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NumPy For Beginners
NumPy for BeginnersMaster Numerical Computing with Python From Zero to Hero
NumPy for Beginners is your complete introduction to the world of numerical computation using Python. Whether you’re a programming newcomer, a data science student, or an aspiring machine learning engineer, this book guides you step-by-step through the foundations of NumPy, the core library that powers scientific computing in Python.
Inside, you’ll learn how
Understand and manipulate arrays, the building blocks of NumPy
Perform vectorized operations for lightning-fast computation
Use broadcasting, indexing, and slicing like a pro
Apply mathematical, statistical, and linear algebra operations efficiently
Visualize and prepare data for machine learning workflows
With practical examples, hands-on exercises, and clear explanations, this book makes NumPy simple and approachable no prior experience required.
By the end, you’ll be able to use NumPy confidently to handle real-world data and serve as a strong foundation for learning Pandas, SciPy, and TensorFlow.
NumPy for Beginners is your complete introduction to the world of numerical computation using Python. Whether you’re a programming newcomer, a data science student, or an aspiring machine learning engineer, this book guides you step-by-step through the foundations of NumPy, the core library that powers scientific computing in Python.
Inside, you’ll learn how
Understand and manipulate arrays, the building blocks of NumPy
Perform vectorized operations for lightning-fast computation
Use broadcasting, indexing, and slicing like a pro
Apply mathematical, statistical, and linear algebra operations efficiently
Visualize and prepare data for machine learning workflows
With practical examples, hands-on exercises, and clear explanations, this book makes NumPy simple and approachable no prior experience required.
By the end, you’ll be able to use NumPy confidently to handle real-world data and serve as a strong foundation for learning Pandas, SciPy, and TensorFlow.
74 pages, Kindle Edition
Published November 3, 2025
1 person want to read
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