Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!

Ivan Idris

Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning.Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You’ll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining.In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code.By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.

Learning JavaScript Data Structures and Algorithms. Hone your skills by learning classic data structures and algorithms in JavaScript - Second Edition

Loiane Groner

This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you’ll encounter, we’ll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks.Toward the end of the book, you’ll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches.

WebRTC Integrator's Guide. Successfully build your very own scalable WebRTC infrastructure quickly and efficiently

Altanai Bisht

Modern API Development with Spring 6 and Spring Boot 3. Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3 - Second Edition

Sourabh Sharma

Spring is a powerful and widely adopted framework for building scalable and reliable web applications in Java, complemented by Spring Boot, a popular extension to the framework that simplifies the setup and configuration of Spring-based applications. This book is an in-depth guide to harnessing Spring 6 and Spring Boot 3 for web development, offering practical knowledge of building modern robust web APIs and services.The book covers a wide range of topics that are essential for API development, including RESTful web service fundamentals, Spring concepts, and API specifications. It also explores asynchronous API design, security, designing user interfaces, testing APIs, and the deployment of web services. In addition to its comprehensive coverage, this book offers a highly contextual real-world sample app that you can use as a reference for building different types of APIs for real-world applications. This sample app will lead you through the entire API development cycle, encompassing design and specification, implementation, testing, and deployment.By the end of this book, you’ll have learned how to design, develop, test, and deploy scalable and maintainable modern APIs using Spring 6 and Spring Boot 3, along with best practices for bolstering the security and reliability of your applications and improving your application's overall functionality.

C++ High Performance for Financial Systems. Build efficient and optimized financial systems by leveraging the power of C++

Ariel Silahian

Unlock the secrets of the finance industry and dive into the world of high-performance trading systems with C++ High Performance for Financial Systems. Trading systems are the backbone of the financial world, and understanding how to build them for optimal performance is crucial for success. If you've ever dreamt of creating scalable and cutting-edge financial software, this guide is your key to success. A cornerstone of this book is its coverage of system design and architecture. The book starts by outlining the role of C++ in finance and trading. You'll learn the principles and methodologies behind building systems that can handle vast amounts of data, execute complex trading strategies with ease, and maintain the highest levels of reliability. Armed with this knowledge, you'll be equipped to tackle even the most challenging trading scenarios.In the fast-paced world of finance, every millisecond counts. This book delves into low-latency strategies that will enable your trading systems to react with lightning speed. You’ll also learn the art of reducing latency, optimizing code, and leveraging the latest hardware and software techniques to gain a competitive edge in the market.By the end of this book, you’ll be well-versed in architecting a financial trading system as well as advanced strategies and new industry trends.

Apache Camel Developer's Cookbook. For Apache Camel developers, this is the book you'll always want to have handy. It's stuffed full of great recipes that are designed for quick practical application. Expands your Apache Camel abilities immediately

Scott Cranton, Jakub Korab

Apache Camel is a de-facto standard for developing integrations in Java, and is based on well-understood Enterprise Integration Patterns. It is used within many commercial and open source integration products. Camel makes common integration tasks easy while still providing the developer with the means to customize the framework when the situation demands it. Tasks such as protocol mediation, message routing and transformation, and auditing are common usages of Camel. Apache Camel Developer's Cookbook provides hundreds of best practice tips for using Apache Camel in a format that helps you build your Camel projects. Each tip or recipe provides you with the most important steps to perform along with a summary of how it works, with references to further reading if you need more information. This book is intended to be a reliable information source that is quicker to use than an Internet search. Apache Camel Developer's Cookbook is a quick lookup guide that can also be read from cover to cover if you want to get a sense of the full power of Apache Camel. This book provides coverage of the full lifecycle of creating Apache Camel-based integration projects, including the structure of your Camel code and using the most common Enterprise Integration patterns. Patterns like Split/Join and Aggregation are covered in depth in this book. Throughout this book, you will be learning steps to transform your data. You will also learn how to perform unit and integration testing of your code using Camel's extensive testing framework, and also strategies for debugging and monitoring your code. Advanced topics like Error Handling, Parallel Processing, Transactions, and Security will also be covered in this book. This book provides you with practical tips on using Apache Camel based on years of hands-on experience from hundreds of integration projects.

FPGA Programming for Beginners. Bring your ideas to life by creating hardware designs and electronic circuits with SystemVerilog

Frank Bruno

Field Programmable Gate Arrays (FPGAs) have now become a core part of most modern electronic and computer systems. However, to implement your ideas in the real world, you need to get your head around the FPGA architecture, its toolset, and critical design considerations. FPGA Programming for Beginners will help you bring your ideas to life by guiding you through the entire process of programming FPGAs and designing hardware circuits using SystemVerilog.The book will introduce you to the FPGA and Xilinx architectures and show you how to work on your first project, which includes toggling an LED. You’ll then cover SystemVerilog RTL designs and their implementations. Next, you’ll get to grips with using the combinational Boolean logic design and work on several projects, such as creating a calculator and updating it using FPGA resources. Later, the book will take you through the advanced concepts of AXI and show you how to create a keyboard using PS/2. Finally, you’ll be able to consolidate all the projects in the book to create a unified output using a Video Graphics Array (VGA) controller that you’ll design.By the end of this SystemVerilog FPGA book, you’ll have learned how to work with FPGA systems and be able to design hardware circuits and boards using SystemVerilog programming.

Big Data Analysis with Python. Combine Spark and Python to unlock the powers of parallel computing and machine learning

Ivan Marin, Ankit Shukla, Sarang VK

Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this book, you'll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.The book begins with an introduction to data manipulation in Python using pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated in memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The book also covers Spark and explains how it interacts with other tools.By the end of this book, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs.