Refactor to be object-oriented; df.ids instead of ids(df).

- Refactor Scala implementation.
- Refactor Python implementation.
- Remove legacy items from pom.xml
- Update documentation.
- Update README
- Resolves #2

Author: ruebot

README.md

@@ -1,11 +1,10 @@
 # Tweet Archives Unleashed Toolkit (twut)
 
-[![codecov](https://codecov.io/gh/archivesunleashed/twut/branch/main/graph/badge.svg)](https://codecov.io/gh/archivesunleashed/twut)
 [![Maven Central](https://maven-badges.herokuapp.com/maven-central/io.archivesunleashed/twut/badge.svg)](https://maven-badges.herokuapp.com/maven-central/io.archivesunleashed/twut)
 [![LICENSE](https://img.shields.io/badge/license-Apache-blue.svg?style=flat)](https://www.apache.org/licenses/LICENSE-2.0)
 [![Contribution Guidelines](http://img.shields.io/badge/CONTRIBUTING-Guidelines-blue.svg)](./CONTRIBUTING.md)
 
-An open-source toolkit for analyzing line-oriented JSON Twitter archives with Apache Spark.
+An open-source toolkit for analyzing line-oriented JSON data from the Twitter v1.1 API using Apache Spark.
 
 ## Dependencies
 
@@ -15,41 +14,41 @@ An open-source toolkit for analyzing line-oriented JSON Twitter archives with Ap
 
 ## Getting Started
 
-### Packages
+To get started with `twut`, you can either use it directly from Maven or download the JAR and ZIP files for Spark or PySpark.
 
-#### Spark Shell
+### Using the Spark Shell
+
+To use `twut` with Apache Spark, you can use the following command to include the package:
 
 ```
-$ spark-shell --packages "io.archivesunleashed:twut:0.0.4"
+$ spark-shell --packages "io.archivesunleashed:twut:1.0.0"
 ```
 
-### Jars
-
-You can download the [latest release files here](https://github.com/archivesunleashed/twut/releases) and include it like so:
-
-#### Spark Shell
+Alternatively, you can download the JAR file from the [latest release](https://github.com/archivesunleashed/twut/releases) and include it manually:
 
 ```
-$ spark-shell --jars /path/to/twut-0.0.4-fatjar.jar
+$ spark-shell --jars /path/to/twut-1.0.0-fatjar.jar
 ```
 
-#### PySpark
+### Using PySpark
+
+For Python users, download the ZIP file from the [latest release](https://github.com/archivesunleashed/twut/releases) and include it in your PySpark environment:
 
 ```
-$ pyspark --py-files /path/to/twut-0.0.4.zip
+$ pyspark --py-files /path/to/twut-1.0.0.zip
 ```
 
-You will need the `PYSPARK_PYTHON` and `PYSPARK_DRIVER_PYTHON` environment variables set.
+You will also need to set the `PYSPARK_PYTHON` and `PYSPARK_DRIVER_PYTHON` environment variables.
 
-## Documentation! Or, how do I use this?
+## Documentation and Tutorials
 
-Once built or downloaded, you can follow the basic set of recipes and tutorials [here](https://github.com/archivesunleashed/twut/tree/main/docs/usage.md).
+After you have `twut` built or downloaded, you can follow the basic set of recipes and tutorials [here](https://github.com/archivesunleashed/twut/tree/main/docs/usage.md).
 
-# License
+## License
 
 Licensed under the [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0).
 
-# Acknowledgments
+## Acknowledgments
 
 This work is primarily supported by the [Andrew W. Mellon Foundation](https://mellon.org/). Other financial and in-kind support comes from the [Social Sciences and Humanities Research Council](http://www.sshrc-crsh.gc.ca/), [Compute Canada](https://www.computecanada.ca/), the [Ontario Ministry of Research, Innovation, and Science](https://www.ontario.ca/page/ministry-research-innovation-and-science), [York University Libraries](https://www.library.yorku.ca/web/), [Start Smart Labs](http://www.startsmartlabs.com/), and the [Faculty of Arts](https://uwaterloo.ca/arts/) and [David R. Cheriton School of Computer Science](https://cs.uwaterloo.ca/) at the [University of Waterloo](https://uwaterloo.ca/).