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Systems Integration With Python 2nd Edition 2024


Systems Integration With Python 2nd Edition 2024
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Systems Integration With Python 2nd Edition 2024


Systems Integration With Python 2nd Edition 2024
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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2024-11-03

Systems Integration With Python 2nd Edition 2024 written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-03 with Business & Economics categories.


Discover "SYSTEMS INTEGRATION WITH PYTHON 2nd Edition 2024: A Quick and Practical Guide! Essential for Students and Professionals" – your definitive resource for mastering system integration in a practical and efficient way. Whether you are a beginner or an experienced professional, this book is designed to be the indispensable tool that will take your skills to the next level. Written by Diego Rodrigues, a best-selling author with over 1800 titles published in six languages, this manual offers a comprehensive approach that covers everything from the fundamentals of integration to the most advanced practices. With clear and direct language, each chapter is structured to provide deep learning and immediate application. You will learn how to connect systems through RESTful APIs, integrate cloud services like AWS, Google Cloud, and Azure, and manage both relational and non-relational databases with Python. Additionally, the book explores messaging techniques, process automation with CI/CD, and much more, all aimed at preparing you to face the technological challenges of today and tomorrow. Open the sample of this book and see how system integration can revolutionize your practices, optimizing processes, improving efficiency, and providing a strategic vision that will boost your projects and career. Tags: system integration python APIs RESTful integration databases cloud services Flask Django FastAPI CI/CD process automation continuous microservices messaging RabbitMQ Kafka SQLAlchemy Celery NoSQL MongoDB Redis Cassandra software development automation serverless DevOps infrastructure as code systems architecture cybersecurity monitoring testing data integration ETL data pipelines cloud storage MySQL PostgreSQL SQLite Docker Kubernetes Jenkins Ansible Terraform GitHub Bitbucket Jenkinsfile PySpark Hadoop Airflow Swagger OpenAPI YAML JSON XML REST SOAP MQTT WebSockets BLE edge computing machine learning artificial intelligence AWS Google Cloud Azure databricks Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes Kali Linux Nmap Metasploit Wireshark information security pen test cybersecurity Linux distributions ethical hacking vulnerability analysis system exploration wireless attacks web application security malware analysis social engineering Android iOS Social Engineering Toolkit SET computer science IT professionals cybersecurity careers cybersecurity expertise cybersecurity library cybersecurity training Linux operating systems cybersecurity tools ethical hacking tools security testing penetration test cycle security concepts mobile security cybersecurity fundamentals cybersecurity techniques cybersecurity skills cybersecurity industry global cybersecurity trends Kali Linux tools cybersecurity education cybersecurity innovation penetration test tools cybersecurity best practices global cybersecurity companies cybersecurity solutions IBM Google Microsoft AWS Cisco Oracle cybersecurity consulting cybersecurity framework network security cybersecurity courses cybersecurity tutorials Linux security cybersecurity challenges cybersecurity landscape cloud security cybersecurity threats cybersecurity compliance cybersecurity research cybersecurity technology



Artificial Intelligence For Cognitive Systems Deep Learning Neuro Symbolic Integration And Human Centric Intelligence


Artificial Intelligence For Cognitive Systems Deep Learning Neuro Symbolic Integration And Human Centric Intelligence
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Author : Samit Shivadekar
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-30

Artificial Intelligence For Cognitive Systems Deep Learning Neuro Symbolic Integration And Human Centric Intelligence written by Samit Shivadekar and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.


Artificial intelligence quickly changed from a theory to a practical power - it spreads through every part of modern life. As people go from specific uses to more general kinds of intelligence, they must face a main change. This change involves what machines do and how people think about intelligence. The book, Cognitive AI - From Deep Learning to Artificial General Intelligence, looks at that change. This writing serves a wide, serious group of people - it is for graduate students and researchers in artificial intelligence and cognitive science. Educators along with industry workers also read this to get a better grasp of the path from current AI systems to future cognitive architectures. We do not just list technologies. We deal with the concepts, morals, technical issues as well as societal problems that sit at the core of creating machines that think. The chapters lay out this story bit by bit; they start with basic learning systems. They move to cognitive modeling and designs. The book finishes with important questions about governance, combining fields along with how people will work in the future. Throughout the text, the reader learns about current subjects. Some of these are large language models, explaining how systems work, reasoning with symbols plus networks, the safety of general artificial intelligence, and people working with machines. I appreciate the researchers, collaborators along with students who inspired this work. The growing group of thinkers also recognizes that making intelligent systems requires scientific exactness and philosophical thought. My hope is that this book guides plus starts talks for anyone who wants AI to develop responsibly and creatively.



Proceedings Of Iemtronics 2024


Proceedings Of Iemtronics 2024
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Author : Phillip G. Bradford
language : en
Publisher: Springer Nature
Release Date : 2025-01-29

Proceedings Of Iemtronics 2024 written by Phillip G. Bradford and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-29 with Computers categories.


This book gathers selected research papers presented at IEMTRONICS 2024 (International IoT, Electronics and Mechatronics Conference), held during 3–5 April 2024 in London, United Kingdom in hybrid mode. This book presents a collection of state-of-the-art research work involving cutting-edge technologies in the field of IoT, electronics mechatronics, and related areas. The work is presented in two volumes.



Ultimate Robotics Programming With Ros 2 And Python


Ultimate Robotics Programming With Ros 2 And Python
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Author : Jonathan Cacace
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-12-30

Ultimate Robotics Programming With Ros 2 And Python written by Jonathan Cacace and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.


TAGLINE Learn Robotics and ROS 2 with Practical Examples KEY FEATURES ● Solve basic and complex robotics problems through practical examples. ● Master ROS 2 programming fundamentals with Python for robotics. ● Simulate mobile and industrial robots using modern Gazebo tools. DESCRIPTION Robot Operating System (ROS) and Python are essential tools for developing advanced robotics applications, offering reliability and scalability for both research and industrial solutions. [Ultimate Robotics Programming with ROS 2 and Python] introduces readers to ROS 2 without requiring prior experience in robotics. It blends theoretical explanations with practical exercises, empowering readers to solve specific robotics problems while understanding the reasoning behind various approaches. The book covers a broad spectrum of robotics topics, including mobile robots, industrial manipulators, and aerial robots. These systems are simulated using the modern Gazebo simulator and programmed with ROS 2’s out-of-the-box tools and custom solutions using the ROS 2 API. The book also delves into computer vision, generative AI, and machine learning, providing hands-on examples of real-world applications. With intermediate challenges designed to reinforce learning, this book serves as an all-encompassing guide for anyone looking to master robotics programming with ROS 2 and Python. Step into the future of robotics and gain the expertise to build sophisticated, real-world robotic systems that can tackle the complex challenges of tomorrow. WHAT WILL YOU LEARN ● Understand the fundamentals of ROS 2 for robotics development. ● Develop robotics applications using Python and ROS 2 programming. ● Master advanced ROS 2 packages for navigation and manipulation. ● Implement behavior trees in ROS 2 with Python for intelligent robots. ● Utilize modern Gazebo for realistic robot simulation with ROS 2. ● Integrate Large Language Models (LLMs) with ROS 2 for advanced functionalities. ● Perform computer vision tasks with ROS 2 for intelligent robots. WHO IS THIS BOOK FOR? This book is tailored for software developers and engineers looking to dive into robotics programming. It’s perfect for ROS developers seeking to expand their skills and those new to ROS 2, offering in-depth insights into both foundational concepts and advanced techniques in robotics development. TABLE OF CONTENTS 1. Introduction to Robot Operating System 2 2. Hands-on ROS 2 Programming Using Python 3. Supplementary Tools for ROS 2 4. Robot Visualization and Simulation 5. Writing Tests Using Pytest for ROS 2 Nodes 6. Controlling an Inverted Pendulum with a PID Controller 7. Laser-based Obstacle Avoidance with a Wheeled Mobile Robot 8. ROS 2 Behaviour Trees Using Python 9. Surveillance System Using Behaviour Trees 10. Robot Navigation Using ROS 2 Navigation Stack (Nav2) 11. Robot Arm Control Using MoveIt 2 12. Programming Aerial Robots Using ROS 2 13. Computer Vision Using ROS 2 14. Object Detection Using ROS 2 15. Using Large Language Models with ROS 2 16. Deep Reinforcement Learning Using ROS 2 Index



Proceedings Of The International Conferences On Digital Technology Driven Engineering 2024


Proceedings Of The International Conferences On Digital Technology Driven Engineering 2024
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Author : Nikos D. Lagaros
language : en
Publisher: Springer Nature
Release Date : 2025-08-23

Proceedings Of The International Conferences On Digital Technology Driven Engineering 2024 written by Nikos D. Lagaros and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with Computers categories.


This book gathers the latest advances, innovations, and applications in the field of optimization-driven architectural design, presented at the 2nd International Conference on Optimization Driven Architectural Design, held in Amman, Jordan, on October 1–4, 2024, jointly with conferences OPT-ii2024 and ADDOPTML2024. It covers topics such as optimization software, evolutionary algorithms & swarm optimization, robust design optimization & reliability based design optimization, optimization in micro- and nano-mechanics, multiscale & additive manufacturing, multidisciplinary and multiphysics design optimization, multiple criteria decision making and optimization, generative and parametric design, parallel and distributed computing in optimization. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.



Integrated Waste Biorefineries Achieving Sustainable Development Goals 2nd Edition


Integrated Waste Biorefineries Achieving Sustainable Development Goals 2nd Edition
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Author : Mohammad Rehan
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-11

Integrated Waste Biorefineries Achieving Sustainable Development Goals 2nd Edition written by Mohammad Rehan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-11 with Technology & Engineering categories.


The United Nations' Sustainable Development Goals (SDGs) are designed to revolutionize societies to prepare for the future challenges. However, the practical implementation of such goals in many domains is are yet to be achieved despite of unique essence. Sustainable energy production (aligned with SDG 7), clean water and sanitation (aligned with SDG 6), sustainable waste services (aligned with SDG 11), and mitigating climate change impacts (aligned with SDG 13) have been the prime focus of SDGs. Moreover, much attention is being paid to research and development activities on waste prevention, reduction, recycling, and reuse to achieve responsible consumption and production (aligned with SDG 12). Waste biorefineries have emerged as a sustainable environmental management solution to achieve not only the aforementioned SDGs, but also to accomplish no poverty (aligned with SDG 1) and zero hunger (aligned with SDG 2) and to maintain well-being and good health aligned with (SDG 3) and decent work and economic growth (aligned with SDG 8) worldwide. This is true because integrated waste biorefineries can efficiently and sustainably produce fuels, heat, energy, power, and multiple value-added products and chemicals. It can further facilitate the transition from linear to circular economies and mitigate the major challenges faced, including environmental pollution, climate change, and adverse effects on public health. This Research Topic will focus on different types of waste biorefineries, current status, practical implications, optimization of waste-to-energy technologies, detailed life assessment studies, and future opportunities with a vision to achieve SDGs in the areas of sustainable energy generation, waste management, circular economies, and climate change mitigation. The editorial team of this special issue, consisting of world-renowned scientists including Highly Cited Researchers, welcomes submissions of original research articles, review articles, short communications, industrial and/or country/region case studies that covers the following enlisted topics: • Waste biorefineries (e.g., organic waste biorefinery, agricultural and forestry waste biorefinery, etc.) • Integration of different types of biorefineries • Sustainable development goals • Waste to energy technologies • Energy and resource recovery from biomass and other waste • Renewable and sustainable energy systems • Biomass and waste supply chain • Sustainable waste management systems • Mitigation of environmental pollution and climate change • Life cycle assessment • Sustainable circular and bio-based economies.



Crispr Cas Systems For Rna And Genome Editing


Crispr Cas Systems For Rna And Genome Editing
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-03-25

Crispr Cas Systems For Rna And Genome Editing written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Science categories.


CRISPR-Cas Systems for RNA and Genome Editing, Volume 711 in this ongoing series, highlights new advances in the field, with this new volume presenting interesting chapters on topics such as Massively parallel genomic perturbations with multi-target CRISPR interrogates Cas9 activity and DNA repair at endogenous sites, Genome oligopaint via local denaturation fluorescence in situ hybridization, Biochemical reconstitution of a type I-B CRISPR-associated transposon, Visualizing the conformational landscape of CRISPR-Cas9 through kinetics-informed structural studies, and much more.Additional sections cover Analysis of metal-dependent DNA nicking activities by Cas endonucleases, Biochemically characterizing the accessory proteins and ribonucleoprotein complexes of Type IV CRISPR systems, Prime editing in bacteria with BacPE, Preparation of high-purity CRISPR-based DNA base editor RNPs, Bacterial directed evolution of CRISPR base editors, Cloning and validating systems for high throughput molecular recording, Using CRISPR-Cas13 for viral nucleic acid detection, and more. - Provides the latest information on DNA/RNA research - Offers outstanding and original reviews on a range of DNA/RNA research topics - Serves as an indispensable reference for researchers and students alike



Statistics With Rust Second Edition


Statistics With Rust Second Edition
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Author : Keiko Nakamura
language : en
Publisher: GitforGits
Release Date : 2024-10-10

Statistics With Rust Second Edition written by Keiko Nakamura and has been published by GitforGits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-10 with Computers categories.


"Statistics with Rust, Second Edition" is designed to help you learn quickly, focusing on practical statistics using Rust scripts. The book is for readers who know the basics of statistics and machine learning. It gives quick explanations so you can try out concepts with hands-on coding. The book uses the newest version of Rust, 1.72.0, to help users build and secure statistical and machine learning algorithms. Each chapter is full of useful programs and code examples that will walk you through tasks like data manipulation, statistical tests, regression analysis, building machine learning models, and natural language processing. This second edition brings all chapters up to date with the latest in stats and Rust programming. It focuses on how you can put these things to practical use, with a detailed look at advanced algorithms like PCA, SVM, neural networks, and ensemble methods. We've also included some natural language processing topics, such as text preprocessing, tokenization, and word embeddings. The book also shows you how to combine Rust's performance and safety with statistical analysis, giving you the tools you need to do data analysis efficiently and reliably. The book's got lots of practical code and explanations that are easy to understand, which helps you learn the skills you need to get to grips with data using Rust. Table of Content Introduction to Rust for Statisticians Data Handling and Preprocessing Descriptive Statistics Probability Distributions and Random Variables Inferential Statistics Regression Analysis Bayesian Statistics Multivariate Statistical Methods Nonlinear Models and Machine Learning Model Evaluation and Validation Text and Natural Language Processing



Rust For Network Programming And Automation Second Edition


Rust For Network Programming And Automation Second Edition
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Author : Gilbert Stew
language : en
Publisher: GitforGits
Release Date : 2024-06-14

Rust For Network Programming And Automation Second Edition written by Gilbert Stew and has been published by GitforGits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-14 with Computers categories.


Designed with the needs of those interested in network programming and automation in mind, this updated "Rust for Network Programming and Automation" explores the realism of network programming within the robust Rust ecosystem. Building on top of Rust 1.68, this book takes you step-by-step through the essentials of network protocols, packet analysis, and network administration with up-to-date and thorough material. Starting with the fundamentals of TCP/IP, you will be introduced to the core principles of network communication, such as data packet structure and transmission. The book then moves on to cover important topics like IP addressing, subnetting, and gateway configuration, ensuring a thorough understanding of network fundamentals. The chapters focus on the practical aspects of network programming, particularly the use of popular Rust libraries such as Tokio, Mio, and Rust-async for asynchronous network programming. These libraries are thoroughly examined, demonstrating how to create TCP listeners, bind sockets, and handle incoming connections efficiently. Packet manipulation and analysis are also important topics, with practical examples using libraries like pnet and libtins. You will learn how to capture, process, and analyze network packets to gain an understanding of network traffic and identify potential problems. The book also focuses on network and performance monitoring, showing you how to set up and use various tools to track network availability, utilization, latency, packet loss, and jitter. Understanding these metrics allows you to ensure optimal network performance and reliability. Cloud network configuration, VPN setup, and data center networking are thoroughly covered, providing the necessary knowledge to manage and automate complex network environments. Each chapter is intended to build on the previous one, resulting in a coherent and comprehensive learning experience. With clear explanations, practical examples, and up-to-date content, "Rust for Network Programming and Automation" provides you with the skills you need to get started in network programming and automation with the most recent Rust release. Anyone looking to learn Rust for network-centric applications can use this book, as it covers the basics as well as advanced topics. Key Learnings Become fluent in the fundamentals of Rust-based TCP/IP programming. Use the pnet and libtins libraries to capture and analyze packets in depth. Use the Rust-async, Tokio, and Mio libraries to program asynchronous networks efficiently. Be well-versed in IP addressing, subnetting, and configuring gateways to assure a secure network installation. Learn to use Rust and OpenVPN to set up VPN connections. Get skilled in monitoring network availability, latency, and packet loss. Optimize network performance and uptime by automating routine tasks and configurations. Apply sophisticated Rust methods to the configuration and management of data center networks. Utilize AWS and rusoto to establish and oversee VPCs. Use packet analysis and monitoring to improve network security by identifying threats. Table of Content Basics of Network Automation Essentials of Linux for Networks Rust Basics for Networks Core Rust for Networks Rust Commands for Networks Programming & Designing Networks Establishing & Managing Network Protocols Packet & Network Analysis Network Performance Monitoring



Proceedings Of The 2024 2nd International Conference On Image Algorithms And Artificial Intelligence Iciaai 2024


Proceedings Of The 2024 2nd International Conference On Image Algorithms And Artificial Intelligence Iciaai 2024
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Author : Yulin Wang
language : en
Publisher: Springer Nature
Release Date : 2024-10-12

Proceedings Of The 2024 2nd International Conference On Image Algorithms And Artificial Intelligence Iciaai 2024 written by Yulin Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Computers categories.


This is an Open Access book. 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI2024) will be held in Singapore (Online Participation is acceptable) during August 9-11, 2024. ICIAAI aims to provide a good forum for scientists, researchers, engineers and industrial practitioners throughout the world to present and discuss the latest technology advancement as well as future directions and trends in image, algorithms and artificial intelligence . ​The scope of ICIAAI 2024 covers research areas such as imaging, algorithms and artificial intelligence. Related fields of research include computer software, programming languages, software engineering, computer science applications, artificial intelligence, Intelligent data analysis, deep learning, high-performance computing, signal processing, information systems, computer graphics, computer-aided design, Computer vision, etc.​ ​The objectives of the conference are:The conference aims to provide a platform for experts, scholars, engineers and technicians engaged in the research of image, algorithm and artificial intelligence to share scientific research results and cutting-edge technologies. It will be a perfect gathering to strengthen academic research and discussion, promote the development and progress of relevant research and application, and promote the development of disciplines and promote talent training.