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.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

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+# Gunakan base image Python
+FROM python:3.10-slim
+
+# Non-interaktif (biar nggak nunggu input apt)
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Update dan install dependency dasar
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        wget \
+        curl \
+        gnupg \
+        ca-certificates \
+        git \
+        build-essential && \
+    rm -rf /var/lib/apt/lists/*
+
+# Tambahkan repo Adoptium untuk Java 17 (OpenJDK)
+RUN mkdir -p /etc/apt/keyrings && \
+    wget -O- https://packages.adoptium.net/artifactory/api/gpg/key/public | tee /etc/apt/keyrings/adoptium.asc && \
+    echo "deb [signed-by=/etc/apt/keyrings/adoptium.asc] https://packages.adoptium.net/artifactory/deb bookworm main" | tee /etc/apt/sources.list.d/adoptium.list && \
+    apt-get update && \
+    apt-get install -y temurin-17-jdk && \
+    rm -rf /var/lib/apt/lists/*
+
+# Set path JAVA_HOME
+ENV JAVA_HOME=/usr/lib/jvm/temurin-17-jdk-amd64
+ENV PATH=$JAVA_HOME/bin:$PATH
+
+# Install PySpark dan tools pendukung
+RUN pip install --no-cache-dir pyspark pandas matplotlib jupyterlab findspark
+
+# Buat folder kerja dan runtime Jupyter yang bisa ditulis
+RUN mkdir -p /workspace && \
+    mkdir -p /workspace/.jupyter_runtime && \
+    chmod -R 777 /workspace
+
+# Set direktori kerja dan environment Jupyter
+WORKDIR /workspace
+ENV JUPYTER_RUNTIME_DIR=/workspace/.jupyter_runtime
+ENV JUPYTER_DATA_DIR=/workspace/.jupyter_data
+ENV JUPYTER_CONFIG_DIR=/workspace/.jupyter_config
+
+# Buka port Jupyter
+EXPOSE 8888
+
+# Jalankan JupyterLab
+CMD ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token=''"]

README.md

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----
-title: Belajarspark
-emoji: 🌖
-colorFrom: indigo
-colorTo: blue
-sdk: docker
-pinned: false
-license: mit
-short_description: 'belajar spark '
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Praktikum 1 PySpark
+emoji: 🔥
+colorFrom: yellow
+colorTo: blue
+sdk: docker
+pinned: false
+app_port: 8888
+short_description: Praktikum 1 Mata Kuliah Analisis Big Data
+---

app.py

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+# app.py
+from pyspark.sql import SparkSession
+
+def main():
+    spark = SparkSession.builder \
+        .appName("SimpleApp") \
+        .getOrCreate()
+
+    data = [("Alice", 34), ("Bob", 45), ("Cindy", 29)]
+    df = spark.createDataFrame(data, ["name", "age"])
+    df.show()
+
+    # contoh transformasi sederhana
+    avg_age = df.groupBy().avg("age").collect()[0][0]
+    print(f"Average age = {avg_age}")
+
+    spark.stop()
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+# isi sesuai kebutuhan aplikasi
+# contoh:
+requests
+pandas