Bioinformatics with Python Cookbook. Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology - Second Edition

Tiago Antao

Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data.This book covers next-generation sequencing, genomics, metagenomics, population genetics, phylogenetics, and proteomics. You'll learn modern programming techniques to analyze large amounts of biological data. With the help of real-world examples, you'll convert, analyze, and visualize datasets using various Python tools and libraries.This book will help you get a better understanding of working with a Galaxy server, which is the most widely used bioinformatics web-based pipeline system. This updated edition also includes advanced next-generation sequencing filtering techniques. You'll also explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks such as Dask and Spark.By the end of this book, you'll be able to use and implement modern programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data.

How to Build Android Apps with Kotlin. A hands-on guide to developing, testing, and publishing your first apps with Android

Alex Forrester, Eran Boudjnah, Alexandru Dumbravan, Jomar Tigcal

Are you keen to get started building Android 11 apps, but don’t know where to start? How to Build Android Apps with Kotlin is a comprehensive guide that will help kick-start your Android development practice.This book starts with the fundamentals of app development, enabling you to utilize Android Studio and Kotlin to get started building Android projects. You'll learn how to create apps and run them on virtual devices through guided exercises. Progressing through the chapters, you'll delve into Android’s RecyclerView to make the most of lists, images, and maps, and see how to fetch data from a web service.Moving ahead, you'll get to grips with testing, learn how to keep your architecture clean, understand how to persist data, and gain basic knowledge of the dependency injection pattern. Finally, you'll see how to publish your apps on the Google Play store.You'll work on realistic projects that are split up into bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. You'll build apps to create quizzes, read news articles, check weather reports, store recipes, retrieve movie information, and remind you where you parked your car.By the end of this book, you'll have the skills and confidence to build your own creative Android applications using Kotlin.

VMware vSphere 5.x Datacenter Design Cookbook. This recipe-driven tutorial is the easy way to master VMware vSphere to design a virtual datacenter. You’ll learn in simple steps that cover everything from initial groundwork to creating professional design documentation

Hersey Cartwright

Packet Analysis with Wireshark. Leverage the power of Wireshark to troubleshoot your networking issues by using effective packet analysis techniques and performing improved protocol analysis

ANISH NATH

IBM Rational Team Concert 2 Essentials. Improve your team productivity with Integrated Process, Planning, and Collaboration using Team Concert Enterprise Edition

T C Fenstermaker, TC Fenstermaker, Suresh Krishna, Suresh Madhuvarsu

Software development is a collaborative effort needing active and timely input and response from all its members. Every day, project managers face ever-increasing pressures to produce high-quality software with increasing constraints. With IBM's Rational Team Concert collaborative software delivery environment, you can tremendously improve the productivity of your entire team through a web-based user-interface, continuous builds, a customizable process with work support, team support, integration and many more features.Written by Suresh Krishna and TC Fenstermaker, experts on Rational Team Concert, this book will help you leverage the full potential of the IBM Rational Team Concert platform to improve your individual and team performance. It follows a realistic case-study example enabling you to learn about Rational Team Concert fundamentals and best practices along the way to efficiently manage your software projects and tackle various software development challenges.Beginning with an in-depth analysis of software development challenges, the book goes on to introduce the Jazz Platform followed by a complete overview of the architecture of Rational Team Concert. After you install Rational Team Concert on WebSphere and learn to configure the server and clients, you will see all the features in relation to Web and Eclipse clients.From Chapter 3 onwards a realistic sample application is constructed to give you a strong grasp of your concepts. As you proceed, you learn source control, the mechanism to create, control, and manage documents, artifacts in a software development lifecycle, followed by different tools that Rational Team Concert offers for effective team and work management. You tackle the various challenges of Team Collaboration by integrated e-mail, instant messaging, events, feeds, and work items, the basic units of the task. You also learn the various aspects of the software development process and release planning along with process templates, which provide the initial process and iteration of your project. Finally, you extend the Rational Team Concert and make use of the Jazz Platform APIs to customize your process to fit your organizational needs.

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.

Lo-Dash Essentials. Implement fast, lean, and readable code effectively with Lo-Dash

Adam Boduch

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

Altanai Bisht