[Verse 1] Started with NumPy arrays, vectors in my hand Pandas DataFrames dancing, cleaning data like I planned Scikit-learn's the teacher, algorithms line by line Python's got the power, making predictions shine [Chorus] Four tools and ecosystem, build your ML dream Python, PyTorch, SQL streams Git and CI will make it flow Spark and Dask when data grows Four tools, four tools, that's how knowledge gleams [Verse 2] PyTorch tensors flowing through the neural network gates Autograd's computing gradients that calculate my weights TensorFlow's an option, either path will serve you right Dynamic graphs or static, both will help you see the light [Chorus] Four tools and ecosystem, build your ML dream Python, PyTorch, SQL streams Git and CI will make it flow Spark and Dask when data grows Four tools, four tools, that's how knowledge gleams [Verse 3] SQL's not just simple selects, window functions call my name Analytical queries, complex joins are not the same Common table expressions, subqueries that nest so deep Real production data, not the toy stuff that you keep [Bridge] When your data's getting bigger Spark will be your friend Distributed computation Scale that doesn't end Dask for Python lovers Parallel and clean Git commits tell the story CI makes the pipeline lean [Chorus] Four tools and ecosystem, build your ML dream Python, PyTorch, SQL streams Git and CI will make it flow Spark and Dask when data grows Four tools, four tools, that's how knowledge gleams [Verse 4] Version control's essential, branches merge and conflicts heal Continuous integration, automated tests make models real MLOps is the future, pipelines running through the night Infrastructure as code now, deployment done just right [Outro] NumPy, pandas, scikit-learn PyTorch helps your models burn SQL queries, Spark at scale Git and CI, they never fail Four tools mastered, you have learned
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