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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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      Lists

      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.

      Lists

      List is one of the built-in data types in Python. A Python list is a sequence of comma separated items, enclosed in square brackets [ ]. The items in a Python list need not be of the same data type.
      Following are some examples of Python lists
      list1 = ["Rohan", "Physics", 21, 69.75]
      list2 = [1, 2, 3, 4, 5]
      list3 = ["a", "b", "c", "d"]
      list4 = [25.50, True, -55, 1+2j]
      In Python, a list is a sequence data type. It is an ordered collection of items. Each item in a list has a unique position index, starting from 0.
      A list in Python is similar to an array in C, C++ or Java. However, the major difference is that in C/C++/Java, the array elements must be of same type. On the other hand, Python lists may have objects of different data types.
      A Python list is mutable. Any item from the list can be accessed using its index, and can be modified. One or more objects from the list can be removed or added. A list may have same item at more than one index positions.

      Python List Operations

      In Python, List is a sequence. Hence, we can concatenate two lists with "+" operator and concatenate multiple copies of a list with "*" operator. The membership operators "in" and "not in" work with list object.
      Python Expression
      Results
      Description
      [1, 2, 3] + [4, 5, 6]
      [1, 2, 3, 4, 5, 6]
      Concatenation
      ['Hi!'] * 4
      ['Hi!', 'Hi!', 'Hi!', 'Hi!']
      Repetition
      3 in [1, 2, 3]
      True
      Membership

      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.