Feature Management with LaunchDarkly. Discover safe ways to make live changes in your systems and master testing in production

Michael Gillett, John Kodumal

Over the past few years, DevOps has become the de facto approach for designing, building, and delivering software. Feature management is now extending the DevOps methodology to allow applications to change on demand and run experiments to validate the success of new features. If you want to make feature management happen, LaunchDarkly is the tool for you.This book explains how feature management is key to building modern software systems. Starting with the basics of LaunchDarkly and configuring simple feature flags to turn features on and off, you'll learn how simple functionality can be applied in more powerful ways with percentage-based rollouts, experimentation, and switches. You'll see how feature management can change the way teams work and how large projects, including migrations, are planned. Finally, you'll discover various uses of every part of the tool to gain mastery of LaunchDarkly. This includes tips and tricks for experimentation, identifying groups and segments of users, and investigating and debugging issues with specific users and feature flag evaluations.By the end of the book, you'll have gained a comprehensive understanding of LaunchDarkly, along with knowledge of the adoption of trunk-based development workflows and methods, multi-variant testing, and managing infrastructure changes and migrations.

MuleSoft for Salesforce Developers. A practitioner's guide to deploying MuleSoft APIs and integrations for Salesforce enterprise solutions

Arul Christhuraj Alphonse, Alexandra Martinez, Akshata Sawant

MuleSoft for Salesforce Developers will help you build state-of-the-art enterprise solutions with flexible and scalable integration capabilities using MuleSoft’s Anypoint Platform and Anypoint Studio. If you’re a Salesforce developer looking to get started with this useful tool, look no further. This book will get you up to speed in no time, leveling up your integration developer skills.This essential guide will first introduce you to the fundamentals of MuleSoft and API-led connectivity, before walking you through the API life cycle and the Anypoint Studio IDE. Once you have the IDE set up, you’ll be ready to create Mule applications. You’ll look at the core components of MuleSoft and Anypoint Platform, and before long you’ll know how to build, transform, secure, test, and deploy applications using the wide range of components available to you. Finally, you’ll learn about using connectors to integrate MuleSoft with Salesforce and to fulfill a number of use cases, which will be covered in depth, along with interview and certification tips.By the end of this book, you will be confident building MuleSoft integrations at an enterprise scale and be able to gain the fundamental MuleSoft certification – MCD.

Algorithms and Data Structures with Python. A comprehensive guide to data structures & algorithms via an interactive learning experience

Cuantum Technologies LLC

Begin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development.Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges.The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.

Offensive Shellcode from Scratch. Get to grips with shellcode countermeasures and discover how to bypass them

Rishalin Pillay

Shellcoding is a technique that is executed by many red teams and used in penetration testing and real-world attacks. Books on shellcode can be complex, and writing shellcode is perceived as a kind of dark art. Offensive Shellcode from Scratch will help you to build a strong foundation of shellcode knowledge and enable you to use it with Linux and Windows.This book helps you to explore simple to more complex examples of shellcode that are used by real advanced persistent threat (APT) groups. You'll get to grips with the components of shellcode and understand which tools are used when building shellcode, along with the automated tools that exist to create shellcode payloads. As you advance through the chapters, you'll become well versed in assembly language and its various components, such as registers, flags, and data types. This shellcode book also teaches you about the compilers and decoders that are used when creating shellcode. Finally, the book takes you through various attacks that entail the use of shellcode in both Windows and Linux environments.By the end of this shellcode book, you'll have gained the knowledge needed to understand the workings of shellcode and build your own exploits by using the concepts explored.

Blender 3D Printing Essentials. Learn 3D printing using the free open-source Blender software. This book gives you both an overview and practical instructions, enabling you to learn how to scale, build, color, and detail a model for a 3D printer

Gordon Fisher, Ton Roosendaal

Like computing, 3D printing has been around for decades but it was expensive and was only used for making complex prototypes. Now, prices have dropped and third-party printing services such as Shapeways have become available, making the technology available to everyone.Blender is an open source modeling and animation program popular in the 3D printing community. 3D printing demands more of a modeler than animation or virtual reality. The model maker must engineer their model to work in the real world. They must keep in mind the particular needs of the materials and printers that they are planning to use to print their model. This practical guide gives Blender users all the information they need to design high-quality 3D printed objects. With a solid exploration of the 3D modeling process, design considerations for 3D printing, plus step-by-step exercises, you will soon be comfortable making 3D objects for real-world enjoyment. Starting with an overview of 3D printing, this guide moves onto to precision measurement, fixing problems in a 3D model, and how to make it light and strong enough for real-world use.You will learn how to scale, build, and detail a model for a 3D printer. You will learn to color and decorate it, as well as making parts precisely in the size you want them, so that multi-part objects fit together smoothly. You will also learn tips on saving money when you have printed your model.With the help of this guide, you will be able to complete your project and learn how to export the file so it is ready for a variety of 3D printers.

Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition

Alberto Boschetti, Luca Massaron

Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users.

Microsoft Azure Fundamentals Certification and Beyond. Simplified cloud concepts and core Azure fundamentals for absolute beginners to pass the AZ-900 exam

Steve Miles, Peter De Tender

This is the digital and cloud era, and Microsoft Azure is one of the top cloud computing platforms. It’s now more important than ever to understand how the cloud functions and the different services that can be leveraged across the cloud.This book will give you a solid understanding of cloud concepts and Microsoft Azure, starting by taking you through cloud concepts in depth, then focusing on the core Azure architectural components, solutions, and management tools. Next, you will understand security concepts, defense-in-depth, and key security services such as Network Security Groups and Azure Firewall, as well as security operations tooling such as Azure Security Center and Azure Sentinel. As you progress, you will understand how identity, governance, privacy, and compliance are managed in Azure. Finally, you will get to grips with cost management, service-level agreements, and service life cycles. Throughout, the book features a number of hands-on exercises to support the concepts, services, and solutions discussed. This provides you with a glimpse of real-world scenarios, before finally concluding with practice questions for AZ-900 exam preparation.By the end of this Azure book, you will have a thorough understanding of cloud concepts and Azure fundamentals, enabling you to pass the AZ-900 certification exam easily.

Machine Learning with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala

Md. Rezaul Karim

Scala is a highly scalable integration of object-oriented nature and functional programming concepts that make it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to develop and train effective machine learning models in Scala.The book starts with an introduction to machine learning, while covering deep learning and machine learning basics. It then explains how to use Scala-based ML libraries to solve classification and regression problems using linear regression, generalized linear regression, logistic regression, support vector machine, and Naïve Bayes algorithms.It also covers tree-based ensemble techniques for solving both classification and regression problems. Moving ahead, it covers unsupervised learning techniques, such as dimensionality reduction, clustering, and recommender systems. Finally, it provides a brief overview of deep learning using a real-life example in Scala.