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All interviews with @jbaruch from the past days โ€” featuring top speakers, authors, and voices from the community โ€” are now available! ๐Ÿš€ Watch now and dive even deeper into the #JCON2026 topics ๐Ÿ‘‡ youtube.com/@JAVAPRO-channelโ€ฆ Many thanks to our amazing speakers: @JohannesRabauer @asm0di0 @mgrygles @MaritvanDijk77 @piotrprz @brunoborges, Frederik Pietzko, Jan Thierolf, Lutske de Leeuw, Maaren Vandepere, Nupur Agarwal #LangChain4j #OpenSource #AIAgents #AI #JVM #SpringAI #Oel #Quarkus #SpecDrivenDevelopment #JavaStreams #SoftwareArchitecture #SpringFramework #A2A
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NEEEED more input? ๐Ÿ˜ Then jump into our livestream on YouTube now! @jbaruch is live at the Tessl & JAVAPRO Interview Booth, talking with speakers about: ๐Ÿ’ฌ Fresh perspectives, side stories, and honest opinions ๐Ÿ”ฅ The kind of insights you donโ€™t get in sessions ๐Ÿ‘‰ Tech & innovation ๐Ÿ‘‰ Business trends ๐Ÿ‘‰ Culture & the big ideas behind #JCON2026 All interviews from the past days with top speakers, authors, and voices from the community are also available! ๐Ÿš€ Watch now and dive even deeper into the JCON topics ๐Ÿ‘‡ youtube.com/@JAVAPRO-channelโ€ฆ Big thanks to our amazing speakers: @sKriemhild, @devops_thiago, @lofidewanto, @cayhorstmann, @fmartin_, @ewolff, @KoTurk77, @EliteGentleman, @hansolo_ & more! #LangChain4j #OpenSource #AIAgents #AI #JVM #SpringAI #Oel #Quarkus #SpecDrivenDevelopment #JavaStreams #SoftwareArchitecture #SpringFramework #A2A
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Declarative pipelines. Lazy evaluation. Batched #Gatherers. #JavaStreams evolved into a flexible data processing framework. Mihaela Gheorghe-Roman offers a practical timeline from #Java 8 to 24โ€”plus common pitfalls to avoid: javapro.io/2025/11/13/java-sโ€ฆ @OpenJDK #Java25 #JDK24 #JDK
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Day 20/365: More HashMap Learning Topic: HashMap's Today's Progression: โ€ข HashMap Basics: Moved from for loops to keySet() & entrySet() iterations. Learned that Maps have no "order"โ€”they only have Keys. โ€ข First Non-Repeating Element: Solved the classic "Two-Pass" problem. (Pass 1: Build Count, pass 2: Verify Order). โ€ข Intersection & Union: used HashSet as a filter. Intersection: "Check and Cross off" (contains remove). Union: "Just Add Everything" (Set automatically handles duplicates). Revision Java Streams: โ€ข Q_10_Find_Duplicates_in_List โ€ข Q_11_Merge_Multiple_List_in_list โ€ข Q_12_Concatenate_multiple_string_words #DSA #Java #CodingStreak #100DaysOfCode #DataStructures #HashMap #InterviewPreparation #BuildInPublic #Java8 #JavaStreams #RevisionMode
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Are you using parallelStream() without profiling? Or still writing Collectors.toList() manually? #JavaStreams have evolvedโ€”Mihaela Gheorghe-Roman breaks down what modern #Java offers you from 8 to 24: javapro.io/2025/11/13/java-sโ€ฆ @OpenJDK #ProjectAmber #Java25 #JavaStreams #JDK24
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Still writing verbose loops in #Java? Streams have evolved far beyond map() & filter()โ€”from takeWhile() to mapMulti() to gather(). Mihaela Gheorghe-Roman traces the full journey from Java 8 to 24. Stay current: javapro.io/2025/11/13/java-sโ€ฆ @OpenJDK #ProjectAmber #Java25 #JavaStreams
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โœ… Example: list.parallelStream() .map(this::complexComputation) .collect(Collectors.toList()); #JavaStreams #Java ๐Ÿงต
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๐Ÿ’ก Java tip: Use parallelStream() with care. It's ideal for CPU-intensive tasks, not I/O operations. โœ… Good for CPU-bound computations, it uses the ForkJoinPool.commonPool() where the default parallelism equals the number of CPU cores. #Java #JavaStreams ๐Ÿงต
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๐Ÿ’ก Java tip: Use parallelStream() with care. It's ideal for CPU-intensive tasks, not I/O operations. โœ… Good for CPU-bound computations, it uses the ForkJoinPool.commonPool() where the default parallelism equals the number of CPU cores: list.parallelStream() .map(this::complexComputation) .collect(Collectors.toList()); โš ๏ธ The thread pool size is fixed to CPU cores and threads spend most of their time waiting for external data to arrive, and while one thread waits, other threads canโ€™t step in. list.parallelStream() .map(this::IOOperations) .collect(Collectors.toList()); #Java #JavaStreams
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Comparing #Java Streams & Jox Flows: similar APIs on the surface, so why bother with a yet another streaming library for Java? One is pull-based, the other push-based; one excels at transforming collections, the other at managing asynchronous event flows & concurrency. ๐Ÿ‘‰ Read the full article by @adamwarski: softwaremill.com/comparing-jโ€ฆ #API #JoxFlows #JavaStreams
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Coincidentally used learned stream in project. Feels great to write clean and concise code! ๐Ÿš€ #Java #JavaStreams #LearningInPublic
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๐Ÿ”ฅ Data Types in Java In Java, data types specify the type of data that a variable can hold. They are divided into two main categories: 1. Primitive Data Types Data Type -------------- - byte (Small integer (-128 to 127)) - short (Medium integer (-32,768 to 32,767)) - int (Large integer (-2^31 to 2^31-1)) - long (Very large integer (-2^63 to 2^63-1)) - float (Decimal numbers (6-7 digits precision)) - double (Decimal numbers (15 digits precision)) - char (Single character) - boolean (True or False) 2. Non-Primitive Data Types (Reference Types) Data Type -------------- - String (Sequence of characters) - Array (Collection of similar data types) - Class (Blueprint for objects) - Interface (Collection of abstract methods) #Java #JavaProgramming #JavaTutorial #JavaDeveloper #LearnJava #JavaForBeginners #JavaOOP #JavaCollections #JavaBackend #JavaFramework #SpringBoot #JavaMultithreading #JavaDesignPatterns #Java2025 #JavaLambda #JavaStreams #JavaFunctionalProgramming #JavaWithSpringBoot #JavaCoding #Coder #JavaProject #JavaBackendDeveloper #JavaDevelopment #JavaCodingChallenge #react #developer
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๐Ÿš€ Java 24 is coming, and it brings Stream.gather()! It makes easier to perform intermediate data transformation in streams: โœ… One-to-one โœ… One-to-many โœ… Many-to-many More power, less code! ๐Ÿ’ก Ready to try it? #Java #Java24 #JDK24 #JavaStreams #Coding #Developers #Tech
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๐Ÿ› ๏ธ From lazy evaluation to side effectsโ€”get the lowdown on the 5 most common Java Streams mistakes and how to avoid them. #JavaStreams #CodingTips #Java buff.ly/3P49idg

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๐Ÿš€ Level up your stream processing! Our guide shows 5 common pitfalls in Java Streams and how to overcome them for smooth code execution. #JavaStreams #JavaDev #CodingTips buff.ly/3P49idg

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14 Feb 2025
How Hashing Works in HashMap? ๐Ÿ”๐Ÿš€ Ever wondered how HashMap stores and retrieves data so efficiently? Understanding hashing, buckets, and collision handling is key to mastering Java collections! In this video, I break down how hashing works in HashMap with clear visuals. Plus, Iโ€™ll show a custom sorting example using Java Streams to make your data manipulation even more powerful. Watch now and level up your Java skills! ๐ŸŽฏ๐Ÿ”ฅ ๐Ÿ”— youtu.be/KZqlxrmMQOM #Java #HashMap #Hashing #JavaStreams #Coding #Bitbee
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14 Feb 2025
How Hashing Works in HashMap? ๐Ÿ”๐Ÿš€ Ever wondered how HashMap stores and retrieves data so efficiently? Understanding hashing, buckets, and collision handling is key to mastering Java collections! In this video, I break down how hashing works in HashMap with clear visuals. Plus, Iโ€™ll show a custom sorting example using Java Streams to make your data manipulation even more powerful. Watch now and level up your Java skills! ๐ŸŽฏ๐Ÿ”ฅ ๐Ÿ”— youtu.be/KZqlxrmMQOM #Java #HashMap #Hashing #JavaStreams #Coding #Bitbee
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๐Ÿ”ง Enhance your Java Streams skills by learning from common errors. Find out the 5 mistakes many developers make and how to fix them! #JavaStreams #Coding #Java buff.ly/3P49idg

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๐Ÿšฆ Avoid the roadblocks in your Java Streams! Discover the top 5 mistakes and learn techniques to make your code bulletproof. #JavaStreams #CodingTips #JavaDev buff.ly/3P49idg

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๐Ÿ” Unlock the secrets to error-free Java Streams! Learn about 5 common mistakes and the best practices to avoid them. #JavaStreams #CodingBestPractices #Java buff.ly/3P49idg

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