ISBN
9781789534405
Perform exploratory data analysis and gain insight into scientific computing using Python :
Become a Python Data Analyst book introduces you to the mainstream libraries of Python’s Data Science stack. With proven examples and real-world datasets, this book teaches how to effectively perform data manipulation, visualize and analyze data patterns and brings you to the ladder of advanced topics like Predictive Analytics.
Author/Authors: Fuentes, Alvaro
Pages: 178 | Published Date: 43343
Category: Data
ISBN
9781787128811
Expert techniques for architecting end-to-end Big Data solutions to get valuable insights :
The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems.
Author/Authors: Kumar, V. Naresh | Shindgikar, Prashant
Pages: 394 | Published Date: 43189
Category: Data
ISBN
9781789534177
Learn everything you need to get up and running with cutting-edge API development using JavaScript and Node.js; ideal for data-intensive real-time applications that run across multiple platforms. :
Using the same framework to build both server and client-side applications saves you time and money. This book teaches you how you can use JavaScript and Node.js to build highly scalable APIs that work well with lightweight cross-platform client applications. It begins with the basics of Node.js in the context of backend development, and quickly leads you through the creation of an example client that pairs up with a fully authenticated API implementation. By the end of the book, you’ll have the skills and exposure required to get hands-on with your own API development project.
Author/Authors: Nandaa, Anthony
Pages: 100 | Published Date: 43305
Category: Web Development
ISBN
9781789539226
You need much more than imagination to predict earthquakes and detect brain cancer cells. Become an expert in designing and deploying TensorFlow and Keras models, and generate insightful predictions with the power of deep learning. :
This book is ideal for experienced developers, analysts, or a data scientists, who want to develop applications using TensorFlow and Keras. This rapid hands-on course quickly shows you how to get to grips with TensorFlow in the context of real-world application development. We assume that you are familiar with Python and have a basic knowledge of web application development. If you have a background in linear algebra, probability, and statistics, you will easily grasp concepts that are discussed in the book.
Author/Authors: Capelo, Luis
Pages: 148 | Published Date: 43250
Category: Data
ISBN
9781789534658
Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. :
This book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.
Author/Authors: Galea, Alex
Pages: 194 | Published Date: 43256
Category: Data
ISBN
9781789613971
Over-fetching and under-fetching data can negatively impact the performance of your web application. Future-proof your API structure and handle key development requirements by correctly defining types and schemas in GraphQL. :
Though fairly new, GraphQL is quickly rising in popularity when it comes to API development. This book will teach you everything you need to know to start building efficient APIs with GraphQL. You’ll begin by learning to create a simple scaffold application using Node.js and Express. Then, you’ll explore core GraphQL concepts and study how GraphQL integrates with other frameworks in real-life business applications. By the end of the book, you will be able to successfully create efficient client-server REST-like applications.
Author/Authors: Kimokoti, Brian
Pages: 128 | Published Date: 43307
Category: Programming
ISBN
9781789533750
Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application. :
Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems. This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications.
Author/Authors: Cutajar, James
Pages: 202 | Published Date: 43311
Category: Programming
ISBN
9781847197078
Build and integrate Virtual Private Networks using OpenVPN :
This book is an easy introduction to OpenVPN. While providing only necessary theoretical background, it takes a practical approach, presenting plenty of examples. It is written in a friendly style making this complex topic easy and a joy to read. It first covers basic VPN concepts, then moves to introduce basic OpenVPN configurations, before covering advanced uses of OpenVPN. This book is for both experienced and new OpenVPN users. If you are interested in security and privacy in the internet, or want to have your notebook or mobile phone connected safely to the internet, the server in your company, or at home, you will find this book useful. It presumes basic knowledge of Linux, but no knowledge of VPNs is required.
Author/Authors: Feilner, Markus | Graf, Norbert
Pages: 356 | Published Date: 40149
Category: Cloud & Networking
ISBN
9781789534320
Learn all the fundamentals of PHP with a book that blends theory with practice to build up the skills you need for modern web development. :
PHP is the preferred server-side scripting language for tech giants such as Facebook, Wikipedia, and Tumblr despite full-stack JavaScript gaining popularity with upcoming developers. This is because PHP performs better when dealing with heavy computations on the back end. In this book, you’ll learn everything you need to get up and running with the latest version of PHP, including package management with tools such as composer, secure database operations, and a whole host of other best practices that will help you stay a step ahead of traditional programmers.
Author/Authors: Carr, David | Gray, Markus
Pages: 214 | Published Date: 43312
Category: Programming
ISBN
9781785889707
A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters :
Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory.
Author/Authors: Ankam, Venkat
Pages: 326 | Published Date: 42641
Category: Data
ISBN
9781788624954
Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 :
Big Data Analytics with Hadoop 3 is for you if you are looking to build high-performance analytics solutions for your enterprise or business using Hadoop 3’s powerful features, or you’re new to big data analytics. A basic understanding of the Java programming language is required.
Author/Authors: Alla, Sridhar
Pages: 482 | Published Date: 43251
Category: Data
ISBN
9781787282193
Learn the basics of analytics on big data using Java, machine learning and other big data tools :
This book is for Java developers who are looking to perform data analysis in production environment. Those who wish to implement data analysis in their Big data applications will find this book helpful.
Author/Authors: Mehta, Rajat
Pages: 418 | Published Date: 42947
Category: Data
ISBN
9781786463722
Utilize R to uncover hidden patterns in your Big Data :
This book is intended for data analysts, scientists, data engineers, statisticians, and researchers who want to integrate R with their current or future Big Data workflows. It is assumed that readers have some experience in data analysis and an understanding of data management and algorithmic processing of large quantities of data; however they may lack specific skills related to R.
Author/Authors: Walkowiak, Simon
Pages: 506 | Published Date: 42580
Category: Data
