For PySpark

Get the appropriate catboost_spark_version (see available versions at Maven central).

Choose the appropriate spark_compat_version (2.3, 2.4, 3.0, 3.1, 3.2, 3.3, 3.4 or 3.5) and scala_compat_version (2.11, 2.12 or 2.13, corresponding to versions supported by the particular Spark version).

Just add the catboost-spark Maven artifact with the appropriate spark_compat_version, scala_compat_version and catboost_spark_version to spark.jar.packages Spark config parameter and import the catboost_spark package:

from pyspark.sql import SparkSession

sparkSession = (SparkSession.builder
    .config("spark.jars.packages", "ai.catboost:catboost-spark_<spark_compat_version>_<scala_compat_version>:<catboost_spark_version>")

import catboost_spark