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Condizione: Used - Very Good. Product Description This "official" quick-reference guide to the Perl programming language has been enlarged to provide a summary of Perl syntax rules, a complete list of standard library modules with brief descriptions, and a precedence table for Perl operators. The guide is current with Perl version 5.003.Perl, having previously established itself as the UNIX scripting tool of choice, is establishing itself as the tool of choice in numerous programming spheres, ranging from the World Wide Web to general-purpose programming. Perl combines in one language virtually all the functionality of the C, sed, and awk programming languages, as well as many functions of a shell.The Perl 5 Desktop Reference provides a complete overview of Perl, from variables to input and output, from flow control to regular expressions -- all packaged into a convenient, carry-around guide that can easily be inserted into your favorite Perl programming manual. From the Publisher This "official" quick-reference guide to the Perl programming language has now been enlarged to provide a summary of Perl syntax rules, a complete list of standard library modules with brief descriptions, and a precedence table for Perl operators. The guide is current with Perl version 5.003. Perl, having previously established itself as the UNIX scripting tool of choice, is establishing itself as the tool of choice in numerous programming spheres, ranging from the World Wide Web to general-purpose programming. Perl combines in one language virtually all the functionality of the C, sed, and awk programming languages, as well as many functions of a shell. The Perl 5 Desktop Reference provides a complete overview of Perl, from variables to input and output, from flow control to regular expressions -- all packaged into a convenient, carry-around guide that can easily be inserted into your favorite Perl programming manual.…

Condizione: Used - Good.

Condizione: Used - Very Good. During assessment the item was found complete in very good condition with minimal use.

Condizione: Used - Very Good. Tight Binding Clean pages Clean Text. Unread. !00% Satisfaction Guaranteed.

Condizione: Used - Very Good. All pages are intact and are not marred by notes but may contain a neat previous owner name. The spine remains undamaged. Used books may not include companion materials. Customer service is our top priority.

Condizione: Used - Very Good. Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career.Learn how to: Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significance Manipulate vectors and matrices and perform matrix decomposition Integrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networks Navigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job market.…