Advanced Analytics with SparkIn this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.
You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques - classification, collaborative filtering, and anomaly detection among others - to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find these patterns useful for working on your own data applications. ...
Neo4j CookbookNeo4j is an open source graph database written in Java. Graph databases provide an excellent way to get richer insight into data and lower the bar for entry into the data science world. Starting with a practical and vital introduction to Neo4j and various aspects of Neo4j installation, you will learn how to connect and access Neo4j servers from programming languages such as Java, Python, Ruby, and Scala. You will also learn about Neo4j administration and maintenance before expanding and advancing your knowledge by dealing with large Neo4j installations and optimizing them for both storage and querying.
This is a practical guide full of examples and Neo4j recipes. The recipes are well explained with code samples that are updated for the latest version of Neo4j. ...
Learning Django Web DevelopmentDjango, written in Python, is a web application framework designed to build complex web applications quickly without any hassle. It loosely follows the MVC pattern and adheres to the Don't Repeat Yourself principle, which makes a database-driven application efficient and highly scalable, and is by far the most popular and mature Python web framework.
This book is a manual that will help you build a simple yet effective Django web application. It starts by introducing Django, setting it up, and shows you how to code simple programs. You will then learn to build your first Twitter-like app. Later on, you will be introduced to Hashtags, AJAX to enhance the user interface, and tweets. You will then move on to create an administration interface, learn database connectivity, and use third-party libraries. Then you will learn to debug and deploy Django projects, and also get a glimpse of Django with AngularJS and Elasticsearch. By the end of the book, you will be able to leverage the Djang ...
Raspberry Pi Computer Vision ProgrammingThis book will provide you with the skills you need to successfully design and implement your own Raspberry Pi and Python-based computer vision projects.
From the beginning, this book will cover how to set up your Raspberry Pi for computer vision applications, exploring the basics of OpenCV, and how to design and implement real-life computer vision applications on your own. By sequentially working through the steps in each chapter, you will quickly be able to master the features of OpenCV. In the end of the book, you will also be introduced to SimpleCV, which is another powerful computer vision library for Python. Featuring plenty of coding examples and exercises, this book offers you an unparalleled learning experience. ...
Bioinformatics Data SkillsLearn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets.
At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you're ready to get started. ...
Salt EssentialsGet a complete introduction to Salt, the widely used Python-based configuration management and remote execution tool. This practical guide not only shows system administrators how to manage complex infrastructures with Salt, but also teaches developers how to use Salt to deploy and manage their applications.
Written by two Salt experts, this book provides the information you need to deploy Salt in a production infrastructure right away. You'll also learn how to customize Salt and use salt-cloud to manage your virtualization. If you have experience with Linux and data formats such as JSON or XML, you're ready to get started. ...
Learning pandasThis learner's guide will help you understand how to use the features of pandas for interactive data manipulation and analysis.
This book is your ideal guide to learning about pandas, all the way from installing it to creating one- and two-dimensional indexed data structures, indexing and slicing-and-dicing that data to derive results, loading data from local and Internet-based resources, and finally creating effective visualizations to form quick insights. You start with an overview of pandas and NumPy and then dive into the details of pandas, covering pandas' Series and DataFrame objects, before ending with a quick review of using pandas for several problems in finance.
With the knowledge you gain from this book, you will be able to quickly begin your journey into the exciting world of data science and analysis. ...
NumPy Cookbook, 2nd EditionNumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time.
This book will give you a solid foundation in NumPy arrays and universal functions. Starting with the installation and configuration of IPython, you'll learn about advanced indexing and array concepts along with commonly used yet effective functions. You will then cover practical concepts such as image processing, special arrays, and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project with the help of examples. At the end of the book, you will study how to explore atmospheric pressure and its related techniques. By the time you finish this book, you'll be able to write clean and fast code with NumPy. ...
Django By ExampleDjango is a powerful Python web framework designed to develop web applications quickly, from simple prototypes to large-scale projects. Django encourages clean, pragmatic design, and provides developers with a comprehensive set of tools to build scalable web applications.
This book will walk you through the creation of four professional Django projects, teaching you how to solve common problems and implement best practices.
The book begins by showing you how to build a blog application, before moving on to developing a social image bookmarking website, an online shop and an e-learning platform. You will learn how to build a search engine and implement a user activity stream. Furthermore, you will create a recommendation engine, an e-commerce coupon system and a content management system. The book will also teach you how to enhance your applications with AJAX, create RESTful APIs and setup a production environment for your Django projects.
After reading this book, you will have a goo ...
Network Programmability and AutomationLike sysadmins before them, network engineers are finding that they cannot do their work manually anymore. As the field faces new protocols, technologies, delivery models, and a pressing need for businesses to be more agile and flexible, network automation is becoming essential. This practical guide shows network engineers how to use a range of technologies and tools - including Linux, Python, JSON, and XML - to automate their systems through code.
Network programming and automation will help you simplify tasks involved in configuring, managing, and operating network equipment, topologies, services, and connectivity. Through the course of the book, you'll learn the basic skills and tools you need to make this critical transition.
Python programming basics: data types, conditionals, loops, functions, classes, and modules; Linux fundamentals to provide the foundation you need on your network automation journey; Data formats and models: JSON, XML, YAML, and YANG for networking; Jinja te ...