Bioinformatics with R Cookbook
Bioinformatics is an interdisciplinary field that develops and improves upon the methods for storing, retrieving, organizing, and analyzing biological data. R is the primary language used for handling most of the data analysis work done in the domain of bioinformatics. Bioinformatics with R Cookbook is a hands-on guide that provides you with a number of recipes offering you solutions to all the computational tasks related to bioinformatics in terms of packages and tested codes. With the help of this book, you will learn how to analyze biological data using R, allowing you to infer new knowledge from your data coming from different types of experiments stretching from microarray to NGS and mass spectrometry. ...
Bioinformatics is an interdisciplinary field that develops and improves upon the methods for storing, retrieving, organizing, and analyzing biological data. R is the primary language used for handling most of the data analysis work done in the domain of bioinformatics. Bioinformatics with R Cookbook is a hands-on guide that provides you with a number of recipes offering you solutions to all the computational tasks related to bioinformatics in terms of packages and tested codes. With the help of this book, you will learn how to analyze biological data using R, allowing you to infer new knowledge from your data coming from different types of experiments stretching from microarray to NGS and mass spectrometry. ...
Python in Practice
If you're an experienced Python programmer, Python in Practice will help you improve the quality, reliability, speed, maintainability, and usability of all your Python programs. Mark Summerfield focuses on four key themes: design patterns for coding elegance, faster processing through concurrency and compiled Python (Cython), high-level networking, and graphics. He identifies well-proven design patterns that are useful in Python, illuminates them with expert-quality code, and explains why some object-oriented design patterns are irrelevant to Python. He also explodes several counterproductive myths about Python programming—showing, for example, how Python can take full advantage of multicore hardware. ...
If you're an experienced Python programmer, Python in Practice will help you improve the quality, reliability, speed, maintainability, and usability of all your Python programs. Mark Summerfield focuses on four key themes: design patterns for coding elegance, faster processing through concurrency and compiled Python (Cython), high-level networking, and graphics. He identifies well-proven design patterns that are useful in Python, illuminates them with expert-quality code, and explains why some object-oriented design patterns are irrelevant to Python. He also explodes several counterproductive myths about Python programming—showing, for example, how Python can take full advantage of multicore hardware. ...
The Python Standard Library by Example
The Python Standard Library contains hundreds of modules for interacting with the operating system, interpreter, and Internet - all extensively tested and ready to jump-start your application development. The Python Standard Library by Example introduces virtually every important area of the Python 2.7 library through concise, stand-alone source code/output examples, designed for easy learning and reuse. Building on his popular Python Module of the Week blog series, author and Python expert Doug Hellmann focuses on "showing" not "telling". He explains code behavior through downloadable examples that fully demonstrate each feature. ...
The Python Standard Library contains hundreds of modules for interacting with the operating system, interpreter, and Internet - all extensively tested and ready to jump-start your application development. The Python Standard Library by Example introduces virtually every important area of the Python 2.7 library through concise, stand-alone source code/output examples, designed for easy learning and reuse. Building on his popular Python Module of the Week blog series, author and Python expert Doug Hellmann focuses on "showing" not "telling". He explains code behavior through downloadable examples that fully demonstrate each feature. ...
Python Network Programming Cookbook
This book highlights major aspects of network programming in Python starting from writing simple networking clients, to developing complex screen-scraping and network security monitoring scripts. It creates the building blocks for many practical web and networking applications that rely on various networking protocols. This book presents the power and beauty of Python in solving the numerous real-world tasks in the area of network programming, system and network administration, network monitoring, and web-application development. This book develops your ability to solve a wide range of network programming tasks in Python. We will start by exploring the Python standard library functions to create client/server network and manipulate your local networking resources available under both IPv4 and IPv6. The practical focus continues with creating web and email clients, scraping web pages, fetching information from various websites, and searching for information on the Web such as Amazon, ...
This book highlights major aspects of network programming in Python starting from writing simple networking clients, to developing complex screen-scraping and network security monitoring scripts. It creates the building blocks for many practical web and networking applications that rely on various networking protocols. This book presents the power and beauty of Python in solving the numerous real-world tasks in the area of network programming, system and network administration, network monitoring, and web-application development. This book develops your ability to solve a wide range of network programming tasks in Python. We will start by exploring the Python standard library functions to create client/server network and manipulate your local networking resources available under both IPv4 and IPv6. The practical focus continues with creating web and email clients, scraping web pages, fetching information from various websites, and searching for information on the Web such as Amazon, ...
HBase Essentials
With an example-oriented approach, this book begins by providing you with a step-by-step learning process to effortlessly set up HBase clusters and design schemas. Gradually, you will be taken through advanced data modeling concepts and the intricacies of the HBase architecture. Moreover, you will also get acquainted with the HBase client API and HBase shell. Essentially, this book aims to provide you with a solid grounding in the NoSQL columnar database space and also helps you take advantage of the real power of HBase using data scans, filters, and the MapReduce framework. Most importantly, the book also provides you with practical use cases covering various HBase clients, HBase cluster administration, and performance tuning. ...
With an example-oriented approach, this book begins by providing you with a step-by-step learning process to effortlessly set up HBase clusters and design schemas. Gradually, you will be taken through advanced data modeling concepts and the intricacies of the HBase architecture. Moreover, you will also get acquainted with the HBase client API and HBase shell. Essentially, this book aims to provide you with a solid grounding in the NoSQL columnar database space and also helps you take advantage of the real power of HBase using data scans, filters, and the MapReduce framework. Most importantly, the book also provides you with practical use cases covering various HBase clients, HBase cluster administration, and performance tuning. ...
Building Mapping Applications with QGIS
QGIS is one of the premiere open source Geographical Information Systems. While developing Python geospatial applications can be challenging, QGIS simplifies the process by combining the necessary geoprocessing libraries with a sophisticated user interface, all of which can be directly controlled using Python code. Starting with an introduction to QGIS and how to use the built-in QGIS Python Console, we will teach you how to write Python code that makes use of the geospatial capabilities of QGIS. Building on this, you will ultimately learn how to create your own sophisticated standalone mapping applications built on top of QGIS. You will learn how to use the Python Console as a window into the QGIS programming environment, and then use that environment to create your own Python scripts and plugins to customize QGIS. ...
QGIS is one of the premiere open source Geographical Information Systems. While developing Python geospatial applications can be challenging, QGIS simplifies the process by combining the necessary geoprocessing libraries with a sophisticated user interface, all of which can be directly controlled using Python code. Starting with an introduction to QGIS and how to use the built-in QGIS Python Console, we will teach you how to write Python code that makes use of the geospatial capabilities of QGIS. Building on this, you will ultimately learn how to create your own sophisticated standalone mapping applications built on top of QGIS. You will learn how to use the Python Console as a window into the QGIS programming environment, and then use that environment to create your own Python scripts and plugins to customize QGIS. ...
Mastering Hadoop
Hadoop is synonymous with Big Data processing. Its simple programming model, "code once and deploy at any scale" paradigm, and an ever-growing ecosystem makes Hadoop an all-encompassing platform for programmers with different levels of expertise. This book explores the industry guidelines to optimize MapReduce jobs and higher-level abstractions such as Pig and Hive in Hadoop 2.0. Then, it dives deep into Hadoop 2.0 specific features such as YARN and HDFS Federation. This book is a step-by-step guide that focuses on advanced Hadoop concepts and aims to take your Hadoop knowledge and skill set to the next level. The data processing flow dictates the order of the concepts in each chapter, and each chapter is illustrated with code fragments or schematic diagrams. ...
Hadoop is synonymous with Big Data processing. Its simple programming model, "code once and deploy at any scale" paradigm, and an ever-growing ecosystem makes Hadoop an all-encompassing platform for programmers with different levels of expertise. This book explores the industry guidelines to optimize MapReduce jobs and higher-level abstractions such as Pig and Hive in Hadoop 2.0. Then, it dives deep into Hadoop 2.0 specific features such as YARN and HDFS Federation. This book is a step-by-step guide that focuses on advanced Hadoop concepts and aims to take your Hadoop knowledge and skill set to the next level. The data processing flow dictates the order of the concepts in each chapter, and each chapter is illustrated with code fragments or schematic diagrams. ...
Mastering Splunk
Splunk is the definitive technology solution used to manage the ever-growing volumes of machine-generated data. This technology is indispensable for industries involved in big data analysis, online services, education, finance, healthcare, retail, and telecommunications. So, having Splunk experience will be relevant for a long time to come! This book will first take you through the evolution of Splunk and how it fits into an organization's architectural roadmap. Master advanced search topics and explore in-depth methods to leverage Splunk tables, charts, fields, and other cases. As we advance through the chapters, you will master the best practices of values and lookups, indexes, business effective dashboards, and discover the cornerstones of how to evolve your current Splunk application and its monitoring capabilities. Finally, we round things off with the discussion of transactions from an enterprise perspective. ...
Splunk is the definitive technology solution used to manage the ever-growing volumes of machine-generated data. This technology is indispensable for industries involved in big data analysis, online services, education, finance, healthcare, retail, and telecommunications. So, having Splunk experience will be relevant for a long time to come! This book will first take you through the evolution of Splunk and how it fits into an organization's architectural roadmap. Master advanced search topics and explore in-depth methods to leverage Splunk tables, charts, fields, and other cases. As we advance through the chapters, you will master the best practices of values and lookups, indexes, business effective dashboards, and discover the cornerstones of how to evolve your current Splunk application and its monitoring capabilities. Finally, we round things off with the discussion of transactions from an enterprise perspective. ...
Scala for Machine Learning
The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering designs, biometrics, and trading strategies, to detection of genetic anomalies. The book begins with an introduction to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. Next, you'll learn about data preprocessing and filtering techniques. Following this, you'll move on to clustering and dimension reduction, Naïve Bayes, regression models, sequential data, regularization and kernelization, support vector machines, neural networks, generic algorithms, and re-enforcement learning. A review of the Akka framework and Apache Spark clusters concludes the tutorial. ...
The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering designs, biometrics, and trading strategies, to detection of genetic anomalies. The book begins with an introduction to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. Next, you'll learn about data preprocessing and filtering techniques. Following this, you'll move on to clustering and dimension reduction, Naïve Bayes, regression models, sequential data, regularization and kernelization, support vector machines, neural networks, generic algorithms, and re-enforcement learning. A review of the Akka framework and Apache Spark clusters concludes the tutorial. ...
Learning Scala
Why learn Scala? You don't need to be a data scientist or distributed computing expert to appreciate this object-oriented functional programming language. This practical book provides a comprehensive yet approachable introduction to the language, complete with syntax diagrams, examples, and exercises. You'll start with Scala's core types and syntax before diving into higher-order functions and immutable data structures. Author Jason Swartz demonstrates why Scala's concise and expressive syntax make it an ideal language for Ruby or Python developers who want to improve their craft, while its type safety and performance ensures that it's stable and fast enough for any application. ...
Why learn Scala? You don't need to be a data scientist or distributed computing expert to appreciate this object-oriented functional programming language. This practical book provides a comprehensive yet approachable introduction to the language, complete with syntax diagrams, examples, and exercises. You'll start with Scala's core types and syntax before diving into higher-order functions and immutable data structures. Author Jason Swartz demonstrates why Scala's concise and expressive syntax make it an ideal language for Ruby or Python developers who want to improve their craft, while its type safety and performance ensures that it's stable and fast enough for any application. ...