Modern Graph Theory Algorithms with Python. Harness the power of graph algorithms and real-world network applications using Python

Colleen M. Farrelly, Franck Kalala Mutombo, Michael Giske

We are living in the age of big data, and scalable solutions are a necessity. Network science leverages the power of graph theory and flexible data structures to analyze big data at scale.This book guides you through the basics of network science, showing you how to wrangle different types of data (such as spatial and time series data) into network structures. You’ll be introduced to core tools from network science to analyze real-world case studies in Python. As you progress, you’ll find out how to predict fake news spread, track pricing patterns in local markets, forecast stock market crashes, and stop an epidemic spread. Later, you’ll learn about advanced techniques in network science, such as creating and querying graph databases, classifying datasets with graph neural networks (GNNs), and mining educational pathways for insights into student success. Case studies in the book will provide you with end-to-end examples of implementing what you learn in each chapter.By the end of this book, you’ll be well-equipped to wrangle your own datasets into network science problems and scale solutions with Python.

PLCs for Beginners. An introductory guide to building robust PLC programs with Structured Text

M. T. White

With the rise of smart factories and advanced technology, the demand for PLC programmers with expertise beyond ladder logic is surging. Written by M.T. White, a seasoned DevOps engineer and adjunct CIS instructor, this guide offers insights from the author’s extensive experience in PLC and HMI programming across industries. This book introduces a fresh approach to PLC programming, preparing you for future automation challenges through computer science and text-based programming.Starting with the basic components of PLCs and their integration with other modules, this book gives you a clear understanding of system functionality and helps you master PLC program execution by learning about flow and essential components for effective programming. You'll understand program design with pseudocode and flowcharts, vital for planning programs, and cover Boolean logic intricacies, harnessing logical functions and truth tables for precise control statements. The book gives you a comprehensive grasp of Structured Text, its syntax and features crucial for efficient programming. The book also focuses on advanced topics like cybersecurity in PLC systems and leveraging generative AI (GenAI), such as ChatGPT, to enhance productivity.By the end of this book, you’ll be able to design real-world projects using pseudocode and flowcharts, and implement those designs in Structured Text.

Odoo 14 Development Cookbook. Rapidly build, customize, and manage secure and efficient business apps using Odoo's latest features - Fourth Edition

Parth Gajjar, Alexandre Fayolle, Holger Brunn, Daniel Reis

With its latest iteration, the powerful Odoo framework released a wide variety of features for rapid application development. This updated Odoo development cookbook will help you explore the new features in Odoo 14 and learn how to use them to develop Odoo applications from scratch. You'll learn about the new website concepts in Odoo 14 and get a glimpse of Odoo's new web-client framework, the Odoo Web Library (OWL).Once you've completed the installation, you'll begin to explore the Odoo framework with real-world examples. You'll then create a new Odoo module from the ground up and progress to advanced framework concepts. You'll also learn how to modify existing applications, including Point of Sale (POS) applications. This book isn't just limited to backend development; you'll discover advanced JavaScript recipes for creating new views and widgets. As you progress, you'll learn about website development and become a quality Odoo developer by studying performance optimization, debugging, and automated testing. Finally, you'll delve into advanced concepts such as multi-website, In-App Purchasing (IAP), Odoo.sh, the IoT Box, and security.By the end of the book, you'll have all the knowledge you need to build impressive Odoo applications and you'll be well versed in development best practices that will come in handy when working with the Odoo framework.

Architecting Solutions with SAP Business Technology Platform. An architectural guide to integrating, extending, and innovating enterprise solutions using SAP BTP

Serdar Simsekler, Eric Du

SAP BTP is the foundation of SAP’s intelligent and sustainable enterprise vision for its customers. It’s efficient, agile, and an enabler of innovation. It’s technically robust, yet its superpower is its business centricity.If you’re involved in building IT and business strategies, it’s essential to familiarize yourself with SAP BTP to see the big picture for digitalization with SAP solutions. Similarly, if you have design responsibilities for enterprise solutions, learning SAP BTP is crucial to produce effective and complete architecture designs.This audiobook teaches you about SAP BTP in five parts. First, you’ll see how SAP BTP is positioned in the intelligent enterprise. In the second part, you’ll learn the foundational elements of SAP BTP and find out how it operates. The next part covers integration architecture guidelines, integration strategy considerations, and integration styles with SAP’s integration technologies. Later, you’ll learn how to use application development capabilities to extend enterprise solutions for innovation and agility. This part also includes digital experience and process automation capabilities. The last part covers how SAP BTP can facilitate data-to-value use cases to produce actionable business insights.By the end of this SAP audiobook, you’ll be able to architect solutions using SAP BTP to deliver high business value.

Git Essentials. Create, merge, and distribute code with Git, the most powerful and flexible versioning system available

Ferdinando Santacroce

Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data

Ivan Idris, Luiz Felipe Martins, Martin Czygan, Phuong Vo.T.H, ...

Data analysis is the process of applying logical and analytical reasoning to study each component of data present in the system. Python is a multi-domain, high-level, programming language that offers a range of tools and libraries suitable for all purposes, it has slowly evolved as one of the primary languages for data science. Have you ever imagined becoming an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? If yes, look no further, this is the course you need!In this course, we will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing color maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithms and correlations. You’ll then find your way around different data and numerical problems, get to grips with Spark and HDFS, and set up migration scripts for web mining. You’ll be able to quickly and accurately perform hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. Finally, you will delve into advanced techniques such as performing regression, quantifying cause and effect using Bayesian methods, and discovering how to use Python’s tools for supervised machine learning.The course provides you with highly practical content explaining data analysis with Python, from the following Packt books:1. Getting Started with Python Data Analysis.2. Python Data Analysis Cookbook.3. Mastering Python Data Analysis.By the end of this course, you will have all the knowledge you need to analyze your data with varying complexity levels, and turn it into actionable insights.

Technical Program Manager's Handbook. Unlock your TPM potential by leading technical projects successfully and elevating your career path - Second Edition

Joshua Alan Teter

The role of the Technical Program Manager (TPM) is crucial in the tech industry, bridging the gap between technical expertise and business acumen. The second edition of the Technical Program Manager’s Handbook offers a comprehensive guide to excelling in this role. Building on the foundational concepts from the first edition, this updated version introduces new chapters that explore the integration of AI and Emotional Intelligence (EI) in program management. These crucial additions complement the broader focus of the book on bridging business and technology but don’t overshadow it. You'll learn how to apply AI-driven tools to enhance project planning, risk management, and stakeholder communication, as well as how to leverage EI to build strong team relationships and improve leadership effectiveness.This book provides practical tools, methodologies, and case studies, offering insights from industry leaders to help both aspiring and practicing TPMs apply advanced concepts and strategies effectively. It also explores the unique aspects of the TPM role in major tech companies, helping you to navigate and thrive in your career.By the end of this book, you'll have a clear understanding of the TPM role, along with a breakdown of the necessary technical and program management skills, to develop a clear roadmap for your career.

Learning PowerShell DSC. Get started with the fundamentals of PowerShell DSC and utilize its power to automate deployment and configuration of your servers

James Pogran