class_docstr: A column in a DataFrame.
  
  .. versionadded:: 1.3.0
  
  .. versionchanged:: 3.4.0
      Supports Spark Connect.
  
  Examples
  --------
  Column instances can be created by
  
  >>> df = spark.createDataFrame(
  ...      [(2, "Alice"), (5, "Bob")], ["age", "name"])
  
  Select a column out of a DataFrame
  >>> df.name
  Column<'name'>
  >>> df["name"]
  Column<'name'>
  
  Create from an expression
  
  >>> df.age + 1
  Column<...>
  >>> 1 / df.age
  Column<...>
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docstr: binary function
docstr_tok: ["binary","function"]
code: def __ne__(  # type: ignore[override]
      self,
      other: Any,
  ) -> "Column":
      """binary function"""
      return _bin_op("notEqual")(self, other)
  
imports: import sys
  import json
  import warnings
  from typing import cast, overload, Any, Callable, Iterable, List, Optional, Tuple, TYPE_CHECKING, Union
  from py4j.java_gateway import JavaObject, JVMView
  from pyspark import copy_func
  from pyspark.context import SparkContext
  from pyspark.errors import PySparkAttributeError, PySparkTypeError, PySparkValueError
  from pyspark.sql.types import DataType
  from pyspark.sql.utils import get_active_spark_context
label_desc: Use image node_id 3 for calling the Column obj's underlying member method code with example usage: obj.__ne__(other) and returns: _bin_op