#!/usr/bin/env python # coding: utf-8 # # TUTORIAL # # Example use-cases of this Text-Fabric dataset # # 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. # # **Please note that some of these notebooks are still under development.** # # ## Basic / general # # * [Load Text-Fabric in Jupyter notebook](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/tutorial/usecases/load_text_fabric.ipynb) # * [Print a specific verse](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/print_verse.ipynb) # * [Some system statistics](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/Some_system_statistics.ipynb) # * [Some corpus statistics](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/Some_corpus_statistics.ipynb) # * [Various text formats](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/tutorial/usecases/various_text_formats.ipynb) # # ## Grammatical # # * [The particles μέν and δέ](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/particles_men_and_de.ipynb) # * [The use of μονογενής](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/use_of_monogenes.ipynb) # * [The use of προσκυνέω](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/use_of_proskyneo.ipynb) # * [Incongruenct adverb and noun](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/tutorial/usecases/incongruent_adverb_noun.ipynb) # * [Pronominal redundancy](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/pronominal_redundancy.ipynb) # # ## Syntactical # # * [Genitive objectivus or subjectivus](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/genitive_objectivus_or_subjectivus.ipynb) # * [The Granville Sharp rule](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/tutorial/usecases/Granville_Sharp_rule.ipynb) # * [Articulated proper nouns](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/tutorial/usecases/articulated_proper_nouns.ipynb) # * [Constituents order and phrase structure](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/constituents_order_and_phrase_structure.ipynb) # * [Repetition of nouns](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/repetition_of_nouns.ipynb) # * [Appositions](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/appositions.ipynb) # * [Speaking to objects](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/main/tutorial/find_objects.ipynb) # # ## Advanced # # * [Advanced search options](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/tutorial/usecases/advanced_search_options.ipynb) # * [Data is interpretation](https://nbviewer.org/github/tonyjurg/Nestle1904LFT/blob/tutorial/usecases/interpretation.ipynb) #