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Exam (elaborations)

Python for Data Science – Complete Study Guide | Key Concepts, Code Examples & Practical Notes

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2024/2025 Written for academic year
Institution Python Theory
Course Python theory
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This Python for Data Science study guide covers essential concepts and tools used in real-world data analysis. It includes clear explanations, annotated code examples, and practical notes on topics like NumPy, pandas, data visualization, and basic machine learning. Designed for beginners and intermediate learners, this guide helps you build a strong foundation and apply Python confidently in data-driven projects.

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, np.array(): Creates an
a list or tuple.
np.zeros(): Generates a
filled with zeros.
np.ones(): Generates an
filled with ones.
np.arange(start, stop,
Creates an array with e
spaced values within a
np.linspace(start, stop
Generates an array with
spaced numbers between
np.eye(n): Creates an i
matrix.
np.full(shape, fill_val
Creates an array filled

specified value.

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  • data science exam prep
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