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Introduction to computation and programming using Python : with application to understanding data John Guttag

By: Material type: TextTextLanguage: English Publication details: Delhi : PHI Learning, 2017.Edition: Second editionDescription: xvii, 447 pages ; 23 cmISBN:
  • 9788120352926
Subject(s): DDC classification:
  • 005.133 GUT
Contents:
Introduction to Python Some simple numerical programs Functions, scoping, and abstraction Structured types, mutability, and higher-order functions Testing and debugging Exceptions and assertions Classes and object-oriented programming A simplistic introduction to algorithmic complexity Some simple algorithms and data structures Plotting and more about classes Knapsack and graph optimization problems Dynamic programming Random walks and more about data visualization Stochastic programs, probability, and distributions Monte Carlo stimulation Sampling and confidence intervals Understanding experimental data Randomized trials and hypothesis checking Conditional probability and Bayesian statistics Lies, damned lies, and statistics A quick look at machine learning Clustering Classification methods
Summary: The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.
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Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Generalia Non-fiction 005.133 GUT (Browse shelf(Opens below)) Available 34192
General Books General Books CUTN Central Library Generalia Non-fiction 005.133 GUT (Browse shelf(Opens below)) Available 34193
General Books General Books CUTN Central Library Generalia Non-fiction 005.133 GUT (Browse shelf(Opens below)) Available 34194
General Books General Books CUTN Central Library Generalia Non-fiction 005.133 GUT (Browse shelf(Opens below)) Available 34195
Reference Books Reference Books CUTN Central Library Generalia Reference 005.133 GUT (Browse shelf(Opens below)) Not For Loan 34196

Introduction to Python Some simple numerical programs Functions, scoping, and abstraction Structured types, mutability, and higher-order functions Testing and debugging Exceptions and assertions Classes and object-oriented programming A simplistic introduction to algorithmic complexity Some simple algorithms and data structures Plotting and more about classes Knapsack and graph optimization problems Dynamic programming Random walks and more about data visualization Stochastic programs, probability, and distributions Monte Carlo stimulation Sampling and confidence intervals Understanding experimental data Randomized trials and hypothesis checking Conditional probability and Bayesian statistics Lies, damned lies, and statistics A quick look at machine learning Clustering Classification methods

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.

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