Data Code Samples

Dive into practical code examples for data science, machine learning, and big data processing. Master Python, SQL, and R through hands-on tutorials and real-world projects.

Data Analysis

Learn core Python/Pandas techniques including data cleaning, exploration, and visualization. Walkthroughs include Jupyter Notebooks and data manipulation workflows.

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Machine Learning

Scikit-learn, TensorFlow, and PyTorch projects. Code samples topics include regression, clustering, and deep learning implementation with training/validation scripts.

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Big Data

Spark, Hadoop, and Flink examples for distributed data processing. Learn how to handle large-scale datasets with parallel compute frameworks and cloud-based workflows.

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Popular Data Code Categories

Python for Data Science

Master the core tools: NumPy, Pandas, and Matplotlib. Full projects include data cleaning, visualization, and statistical modeling.
Start Python Lab

SQL & Databases

Learn PostgreSQL and SQL queries for big data platforms. Use joins, window functions, and complex aggregations in real-time examples.
Write Queries

Big Data Pipelines

Design cloud-native ELT pipelines using Airflow, Flink, or Databricks. Learn how to process unstructured datasets using modern tools at scale.
Build Pipelines