SKU/Artículo: AMZ-1423252209

Python Programming Advanced: a QuickStudy Laminated Reference Guide

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En stock
Peso con empaque:
0.15 kg
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Nuevo
Producto de:
Amazon
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USA

Sobre este producto
  • Essentials of advanced Python language features in this quick reference created for developers of all skill levels, goes perfectly with the QuickStudy Python Programming Language guide. This handy 6 page laminated guide is a concise desktop reference to key concepts behind Python logic, syntax, and operation. Author Robin Nixon worked with computers in the 80s and started developing websites in the 90s becoming an expert and writing over 40 programming books and over 500 articles for top computer magazines. With his expertise in the field and writing to his audience in our succinct and organized QuickStudy format, this reference has more quality actionable facts per page than any book or website. Designed for quick access to the facts you need, this inexpensive tool is an easy add to your programming toolbox. As our programming reference guides climb in sales to best-selling status, it is clear that print is not dead and this handy desktop tool is an unbeatable value.  6 page laminated guide includes:Background HistoryKey Features of PythonRegular Expressions (Regex)Recursion & IterationType Hints & Static TypingFunction SignaturesTyping VariablesCommon Types from TypingLists & TuplesListsList OperationsTuplesList & Tuple LengthDictionariesCreate a DictionaryAccess Dictionary ValuesModify a DictionaryCheck Keys & Dictionary LengthLoop Through a DictionaryDictionary MethodsHandle Missing Keys & Count ElementsSetsCreate Sets PropertiesAdd & Remove Elements Set OperationsCheck Membership & Set LengthFile HandlingOpen & Close FilesRead FilesWrite to FilesRead & Write Binary Files Error HandlingCommon Python ErrorsUse try, except & else to Handle ErrorsCatch Any ErrorUse finally for CleanupRaise Custom ExceptionsUse assert for DebuggingContext ManagersUsing withCreate Your Own Context ManagerContextlib for Simpler ManagersObject-Oriented Programming (OOP)Classes & ObjectsInheritancePolymorphismData ClassesDefault Values & Type AnnotationsImmutabilityMethod OverridingSelf Type (Python 3.11+)Abstract Base ClassesModules & PackagesAdvanced Pattern MatchingAsync ProgrammingUnit TestingBasic Test CaseCommon Assert MethodsRun TestsMock & Patch with unittest.mockProperty-Based Testing with HypothesisCustom Error HandlingAdvanced Data StructuresNamedTuplesEnumsDecorator TechniquesEfficiency & OptimizationDates & Times
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