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Podcasty
This book, authored by a seasoned Senior Data Architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability.You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data meshes, and how to build a cutting-edge data platform on AWS.By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro!
Python is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through a range of techniques for text processing, from basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization.Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, and parts of speech tagging to help you to prepare your data. You’ll then learn ways of extracting and representing grammatical information, such as dependency parsing and anaphora resolution, discover different ways of representing the semantics using bag-of-words, TF-IDF, word embeddings, and BERT, and develop skills for text classification using keywords, SVMs, LSTMs, and other techniques. As you advance, you’ll also see how to extract information from text, implement unsupervised and supervised techniques for topic modeling, and perform topic modeling of short texts, such as tweets. Additionally, the book shows you how to develop chatbots using NLTK and Rasa and visualize text data.By the end of this NLP book, you’ll have developed the skills to use a powerful set of tools for text processing.
Mastering Python Forensics. Master the art of digital forensics and analysis with Python
Michael Spreitzenbarth, Johann Uhrmann
Digital forensic analysis is the process of examining and extracting data digitally and examining it. Python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools. This book will teach you how to perform forensic analysis and investigations by exploring the capabilities of various Python libraries. The book starts by explaining the building blocks of the Python programming language, especially ctypes in-depth, along with how to automate typical tasks in file system analysis, common correlation tasks to discover anomalies, as well as templates for investigations. Next, we’ll show you cryptographic algorithms that can be used during forensic investigations to check for known files or to compare suspicious files with online services such as VirusTotal or Mobile-Sandbox.Moving on, you’ll learn how to sniff on the network, generate and analyze network flows, and perform log correlation with the help of Python scripts and tools. You’ll get to know about the concepts of virtualization and how virtualization influences IT forensics, and you’ll discover how to perform forensic analysis of a jailbroken/rooted mobile device that is based on iOS or Android.Finally, the book teaches you how to analyze volatile memory and search for known malware samples based on YARA rules.
The field of robotics is expanding, and this is the perfect time to learn how to create robots at home for different purposes. This book will help you take your first steps in planning, building, and programming a robot with Raspberry Pi Pico, an impressive controller bursting with I/O capabilities. After a quick tour of Pico, you’ll begin designing a robot chassis in 3D CAD. With easy-to-follow instructions, shopping lists, and plans, you’ll start building the robot. Further, you’ll add simple sensors and outputs to extend the robot, reinforce your design skills, and build your knowledge in programming with CircuitPython. You’ll also learn about interactions with electronics, standard robotics algorithms, and the discipline and process for building robots. Moving forward, you’ll learn how to add more complicated sensors and robotic behaviors, with increasing complexity levels, giving you hands-on experience. You’ll learn about Raspberry Pi Pico’s excellent features, such as PIO, adding capabilities such as avoiding walls, detecting movement, and compass headings. You’ll combine these with Bluetooth BLE for seeing sensor data and remotely controlling your robot with a smartphone. Finally, you’ll program the robot to find its location in an arena.By the end of this book, you’ll have built a robot at home, and be well equipped to build more with different levels of complexity.
With Docker, it is possible to get a lot of apps running on the same old servers, making it very easy to package and ship programs. The ability to extend Docker using plugins and load third-party plugins is incredible, and organizations can massively benefit from it.In this book, you will read about what first and third party tools are available to extend the functionality of your existing Docker installation and how to approach your next Docker infrastructure deployment. We will show you how to work with Docker plugins, install it, and cover its lifecycle. We also cover network and volume plugins, and you will find out how to build your own plugin. You’ll discover how to integrate it with Puppet, Ansible, Jenkins, Flocker, Rancher, Packer, and more with third-party plugins. Then, you’ll see how to use Schedulers such as Kubernetes and Amazon ECS. Finally, we’ll delve into security, troubleshooting, and best practices when extending Docker.By the end of this book, you will learn how to extend Docker and customize it based on your business requirements with the help of various tools and plugins.
As an open source embedded single-board computer with many standard interfaces, Beagleboard is ideal for building embedded audio/video systems to realize your practical ideas. The challenge is how to design and implement a good digital processing algorithm on Beagleboard quickly and easily without intensive low-level coding.Rapid BeagleBoard Prototyping with MATLAB and Simulink is a practical, hands-on guide providing you with a number of clear, step-by-step exercises which will help you take advantage of the power of Beagleboard and give you a good grounding in rapid prototyping techniques for your audio/video applications.Rapid BeagleBoard Prototyping with MATLAB and Simulink looks at rapid prototyping and how to apply these techniques to your audio/video applications with Beagleboard quickly and painlessly without intensive manual low-level coding. It will take you through a number of clear, practical recipes that will help you to take advantage of both the Beagleboard hardware platform and Matlab/Simulink signal processing. We will also take a look at building S-function blocks that work as hardware drivers and interfaces for Matlab/Simulink. This gives you more freedom to explore the full range of advantages provided by Beagleboard.By the end of this book, you will have a clear idea about Beagleboard and Matlab/Simulink rapid prototyping as well as how to develop voice recognition systems, motion detection systems with I/O access, and serial communication for your own applications such as a smart home.
Raymond Chandler, Darren Schreiber, Anthony Minessale II, Michael Collins
FreeSWITCH is an open source telephony platform designed to facilitate the creation of voice, chat, and video applications. It can scale from a soft-phone to a PBX and even up to an enterprise-class softswitch.In the FreeSWITCH Cookbook, members of the FreeSWITCH development team share some of their hard-earned knowledge with you in the book's recipes. Use this knowledge to improve and expand your FreeSWITCH installations.The FreeSWITCH Cookbook is an essential addition to any VoIP administrator's library.The book starts with recipes on how to handle call routing and then discusses connecting your FreeSWITCH server to the outside world.It then teaches you more advanced topics like CDR handling, practical examples of controlling FreeSWITCH with the event socket, and configuring many features commonly associated with a PBX installation.