Stream API
Kursus
270 Allerede tilmeldte studerende- Efficiently process and transform data using Stream API operations.
- Apply functional programming principles for cleaner and more concise code.
- Optimize performance with parallel streams and advanced techniques.
- Handle errors properly when working with streams.
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Der er 4 moduler i dette kursus
Learn to harness Stream API in Java for efficient and elegant data processing. Explore its architecture, key principles, and functional interfaces, along with powerful operations like filtering, mapping, sorting, and collecting results. Discover advanced techniques for performance optimization, error handling, and parallel processing to apply Stream API effectively in real-world scenarios.- ArchitectureForhåndsvisning
- PrinciplesForhåndsvisning
- What Is a Functional Interface?Forhåndsvisning
- Predicate: Data FilteringForhåndsvisning
- Challenge: Filtering Corporate Email AddressesForhåndsvisning
- Function: Data TransformationForhåndsvisning
- Challenge: Income Tax CalculationForhåndsvisning
- Comparable: Natural Ordering of DataForhåndsvisning
- Comparator: Custom Comparison of DataForhåndsvisning
- Challenge: Sorting EmployeesForhåndsvisning
- Consumer: Processing DataForhåndsvisning
- Supplier: Data GenerationForhåndsvisning
- Bi-versions of Functional InterfacesForhåndsvisning
- Challenge: Filtering Users by Two CriteriaForhåndsvisning
- BinaryOperator: Combining Two ValuesForhåndsvisning
- Transforming Elements with the map() MethodForhåndsvisning
- Filtering Elements with the filter() MethodForhåndsvisning
- Challenge: Factory Product FilteringForhåndsvisning
- Working with Nested Structures with the flatMap() MethodForhåndsvisning
- Arranging Items in Order with the sorted() MethodForhåndsvisning
- Challenge: Selecting the Best Cars on the Production LineForhåndsvisning
- Eliminating Duplicates with the distinct() MethodForhåndsvisning
- Challenge: Factory Quality ControlForhåndsvisning
- Restricting and Skipping Elements with the limit() and skip() MethodsForhåndsvisning
- Challenge: Finding the Top 3 Hardest-Working EmployeesForhåndsvisning
- Intermediate Processing with the peek() MethodForhåndsvisning
- collect() Gathering Stream Elements into a CollectionForhåndsvisning
- Challenge: Build a Custom Collector for Category CountingForhåndsvisning
- Collectors Utility Class for Stream APIForhåndsvisning
- Processing Elements with the forEach() MethodForhåndsvisning
- Handling Values with the Optional ClassForhåndsvisning
- Aggregating Elements with the reduce() MethodForhåndsvisning
- Challenge: Calculating Total Cost with Discounts and TaxForhåndsvisning
- Calculating Stream Statistics with count(), max(), and min()Forhåndsvisning
- Retrieving Stream Summary Metrics with summaryStatistics() MethodForhåndsvisning
- Retrieving Elements from a Stream with findFirst() and findAny()Forhåndsvisning
- Challenge: Selecting Random Products Within a CategoryForhåndsvisning
- Checking Stream Elements Against a Condition with allMatch()Forhåndsvisning
- Challenge: Ensuring Fast Delivery for Expensive ProductsForhåndsvisning
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