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    "# Overview Usecases"
   ]
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    "The following are several use-case examples that demonstrate the utilization of the Text-Fabric dataset. While Text-Fabric,  which is implemented as a Python package, can be employed in any stand-alone Python script, it is commonly utilized from within a [Jupyter Notebook](https://jupyter.org) — an interactive web-based computational environment enabling users to create and share documents with live code, visualizations, and text, thus facilitating the inclusion of explanatory notes alongside queries and results obtained from Text-Fabric. The Notebooks are grouped into specific focus areas and topics, albeit somewhat arbitrarily.\n",
    "\n",
    "**Please note that some of these notebooks are still under development.**"
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    "## Basic / general\n",
    "\n",
    "* [Load Text-Fabric in Jupyter notebook](load_text_fabric.ipynb)\n",
    "* [Start Text-Fabric browser in Jupyter notebook](https://nbviewer.org/github/tonyjurg/Nestle1904GBI/blob/main/docs/usecases/starting_tf_browser.ipynb)\n",
    "* [Print a specific verse](print_verse.ipynb)\n",
    "* [Some system statistics](Some_system_statistics.ipynb)\n",
    "* [Some corpus statistics](Some_corpus_statistics.ipynb)\n",
    "\n",
    "## Grammatical\n",
    "\n",
    "* [Differences between formal and functional tags](formal_versus_functional_tag.ipynb)\n",
    "* [The particles μέν and δέ](particles_men_and_de.ipynb)\n",
    "* [The use of μονογενής](use_of_monogenes.ipynb)\n",
    "* [The use of προσκυνέω](use_of_proskyneo.ipynb)\n",
    "* [Incongruenct adverb and noun](incongruent_adverb_noun.ipynb)\n",
    "* [Pronominal redundancy](pronominal_redundancy.ipynb)\n",
    "\n",
    "## Syntactical \n",
    "\n",
    "* [Genitive objectivus or subjectivus](genitive_objectivus_or_subjectivus.ipynb)\n",
    "* [The Granville Sharp rule](Granville_Sharp_rule.ipynb)\n",
    "* [Articulated proper nouns](articulated_proper_nouns.ipynb)\n",
    "* [Constituents order and phrase structure](constituents_order_and_phrase_structure.ipynb)\n",
    "* [Repetition of nouns](repetition_of_nouns.ipynb)"
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