diff --git a/.buildinfo b/.buildinfo new file mode 100644 index 0000000..e941657 --- /dev/null +++ b/.buildinfo @@ -0,0 +1,4 @@ +# Sphinx build info version 1 +# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. +config: 31dd932cca36007dd750fe41a9f6f829 +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/_downloads/8c390263b77723dc41da5666b12d4cd4/worldatlas.sqlite3.gz b/_downloads/8c390263b77723dc41da5666b12d4cd4/worldatlas.sqlite3.gz new file mode 100644 index 0000000..e93222d Binary files /dev/null and b/_downloads/8c390263b77723dc41da5666b12d4cd4/worldatlas.sqlite3.gz differ diff --git a/_downloads/8e701423f6837ab9ee2658251dd2ab49/worldatlas.sqlite3 b/_downloads/8e701423f6837ab9ee2658251dd2ab49/worldatlas.sqlite3 new file mode 100644 index 0000000..13b5b83 Binary files /dev/null and b/_downloads/8e701423f6837ab9ee2658251dd2ab49/worldatlas.sqlite3 differ diff --git a/_sources/api_reference.rst.txt b/_sources/api_reference.rst.txt new file mode 100644 index 0000000..106a62f --- /dev/null +++ b/_sources/api_reference.rst.txt @@ -0,0 +1,123 @@ +API Reference +============= + +This section provides a detailed overview of the available methods and their usage in **pyworldatlas**. Each method is designed to retrieve specific data about countries, with simple and intuitive interfaces. + +.. note:: + Throughout the examples, we will assume **pyworldatlas** has been imported as `pwa`. + +.. code-block:: python + + import pyworldatlas as pwa + atlas = pwa.Atlas() + +Classes and Methods +------------------- + +Atlas Class +----------- +The **Atlas** class is the main interface for accessing country data. It provides several methods to retrieve specific country profiles, lists of countries, and other data. + +get_country_profile +------------------- +Fetches detailed profile information for a specific country. + +**Parameters**: +- **name** (*str*) – The name or ISO 3166 Alpha-2 code of the country. + +**Returns**: +- **dict** – A dictionary containing detailed information about the country's official names, capital, largest city, area, population, government, and more. + +**Example**: + +.. code-block:: python + + profile = atlas.get_country_profile("France") + print(profile) + +**Example Output**: + +.. code-block:: python + + { + 'capital': { + 'name': 'Paris', + 'coordinates_degree_east': 2.3522, + 'coordinates_degree_north': 48.8566, + 'is_largest_city': True, + }, + 'driving_side': 'Right', + 'calling_code': '+33', + 'iso_3166_code': 'FR', + 'internet_tld': '.fr', + } + +get_countries (WIP) +------------------- +Fetches a list of countries, optionally filtered by continents or population/GDP ranges. + +**Parameters:** + +- **continents** (*list of str, optional*) – The continents to filter by (e.g., ``["Asia", "Europe"]``). +- **min_population** (*float, optional*) – The minimum population to filter by. +- **max_population** (*float, optional*) – The maximum population to filter by. +- **min_gdp** (*float, optional*) – The minimum GDP to filter by. +- **max_gdp** (*float, optional*) – The maximum GDP to filter by. + +**Returns**: + +- **list of str** – A list of country names that match the criteria. + +**Example**: + +.. code-block:: python + + countries = atlas.get_countries(continents=["Europe"], min_population=1000000) + print(countries) + +**Example Output**: + +.. code-block:: python + + ['France', 'Germany', 'Italy', 'Spain'] + +get_progress +------------ +Returns the percentage of data that the package currently contains. + +**Returns**: +- **float** – The percentage of the dataset that is complete. + +**Example**: + +.. code-block:: python + + progress = atlas.get_progress() + +**Example Output**: + +.. code-block:: python + + "Current data size: 3, Total data size: 285, Progress: 1.1%" + +Error Handling +-------------- + +**pyworldatlas** provides custom exceptions to help identify and handle errors efficiently. + +CountryNotFoundError +-------------------- +Raised when a country is not found in the dataset. + +**Example**: + +.. code-block:: python + + try: + profile = atlas.get_country_profile("Nonexistentland") + except pwa.Atlas.CountryNotFoundError: + print("Country not found.") + +Additional Features +------------------- +**pyworldatlas** is continually evolving. Refer to the `Roadmap `_ for upcoming features and improvements. diff --git a/_sources/changelog.rst.txt b/_sources/changelog.rst.txt new file mode 100644 index 0000000..5ece58b --- /dev/null +++ b/_sources/changelog.rst.txt @@ -0,0 +1,46 @@ +Changelog +========= + +0.0.7 - 2024-08-24 +------------------ +**Added** +- Polished documentation, added database download and country data pages. +- Finished the `get_country_profile` method, now it is a lot more refined and better. +- Database is now shipped as a gzip and then decompressed for the package to use. +- Added basic tests (need to be expanded). +- Incorporated tox, to be able to test in different Python versions and tests behave accordingly. +- Bumped the requirement for the package to Python 3.8+ (support for Python 3.7 or earlier is now deprecated). +- Added the --version cli command for the package. +- Methods are now fragmented to facilitate testing. +- Many smaller other fixes and enhancements. +- Databases are now de-fragmented prior to final release. + +0.0.6 - 2024-08-20 +------------------ +**Added** +- Added Algeria country data. +- Ensured uniqueness for languages in the dataset. + +0.0.5 - 2024-08-19 +------------------ +**Added** +- Completed country data for Albania. +- Added support for Daylight Savings Time (DST). + +**Fixed** +- Updated largest city and coordinates for each country model. + +0.0.4 - 2024-08-19 +------------------ +**Added** +- Introduced the `Continent` model following the 7-continent approach. +- Added the `needs_updated` and `last_updated` fields to the country model. +- Introduced office terms for prime ministers, presidents, and other leaders. + +0.0.3 - 2024-08-16 +------------------ +**Added** +- Initial base model. +- Added data for Afghanistan (0.35% completion). +- Added official country names for stronger profiles (e.g., "Albania" -> "Republic of Albania"). +- Added Wikipedia revision ID for each country to track data sources. diff --git a/_sources/contributing.rst.txt b/_sources/contributing.rst.txt new file mode 100644 index 0000000..4769f19 --- /dev/null +++ b/_sources/contributing.rst.txt @@ -0,0 +1,12 @@ +Contributing +============ + +Thank you for your interest in contributing to **pyworldatlas**. + +At this time, **pyworldatlas** is a personal project, and I am not accepting any external contributions. The goal is to fully complete the package before opening it up to collaboration. + +Once the project reaches a stable and complete state, I will provide detailed guidelines for contributing, including coding standards, issue reporting, and feature requests. + +Stay tuned for updates! In the meantime, feel free to use the package and provide feedback via the `GitHub Issue Tracker `_. + +Thank you for your understanding! diff --git a/_sources/country_data.rst.txt b/_sources/country_data.rst.txt new file mode 100644 index 0000000..14c408b --- /dev/null +++ b/_sources/country_data.rst.txt @@ -0,0 +1,17 @@ +Country Data +============ + +This page lists all the countries currently available in the `pyworldatlas` database. If a country is shown below, it indicates that its information is present in the database. Otherwise, the country is yet to be added. + +.. list-table:: Countries in pyworldatlas Database + :header-rows: 1 + :widths: 20 10 + + * - **Country** + - **ISO 3166 CODE** + * - Afghanistan + - AF + * - Albania + - AL + * - Algeria + - DZ diff --git a/_sources/database_download.rst.txt b/_sources/database_download.rst.txt new file mode 100644 index 0000000..8588f9e --- /dev/null +++ b/_sources/database_download.rst.txt @@ -0,0 +1,51 @@ +Database Download +================= + +The `pyworldatlas` database is available for download. This database contains all the current information compiled about the countries in the package. + +.. note:: + The database is included by default when you install `pyworldatlas`, so downloading it manually is optional unless you want to access it separately. + +Download Link +------------- +You can download the latest version of the database from the link below: + +- **Database File (Uncompressed)**: :download:`worldatlas.sqlite3 ` +- **Database File (Compressed)**: :download:`worldatlas.sqlite3.gz ` + +File Details +------------ + +- **Uncompressed**: + + - **Size**: 288 KB + - **SHA-256 Hash**: + + `2e8b9594da57e0e80f0a692530136dffb06d631375a159ea1bd242642d837760` + + +- **Compressed (GZIP)**: + + - **Size**: 10 KB + - **SHA-256 Hash**: + + `1fd820212aa6cbc3f07ab32c3a4db3b7f683c1101a80a7649ddcf2fdf0aa7bd0` + + + +Verifying the File +------------------ +To ensure the integrity of the downloaded database file, you can verify the SHA-256 hash. This can be done with the following command, depending on your operating system: + +**Linux/Mac**: + +.. code-block:: bash + + sha256sum worldatlas.sqlite3 + +**Windows (PowerShell)**: + +.. code-block:: powershell + + Get-FileHash worldatlas.sqlite3 -Algorithm SHA256 + diff --git a/_sources/examples.rst.txt b/_sources/examples.rst.txt new file mode 100644 index 0000000..ce68152 --- /dev/null +++ b/_sources/examples.rst.txt @@ -0,0 +1,3 @@ +Examples +======== + diff --git a/_sources/faq.rst.txt b/_sources/faq.rst.txt new file mode 100644 index 0000000..5d5e992 --- /dev/null +++ b/_sources/faq.rst.txt @@ -0,0 +1,36 @@ +FAQ +=== + +Below are some frequently asked questions about **pyworldatlas**. If you have any additional questions, feel free to check the `GitHub Issue Tracker `_. + +Does pyworldatlas require an internet connection to work? +--------------------------------------------------------- +No, **pyworldatlas** ships with a built-in SQLite database called `worldatlas.sqlite3`, so all the data is stored locally. This ensures that you can use the package without needing an internet connection. + +How does pyworldatlas ensure political neutrality? +-------------------------------------------------- +The data compiled by **pyworldatlas** aims to be politically neutral. I rely on publicly available sources and focus on objective data like official country names, population, geography, and economic statistics. I avoid any subjective or political opinions. + +What is the minimum Python version required to use pyworldatlas? +---------------------------------------------------------------- +**pyworldatlas** requires Python 3.8 or higher to work properly. However, Python 3.9 is best for maximum performance. + +Does pyworldatlas depend on any external libraries? +--------------------------------------------------- +No, **pyworldatlas** does not have any external dependencies. It is designed to be lightweight, with everything handled internally using Python’s standard libraries, such as SQLite. + +What data can I get from pyworldatlas? +-------------------------------------- +**pyworldatlas** provides a wide range of data for each country, including official names, population, capital, largest city, GDP, government structure, and more. For a full list of available data, refer to the `API Reference `_. + +Where does pyworldatlas source its data from? +--------------------------------------------- +The data in **pyworldatlas** is manually compiled from publicly available resources, primarily sourced from the `List of Countries on Simple Wikipedia `_. The goal is to ensure that the information provided is accurate and up to date. + +How can I verify the source of the data for each country? +--------------------------------------------------------- +Each country's profile in **pyworldatlas** includes the main Wikipedia article revision ID from which the information was sourced. This ensures transparency and allows users to verify the exact version of the data used. A method to quickly retrieve the revision ID will be available soon for convenience. + +How do I report an issue or suggest a feature? +---------------------------------------------- +If you encounter any issues or have suggestions for new features, please visit our `GitHub Issue Tracker `_ and create a new issue. Contributions are always welcome! \ No newline at end of file diff --git a/_sources/getting_started.rst.txt b/_sources/getting_started.rst.txt new file mode 100644 index 0000000..5fc03b2 --- /dev/null +++ b/_sources/getting_started.rst.txt @@ -0,0 +1,60 @@ +Getting Started +=============== + +This guide will help you get up and running with **pyworldatlas**. In just a few steps, you’ll be able to access comprehensive data about any country using simple method calls. + +Prerequisites +------------- +Before you begin, ensure you have installed **pyworldatlas**. If you haven’t already, check out the `Installation `_ guide. + +Basic Usage +----------- +Once installed, using pyworldatlas is straightforward. The package provides a simple interface to retrieve detailed information about countries. Below is an example to get you started. + +Example: Fetching a Country's Profile +------------------------------------- +To begin, import the package and create an instance of the **Atlas** class. Then, you can use the `get_country_profile` method to retrieve information about a specific country. + +Here's a basic example: + +.. code-block:: python + + import pyworldatlas as pwa + + atlas = pwa.Atlas() + + # Fetch the profile of a country by name + profile = atlas.get_country_profile("United States") + + # Display the profile information + print(profile) + +This will return a dictionary containing detailed information about the specified country, including its capital, largest city, driving side, and more. + +Example Output +-------------- +The output will look something like this: + +.. code-block:: python + + { + 'capital': { + 'name': 'Washington, D.C.', + 'coordinates_degree_east': -77.0369, + 'coordinates_degree_north': 38.9072, + 'is_largest_city': False, + }, + 'largest_city': { + 'name': 'New York City', + 'coordinates_degree_east': -74.0060, + 'coordinates_degree_north': 40.7128, + }, + 'driving_side': 'Right', + 'calling_code': '+1', + 'iso_3166_code': 'US', + 'internet_tld': '.us', + } + +What Next? +---------- +With this foundation, you can start exploring other features of **pyworldatlas**. Refer to the `API Reference `_ for a comprehensive list of available methods and options. diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt new file mode 100644 index 0000000..68f8922 --- /dev/null +++ b/_sources/index.rst.txt @@ -0,0 +1,42 @@ +Welcome to pyworldatlas's Documentation +======================================== + +**pyworldatlas** is a Python package that compiles detailed data about every country, offering easy-to-use methods for retrieving country profiles, statistics, and more. + +Key Features +------------ +- Extensive country data, including official names, population, geography, government details, GDP, and more. +- Lightweight and efficient, ensuring fast access to country information. +- No external dependencies, making it easy to install and integrate into any Python project. + +Get started by following the instructions below. + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + introduction + installation + getting_started + api_reference + country_data + database_download + faq + contributing + roadmap + changelog + license + +Quick Links +----------- +- `GitHub Repository `_ +- `Issue Tracker `_ +- `PyPI Page `_ + +Contributing +------------ +Contributions are welcome! Please see the `Contributing Guide `_ for more details. + +License +------- +pyworldatlas is licensed under the MIT License. See the `License `_ for more information. diff --git a/_sources/installation.rst.txt b/_sources/installation.rst.txt new file mode 100644 index 0000000..71f53bf --- /dev/null +++ b/_sources/installation.rst.txt @@ -0,0 +1,41 @@ +Installation +============ + +To start using **pyworldatlas**, follow these simple steps to get the package installed on your system. + +Requirements +------------ +- **Python 3.8+** is required to run pyworldatlas. +- For maximum performance, **Python 3.9** is recommended. + +Installing pyworldatlas +----------------------- +To install pyworldatlas, simply run the following command using `pip`: + +.. code-block:: bash + + pip install pyworldatlas + +This will automatically install pyworldatlas and make it available for use in your Python environment. + +Verifying Installation +---------------------- +To verify that pyworldatlas has been successfully installed, you can check the version using the command line: + +.. code-block:: bash + + pyworldatlas --version + +Alternatively, you can verify it in your Python interpreter: + +.. code-block:: python + + import pyworldatlas + + print(pyworldatlas.__version__) + +Either method should display the current version of pyworldatlas, confirming that the installation was successful. + +Next Steps +---------- +Once installed, proceed to the `Getting Started `_ guide to learn how to use pyworldatlas. diff --git a/_sources/introduction.rst.txt b/_sources/introduction.rst.txt new file mode 100644 index 0000000..017ab4a --- /dev/null +++ b/_sources/introduction.rst.txt @@ -0,0 +1,31 @@ +Introduction +============ + +Welcome to **pyworldatlas**, a Python package designed to provide comprehensive data about every country in the world. Whether you are building an application that requires detailed country profiles, or you simply need to access accurate and up-to-date information on global statistics, pyworldatlas has you covered. + +What is pyworldatlas? +---------------------- +**pyworldatlas** is a lightweight, efficient, and easy-to-use Python package that compiles a wide range of data on countries. The package is designed with simplicity in mind, offering methods to retrieve detailed country profiles that include: + +- Official names +- Population statistics +- Geographic information +- Government details +- Economic data (GDP, Gini Index) +- Ethnic groups, religions, and languages +- Timezones, currencies, and much more + +Key Benefits +------------ +- **No external dependencies**: Easily install and use without any hassle. +- **Lightweight and fast**: Minimal footprint with efficient performance. +- **Comprehensive**: Covers a wide array of country-related data in a single package. +- **Easy to integrate**: Works seamlessly in any Python project, whether you’re building applications, performing data analysis, or just exploring global data. + +Who is it for? +-------------- +**pyworldatlas** is designed for developers, data scientists, and anyone interested in accessing detailed country-level data for their projects. Whether you're building a web application, running data analysis, or working on personal projects, pyworldatlas offers a flexible and reliable tool for working with global data. + +Next Steps +---------- +To start using pyworldatlas, follow the `Installation `_ guide or jump right into the `Getting Started `_ page to begin working with the package. diff --git a/_sources/license.rst.txt b/_sources/license.rst.txt new file mode 100644 index 0000000..84d5ad1 --- /dev/null +++ b/_sources/license.rst.txt @@ -0,0 +1,29 @@ +License +======= + +Let's throw the MIT license on it because I guess having a license page looks good? 😄 + +That being said, this project is licensed under the MIT License, meaning you’re free to use, modify, and distribute the code as you wish, as long as attribution is given. For the serious stuff, see below. + +MIT License +----------- + +Copyright (c) 2024 Jorge Caridad + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/_sources/roadmap.rst.txt b/_sources/roadmap.rst.txt new file mode 100644 index 0000000..bc20922 --- /dev/null +++ b/_sources/roadmap.rst.txt @@ -0,0 +1,35 @@ +Roadmap +======= + +The development of **pyworldatlas** is ongoing, with a focus on building a comprehensive and reliable package of country data. Below is the current plan for the package's growth. + +Data Collection Approach +------------------------ +The data collection for **pyworldatlas** is done manually. This process is not automated because I want to take the time to personally learn about each country. This ensures that the data is carefully curated and accurate while providing me with a deeper understanding of global information. + + +Goals and Focus Areas +--------------------- + +**Data Collection** +- **Ongoing**: Adding new countries to the database. The aim is to add around 5 countries per week, though this may vary depending on the complexity and availability of data. Each country requires careful compilation, as information does not always follow a consistent format. +- **Target**: Aim for steady progress toward complete global coverage. + +**Package Core Enhancements** +- **Ongoing**: Improve and refine the core methods for retrieving and processing country data. +- **Short-Term**: Implement a quick access method for retrieving the Wikipedia article revision ID for each country. +- **Mid-Term**: Further optimize performance, especially regarding database queries. + +**Progress Visualization** +- **Planned**: Introduce a visual representation of package progress, such as a bar or graph comparing the expected number of countries to be added versus the actual number of countries in the database. This will be updated periodically to reflect the progress. + +Future Plans +------------ + +As the package evolves, there may be opportunities to introduce additional features and optimizations. However, the current priority remains: +1. **Completing the country dataset**. +2. **Improving the performance and usability of the package**. + +Once the dataset is nearing completion, additional goals such as opening the package for contributions and expanding the documentation will be considered. + +Thank you for following the development of **pyworldatlas**. Stay tuned for updates! diff --git a/_sources/user_guide.rst.txt b/_sources/user_guide.rst.txt new file mode 100644 index 0000000..d6820a9 --- /dev/null +++ b/_sources/user_guide.rst.txt @@ -0,0 +1,3 @@ +User Guide +========= + diff --git a/_static/_sphinx_javascript_frameworks_compat.js b/_static/_sphinx_javascript_frameworks_compat.js new file mode 100644 index 0000000..8141580 --- /dev/null +++ b/_static/_sphinx_javascript_frameworks_compat.js @@ -0,0 +1,123 @@ +/* Compatability shim for jQuery and underscores.js. + * + * Copyright Sphinx contributors + * Released under the two clause BSD licence + */ + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. 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+ if (re2.test(w)) + w = w + "e"; + else if (re3.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + else if (re4.test(w)) + w = w + "e"; + } + } + + // Step 1c + re = /^(.+?)y$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(s_v); + if (re.test(stem)) + w = stem + "i"; + } + + // Step 2 + re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step2list[suffix]; + } + + // Step 3 + re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step3list[suffix]; + } + + // Step 4 + re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + re2 = /^(.+?)(s|t)(ion)$/; + if (re.test(w)) { + var fp = re.exec(w); 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+ +/** + * Simple result scoring code. + */ +if (typeof Scorer === "undefined") { + var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [docname, title, anchor, descr, score, filename] + // and returns the new score. + /* + score: result => { + const [docname, title, anchor, descr, score, filename] = result + return score + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: { + 0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5, // used to be unimportantResults + }, + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + partialTitle: 7, + // query found in terms + term: 5, + partialTerm: 2, + }; +} + +const _removeChildren = (element) => { + while (element && element.lastChild) element.removeChild(element.lastChild); +}; + +/** + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping + */ +const _escapeRegExp = (string) => + string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string + +const _displayItem = (item, searchTerms, highlightTerms) => { + const docBuilder = DOCUMENTATION_OPTIONS.BUILDER; + const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX; + const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX; + const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY; + const contentRoot = document.documentElement.dataset.content_root; + + const [docName, title, anchor, descr, score, _filename] = item; + + let listItem = document.createElement("li"); + let requestUrl; + let linkUrl; + if (docBuilder === "dirhtml") { + // dirhtml builder + let dirname = docName + "/"; + if (dirname.match(/\/index\/$/)) + dirname = dirname.substring(0, dirname.length - 6); + else if (dirname === "index/") dirname = ""; + requestUrl = contentRoot + dirname; + linkUrl = requestUrl; + } else { + // normal html builders + requestUrl = contentRoot + docName + docFileSuffix; + linkUrl = docName + docLinkSuffix; + } + let linkEl = listItem.appendChild(document.createElement("a")); + linkEl.href = linkUrl + anchor; + linkEl.dataset.score = score; + linkEl.innerHTML = title; + if (descr) { + listItem.appendChild(document.createElement("span")).innerHTML = + " (" + descr + ")"; + // highlight search terms in the description + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + } + else if (showSearchSummary) + fetch(requestUrl) + .then((responseData) => responseData.text()) + .then((data) => { + if (data) + listItem.appendChild( + Search.makeSearchSummary(data, searchTerms, anchor) + ); + // highlight search terms in the summary + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + }); + Search.output.appendChild(listItem); +}; +const _finishSearch = (resultCount) => { + Search.stopPulse(); + Search.title.innerText = _("Search Results"); + if (!resultCount) + Search.status.innerText = Documentation.gettext( + "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories." + ); + else + Search.status.innerText = _( + "Search finished, found ${resultCount} page(s) matching the search query." + ).replace('${resultCount}', resultCount); +}; +const _displayNextItem = ( + results, + resultCount, + searchTerms, + highlightTerms, +) => { + // results left, load the summary and display it + // this is intended to be dynamic (don't sub resultsCount) + if (results.length) { + _displayItem(results.pop(), searchTerms, highlightTerms); + setTimeout( + () => _displayNextItem(results, resultCount, searchTerms, highlightTerms), + 5 + ); + } + // search finished, update title and status message + else _finishSearch(resultCount); +}; +// Helper function used by query() to order search results. +// Each input is an array of [docname, title, anchor, descr, score, filename]. +// Order the results by score (in opposite order of appearance, since the +// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically. +const _orderResultsByScoreThenName = (a, b) => { + const leftScore = a[4]; + const rightScore = b[4]; + if (leftScore === rightScore) { + // same score: sort alphabetically + const leftTitle = a[1].toLowerCase(); + const rightTitle = b[1].toLowerCase(); + if (leftTitle === rightTitle) return 0; + return leftTitle > rightTitle ? -1 : 1; // inverted is intentional + } + return leftScore > rightScore ? 1 : -1; +}; + +/** + * Default splitQuery function. Can be overridden in ``sphinx.search`` with a + * custom function per language. + * + * The regular expression works by splitting the string on consecutive characters + * that are not Unicode letters, numbers, underscores, or emoji characters. + * This is the same as ``\W+`` in Python, preserving the surrogate pair area. + */ +if (typeof splitQuery === "undefined") { + var splitQuery = (query) => query + .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu) + .filter(term => term) // remove remaining empty strings +} + +/** + * Search Module + */ +const Search = { + _index: null, + _queued_query: null, + _pulse_status: -1, + + htmlToText: (htmlString, anchor) => { + const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); + for (const removalQuery of [".headerlink", "script", "style"]) { + htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() }); + } + if (anchor) { + const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`); + if (anchorContent) return anchorContent.textContent; + + console.warn( + `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.` + ); + } + + // if anchor not specified or not found, fall back to main content + const docContent = htmlElement.querySelector('[role="main"]'); + if (docContent) return docContent.textContent; + + console.warn( + "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template." + ); + return ""; + }, + + init: () => { + const query = new URLSearchParams(window.location.search).get("q"); + document + .querySelectorAll('input[name="q"]') + .forEach((el) => (el.value = query)); + if (query) Search.performSearch(query); + }, + + loadIndex: (url) => + (document.body.appendChild(document.createElement("script")).src = url), + + setIndex: (index) => { + Search._index = index; + if (Search._queued_query !== null) { + const query = Search._queued_query; + Search._queued_query = null; + Search.query(query); + } + }, + + hasIndex: () => Search._index !== null, + + deferQuery: (query) => (Search._queued_query = query), + + stopPulse: () => (Search._pulse_status = -1), + + startPulse: () => { + if (Search._pulse_status >= 0) return; + + const pulse = () => { + Search._pulse_status = (Search._pulse_status + 1) % 4; + Search.dots.innerText = ".".repeat(Search._pulse_status); + if (Search._pulse_status >= 0) window.setTimeout(pulse, 500); + }; + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch: (query) => { + // create the required interface elements + const searchText = document.createElement("h2"); + searchText.textContent = _("Searching"); + const searchSummary = document.createElement("p"); + searchSummary.classList.add("search-summary"); + searchSummary.innerText = ""; + const searchList = document.createElement("ul"); + searchList.classList.add("search"); + + const out = document.getElementById("search-results"); + Search.title = out.appendChild(searchText); + Search.dots = Search.title.appendChild(document.createElement("span")); + Search.status = out.appendChild(searchSummary); + Search.output = out.appendChild(searchList); + + const searchProgress = document.getElementById("search-progress"); + // Some themes don't use the search progress node + if (searchProgress) { + searchProgress.innerText = _("Preparing search..."); + } + Search.startPulse(); + + // index already loaded, the browser was quick! + if (Search.hasIndex()) Search.query(query); + else Search.deferQuery(query); + }, + + _parseQuery: (query) => { + // stem the search terms and add them to the correct list + const stemmer = new Stemmer(); + const searchTerms = new Set(); + const excludedTerms = new Set(); + const highlightTerms = new Set(); + const objectTerms = new Set(splitQuery(query.toLowerCase().trim())); + splitQuery(query.trim()).forEach((queryTerm) => { + const queryTermLower = queryTerm.toLowerCase(); + + // maybe skip this "word" + // stopwords array is from language_data.js + if ( + stopwords.indexOf(queryTermLower) !== -1 || + queryTerm.match(/^\d+$/) + ) + return; + + // stem the word + let word = stemmer.stemWord(queryTermLower); + // select the correct list + if (word[0] === "-") excludedTerms.add(word.substr(1)); + else { + searchTerms.add(word); + highlightTerms.add(queryTermLower); + } + }); + + if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js + localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" ")) + } + + // console.debug("SEARCH: searching for:"); + // console.info("required: ", [...searchTerms]); + // console.info("excluded: ", [...excludedTerms]); + + return [query, searchTerms, excludedTerms, highlightTerms, objectTerms]; + }, + + /** + * execute search (requires search index to be loaded) + */ + _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + const allTitles = Search._index.alltitles; + const indexEntries = Search._index.indexentries; + + // Collect multiple result groups to be sorted separately and then ordered. + // Each is an array of [docname, title, anchor, descr, score, filename]. + const normalResults = []; + const nonMainIndexResults = []; + + _removeChildren(document.getElementById("search-progress")); + + const queryLower = query.toLowerCase().trim(); + for (const [title, foundTitles] of Object.entries(allTitles)) { + if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) { + for (const [file, id] of foundTitles) { + const score = Math.round(Scorer.title * queryLower.length / title.length); + const boost = titles[file] === title ? 1 : 0; // add a boost for document titles + normalResults.push([ + docNames[file], + titles[file] !== title ? `${titles[file]} > ${title}` : title, + id !== null ? "#" + id : "", + null, + score + boost, + filenames[file], + ]); + } + } + } + + // search for explicit entries in index directives + for (const [entry, foundEntries] of Object.entries(indexEntries)) { + if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { + for (const [file, id, isMain] of foundEntries) { + const score = Math.round(100 * queryLower.length / entry.length); + const result = [ + docNames[file], + titles[file], + id ? "#" + id : "", + null, + score, + filenames[file], + ]; + if (isMain) { + normalResults.push(result); + } else { + nonMainIndexResults.push(result); + } + } + } + } + + // lookup as object + objectTerms.forEach((term) => + normalResults.push(...Search.performObjectSearch(term, objectTerms)) + ); + + // lookup as search terms in fulltext + normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms)); + + // let the scorer override scores with a custom scoring function + if (Scorer.score) { + normalResults.forEach((item) => (item[4] = Scorer.score(item))); + nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item))); + } + + // Sort each group of results by score and then alphabetically by name. + normalResults.sort(_orderResultsByScoreThenName); + nonMainIndexResults.sort(_orderResultsByScoreThenName); + + // Combine the result groups in (reverse) order. + // Non-main index entries are typically arbitrary cross-references, + // so display them after other results. + let results = [...nonMainIndexResults, ...normalResults]; + + // remove duplicate search results + // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept + let seen = new Set(); + results = results.reverse().reduce((acc, result) => { + let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(','); + if (!seen.has(resultStr)) { + acc.push(result); + seen.add(resultStr); + } + return acc; + }, []); + + return results.reverse(); + }, + + query: (query) => { + const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query); + const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms); + + // for debugging + //Search.lastresults = results.slice(); // a copy + // console.info("search results:", Search.lastresults); + + // print the results + _displayNextItem(results, results.length, searchTerms, highlightTerms); + }, + + /** + * search for object names + */ + performObjectSearch: (object, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const objects = Search._index.objects; + const objNames = Search._index.objnames; + const titles = Search._index.titles; + + const results = []; + + const objectSearchCallback = (prefix, match) => { + const name = match[4] + const fullname = (prefix ? prefix + "." : "") + name; + const fullnameLower = fullname.toLowerCase(); + if (fullnameLower.indexOf(object) < 0) return; + + let score = 0; + const parts = fullnameLower.split("."); + + // check for different match types: exact matches of full name or + // "last name" (i.e. last dotted part) + if (fullnameLower === object || parts.slice(-1)[0] === object) + score += Scorer.objNameMatch; + else if (parts.slice(-1)[0].indexOf(object) > -1) + score += Scorer.objPartialMatch; // matches in last name + + const objName = objNames[match[1]][2]; + const title = titles[match[0]]; + + // If more than one term searched for, we require other words to be + // found in the name/title/description + const otherTerms = new Set(objectTerms); + otherTerms.delete(object); + if (otherTerms.size > 0) { + const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase(); + if ( + [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0) + ) + return; + } + + let anchor = match[3]; + if (anchor === "") anchor = fullname; + else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname; + + const descr = objName + _(", in ") + title; + + // add custom score for some objects according to scorer + if (Scorer.objPrio.hasOwnProperty(match[2])) + score += Scorer.objPrio[match[2]]; + else score += Scorer.objPrioDefault; + + results.push([ + docNames[match[0]], + fullname, + "#" + anchor, + descr, + score, + filenames[match[0]], + ]); + }; + Object.keys(objects).forEach((prefix) => + objects[prefix].forEach((array) => + objectSearchCallback(prefix, array) + ) + ); + return results; + }, + + /** + * search for full-text terms in the index + */ + performTermsSearch: (searchTerms, excludedTerms) => { + // prepare search + const terms = Search._index.terms; + const titleTerms = Search._index.titleterms; + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + + const scoreMap = new Map(); + const fileMap = new Map(); + + // perform the search on the required terms + searchTerms.forEach((word) => { + const files = []; + const arr = [ + { files: terms[word], score: Scorer.term }, + { files: titleTerms[word], score: Scorer.title }, + ]; + // add support for partial matches + if (word.length > 2) { + const escapedWord = _escapeRegExp(word); + if (!terms.hasOwnProperty(word)) { + Object.keys(terms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: terms[term], score: Scorer.partialTerm }); + }); + } + if (!titleTerms.hasOwnProperty(word)) { + Object.keys(titleTerms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: titleTerms[term], score: Scorer.partialTitle }); + }); + } + } + + // no match but word was a required one + if (arr.every((record) => record.files === undefined)) return; + + // found search word in contents + arr.forEach((record) => { + if (record.files === undefined) return; + + let recordFiles = record.files; + if (recordFiles.length === undefined) recordFiles = [recordFiles]; + files.push(...recordFiles); + + // set score for the word in each file + recordFiles.forEach((file) => { + if (!scoreMap.has(file)) scoreMap.set(file, {}); + scoreMap.get(file)[word] = record.score; + }); + }); + + // create the mapping + files.forEach((file) => { + if (!fileMap.has(file)) fileMap.set(file, [word]); + else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word); + }); + }); + + // now check if the files don't contain excluded terms + const results = []; + for (const [file, wordList] of fileMap) { + // check if all requirements are matched + + // as search terms with length < 3 are discarded + const filteredTermCount = [...searchTerms].filter( + (term) => term.length > 2 + ).length; + if ( + wordList.length !== searchTerms.size && + wordList.length !== filteredTermCount + ) + continue; + + // ensure that none of the excluded terms is in the search result + if ( + [...excludedTerms].some( + (term) => + terms[term] === file || + titleTerms[term] === file || + (terms[term] || []).includes(file) || + (titleTerms[term] || []).includes(file) + ) + ) + break; + + // select one (max) score for the file. + const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w])); + // add result to the result list + results.push([ + docNames[file], + titles[file], + "", + null, + score, + filenames[file], + ]); + } + return results; + }, + + /** + * helper function to return a node containing the + * search summary for a given text. keywords is a list + * of stemmed words. + */ + makeSearchSummary: (htmlText, keywords, anchor) => { + const text = Search.htmlToText(htmlText, anchor); + if (text === "") return null; + + const textLower = text.toLowerCase(); + const actualStartPosition = [...keywords] + .map((k) => textLower.indexOf(k.toLowerCase())) + .filter((i) => i > -1) + .slice(-1)[0]; + const startWithContext = Math.max(actualStartPosition - 120, 0); + + const top = startWithContext === 0 ? "" : "..."; + const tail = startWithContext + 240 < text.length ? "..." : ""; + + let summary = document.createElement("p"); + summary.classList.add("context"); + summary.textContent = top + text.substr(startWithContext, 240).trim() + tail; + + return summary; + }, +}; + +_ready(Search.init); diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js new file mode 100644 index 0000000..8a96c69 --- /dev/null +++ b/_static/sphinx_highlight.js @@ -0,0 +1,154 @@ +/* Highlighting utilities for Sphinx HTML documentation. */ +"use strict"; + +const SPHINX_HIGHLIGHT_ENABLED = true + +/** + * highlight a given string on a node by wrapping it in + * span elements with the given class name. + */ +const _highlight = (node, addItems, text, className) => { + if (node.nodeType === Node.TEXT_NODE) { + const val = node.nodeValue; + const parent = node.parentNode; + const pos = val.toLowerCase().indexOf(text); + if ( + pos >= 0 && + !parent.classList.contains(className) && + !parent.classList.contains("nohighlight") + ) { + let span; + + const closestNode = parent.closest("body, svg, foreignObject"); + const isInSVG = closestNode && closestNode.matches("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.classList.add(className); + } + + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + const rest = document.createTextNode(val.substr(pos + text.length)); + parent.insertBefore( + span, + parent.insertBefore( + rest, + node.nextSibling + ) + ); + node.nodeValue = val.substr(0, pos); + /* There may be more occurrences of search term in this node. So call this + * function recursively on the remaining fragment. + */ + _highlight(rest, addItems, text, className); + + if (isInSVG) { + const rect = document.createElementNS( + "http://www.w3.org/2000/svg", + "rect" + ); + const bbox = parent.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute("class", className); + addItems.push({ parent: parent, target: rect }); + } + } + } else if (node.matches && !node.matches("button, select, textarea")) { + node.childNodes.forEach((el) => _highlight(el, addItems, text, className)); + } +}; +const _highlightText = (thisNode, text, className) => { + let addItems = []; + _highlight(thisNode, addItems, text, className); + addItems.forEach((obj) => + obj.parent.insertAdjacentElement("beforebegin", obj.target) + ); +}; + +/** + * Small JavaScript module for the documentation. + */ +const SphinxHighlight = { + + /** + * highlight the search words provided in localstorage in the text + */ + highlightSearchWords: () => { + if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight + + // get and clear terms from localstorage + const url = new URL(window.location); + const highlight = + localStorage.getItem("sphinx_highlight_terms") + || url.searchParams.get("highlight") + || ""; + localStorage.removeItem("sphinx_highlight_terms") + url.searchParams.delete("highlight"); + window.history.replaceState({}, "", url); + + // get individual terms from highlight string + const terms = highlight.toLowerCase().split(/\s+/).filter(x => x); + if (terms.length === 0) return; // nothing to do + + // There should never be more than one element matching "div.body" + const divBody = document.querySelectorAll("div.body"); + const body = divBody.length ? divBody[0] : document.querySelector("body"); + window.setTimeout(() => { + terms.forEach((term) => _highlightText(body, term, "highlighted")); + }, 10); + + const searchBox = document.getElementById("searchbox"); + if (searchBox === null) return; + searchBox.appendChild( + document + .createRange() + .createContextualFragment( + '

' + + '' + + _("Hide Search Matches") + + "

" + ) + ); + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords: () => { + document + .querySelectorAll("#searchbox .highlight-link") + .forEach((el) => el.remove()); + document + .querySelectorAll("span.highlighted") + .forEach((el) => el.classList.remove("highlighted")); + localStorage.removeItem("sphinx_highlight_terms") + }, + + initEscapeListener: () => { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return; + if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) { + SphinxHighlight.hideSearchWords(); + event.preventDefault(); + } + }); + }, +}; + +_ready(() => { + /* Do not call highlightSearchWords() when we are on the search page. + * It will highlight words from the *previous* search query. + */ + if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords(); + SphinxHighlight.initEscapeListener(); +}); diff --git a/api_reference.html b/api_reference.html new file mode 100644 index 0000000..e4e90ba --- /dev/null +++ b/api_reference.html @@ -0,0 +1,233 @@ + + + + + + + API Reference — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

API Reference

+

This section provides a detailed overview of the available methods and their usage in pyworldatlas. Each method is designed to retrieve specific data about countries, with simple and intuitive interfaces.

+
+

Note

+

Throughout the examples, we will assume pyworldatlas has been imported as pwa.

+
+
import pyworldatlas as pwa
+atlas = pwa.Atlas()
+
+
+
+

Classes and Methods

+
+
+

Atlas Class

+

The Atlas class is the main interface for accessing country data. It provides several methods to retrieve specific country profiles, lists of countries, and other data.

+
+
+

get_country_profile

+

Fetches detailed profile information for a specific country.

+

Parameters: +- name (str) – The name or ISO 3166 Alpha-2 code of the country.

+

Returns: +- dict – A dictionary containing detailed information about the country’s official names, capital, largest city, area, population, government, and more.

+

Example:

+
profile = atlas.get_country_profile("France")
+print(profile)
+
+
+

Example Output:

+
{
+    'capital': {
+        'name': 'Paris',
+        'coordinates_degree_east': 2.3522,
+        'coordinates_degree_north': 48.8566,
+        'is_largest_city': True,
+    },
+    'driving_side': 'Right',
+    'calling_code': '+33',
+    'iso_3166_code': 'FR',
+    'internet_tld': '.fr',
+}
+
+
+
+
+

get_countries (WIP)

+

Fetches a list of countries, optionally filtered by continents or population/GDP ranges.

+

Parameters:

+
    +

  • continents (list of str, optional) – The continents to filter by (e.g., ["Asia", "Europe"]).

    • +

  • min_population (float, optional) – The minimum population to filter by.

    • +

  • max_population (float, optional) – The maximum population to filter by.

    • +

  • min_gdp (float, optional) – The minimum GDP to filter by.

    • +

  • max_gdp (float, optional) – The maximum GDP to filter by.

    • +
+

Returns:

+
    +

  • list of str – A list of country names that match the criteria.

    • +
+

Example:

+
countries = atlas.get_countries(continents=["Europe"], min_population=1000000)
+print(countries)
+
+
+

Example Output:

+
['France', 'Germany', 'Italy', 'Spain']
+
+
+
+
+

get_progress

+

Returns the percentage of data that the package currently contains.

+

Returns: +- float – The percentage of the dataset that is complete.

+

Example:

+
progress = atlas.get_progress()
+
+
+

Example Output:

+
"Current data size: 3, Total data size: 285, Progress: 1.1%"
+
+
+
+
+

Error Handling

+

pyworldatlas provides custom exceptions to help identify and handle errors efficiently.

+
+
+

CountryNotFoundError

+

Raised when a country is not found in the dataset.

+

Example:

+
try:
+    profile = atlas.get_country_profile("Nonexistentland")
+except pwa.Atlas.CountryNotFoundError:
+    print("Country not found.")
+
+
+
+
+

Additional Features

+

pyworldatlas is continually evolving. Refer to the Roadmap for upcoming features and improvements.

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/changelog.html b/changelog.html new file mode 100644 index 0000000..b1cd414 --- /dev/null +++ b/changelog.html @@ -0,0 +1,171 @@ + + + + + + + Changelog — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Changelog

+
+

0.0.7 - 2024-08-24

+

Added +- Polished documentation, added database download and country data pages. +- Finished the get_country_profile method, now it is a lot more refined and better. +- Database is now shipped as a gzip and then decompressed for the package to use. +- Added basic tests (need to be expanded). +- Incorporated tox, to be able to test in different Python versions and tests behave accordingly. +- Bumped the requirement for the package to Python 3.8+ (support for Python 3.7 or earlier is now deprecated). +- Added the –version cli command for the package. +- Methods are now fragmented to facilitate testing. +- Many smaller other fixes and enhancements. +- Databases are now de-fragmented prior to final release.

+
+
+

0.0.6 - 2024-08-20

+

Added +- Added Algeria country data. +- Ensured uniqueness for languages in the dataset.

+
+
+

0.0.5 - 2024-08-19

+

Added +- Completed country data for Albania. +- Added support for Daylight Savings Time (DST).

+

Fixed +- Updated largest city and coordinates for each country model.

+
+
+

0.0.4 - 2024-08-19

+

Added +- Introduced the Continent model following the 7-continent approach. +- Added the needs_updated and last_updated fields to the country model. +- Introduced office terms for prime ministers, presidents, and other leaders.

+
+
+

0.0.3 - 2024-08-16

+

Added +- Initial base model. +- Added data for Afghanistan (0.35% completion). +- Added official country names for stronger profiles (e.g., “Albania” -> “Republic of Albania”). +- Added Wikipedia revision ID for each country to track data sources.

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/contributing.html b/contributing.html new file mode 100644 index 0000000..dff52d8 --- /dev/null +++ b/contributing.html @@ -0,0 +1,124 @@ + + + + + + + Contributing — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Contributing

+

Thank you for your interest in contributing to pyworldatlas.

+

At this time, pyworldatlas is a personal project, and I am not accepting any external contributions. The goal is to fully complete the package before opening it up to collaboration.

+

Once the project reaches a stable and complete state, I will provide detailed guidelines for contributing, including coding standards, issue reporting, and feature requests.

+

Stay tuned for updates! In the meantime, feel free to use the package and provide feedback via the GitHub Issue Tracker.

+

Thank you for your understanding!

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/country_data.html b/country_data.html new file mode 100644 index 0000000..76a5b4c --- /dev/null +++ b/country_data.html @@ -0,0 +1,144 @@ + + + + + + + Country Data — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Country Data

+

This page lists all the countries currently available in the pyworldatlas database. If a country is shown below, it indicates that its information is present in the database. Otherwise, the country is yet to be added.

+ + ++++ + + + + + + + + + + + + + + + + +
Countries in pyworldatlas Database

Country

ISO 3166 CODE

Afghanistan

AF

Albania

AL

Algeria

DZ

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/database_download.html b/database_download.html new file mode 100644 index 0000000..4c880c2 --- /dev/null +++ b/database_download.html @@ -0,0 +1,172 @@ + + + + + + + Database Download — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Database Download

+

The pyworldatlas database is available for download. This database contains all the current information compiled about the countries in the package.

+
+

Note

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The database is included by default when you install pyworldatlas, so downloading it manually is optional unless you want to access it separately.

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+ +
+

File Details

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  • Uncompressed:

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    • Size: 288 KB

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    • SHA-256 Hash:

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      2e8b9594da57e0e80f0a692530136dffb06d631375a159ea1bd242642d837760

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  • Compressed (GZIP):

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    • Size: 10 KB

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    • SHA-256 Hash:

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      1fd820212aa6cbc3f07ab32c3a4db3b7f683c1101a80a7649ddcf2fdf0aa7bd0

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Verifying the File

+

To ensure the integrity of the downloaded database file, you can verify the SHA-256 hash. This can be done with the following command, depending on your operating system:

+

Linux/Mac:

+
sha256sum worldatlas.sqlite3
+
+
+

Windows (PowerShell):

+
Get-FileHash worldatlas.sqlite3 -Algorithm SHA256
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+ + +
+
+ +
+
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+ + + + \ No newline at end of file diff --git a/examples.html b/examples.html new file mode 100644 index 0000000..b3390f5 --- /dev/null +++ b/examples.html @@ -0,0 +1,114 @@ + + + + + + + Examples — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + +
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+ +
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+ +
+

Examples

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+ + +
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+ +
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+ + + + \ No newline at end of file diff --git a/faq.html b/faq.html new file mode 100644 index 0000000..5f4b56e --- /dev/null +++ b/faq.html @@ -0,0 +1,162 @@ + + + + + + + FAQ — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
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+ +
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FAQ

+

Below are some frequently asked questions about pyworldatlas. If you have any additional questions, feel free to check the GitHub Issue Tracker.

+
+

Does pyworldatlas require an internet connection to work?

+

No, pyworldatlas ships with a built-in SQLite database called worldatlas.sqlite3, so all the data is stored locally. This ensures that you can use the package without needing an internet connection.

+
+
+

How does pyworldatlas ensure political neutrality?

+

The data compiled by pyworldatlas aims to be politically neutral. I rely on publicly available sources and focus on objective data like official country names, population, geography, and economic statistics. I avoid any subjective or political opinions.

+
+
+

What is the minimum Python version required to use pyworldatlas?

+

pyworldatlas requires Python 3.8 or higher to work properly. However, Python 3.9 is best for maximum performance.

+
+
+

Does pyworldatlas depend on any external libraries?

+

No, pyworldatlas does not have any external dependencies. It is designed to be lightweight, with everything handled internally using Python’s standard libraries, such as SQLite.

+
+
+

What data can I get from pyworldatlas?

+

pyworldatlas provides a wide range of data for each country, including official names, population, capital, largest city, GDP, government structure, and more. For a full list of available data, refer to the API Reference.

+
+
+

Where does pyworldatlas source its data from?

+

The data in pyworldatlas is manually compiled from publicly available resources, primarily sourced from the List of Countries on Simple Wikipedia. The goal is to ensure that the information provided is accurate and up to date.

+
+
+

How can I verify the source of the data for each country?

+

Each country’s profile in pyworldatlas includes the main Wikipedia article revision ID from which the information was sourced. This ensures transparency and allows users to verify the exact version of the data used. A method to quickly retrieve the revision ID will be available soon for convenience.

+
+
+

How do I report an issue or suggest a feature?

+

If you encounter any issues or have suggestions for new features, please visit our GitHub Issue Tracker and create a new issue. Contributions are always welcome!

+
+
+ + +
+
+ +
+
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+ + + + \ No newline at end of file diff --git a/genindex.html b/genindex.html new file mode 100644 index 0000000..76461fa --- /dev/null +++ b/genindex.html @@ -0,0 +1,117 @@ + + + + + + Index — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + +
+ + +
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  • Index
    • +
  • +
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+ + +

Index

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+ + + + \ No newline at end of file diff --git a/getting_started.html b/getting_started.html new file mode 100644 index 0000000..7fd1a2b --- /dev/null +++ b/getting_started.html @@ -0,0 +1,179 @@ + + + + + + + Getting Started — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
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+ +
+

Getting Started

+

This guide will help you get up and running with pyworldatlas. In just a few steps, you’ll be able to access comprehensive data about any country using simple method calls.

+
+

Prerequisites

+

Before you begin, ensure you have installed pyworldatlas. If you haven’t already, check out the Installation guide.

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+
+

Basic Usage

+

Once installed, using pyworldatlas is straightforward. The package provides a simple interface to retrieve detailed information about countries. Below is an example to get you started.

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+
+

Example: Fetching a Country’s Profile

+

To begin, import the package and create an instance of the Atlas class. Then, you can use the get_country_profile method to retrieve information about a specific country.

+

Here’s a basic example:

+
import pyworldatlas as pwa
+
+atlas = pwa.Atlas()
+
+# Fetch the profile of a country by name
+profile = atlas.get_country_profile("United States")
+
+# Display the profile information
+print(profile)
+
+
+

This will return a dictionary containing detailed information about the specified country, including its capital, largest city, driving side, and more.

+
+
+

Example Output

+

The output will look something like this:

+
{
+    'capital': {
+        'name': 'Washington, D.C.',
+        'coordinates_degree_east': -77.0369,
+        'coordinates_degree_north': 38.9072,
+        'is_largest_city': False,
+    },
+    'largest_city': {
+        'name': 'New York City',
+        'coordinates_degree_east': -74.0060,
+        'coordinates_degree_north': 40.7128,
+    },
+    'driving_side': 'Right',
+    'calling_code': '+1',
+    'iso_3166_code': 'US',
+    'internet_tld': '.us',
+}
+
+
+
+
+

What Next?

+

With this foundation, you can start exploring other features of pyworldatlas. Refer to the API Reference for a comprehensive list of available methods and options.

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 0000000..5b69e75 --- /dev/null +++ b/index.html @@ -0,0 +1,220 @@ + + + + + + + Welcome to pyworldatlas’s Documentation — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + +
+ + +
+ +
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+
+ +
+
+
+
+ +
+

Welcome to pyworldatlas’s Documentation

+

pyworldatlas is a Python package that compiles detailed data about every country, offering easy-to-use methods for retrieving country profiles, statistics, and more.

+
+

Key Features

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    +

  • Extensive country data, including official names, population, geography, government details, GDP, and more.

    • +

  • Lightweight and efficient, ensuring fast access to country information.

    • +

  • No external dependencies, making it easy to install and integrate into any Python project.

    • +
+

Get started by following the instructions below.

+
+

Contents:

+ +
+
+ +
+

Contributing

+

Contributions are welcome! Please see the Contributing Guide for more details.

+
+
+

License

+

pyworldatlas is licensed under the MIT License. See the License for more information.

+
+
+ + +
+
+ +
+
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+
+ + + + \ No newline at end of file diff --git a/installation.html b/installation.html new file mode 100644 index 0000000..540614b --- /dev/null +++ b/installation.html @@ -0,0 +1,159 @@ + + + + + + + Installation — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
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+ +
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+
+ +
+

Installation

+

To start using pyworldatlas, follow these simple steps to get the package installed on your system.

+
+

Requirements

+
    +

  • Python 3.8+ is required to run pyworldatlas.

    • +

  • For maximum performance, Python 3.9 is recommended.

    • +
+
+
+

Installing pyworldatlas

+

To install pyworldatlas, simply run the following command using pip:

+
pip install pyworldatlas
+
+
+

This will automatically install pyworldatlas and make it available for use in your Python environment.

+
+
+

Verifying Installation

+

To verify that pyworldatlas has been successfully installed, you can check the version using the command line:

+
pyworldatlas --version
+
+
+

Alternatively, you can verify it in your Python interpreter:

+
import pyworldatlas
+
+print(pyworldatlas.__version__)
+
+
+

Either method should display the current version of pyworldatlas, confirming that the installation was successful.

+
+
+

Next Steps

+

Once installed, proceed to the Getting Started guide to learn how to use pyworldatlas.

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+
+ + +
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+ + + + \ No newline at end of file diff --git a/introduction.html b/introduction.html new file mode 100644 index 0000000..9ec6ff9 --- /dev/null +++ b/introduction.html @@ -0,0 +1,156 @@ + + + + + + + Introduction — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Introduction

+

Welcome to pyworldatlas, a Python package designed to provide comprehensive data about every country in the world. Whether you are building an application that requires detailed country profiles, or you simply need to access accurate and up-to-date information on global statistics, pyworldatlas has you covered.

+
+

What is pyworldatlas?

+

pyworldatlas is a lightweight, efficient, and easy-to-use Python package that compiles a wide range of data on countries. The package is designed with simplicity in mind, offering methods to retrieve detailed country profiles that include:

+
    +

  • Official names

    • +

  • Population statistics

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  • Geographic information

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  • Government details

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  • Economic data (GDP, Gini Index)

    • +

  • Ethnic groups, religions, and languages

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  • Timezones, currencies, and much more

    • +
+
+
+

Key Benefits

+
    +

  • No external dependencies: Easily install and use without any hassle.

    • +

  • Lightweight and fast: Minimal footprint with efficient performance.

    • +

  • Comprehensive: Covers a wide array of country-related data in a single package.

    • +

  • Easy to integrate: Works seamlessly in any Python project, whether you’re building applications, performing data analysis, or just exploring global data.

    • +
+
+
+

Who is it for?

+

pyworldatlas is designed for developers, data scientists, and anyone interested in accessing detailed country-level data for their projects. Whether you’re building a web application, running data analysis, or working on personal projects, pyworldatlas offers a flexible and reliable tool for working with global data.

+
+
+

Next Steps

+

To start using pyworldatlas, follow the Installation guide or jump right into the Getting Started page to begin working with the package.

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/license.html b/license.html new file mode 100644 index 0000000..d797665 --- /dev/null +++ b/license.html @@ -0,0 +1,141 @@ + + + + + + + License — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + +
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+ +
+
+
+ +
+
+
+
+ +
+

License

+

Let’s throw the MIT license on it because I guess having a license page looks good? 😄

+

That being said, this project is licensed under the MIT License, meaning you’re free to use, modify, and distribute the code as you wish, as long as attribution is given. For the serious stuff, see below.

+
+

MIT License

+

Copyright (c) 2024 Jorge Caridad

+

Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the “Software”), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions:

+

The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software.

+

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE.

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+ + + + \ No newline at end of file diff --git a/objects.inv b/objects.inv new file mode 100644 index 0000000..e7768ca --- /dev/null +++ b/objects.inv @@ -0,0 +1,5 @@ +# Sphinx inventory version 2 +# Project: pyworldatlas +# Version: +# The remainder of this file is compressed using zlib. +xڅAN0E>/P$**P%B`Miɱd5'ĦH2ohQ ;ir7V{~Ht4ɸO%F{۝FRxt21TS-C?Z56]6||9Pm9ԯA w/ \ No newline at end of file diff --git a/roadmap.html b/roadmap.html new file mode 100644 index 0000000..51cbec2 --- /dev/null +++ b/roadmap.html @@ -0,0 +1,149 @@ + + + + + + + Roadmap — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
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+ +
+
+
+
+ +
+

Roadmap

+

The development of pyworldatlas is ongoing, with a focus on building a comprehensive and reliable package of country data. Below is the current plan for the package’s growth.

+
+

Data Collection Approach

+

The data collection for pyworldatlas is done manually. This process is not automated because I want to take the time to personally learn about each country. This ensures that the data is carefully curated and accurate while providing me with a deeper understanding of global information.

+
+
+

Goals and Focus Areas

+

Data Collection +- Ongoing: Adding new countries to the database. The aim is to add around 5 countries per week, though this may vary depending on the complexity and availability of data. Each country requires careful compilation, as information does not always follow a consistent format. +- Target: Aim for steady progress toward complete global coverage.

+

Package Core Enhancements +- Ongoing: Improve and refine the core methods for retrieving and processing country data. +- Short-Term: Implement a quick access method for retrieving the Wikipedia article revision ID for each country. +- Mid-Term: Further optimize performance, especially regarding database queries.

+

Progress Visualization +- Planned: Introduce a visual representation of package progress, such as a bar or graph comparing the expected number of countries to be added versus the actual number of countries in the database. This will be updated periodically to reflect the progress.

+
+
+

Future Plans

+

As the package evolves, there may be opportunities to introduce additional features and optimizations. However, the current priority remains: +1. Completing the country dataset. +2. Improving the performance and usability of the package.

+

Once the dataset is nearing completion, additional goals such as opening the package for contributions and expanding the documentation will be considered.

+

Thank you for following the development of pyworldatlas. Stay tuned for updates!

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/search.html b/search.html new file mode 100644 index 0000000..37a5d3b --- /dev/null +++ b/search.html @@ -0,0 +1,132 @@ + + + + + + Search — pyworldatlas 0.0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
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    +
    • +
  • Search
    • +
  • +
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+ + + + +
+ +
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+ +
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+ + + + + + + + + \ No newline at end of file diff --git a/searchindex.js b/searchindex.js new file mode 100644 index 0000000..b563dc3 --- /dev/null +++ b/searchindex.js @@ -0,0 +1 @@ +Search.setIndex({"alltitles": {"0.0.3 - 2024-08-16": [[1, "id5"]], "0.0.4 - 2024-08-19": [[1, "id4"]], "0.0.5 - 2024-08-19": [[1, "id3"]], "0.0.6 - 2024-08-20": [[1, "id2"]], "0.0.7 - 2024-08-24": [[1, "id1"]], "API Reference": [[0, null]], "Additional Features": [[0, "additional-features"]], "Atlas Class": [[0, "atlas-class"]], "Basic Usage": [[6, "basic-usage"]], "Changelog": [[1, null]], "Classes and Methods": [[0, "classes-and-methods"]], "Contents:": [[7, null]], "Contributing": [[2, null], [7, "contributing"]], "Countries in pyworldatlas Database": [[3, "id1"]], "Country Data": [[3, null]], "CountryNotFoundError": [[0, "countrynotfounderror"]], "Data Collection Approach": [[11, "data-collection-approach"]], "Database Download": [[4, null]], "Does pyworldatlas depend on any external libraries?": 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pyworldatlas": [[8, "installing-pyworldatlas"]], "Introduction": [[9, null]], "Key Benefits": [[9, "key-benefits"]], "Key Features": [[7, "key-features"]], "License": [[7, "license"], [10, null]], "MIT License": [[10, "mit-license"]], "Next Steps": [[8, "next-steps"], [9, "next-steps"]], "Prerequisites": [[6, "prerequisites"]], "Quick Links": [[7, "quick-links"]], "Requirements": [[8, "requirements"]], "Roadmap": [[11, null]], "Verifying Installation": [[8, "verifying-installation"]], "Verifying the File": [[4, "verifying-the-file"]], "Welcome to pyworldatlas\u2019s Documentation": [[7, null]], "What Next?": [[6, "what-next"]], "What data can I get from pyworldatlas?": [[5, "what-data-can-i-get-from-pyworldatlas"]], "What is pyworldatlas?": [[9, "what-is-pyworldatlas"]], "What is the minimum Python version required to use pyworldatlas?": [[5, "what-is-the-minimum-python-version-required-to-use-pyworldatlas"]], "Where does pyworldatlas source its data from?": [[5, "where-does-pyworldatlas-source-its-data-from"]], "Who is it for?": [[9, "who-is-it-for"]], "get_countries (WIP)": [[0, "get-countries-wip"]], "get_country_profile": [[0, "get-country-profile"]], "get_progress": [[0, "get-progress"]]}, "docnames": ["api_reference", "changelog", "contributing", "country_data", "database_download", "faq", "getting_started", "index", "installation", "introduction", "license", "roadmap"], "envversion": {"sphinx": 62, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2}, "filenames": ["api_reference.rst", "changelog.rst", "contributing.rst", "country_data.rst", "database_download.rst", "faq.rst", "getting_started.rst", "index.rst", "installation.rst", "introduction.rst", "license.rst", "roadmap.rst"], "indexentries": {}, "objects": {}, 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User Guide

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