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Add missing meta descriptions (#35)
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source/comparison.txt

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.. meta::
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:keywords: PyMongo, equivalence
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:description: Compare the differences between PyMongoArrow and PyMongo, focusing on data reading and writing, BSON type support, and performance benchmarks.
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In this guide, you can learn about the differences between {+driver-short+} and the
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PyMongo driver. This guide assumes familiarity with basic :driver:`PyMongo

source/data-types.txt

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.. meta::
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:keywords: support, conversions
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:description: Explore PyMongoArrow's support for various BSON data types, including embedded arrays and documents, and learn about type identifiers and extension types for Arrow and Pandas.
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{+driver-short+} supports a majority of the BSON types.
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Because Arrow and Polars provide first-class support for Lists and Structs,

source/faq.txt

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.. meta::
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:keywords: help, troubleshoot
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:description: Find solutions to common errors encountered when using PyMongoArrow, such as missing module or undefined symbol errors.
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This page contains frequently asked questions and their answers.
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source/index.txt

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.. meta::
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:keywords: home, about
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:description: Explore PyMongoArrow, a PyMongo extension for loading MongoDB query results as Apache Arrow tables, NumPy arrays, and Pandas or Polars DataFrames.
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.. toctree::
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source/installation.txt

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.. meta::
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:keywords: setup, download, update
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:description: Learn how to install and upgrade PyMongoArrow using pip, conda, or from source, and understand its system and Python compatibility requirements.
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In this guide, you can learn how to install and upgrade {+driver-short+}.
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source/previous-versions.txt

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.. meta::
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:keywords: old, backwards, downgrade, upgrade
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:description: Access documentation for previous versions of PyMongoArrow, including versions 1.2, 1.1, and 1.0.
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The following links direct you to documentation for previous versions of {+driver-short+}.
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source/quick-start.txt

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.. meta::
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:keywords: tutorial, introduction, setup, begin
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:description: Explore how to use PyMongoArrow for data manipulation in MongoDB, including inserting, querying, and writing data to various formats like Parquet and CSV.
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This tutorial is intended as an introduction to working with
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**{+driver-short+}**. The tutorial assumes the reader is familiar with basic

source/schemas.txt

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.. meta::
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:keywords: pandas, numpy, flatten
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:description: Explore how to use PyMongoArrow schemas for handling nested data and projections in MongoDB operations with Python.
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This guide shows examples of how to use PyMongoArrow schemas in common situations.
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source/whats-new.txt

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.. meta::
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:keywords: change, update, upgrade, compatible, backwards
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:description: Discover the latest updates in PyMongoArrow, including new support for PyArrow 18.0, Python 3.13, and enhancements to prevent data loss and segmentation faults.
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Changes in Version 1.6.0
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------------------------

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