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Python Programming Advanced: a QuickStudy Laminated Reference Guide
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Compact Design
This laminated reference guide is designed for quick access, providing concise information that fits easily in a bag or workspace, making it perfect for on-the-go programmers and learners.
Key Concepts
It covers advanced Python programming concepts, ensuring users grasp essential techniques and frameworks, helping them overcome common coding challenges efficiently compared to standard textbooks.
Durable Material
Made from high-quality laminated materials, this guide is resistant to wear and tear, making it a long-lasting resource for professionals and students who need reliable reference tools in their coding endeavors.
Produktdetaljer
- 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
| Publisher | QuickStudy |
| Publication date | November 1, 2025 |
| Edition | First Edition, New Edition, Updated & Revised |
| Language | English |
| Print length | 6 pages |
| ISBN-10 | 1423252209 |
| ISBN-13 | 978-1423252207 |
| Item Weight | 2.4 ounces (68.04 grams) |
| Dimensions | 8.5 x 0.06 x 11 inches (21.6 x 0.2 x 27.9 cm) |
Hvem bør købe?
-
Intermediate Programmers
Ideal for intermediate programmers seeking a quick reference to enhance their Python skills and leverage advanced features.
-
Students and Learners
Students in programming courses can use this guide to quickly grasp advanced topics and improve study efficiency.
-
Professionals in Tech
Tech professionals in need of a handy reference for Python syntax and libraries during development and debugging tasks.
-
Beginners in Python
Not suitable for beginners, as they may struggle to understand advanced concepts without foundational knowledge.
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