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|a 34083E08-09D2-426B-82D9-984F390A5159
|b OverDrive, Inc.
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|a UAMI
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| 100 |
1 |
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|a Nunez-Iglesias, Juan.
|
| 245 |
1 |
0 |
|a Elegant sciPy :
|b the art of scientific Python /
|c Juan Nunez-Iglesias, Stéfan van der Walt, and Harriet Dashnow.
|
| 246 |
3 |
0 |
|a Art of scientific Python
|
| 250 |
|
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|a First edition.
|
| 260 |
|
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|a Sebastopol, CA :
|b O'Reilly Media,
|c 2017.
|
| 300 |
|
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|a 1 online resource (xxii, 251 pages) :
|b color illustrations
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| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
|
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
|
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|a Includes bibliographical references and index.
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| 505 |
0 |
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|a Copyright; Table of Contents; Preface; Who Is This Book For?; Why SciPy?; What Is the SciPy Ecosystem?; The Great Cataclysm: Python 2 Versus Python 3; SciPy Ecosystem and Community; Free and Open Source Software (FOSS); GitHub: Taking Coding Social; Make Your Mark on the SciPy Ecosystem; A Touch of Whimsy with Your Py; Getting Help; Installing Python; Accessing the Book Materials; Diving In; Conventions Used in This Book; Use of Color; Using Code Examples; O'Reilly Safari; How to Contact Us; Acknowledgments; Chapter 1. Elegant NumPy: The Foundation of Scientific Python.
|
| 505 |
8 |
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|a Introduction to the Data: What Is Gene Expression?NumPy N-Dimensional Arrays; Why Use ndarrays Instead of Python Lists?; Vectorization; Broadcasting; Exploring a Gene Expression Dataset; Reading in the Data with pandas; Normalization; Between Samples; Between Genes; Normalizing Over Samples and Genes: RPKM; Taking Stock; Chapter 2. Quantile Normalization with NumPy and SciPy; Getting the Data; Gene Expression Distribution Differences Between Individuals; Biclustering the Counts Data; Visualizing Clusters; Predicting Survival; Further Work: Using the TCGA's Patient Clusters.
|
| 505 |
8 |
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|a Further Work: Reproducing the TCGA's clustersChapter 3. Networks of Image Regions with ndimage; Images Are Just NumPy Arrays; Exercise: Adding a Grid Overlay; Filters in Signal Processing; Filtering Images (2D Filters); Generic Filters: Arbitrary Functions of Neighborhood Values; Exercise: Conway's Game of Life; Exercise: Sobel Gradient Magnitude; Graphs and the NetworkX library; Exercise: Curve Fitting with SciPy; Region Adjacency Graphs; Elegant ndimage: How to Build Graphs from Image Regions; Putting It All Together: Mean Color Segmentation.
|
| 505 |
8 |
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|a Chapter 4. Frequency and the Fast Fourier TransformIntroducing Frequency; Illustration: A Birdsong Spectrogram; History; Implementation; Choosing the Length of the DFT; More DFT Concepts; Frequencies and Their Ordering; Windowing; Real-World Application: Analyzing Radar Data; Signal Properties in the Frequency Domain; Windowing, Applied; Radar Images; Further Applications of the FFT; Further Reading; Exercise: Image Convolution; Chapter 5. Contingency Tables Using Sparse Coordinate Matrices; Contingency Tables; Exercise: Computational Complexity of Confusion Matrices.
|
| 505 |
8 |
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|a Exercise: Alternative Algorithm to Compute the Confusion MatrixExercise: Multiclass Confusion Matrix; scipy.sparse Data Formats; COO Format; Exercise: COO Representation; Compressed Sparse Row Format; Applications of Sparse Matrices: Image Transformations; Exercise: Image Rotation; Back to Contingency Tables; Exercise: Reducing the Memory Footprint; Contingency Tables in Segmentation; Information Theory in Brief; Exercise: Computing Conditional Entropy; Information Theory in Segmentation: Variation of Information; Converting NumPy Array Code to Use Sparse Matrices.
|
| 590 |
|
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
| 650 |
|
0 |
|a Python (Computer program language)
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| 650 |
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0 |
|a Numerical analysis.
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| 650 |
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6 |
|a Python (Langage de programmation)
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| 650 |
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6 |
|a Analyse numérique.
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| 650 |
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7 |
|a COMPUTERS
|x Programming Languages
|x Python.
|2 bisacsh
|
| 650 |
|
7 |
|a Numerical analysis.
|2 fast
|0 (OCoLC)fst01041273
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| 650 |
|
7 |
|a Python (Computer program language)
|2 fast
|0 (OCoLC)fst01084736
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| 700 |
1 |
|
|a Van der Walt, Stéfan.
|
| 700 |
1 |
|
|a Dashnow, Harriet.
|
| 776 |
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