T Kumagai friendbear

My ReadMe Profile and If you like it 🌟💕

Hi there （こんにちわ）from Japan 🗾

✨ special ✨ repository because its README.md (this file) appears on your GitHub profile.

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🌱 I’m currently learning Scala, Rust, Python3 C, C++, .NET and Bigdata, MongoDB ... etc

📫 How to reach me: [email protected] is.
- 🔑 GPP Key: None
⚡ I'm Join Forums

MQL5

From: 19 December 2024 - To: 26 December 2024

Other   1 hr 11 mins    >>>>>>>>>>>>>>>>>>>>>>>>>   98.50 %
Rust    1 min           -------------------------   01.50 %

    #!/usr/bin/env amm
    import scala.io.Source

    trait Programmer{def programinng()}
    trait Engineer{def writting()}
    trait Manager{def communication()}
    trait FullstackEnginner { this: Programmer with Engineer with Manager =>
        def superman()
    }
    class AboutMe(name: String, weightScale: Range, likeLocations: List[String], likeLanguages: List[String])
    object AboutMe {
      def printAbout() {
        println("MyName is ${name}")
      }
      def apply(weightScale: Range, likeLocations: List[String], likeLanguages: List[String]): AboutMe =
        AboutMe(weightScale, likeLocations, likeLanguage)
    }

    type ProgramData = (Int, String, String)
    def loadProgramData(): List[ProgramData] = {
      Source.fromFile("program.csv").getLines.drop(1).map(s => {val split = s.split(',');(split(0).toInt, split(1), split(2))}).toList
    }

    @main
    def printMe() {
      val programData = loadProgramData
      val likeLogic = (like: String) => like match {
        case "hybrid" | "oop" | "functional" | "el" => true
        case _ => false
      }
      val likeLocations = List("Kyoto, Japan", "Shimane, 出雲大社", "Etc.")
      val langs = for (programs <- programData.filter(p => likeLogic(p._3)) yield programs._2
      AboutMe.apply(55 to 79, likeLocations, langs).name = "T Kumagai" printAbout
    }

I love coffee Since 2021-10: Open ko-fi shop Please Access My Coffe Shop.

(in the last 365 days, languages pie based on number of commits)

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🎉 Merged PR #4 in friendbear/skills-introduction-to-codeql
🎉 Merged PR #3 in friendbear/skills-introduction-to-codeql
🎉 Merged PR #13 in friendbear/kafka-beginners-course
🎉 Merged PR #47 in friendbear/kafka-beginners
🎉 Merged PR #45 in friendbear/kafka-beginners
💪 Opened PR #13 in friendbear/kafka-beginners-course
💪 Opened PR #45 in friendbear/kafka-beginners
🎉 Merged PR #44 in friendbear/kafka-beginners
🎉 Merged PR #43 in friendbear/kafka-beginners
🎉 Merged PR #42 in friendbear/kafka-beginners

😙I love Asuna from SAO.

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