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Supercharged Studying with Anki, ChatGPT and Python


A lot has been mentioned on how ChatGPT can be utilized by college students for dishonest, however it’s laborious to overstate how a lot of a incredible learning device it may be. On this article we’ll focus on methods to instruct ChatGPT to provide us a properly formatted record of knowledge that ought to be memorized, which is able to then be used as enter in a python program that may output an Anki bundle that we’ll then load to Anki to assist us bear in mind the ideas by reminiscence triggers.

Anki is a strong open-source flashcard utility that helps customers memorize info extra effectively utilizing spaced repetition. It’s out there on a number of platforms, together with Home windows, macOS, Linux, iOS, and Android. Anki permits customers to create their very own decks of flashcards containing textual content, photos, audio, and even LaTeX equations.

We’ll reveal methods to create Anki playing cards programmatically utilizing Python and the Genanki library. We’ll create an Anki deck for studying the Linux filesystem directories and their descriptions. The deck will include primary and reverse sort playing cards for every listing.

Studying methods to correctly use Anki is a ability in itself. When you’ve got by no means heard of it, it’s a spaced-repetition software program that may assist you memorize associated items of knowledge. Here is a good video to get you started. On this program we’ll use the ideas of Anki fashions, playing cards, notes, decks and packages to create our card set.

  1. Anki Fashions: An Anki mannequin, also referred to as a observe sort, defines the construction and format of a set of playing cards. Every mannequin consists of a set of fields, which retailer the data to be discovered, and a set of card templates, which decide how that info is displayed on the playing cards. Fashions permit customers to create several types of playing cards and layouts for numerous studying wants, similar to primary playing cards, reverse playing cards, and cloze deletion playing cards.

  2. Anki Playing cards: An Anki card is a digital flashcard containing info to be discovered. Every card has a entrance aspect, which normally comprises a query or a immediate, and a again aspect, which comprises the reply or extra info associated to the entrance aspect. Anki playing cards can include textual content, photos, audio, and even LaTeX equations. Playing cards are generated from fashions and their related fields, which decide the content material and format of the playing cards.

  3. Anki Notes: An Anki observe is a single piece of knowledge that’s used to generate a number of flashcards or Anki playing cards. Every observe relies on a particular mannequin (also referred to as a observe sort), which defines the construction, format, and fields for that observe. Fields retailer the precise content material of the observe, similar to questions, solutions, or prompts, whereas the mannequin determines how that content material is displayed on the generated playing cards.

  4. Anki Decks: An Anki deck is a set of playing cards on a particular subject or topic. Decks are used to arrange playing cards into significant teams, making it simpler for customers to deal with a specific space of research. Anki permits customers to create and customise their very own decks, which will be shared with others, imported, or exported. Customers can research one deck at a time or a number of decks concurrently, relying on their studying objectives and preferences.

  5. Anki Packages: An Anki bundle is a single file containing a number of decks, together with their related playing cards, fashions, media information, and different associated information. Anki packages have the file extension “.apkg” and will be simply shared, imported, or exported between customers and gadgets. Anki packages are a handy option to distribute decks and associated content material, as they bundle all mandatory info in a single file. When importing an Anki bundle, the decks, playing cards, and fashions it comprises are added to the consumer’s present assortment.

ChatGPT will be seen as a humanoid Google. It will not do the be just right for you and it actually will not do the considering for you. Nevertheless, if you know the way to phrase your questions, it may give you some fairly good solutions, and within the format you want to them to be, which makes inserting these solutions in a program that a lot simpler.

On this instance, I’ll ask a query relating to the Linux filesystem, I anticipate the reply to be an inventory of the directories accessible from the basis folder, with an evidence of why they’re there. If it would not provide the reply you need, bear in mind to be extra particular.

Chat GPT answer on the Linux filesystem

It is a partial screenshot, the reply goes all the best way to 14, the /var listing used to retailer fluid information information which are supposed to alter throughout a system use session, and the final one in alphabetical order.

Up to now, so good. But when we need to insert this info right into a program, we have to have it formatted. That is one thing wherein Chat GPT shines. In the event you obtain, say, a paragraph as a solution, you may simply ask the robotic to rephrase it as an ordered record, after which ask it to ship every merchandise as an array of tuples as an illustration. here is an instance based mostly on the final reply:

Image description

Keep in mind to all the time evaluation the solutions earlier than importing them to Anki, as you may hammer the returned info into your mind; you’ll not need to sabotage your knowledge-gathering throughout your research.

That is sufficient for now, let’s get to coding.

To get began, you may want to put in the genanki library, which is a Python library for creating Anki decks and playing cards programmatically. You’ll be able to set up it utilizing pip:

pip set up genanki
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Now that we’ve the genanki library put in, let’s create a Python script that generates the Anki playing cards and deck for Linux filesystem directories.



Preparations

Right here we’ll import the library and paste the ChatGPT reply. It is going to be used quickly as a parameter to the features supplied by genanki.

import genanki

# Listing of Linux directories and their descriptions
linux_dirs = [
    ("https://style-tricks.com/", 'Root directory, starting point of the filesystem hierarchy.'),
    ('/bin', 'Contains essential system command executables.'),
    ('/sbin', 'Contains essential system administration command executables.'),
    ('/boot', 'Contains files needed to start the boot process.'),
    ('/etc', "Contains system-wide configuration files and scripts."),
    ('/dev', 'Contains device files representing hardware devices.'),
    ('/home', 'Contains personal directories for each user.'),
    ('/lib', 'Contains shared libraries and kernel modules.'),
    ('/opt', 'Optional directory for storing third-party software.'),
    ('/proc', 'Virtual filesystem providing an interface to kernel internal data structures.'),
    ('/sys', 'Virtual filesystem providing an interface to kernel internal data structures for devices, drivers, and other components.'),
    ('/tmp', 'Temporary directory for storing files deleted after a system reboot.'),
    ('/usr', 'Contains user-related files, shared libraries, header files, documentation, and non-essential software binaries.'),
    ('/var', 'Contains variable data files, such as logs, databases, and mail spools.'),
]
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Right here we’ve to generate a mannequin ID for the playing cards we’re creating, which needs to be distinctive. Additionally, you will have to provide a reputation to your mannequin, create fields to be populated by content material after which declare a template on your observe utilizing these fields; keep in mind that a observe is principally a type for playing cards related to that observe and we can have two playing cards for every observe because the listing identify is a reminiscence set off for the listing description and vice-versa.

# Outline Anki observe mannequin
model_id = 1607392319
mannequin = genanki.Mannequin(
    model_id,
    'Linux filesystem folders',
    fields=[
        {'name': 'Directory'},
        {'name': 'Description'},
    ],
    templates=[
        {
            'name': 'Card 1',
            'qfmt': '{{Directory}}',
            'afmt': '{{Description}}',
        },
        {
            'name': 'Card 2',
            'qfmt': '{{Description}}',
            'afmt': '{{Directory}}',
        },
    ])
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We’ll lastly create the deck and provides it an ID (which, you guessed it, should be distinctive) and in addition give it a reputation. We’ll then iterate by our record of tuples and create a observe for every tuple, declaring the observe’s mannequin and inputting our content material as fields (‘Listing’ and ‘Description’ respectively).
We’ll lastly write a bundle containing our single deck. When you’ve got an Anki set up, simply double click on on the generated file and it ought to open in this system, prepared for learning.

# Generate Anki playing cards and add them to a deck
deck_id = 2059400110
deck = genanki.Deck(deck_id, 'Linux Filesystem')

for dir_name, description in linux_dirs:
    observe = genanki.Be aware(mannequin=mannequin, fields=[dir_name, description])
    deck.add_note(observe)

# Save the deck to an Anki bundle (*.apkg) file
genanki.Bundle(deck).write_to_file('linux_filesystem.apkg')
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import genanki

# Listing of Linux directories and their descriptions
linux_dirs = [
    ("https://style-tricks.com/", 'Root directory, starting point of the filesystem hierarchy.'),
    ('/bin', 'Contains essential system command executables.'),
    ('/sbin', 'Contains essential system administration command executables.'),
    ('/boot', 'Contains files needed to start the boot process.'),
    ('/etc', "Contains system-wide configuration files and scripts."),
    ('/dev', 'Contains device files representing hardware devices.'),
    ('/home', 'Contains personal directories for each user.'),
    ('/lib', 'Contains shared libraries and kernel modules.'),
    ('/opt', 'Optional directory for storing third-party software.'),
    ('/proc', 'Virtual filesystem providing an interface to kernel internal data structures.'),
    ('/sys', 'Virtual filesystem providing an interface to kernel internal data structures for devices, drivers, and other components.'),
    ('/tmp', 'Temporary directory for storing files deleted after a system reboot.'),
    ('/usr', 'Contains user-related files, shared libraries, header files, documentation, and non-essential software binaries.'),
    ('/var', 'Contains variable data files, such as logs, databases, and mail spools.'),
]

# Outline Anki observe mannequin
model_id = 1607392319
mannequin = genanki.Mannequin(
    model_id,
    'Easy Mannequin',
    fields=[
        {'name': 'Directory'},
        {'name': 'Description'},
    ],
    templates=[
        {
            'name': 'Card 1',
            'qfmt': '{{Directory}}',
            'afmt': '{{Description}}',
        },
        {
            'name': 'Card 2',
            'qfmt': '{{Description}}',
            'afmt': '{{Directory}}',
        },
    ])

# Generate Anki playing cards and add them to a deck
deck_id = 2059400110
deck = genanki.Deck(deck_id, 'Linux Filesystem')

for dir_name, description in linux_dirs:
    observe = genanki.Be aware(mannequin=mannequin, fields=[dir_name, description])
    deck.add_note(observe)

# Save the deck to an Anki bundle (*.apkg) file
genanki.Bundle(deck).write_to_file('linux_filesystem.apkg')
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This script is fairly good, I exploit it fairly often, however let’s not faux it’s good.
You’ll have to generate the deck each time you need to add stuff programatically. You can even get the Deck ID and generate extra playing cards to a brand new bundle with the identical ID and add them, however this could result in errors if you’re not cautious.
Additionally, the enter methodology is at the moment an array of tuples. You’ll have to edit the script each time to replace the array with a brand new deck. You can additionally copy and paste it to a textual content file and skim the enter from there, and in addition randomly generate a mannequin ID so you may simply paste the cardboard contents to your textual content file and have the bundle generate from a single script run. That is considerably subjective so I left it out on function.

Anki has many sorts of playing cards, the primary ones being the fundamental (reminiscence set off + reply) and cloze (a number of reminiscence triggers embedded in a top level view). This instance makes use of the fundamental and reversed card, as a result of each the ‘query’ and ‘reply’ could be a reminiscence set off for one another; if you need a easy, primary card you must seek the advice of the instance at Genanki‘s README.
I hope this script serves as at the very least a place to begin on your personal functions of programmable Anki, it’s in all probability my foremost research methodology these days, and it received a complete extra highly effective after ChatGPT. Have enjoyable along with your coding.

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