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Numpy Beginner's Guide (Update)
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Numpy Beginner's Guide (Update)
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Overview of this book
This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.
Table of Contents (16 chapters)
Preface
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1. NumPy Quick Start
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2. Beginning with NumPy Fundamentals
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3. Getting Familiar with Commonly Used Functions
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4. Convenience Functions for Your Convenience
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5. Working with Matrices and ufuncs
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6. Moving Further with NumPy Modules
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7. Peeking into Special Routines
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8. Assuring Quality with Testing
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9. Plotting with matplotlib
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10. When NumPy Is Not Enough – SciPy and Beyond
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11. Playing with Pygame
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A. Pop Quiz Answers
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B. Additional Online Resources
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C. NumPy Functions' References
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Index
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