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      Control FlowBreak StatementContinue StatementPass StatementNested LoopsDecision MakingIf StatementIf-else StatementNested IF StatementMatch-Case StatementLoopsFor LoopsFor-else LoopsWhile Loops

      FunctionsBuilt-in FunctionsDefault ArgumentsKeyword ArgumentsKeyword-Only ArgumentsPositional ArgumentsPositional-Only ArgumentsArbitrary ArgumentsVariable ScopeFunction AnnotationsModules

      StringSlicing StringsModify StringsString ConcatenationString FormattingEscape CharactersString MethodsString Exercises

      ListsList ExercisesAccess List ItemsChange List ItemsAdd List ItemsRemove List ItemsLoop ListsList ComprehensionSort ListsCopy ListsJoin ListsList Methods

      TuplesAccess Tuple ItemsUpdate TuplesUnpack Tuple ItemsLoop TuplesJoin TuplesTuple MethodsTuple Exercises

      SetsAccess Set ItemsAdd Set ItemsRemove Set ItemsLoop SetsJoin SetsCopy SetsSet OperatorsSet MethodsSet Exercises

      DictionariesDictionary ExercisesAccess Dictionary ItemsChange Dictionary ItemsAdd Dictionary ItemsRemove Dictionary ItemsDictionary View ObjectsLoop DictionariesCopy DictionariesNested DictionariesDictionary Methods

      ArraysAccess Array ItemsAdd Array ItemsRemove Array ItemsLoop ArraysCopy ArraysReverse ArraysSort ArraysJoin ArraysArray MethodsArray Exercises

      File HandlingWrite to FileRead FilesRenaming and Deleting FilesDirectoriesFile Methods

      OOP ConceptsDynamic BindingDynamic TypingAbstractionObject and ClassesEncapsulationInterfacesPackagesInner ClassesAnonymous Class and ObjectsSingleton ClassWrapper ClassesEnumsReflectionClass AttributesClass MethodsStatic MethodsConstructorsAccess ModifiersInheritancePolymorphismMethod OverridingMethod Overloading

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      Access Array Items

      Python Tutorial

      This Python tutorial has been written for the beginners to help them understand the basic to advanced concepts of Python Programming Language. After completing this tutorial, you will find yourself at a great level of expertise in Python, from where you can take yourself to the next levels to become a world class Software Engineer.

      Access Array Items

      Since the array object behaves very much like a sequence, you can perform indexing and slicing operation with it.

      Example

      import array as arr
      a = arr.array('i', [1, 2, 3])
      #indexing
      print (a[1])
      #slicing
      print (a[1:])

      Changing Array Items

      You can assign value to an item in the array just as you assign a value to item in a list.

      Example

      import array as arr
      a = arr.array('i', [1, 2, 3])
      a[1] = 20
      print (a[1])
      Here, you will get "20" as the output. However, Python doesn't allow assigning value of any other type than the typecode used at the time of creating an array. The following assignment raises TypeError.
      import array as arr
      a = arr.array('i', [1, 2, 3])
      # assignment
      a[1] = 'A'
      It will produce the following output
      TypeError: 'str' object cannot be interpreted as an integer

      Practice with Online Editor

      Note: This Python online Editor is a Python interpreter written in Rust, RustPython may not fully support all Python standard libraries and third-party libraries yet.
      Remember to save code(Ctrl + S Or Command + S) before run it.