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Data Scientist

Notebooks & Environments

Google Colab

Free hosted Jupyter-notebook environment with GPU/TPU access.

Jupyter

Interactive notebook environment for exploratory data analysis and literate programming.

Kaggle

Hosted notebooks, datasets, and competitions platform for data science.

ML Frameworks

PyTorch

Meta's deep learning framework, the dominant choice for research and production ML.

XGBoost

Gradient boosting library widely used for tabular data and competition-grade models.

scikit-learn

Classical machine learning library for Python, the standard for non-deep-learning ML.

Data Manipulation

NumPy

Foundational Python library for numerical computing and array operations.

Polars

Rust-based DataFrame library built for speed, increasingly displacing pandas on large datasets.

pandas

The standard Python library for tabular data manipulation and analysis.