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TinyDB Materials (#731)
* Initial Commit * update after isort * Update pyproject.toml file * Update README * Ruff format * Post TR2 -Attempt 1 * Post TR2 Attempt 3 * Post TR2 Attempt 4 * Post TR2 Attempt 5 * Post TR2 Attempt 6 * Restore folders accidentally removed during merge * Move restored dirs into parent folder * Update README --------- Co-authored-by: martin-martin <breuss.martin@gmail.com> Co-authored-by: Martin Breuss <martin-martin@users.noreply.github.com> Co-authored-by: Leodanis Pozo Ramos <lpozor78@gmail.com>
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‎tinydb/README.md‎

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# TinyDB: A Lightweight JSON Database for Small Projects
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This repository contains the downloadable code for the Real Python tutorial: [TinyDB: A Lightweight JSON
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Database for Small Projects](https://realpython.com/tinydb-python/)
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## Contents
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- `create_db.py` — Code from the **CREATE** section of the tutorial
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- `read.py` — Code from the **READ** section of the tutorial
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- `update_db.py` — Code from the **UPDATE** section of the tutorial
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- `update_db_v2.py` — Additional update code from the **UPDATE** section
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- `update_db_v3.py` — Additional update code from the **UPDATE** section
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- `delete.py` — Code from the **DELETE** section of the tutorial
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- `countries_file.csv` — CSV data used to create TinyDB documents
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- `ten_countries.json` — Sample JSON file containing data for ten countries

‎tinydb/countries_file.csv‎

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location,population,continent
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Argentina,45929925,South America
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Switzerland,8990428,Europe
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Mozambique,36147236,Africa

‎tinydb/create_db.py‎

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from csv import DictReader
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from tinydb import TinyDB
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with TinyDB("countries.json", indent=4) as countries_db:
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countries_table = countries_db.table(name="countries")
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countries_table.insert({"location": "Vatican City", "population": 501})
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countries_table.insert_multiple(
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[
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{"location": "India", "population": 1_417_492_000},
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{"location": "China", "population": 1_408_280_000},
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]
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)
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with open("countries_file.csv", "r") as csv_source:
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reader = DictReader(csv_source)
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for row in reader:
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row["population"] = int(row["population"])
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countries_table.insert(row)

‎tinydb/delete.py‎

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# REPL code
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from tinydb import TinyDB, where
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countries_db = TinyDB("ten_countries.json")
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countries_table = countries_db.table(name="countries")
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len(countries_table)
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countries_table.remove(doc_ids=[3, 5, 7])
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len(countries_table)
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countries_table.remove(where("population") < 300_000_000)
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len(countries_table)
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countries_table.truncate()
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len(countries_table)
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countries_db.tables()
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countries_db.drop_table(name="countries")
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countries_db.tables()

‎tinydb/read.py‎

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# REPL Code
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from pprint import pprint
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from tinydb import Query, TinyDB
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countries_db = TinyDB("ten_countries.json")
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countries_table = countries_db.table(name="countries")
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query = Query()
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query_def = (query.population > 220_000_000) & (query.population < 250_000_000)
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pprint(countries_table.search(query_def))
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pprint(countries_table.search(query_def))
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pprint(countries_table.search(query["% of world"] >= 17))
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pprint(countries_table.get(doc_ids=[9, 10]))
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countries_db.close()

‎tinydb/ten_countries.json‎

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{
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"countries": {
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"1": {
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"location": "India",
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"population": 1417492000,
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"% of world": 17.3,
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"date": "1 Jul 2025",
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"source": "Official projection"
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},
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"2": {
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"location": "China",
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"population": 1408280000,
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"% of world": 17.2,
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"date": "31 Dec 2024",
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"source": "Official estimate"
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},
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"3": {
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"location": "United States",
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"population": 340110988,
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"% of world": 4.1,
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"date": "1 Jul 2024",
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"source": "Official estimate"
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},
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"4": {
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"location": "Indonesia",
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"population": 284438782,
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"% of world": 3.5,
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"date": "30 Jun 2025",
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"source": "National annual projection"
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},
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"5": {
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"location": "Pakistan",
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"population": 241499431,
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"% of world": 2.9,
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"date": "1 Mar 2023",
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"source": "2023 Census result"
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},
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"6": {
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"location": "Nigeria",
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"population": 223800000,
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"% of world": 2.7,
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"date": "1 Jul 2023",
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"source": "Official projection"
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},
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"7": {
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"location": "Brazil",
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"population": 213421037,
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"% of world": 2.6,
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"date": "1 Jul 2025",
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"source": "Unknown"
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},
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"8": {
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"location": "Bangladesh",
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"population": 169828911,
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"% of world": 2.1,
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"date": "14 Jun 2022",
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"source": "2022 Census result"
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},
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"9": {
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"location": "Russia",
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"population": 146028325,
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"% of world": 1.8,
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"date": "1 Jan 2025",
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"source": "???"
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},
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"10": {
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"location": "Mexico",
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"population": 0,
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"% of world": 1.6,
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"date": "30 Jun 2025",
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"source": "???"
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}
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}
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}

‎tinydb/update_db.py‎

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from tinydb import TinyDB, where
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with TinyDB("ten_countries.json") as countries_db:
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countries_table = countries_db.table(name="countries")
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countries_table.update(
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{"population": 130_575_786}, where("location") == "Mexico"
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)
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countries_table.update(
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{"source": "National quarterly update"},
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where("location") == "Mexico",
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)
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# REPL code.
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# from pprint import pprint
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# from tinydb import TinyDB, where
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# with TinyDB("ten_countries.json") as countries_db:
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# countries_table = countries_db.table(name="countries")
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# pprint(countries_table.search(where("location") == "Mexico"))

‎tinydb/update_db_v2.py‎

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from tinydb import TinyDB, where
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with TinyDB("ten_countries.json") as countries_db:
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countries_table = countries_db.table(name="countries")
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countries_table.update_multiple(
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[
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(
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{"population": 130_575_786},
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where("location") == "Mexico",
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),
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(
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{"source": "National quarterly update"},
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where("location") == "Mexico",
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),
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]
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)

‎tinydb/update_db_v3.py‎

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from tinydb import TinyDB
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with TinyDB("ten_countries.json") as countries_db:
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countries_table = countries_db.table(name="countries")
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countries_table.update({"source": "Official estimate"}, doc_ids=[7, 9])

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