrai apparire una scritta del genere: \n", + "\n", + "`![immagine-5.png](attachment:immagine-5.png)`\n", + "\n", + "La parola fondamentale è `attachment:` che ci dice che l'immagine è stata 'integrata' nel foglio Jupyter e _non_ è un link (e quindi _non_ necessita di esistere come file separato). Se esegui la cella, dovresti vedere apparire l'immagine: \n", + "\n", + "\n", + "![immagine-5.png](attachment:immagine-5.png)" ] }, { @@ -306,7 +326,7 @@ "\n", "$\\sum$\n", "\n", - "Con due dollari ai lati `$$\\sum$$` la formula viene centrata:\n", + "Con due dollari ai lati `$$\\sum$$` la formula viene centrata e più grande:\n", "\n", "$$\\sum$$" ] @@ -349,6 +369,7 @@ } ], "metadata": { + "celltoolbar": "Attachments", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", @@ -364,7 +385,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.10" + "version": "3.7.17" }, "toc": { "base_numbering": 1, @@ -375,7 +396,12 @@ "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, - "toc_position": {}, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "256px" + }, "toc_section_display": true, "toc_window_display": true } diff --git a/third-party-licences.txt b/third-party-licences.txt index 37fab8bd..dd5d0dfa 100644 --- a/third-party-licences.txt +++ b/third-party-licences.txt @@ -1,3 +1,10 @@ +Qui tracciamo risorse esterne che abbiamo usato e che non sono esplicitamente menzionate nelle pagine dove si trovano: +- Helmet Roman PNG Icon, Licenza: CC0, presa da: https://www.pngrepo.com/svg/267172/helmet-roman + Usata in: Liste 2, Esercizio Gloria ai Gladiatori https://it.softpython.org/lists/lists2-sol.html#Esercizio---Gloria-ai-Gladiatori! -TODO \ No newline at end of file +- Cow Animals PNG Icon, Licenza: CC0, presa da: https://www.pngrepo.com/svg/176700/cow-animals + Usata in: Liste 2, Esercizio I banditi della ferrovia https://it.softpython.org/lists/lists2-sol.html#Esercizio---I-banditi-della-ferrovia + +- Glue, Licenza: CC0, presa da: https://openclipart.org/detail/25274/glue + Usata in: https://it.softpython.org/project/markdown.html#Immagini