<p align="center">
<img width = "300" src="https://github.com/jeffjennings/memoria/blob/main/logo.jpg?raw=true"/>
</p>
<p align="center">
A simple GUI to generate flashcards for memorizing vocabulary, grammar and phrases of a foreign language.
</p>
<p align="center">
<!-- current release -->
<a href="https://github.com/jeffjennings/memoria/releases">
<img src="https://img.shields.io/github/release/jeffjennings/memoria/all.svg">
</a>
<!-- current version on pypi -->
<a href="https://pypi.python.org/pypi/memoria-gui">
<img src="https://img.shields.io/pypi/v/memoria-gui.svg">
</p>
Install
-------
`pip install memoria-gui`
Using _memoria_
---------------
`python gui.py` from the terminal produces a GUI with which you choose:
- a book to draw entries from,
- which chapters in the book to draw from,
- which type of entry to draw (vocabulary, grammar or phrases), and
- in which language to display the entries on the flashcards (English or the foreign language).
Grids of flashcards are then generated, spanning all the entries of the chosen type from the chosen source, with the order randomized. Clicking on a flashcard shows its English/foreign language counterpart (or in the case of grammar, the relevant forms).
_memoria_ is currently tailored to Italian, but it's easy to drop in another language (it might eventually support Ancient Greek and Latin) - just add new dictionaries with the English and foreign language counterparts.
Using _memoria_ for Italian
---------------------------
For Italian specifically:
- Clicking on a vocabulary flashcard a second time opens the [WordReference](https://www.wordreference.com/iten/) website with a search for the word to obtain its dictionary entry.
- Clicking on a verb flashcard a second time opens the [Virgilio](https://sapere.virgilio.it/parole/coniuga-verbi/) website with a search for the verb to obtain its conjugations in all tenses.
- Clicking on other grammar or phrase flashcards a second time opens google translate with the Italian version of the entry, so that you can hear it spoken by clicking on the speaker icon there.
- If you're interested in learning Italian, these are the books I'm using (and the source of flashcard entries in the code). Together I think they should provide a good teaching of [CEFR levels](https://www.coe.int/en/web/common-european-framework-reference-languages/table-1-cefr-3.3-common-reference-levels-global-scale) A1 - C2 of the language (i.e., from beginner to fluent), including a strong understanding of the grammar:
* _New Italian Espresso - Beginner and Pre-intermediate_ (CEFR level A0 - A1.5) and _Intermediate and Advanced_ (CEFR level A1.5 - B1) - the textbooks and workbooks
* _Nuovo Espresso 4, 5, 6_ (CEFR levels B2, C1, C2) - these books are only in Italian
* _English Grammar for Students of Italian_
* _Italian Grammar in Practice_ (covering CEFR levels A1 - B2)
* _Pocket Italian Grammar_
Background
----------
This package is mostly me wanting a fast way to study Italian and learning how to make GUIs in Python with `tkinter`. I've only been using Mac OS, so the formatting of the GUIs might be off on Linux or Windows. If you want to use and/or customize the code for your own language and you'd like some help, or if you have any suggestions, feel free to open an issue!
_memoria_ is Latin (and Italian!) for 'memory, remembrance'. Hence the Latin phrase 'In memoriam' and the English derivatives 'memorial' and 'memoir'.
The logo is a Roman mosaic showing μνημοσύνη (Mnemosyne), the Greek Titan of memory and mother of the nine Muses. μνήμη is Greek for 'memory, remembrance' and is the origin of the English derivative 'mnemonic'.
Raw data
{
"_id": null,
"home_page": "https://github.com/jeffjennings/memoria",
"name": "memoria-gui",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": "",
"keywords": "language,Italian",
"author": "Jeff Jennings",
"author_email": "jjennings1519@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/09/23/b05d13f175150a76b3697fe7af4f664007ed0e888bb052cdc9a44ee2550f/memoria-gui-0.1.3.tar.gz",
"platform": null,
"description": "<p align=\"center\">\n <img width = \"300\" src=\"https://github.com/jeffjennings/memoria/blob/main/logo.jpg?raw=true\"/>\n </p>\n\n<p align=\"center\">\nA simple GUI to generate flashcards for memorizing vocabulary, grammar and phrases of a foreign language.\n</p>\n\n<p align=\"center\">\n <!-- current release -->\n <a href=\"https://github.com/jeffjennings/memoria/releases\">\n <img src=\"https://img.shields.io/github/release/jeffjennings/memoria/all.svg\">\n </a>\n\n <!-- current version on pypi -->\n <a href=\"https://pypi.python.org/pypi/memoria-gui\">\n <img src=\"https://img.shields.io/pypi/v/memoria-gui.svg\">\n\n</p>\n\nInstall\n-------\n`pip install memoria-gui`\n\nUsing _memoria_\n---------------\n`python gui.py` from the terminal produces a GUI with which you choose: \n- a book to draw entries from,\n- which chapters in the book to draw from,\n- which type of entry to draw (vocabulary, grammar or phrases), and\n- in which language to display the entries on the flashcards (English or the foreign language).\n\nGrids of flashcards are then generated, spanning all the entries of the chosen type from the chosen source, with the order randomized. Clicking on a flashcard shows its English/foreign language counterpart (or in the case of grammar, the relevant forms). \n\n_memoria_ is currently tailored to Italian, but it's easy to drop in another language (it might eventually support Ancient Greek and Latin) - just add new dictionaries with the English and foreign language counterparts.\n\nUsing _memoria_ for Italian\n---------------------------\nFor Italian specifically:\n- Clicking on a vocabulary flashcard a second time opens the [WordReference](https://www.wordreference.com/iten/) website with a search for the word to obtain its dictionary entry.\n- Clicking on a verb flashcard a second time opens the [Virgilio](https://sapere.virgilio.it/parole/coniuga-verbi/) website with a search for the verb to obtain its conjugations in all tenses.\n- Clicking on other grammar or phrase flashcards a second time opens google translate with the Italian version of the entry, so that you can hear it spoken by clicking on the speaker icon there.\n- If you're interested in learning Italian, these are the books I'm using (and the source of flashcard entries in the code). Together I think they should provide a good teaching of [CEFR levels](https://www.coe.int/en/web/common-european-framework-reference-languages/table-1-cefr-3.3-common-reference-levels-global-scale) A1 - C2 of the language (i.e., from beginner to fluent), including a strong understanding of the grammar:\n * _New Italian Espresso - Beginner and Pre-intermediate_ (CEFR level A0 - A1.5) and _Intermediate and Advanced_ (CEFR level A1.5 - B1) - the textbooks and workbooks\n * _Nuovo Espresso 4, 5, 6_ (CEFR levels B2, C1, C2) - these books are only in Italian\n * _English Grammar for Students of Italian_ \n * _Italian Grammar in Practice_ (covering CEFR levels A1 - B2)\n * _Pocket Italian Grammar_\n\nBackground\n----------\nThis package is mostly me wanting a fast way to study Italian and learning how to make GUIs in Python with `tkinter`. I've only been using Mac OS, so the formatting of the GUIs might be off on Linux or Windows. If you want to use and/or customize the code for your own language and you'd like some help, or if you have any suggestions, feel free to open an issue!\n\n_memoria_ is Latin (and Italian!) for 'memory, remembrance'. Hence the Latin phrase 'In memoriam' and the English derivatives 'memorial' and 'memoir'.\n\nThe logo is a Roman mosaic showing \u03bc\u03bd\u03b7\u03bc\u03bf\u03c3\u03cd\u03bd\u03b7 (Mnemosyne), the Greek Titan of memory and mother of the nine Muses. \u03bc\u03bd\u03ae\u03bc\u03b7\tis Greek for 'memory, remembrance' and is the origin of the English derivative 'mnemonic'.\n",
"bugtrack_url": null,
"license": "LGPLv3",
"summary": "GUI for memorizing vocabulary, grammar, phrases of a foreign language",
"version": "0.1.3",
"project_urls": {
"Bug Tracker": "https://github.com/jeffjennings/memoria/issues",
"Homepage": "https://github.com/jeffjennings/memoria"
},
"split_keywords": [
"language",
"italian"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "0923b05d13f175150a76b3697fe7af4f664007ed0e888bb052cdc9a44ee2550f",
"md5": "88b0380328fce149d248ad52c06f9375",
"sha256": "a7cde5e5071e9da2ed94a6354a15c71a8a459baade43726af867cf13e5160d91"
},
"downloads": -1,
"filename": "memoria-gui-0.1.3.tar.gz",
"has_sig": false,
"md5_digest": "88b0380328fce149d248ad52c06f9375",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 10022,
"upload_time": "2024-01-27T21:48:38",
"upload_time_iso_8601": "2024-01-27T21:48:38.990861Z",
"url": "https://files.pythonhosted.org/packages/09/23/b05d13f175150a76b3697fe7af4f664007ed0e888bb052cdc9a44ee2550f/memoria-gui-0.1.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-01-27 21:48:38",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "jeffjennings",
"github_project": "memoria",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "memoria-gui"
}
JSON
