Dealing With Data Pocket Primer

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Dealing With Data Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1683928180
Total Pages : 218 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Dealing With Data Pocket Primer by : Oswald Campesato

Download or read book Dealing With Data Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2022-05-04 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available. FEATURES: Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization Introduces probability and statistical concepts Features numerous code samples throughout Includes companion files with source code and figures

Data Cleaning Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1683922182
Total Pages : 239 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Data Cleaning Pocket Primer by : Oswald Campesato

Download or read book Data Cleaning Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2018-01-16 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of data cleaning to be able to work on their own projects. It is designed as a practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks. The book is packed with realistic examples and numerous commands that illustrate both the syntax and how the commands work together. Companion files with source code are available for downloading from the publisher. Features: - A practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks - Includes the concept of piping data between commands, regular expression substitution, and the sed and awk commands - Packed with realistic examples and numerous commands that illustrate both the syntax and how the commands work together - Assumes the reader has no prior experience, but the topic is covered comprehensively enough to teach a pro some new tricks - Includes companion files with all of the source code examples (download from the publisher).

Data Science Fundamentals Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1683927311
Total Pages : 428 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Data Science Fundamentals Pocket Primer by : Oswald Campesato

Download or read book Data Science Fundamentals Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2021-05-12 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. FEATURES: Includes a concise introduction to Python 3 and linear algebra Provides a thorough introduction to data visualization and regular expressions Covers NumPy, Pandas, R, and SQL Introduces probability and statistical concepts Features numerous code samples throughout Companion files with source code and figures

Data Science Fundamentals Pocket Primer

Author : Oswald Campesato
Publisher :
ISBN 13 : 9781683927334
Total Pages : 428 pages
Book Rating : 4.9/5 (273 download)

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Book Synopsis Data Science Fundamentals Pocket Primer by : Oswald Campesato

Download or read book Data Science Fundamentals Pocket Primer written by Oswald Campesato and published by . This book was released on 2021-05-25 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primerseries, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction tosome basic features of data analytics and also covers statistics, data visualization,linear algebra, and regular expressions. The book includes numerous code samplesusing Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. FEATURES: Includes a concise introduction to Python 3 and linear algebra Provides a thorough introduction to data visualization and regular expressions Covers NumPy, Pandas, R, and SQL Introduces probability and statistical concepts Features numerous code samples throughout Companion files with source code and figures

Data Structures and Algorithms in C++

Author : Lee Wittenberg
Publisher : Mercury Learning and Information
ISBN 13 : 1683920856
Total Pages : 267 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Data Structures and Algorithms in C++ by : Lee Wittenberg

Download or read book Data Structures and Algorithms in C++ written by Lee Wittenberg and published by Mercury Learning and Information. This book was released on 2017-03-30 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a minimalist approach to the traditional data structures course. It covers only those topics that are absolutely essential; the more esoteric structures and algorithms are left for later study. Suitable for an introductory data structures course or self-study, this book is written from the ground up in C++ (not translated from a Java-based text), and uses features of the C++ Standard Template Library to illustrate important concepts. A unique feature of the text is its use of literate programming techniques (originally developed by Donald Knuth) to present the sample code in a way that keeps the code from overwhelming the accompanying explanations. This book is suitable for an undergraduate data structures course using C++ or for developers needing review. Features • Takes a “minimalist” approach to the material that presents only essential concepts. This enables readers to focus on (and remember) just what they’ll need. • Uses select features of the C++11 standard to simplify the sample code and make it easier to understand. • Connects the concepts directly to the classes provided the Standard Template Library (STL), and shows how these classes can be implemented in C++. • Uses “literate programming” techniques that allow the presentation of the sample code to more clearly show the details of the code as well as how the pieces fit together.

Python 3 and Data Analytics Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1683926528
Total Pages : 390 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Python 3 and Data Analytics Pocket Primer by : Oswald Campesato

Download or read book Python 3 and Data Analytics Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2021-03-19 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at [email protected]. FEATURES: Includes a concise introduction to Python 3 Provides a thorough introduction to data and data cleaning Covers NumPy and Pandas Introduces statistical concepts and data visualization (Matplotlib/Seaborn) Features an appendix on regular expressions Includes companion files with source code and figures

Regular Expressions

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 168392228X
Total Pages : 306 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Regular Expressions by : Oswald Campesato

Download or read book Regular Expressions written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2018-06-04 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the bestselling Pocket Primer series, the goal of this book is to introduce readers to regular expressions in several technologies. It is intended for data scientists, data analysts, and others who want to understand regular expressions to perform various tasks. You will acquire an understanding of how to create an assortment of regular expressions, such as filtering data for strings containing uppercase or lowercase letters; matching integers, decimals, hexadecimal, and scientific numbers; and context-dependent pattern matching expressions. It includes REs with Python, R, bash, Perl, Java, and more. Companion files with source code are available for downloading from the publisher. Features: • Uses REs with Python, R, bash, Java, and more • Packed with realistic examples and numerous commands • Assumes the reader has no prior experience, but the topic is covered comprehensively enough to teach a pro some new tricks • Includes companion files with all of the source code examples (download from the publisher) ON THE COMPANION FILES (available from the publisher for downloading) • Source code samples

Python 3

Author : James R. Parker
Publisher : Mercury Learning and Information
ISBN 13 : 1683920872
Total Pages : 224 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Python 3 by : James R. Parker

Download or read book Python 3 written by James R. Parker and published by Mercury Learning and Information. This book was released on 2017-04-13 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of Python 3 to be able to work on their own projects. In addition to covering all of the basic concepts, the book features a chapter on PyGame, which allows a programmer to handle graphics, mouse and keyboard interaction, and play sounds and videos. The demonstration example for that chapter is a Lunar Lander game. Another feature is the chapter on communication, which makes use of one of Python’s best features: a collection of modules for sending and receiving Email, communicating between computers, and working with Twitter and Web pages. Companion files that accompany this book contain all of the code examples as complete working programs. This means that there is no need to key them in, so they can be executed and perhaps modified or expanded. Features: •Features a chapter on PyGame, which allows a programmer to handle graphics, mouse / keyboard interaction, and play sounds and videos •Explores communication in depth, making use of one of Python’s best features: a collection of modules for sending and receiving Email, communicating between computers, and working with Twitter and Web pages. •Companion files contain all of the code examples as complete working programs On the Companion Files: (also available from the publisher for downloading by emailing [email protected]) •Source code samples •All images from the text (including 4-color)

Angular and Machine Learning Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 168392469X
Total Pages : 261 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Angular and Machine Learning Pocket Primer by : Oswald Campesato

Download or read book Angular and Machine Learning Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2020-03-27 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. It includes code samples and numerous figures and covers topics such as Angular functionality, basic machine learning concepts, classification algorithms, TensorFlow and Keras. The files with code and color figures are on the companion disc with the book or available from the publisher. Features: Introduces the basic machine learning concepts and Angular applications Includes source code and full color figures

C Programming Pocket Primer

Author : Oswald Campesato
Publisher : Pocket Primer
ISBN 13 : 9781683923886
Total Pages : 0 pages
Book Rating : 4.9/5 (238 download)

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Book Synopsis C Programming Pocket Primer by : Oswald Campesato

Download or read book C Programming Pocket Primer written by Oswald Campesato and published by Pocket Primer. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the Pocket Primer series, this book provides an overviewof the major concepts to program in the language of C. Companion files withsource code from the book and figures are included. FEATURES: Provides an overview of the most important Cprogramming techniques Covers up-to-dateinformation regarding the C11 standard Includes two chapters on pointers Contains companion files with source code fromthe book eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected].

Python

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1937585492
Total Pages : 344 pages
Book Rating : 4.9/5 (375 download)

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Book Synopsis Python by : Oswald Campesato

Download or read book Python written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2012-12-15 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the new Pocket Primer series, this book provides an overview of the major aspects and the source code to use Python 2. It covers the latest Python developments, built-in functions and custom classes, data visualization, graphics, databases, and more. It includes a companion disc with appendices, source code, and figures. This Pocket Primer is primarily for self-directed learners who want to learn Python 2 and it serves as a starting point for deeper exploration of Python programming. Features: +Includes a companion disc with appendices, source code, and figures +Contains material devoted to Raspberry Pi, Roomba, JSON, and Jython +Includes latest Python 2 developments, built-in functions and custom classes, data visualization, graphics, databases, and more +Provides a solid introduction to Python 2 via complete code samples On the CD-ROM: +Appendices (HTML5 and JavaScript Toolkits, Jython, SPA) +Source code samples +All images from the text (including 4-color) +Solutions to Odd-Numbered Exercises

Android

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1683920899
Total Pages : 322 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Android by : Oswald Campesato

Download or read book Android written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2017-04-13 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best selling Pocket Primer series, this book provides an overview of the major aspects and the source code to use the latest versions of Android. It has coverage of the fundamental aspects of Android that are illustrated via code samples for versions 4.x through 7.x and features the Google Pixel phone. This Pocket Primer is primarily for self-directed learners who want to learn Android programming and it serves as a starting point for deeper exploration of its numerous applications. Companion disc (also available for downloading from the publisher) with source code, images, and appendices. Features: •Contains latest material on Android VR, graphics/animation, apps, and features the new Google Pixel phone •Includes companion files with all of the source code, appendices, and images from the book •Provides coverage of the fundamental aspects of Android that are illustrated via code samples for versions 4.x through 7.x On the Companion Files: • Source code samples • All images from the text (including 4-color) • Appendices (see Table of Contents)

Python Tools for Data Scientists Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1683928210
Total Pages : 434 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Python Tools for Data Scientists Pocket Primer by : Oswald Campesato

Download or read book Python Tools for Data Scientists Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2022-10-21 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available. FEATURES: Introduces Python, NumPy, Sklearn, SciPy, and awk Covers data cleaning tasks and data visualization Features numerous code samples throughout Includes companion files with source code

Bash Command Line and Shell Scripts Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1683925033
Total Pages : 306 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Bash Command Line and Shell Scripts Pocket Primer by : Oswald Campesato

Download or read book Bash Command Line and Shell Scripts Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2020-05-28 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to introduce readers to an assortment of useful command-line utilities that can be combined to create simple, yet powerful shell scripts. While all examples and scripts use the “bash” command set, many of the concepts translate into other command shells (such as sh, ksh, zsh, and csh), including the concept of piping data between commands and the highly versatile sed and awk commands. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new techniques to those who already have some experience with creating shell scripts. It contains a variety of code fragments and shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text files. In addition, the concepts and code samples in this book are useful for people who want to simplify routine tasks. Includes companion files with all of the source code examples (download from the publisher by writing to [email protected]). Features: Takes introductory concepts and commands in bash, and then demonstrates their uses in simple, yet powerful shell scripts Contains an assortment of shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text files Includes companion files with all of the source code examples (available for download from the publisher)

Data Science

Author : John D. Kelleher
Publisher : MIT Press
ISBN 13 : 0262535432
Total Pages : 282 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Data Science by : John D. Kelleher

Download or read book Data Science written by John D. Kelleher and published by MIT Press. This book was released on 2018-04-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

D3 Data-Driven Documents Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1942270690
Total Pages : 379 pages
Book Rating : 4.9/5 (422 download)

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Book Synopsis D3 Data-Driven Documents Pocket Primer by : Oswald Campesato

Download or read book D3 Data-Driven Documents Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2015-07-29 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the Pocket Primer series, this book provides an overview of the major aspects and the source code to use D3. This Pocket Primer is primarily for self-directed learners who want to learn D3 and serves as a starting point for deeper exploration of its programming. Features: • Includes a companion disc with appendices, source code, and figures • Contains material devoted to D3 on mobile devices, using D3 with Ajax, HTML5 Web Sockets, NodeJS, and covers D3 application programming interfaces and other toolkits • Provides a solid introduction to D3 via complete code samples eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected].

Python for TensorFlow Pocket Primer

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 1683923626
Total Pages : 307 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Python for TensorFlow Pocket Primer by : Oswald Campesato

Download or read book Python for TensorFlow Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2019-05-09 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources. Companion files with source code are available for downloading from the publisher by writing [email protected]. Features: A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.x Contains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topics Includes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operators Assumes the reader has very limited experience Companion files with all of the source code examples (download from the publisher)