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Podcasts
Security-Driven Software Development. Learn to analyze and mitigate risks in your software projects
Extend your software development skills to integrate security into every aspect of your projects. Perfect for any programmer or developer working on mission-critical applications, this hands-on guide helps you adopt secure software development practices. Explore core concepts like security specifi cation, modeling, and threat mitigation with the iterative approach of this book that allows you to trace security requirements through each phase of software development. You won’t stop at the basics; you’ll delve into multiple-layer att acks and develop the mindset to prevent them. Through an example application project involving an entertainment ticketing software system, you’ll look at high-profi le security incidents that have aff ected popular music stars and performers. Drawing from the author’s decades of experience building secure applications in this domain, this book off ers comprehensive techniques where problem-solving meets practicality for secure development.By the end of this book, you’ll have gained the expertise to systematically secure software projects, from crafting robust security specifi cations to adeptly mitigating multifaceted threats, ensuring your applications stand resilient in the face of evolving cybersecurity challenges.
Securing resources in the cloud is challenging, given that each provider has different mechanisms and processes. Cloud Security Handbook helps you to understand how to embed security best practices in each of the infrastructure building blocks that exist in public clouds.This book will enable information security and cloud engineers to recognize the risks involved in public cloud and find out how to implement security controls as they design, build, and maintain environments in the cloud. You'll begin by learning about the shared responsibility model, cloud service models, and cloud deployment models, before getting to grips with the fundamentals of compute, storage, networking, identity management, encryption, and more. Next, you'll explore common threats and discover how to stay in compliance in cloud environments. As you make progress, you'll implement security in small-scale cloud environments through to production-ready large-scale environments, including hybrid clouds and multi-cloud environments. This book not only focuses on cloud services in general, but it also provides actual examples for using AWS, Azure, and GCP built-in services and capabilities.By the end of this cloud security book, you'll have gained a solid understanding of how to implement security in cloud environments effectively.
The Music Producer's Ultimate Guide to FL Studio 21 is the essential handbook for any aspiring or professional music producer looking to take their craft to the next level.This comprehensive guide covers everything you need to make the most of FL Studio 21's powerful tools and features. You will learn the secrets to creating professional-sounding music, from creating chord progressions to tailoring your sounds to perfection with compression, equalization, and stereo width effects.You'll begin by getting up-and-running with FL Studio 21, creating a beat, and composing a melody. Once you're familiar with the piano roll and mixer console you'll learn how to use plugins to create your own instruments, explore audio width effects, and engage in sound design. You'll get insights into mixing and mastering, as well as promoting and selling your music.This new edition covers some of the most popular features and plugins in FL Studio 21, including FLEX, Luxeverb, Vintage Chorus, Vintage Phaser, Distructor, Fruity Newtime, VFX Sequencer, Pitch Shifter, Frequency Shifter, Fruity Granulizer, Multiband Delay, and Frequency Splitter.
Paul Singh, Anurag Karuparti, John Maeda
Generative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms.This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements.By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.
Natural Language Processing: Python and NLTK. Click here to enter text
Jacob Perkins, Nitin Hardeniya, Deepti Chopra, Iti Mathur, ...
Natural Language Processing is a field of computational linguistics and artificial intelligence that deals with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning. The number of human-computer interaction instances are increasing so it’s becoming imperative that computers comprehend all major natural languages. The first NLTK Essentials module is an introduction on how to build systems around NLP, with a focus on how to create a customized tokenizer and parser from scratch. You will learn essential concepts of NLP, be given practical insight into open source tool and libraries available in Python, shown how to analyze social media sites, and be given tools to deal with large scale text. This module also provides a workaround using some of the amazing capabilities of Python libraries such as NLTK, scikit-learn, pandas, and NumPy.The second Python 3 Text Processing with NLTK 3 Cookbook module teaches you the essential techniques of text and language processing with simple, straightforward examples. This includes organizing text corpora, creating your own custom corpus, text classification with a focus on sentiment analysis, and distributed text processing methods. The third Mastering Natural Language Processing with Python module will help you become an expert and assist you in creating your own NLP projects using NLTK. You will be guided through model development with machine learning tools, shown how to create training data, and given insight into the best practices for designing and building NLP-based applications using Python.This Learning Path combines some of the best that Packt has to offer in one complete, curated package and is designed to help you quickly learn text processing with Python and NLTK. It includes content from the following Packt products:? NTLK essentials by Nitin Hardeniya? Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins? Mastering Natural Language Processing with Python by Deepti Chopra, Nisheeth Joshi, and Iti Mathur