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Podcasts
Mercury Learning and Information, Oswald Campesato
This book, part of the best-selling Pocket Primer series, offers a comprehensive introduction to essential Python tools for data scientists. It begins with an overview of Python basics, followed by in-depth coverage of NumPy and Pandas, focusing on their features and applications. The text also addresses the critical tasks of writing regular expressions and performing data cleaning.Further sections delve into data visualization techniques and the use of Sklearn and SciPy, providing practical knowledge and skills for handling complex data analysis tasks. This structured approach ensures that readers gain a complete understanding of the tools and techniques necessary for effective data science.Designed to be accessible yet thorough, this book includes numerous code samples to reinforce learning. Companion files with source code are available for download, making it an invaluable resource for anyone looking to master Python for data science and enhance their data analysis capabilities.
Mercury Learning and Information, Brian Moriarty, Bernd Held, Theodor Richardson
In this updated edition for Excel 2021, Microsoft 365, and previous versions, this book reveals the secrets of Excel through practical examples in a quick reference format. It includes new chapters on data analytics and shortcut keys, making it an essential resource for both beginners and experienced users. The book is designed to help you understand, create, and apply formulas efficiently.The journey begins with an introduction to formulas, followed by chapters on logical, text, date, and time functions. You will explore statistical, mathematical, and financial functions, along with database, lookup, and reference functions. The book also delves into conditional formatting, dynamic array formulas, special solutions, and user-defined functions, providing step-by-step instructions and ready-to-use Excel screenshots.By the end of the course, you will have mastered Excel's advanced formulas and functions, enabling you to perform complex data analysis and enhance your productivity. Companion files include video tutorials, over 250 worksheet examples, and all figures from the text, ensuring a comprehensive learning experience.
TensorFlow 2 Pocket Primer. A Quick Reference Guide for TensorFlow 2 Developers
Mercury Learning and Information, Oswald Campesato
As part of the best-selling *Pocket Primer* series, this book introduces beginners to basic machine learning algorithms using TensorFlow 2. It provides a fast-paced introduction to TensorFlow, covering core features and machine learning basics with Python code samples. An appendix includes Keras-based code samples and explores MLPs, CNNs, RNNs, and LSTMs. The chapters illustrate how to solve various tasks, encouraging further reading to deepen your knowledge.The journey begins with an introduction to TensorFlow 2, followed by essential APIs and datasets. You'll explore linear regression and classifiers, learning to apply TensorFlow to practical problems. The comprehensive appendix covers advanced topics like NLPs and deep learning architectures, enhancing your understanding of machine learning.Understanding these concepts is crucial for modern AI applications. This book transitions readers from basic TensorFlow use to advanced machine learning techniques, blending theory with practical examples. Companion files with source code and figures enhance learning, making this an essential resource for mastering TensorFlow and machine learning.
Empirical Cloud Security. A Guide To Practical Intelligence to Evaluate Risks and Attacks
Mercury Learning and Information, Aditya K. Sood
This book, updated to include the latest research and developments in cloud security, is essential for security professionals, DevOps engineers, penetration testers, cloud security engineers, and cloud software developers. It offers practical approaches to securing cloud infrastructure and applications against threats, attacks, and data breaches. The content is refined for better accessibility and engagement, providing a comprehensive guide to cloud security.The course starts with fundamental cloud security concepts and progresses to hands-on assessment techniques based on real-world case studies. It covers cloud architecture, IAM for authentication and authorization, network security, database and storage security, cryptography controls, secure code review, and monitoring and logging. The practical strategies for assessing security and privacy are crucial for building a robust cloud infrastructure.The journey concludes with advanced topics such as privacy in the cloud, identifying security flaws and attacks, and understanding the impact of malicious code. New case studies reveal how threat actors exploit cloud environments, offering preventative measures to enhance cloud security. This structured approach ensures a thorough understanding and practical application of cloud security principles.
Mercury Learning and Information, Oswald Campesato
This book introduces readers to three powerful command-line utilities—grep, sed, and awk—that can create simple yet powerful shell scripts. Using the bash shell, it focuses on small text files to help readers understand these tools. Grep searches for patterns in data, sed modifies data, and awk performs tasks on pattern matches. Aimed at those new to the bash environment, the book is also valuable for those with some experience.The journey starts with grep, teaching how to search for specific words or patterns in data. It then moves to sed, showing how to change or modify data efficiently. Finally, it delves into awk, a versatile programming language for searching and processing data files. The book also includes a chapter on using regular expressions with these tools, enhancing your scripting capabilities.Mastering these utilities is crucial for efficient data handling and automation in a bash environment. This book transitions readers from basic to advanced command-line skills, blending theory with practical examples. It is an essential resource for anyone looking to harness the full power of bash scripting.
Python for TensorFlow Pocket Primer. A Quick Guide to Python Libraries for TensorFlow Developers
Mercury Learning and Information, Oswald Campesato
As part of the best-selling *Pocket Primer* series, this book prepares programmers for machine learning and deep learning with TensorFlow. It begins with a quick introduction to Python, followed by chapters on NumPy, Pandas, Matplotlib, and scikit-learn. The final chapters provide TensorFlow 1.x code samples, including detailed examples for TensorFlow Dataset, crucial for TensorFlow 2.The journey starts with Python basics and progresses through essential data manipulation and visualization libraries. You'll explore machine learning fundamentals with scikit-learn before diving into TensorFlow, learning to construct data pipelines with TensorFlow Dataset APIs like map(), filter(), and batch().Understanding these concepts is vital for modern AI applications. This book transitions readers from basic programming to advanced machine learning and deep learning techniques, blending theory with practical skills. Companion files with source code enhance learning, making this an essential resource for mastering Python, machine learning, and TensorFlow.
Python 3 Using ChatGPT / GPT-4. Harnessing AI for Efficient Python Programming
Mercury Learning and Information, Oswald Campesato
This book is for people who want to learn Python 3 and how to use ChatGPT with Python. It starts with an introduction to Python programming, covering data types, number formatting, Unicode handling, and text manipulation. The book then covers loops, conditional logic, reserved words, user input, exception management, and command-line arguments.The journey continues into Generative AI, discussing its distinction from Conversational AI. Popular platforms like ChatGPT and GPT-4 are explored, along with their strengths, weaknesses, and potential applications. The book shows how to generate Python 3 code samples via ChatGPT using the “Code Interpreter” plugin.Understanding these concepts is crucial for navigating Python and AI. This book transitions readers from basic Python programming to advanced AI applications, blending theory with practical skills. Companion files with code samples and figures enhance learning, making this an essential resource for mastering Python and ChatGPT.
Mercury Learning and Information, D. Malhotra, N. Malhotra
This book introduces the fundamentals of data structures using Java in a self-teaching format. It covers managing large databases, effective SEO, and creating web indexing services. Real-world analogies help explain technical concepts. Each chapter includes programming tasks, theoretical questions, and multiple-choice quizzes.The course begins with an introduction to data structures and Java, moving through arrays, linked lists, queues, searching and sorting, stacks, trees, multi-way search trees, hashing, files, and graphs. Each chapter builds on the previous one, ensuring a thorough understanding of data structures.Understanding these concepts is crucial for managing information and optimizing web services. This book guides readers from basic to advanced techniques, blending theory with practical skills. It is an essential resource for mastering data structures with Java, enhanced by end-of-chapter exercises and real-world examples.
Mercury Learning and Information, A. B. Chaudhuri
This book equips readers with efficient, well-structured program logics using flowcharts and algorithms. Flowcharting helps create sequences of steps to solve problems through arithmetic and logical manipulations, essential for instructing computers. Applied examples from various subjects encourage readers to grasp the logic leading to solid programming basics.The course begins with an introduction to programming, moving on to problems involving selection, looping, and arrays. It concludes with the art of file processing. Each chapter builds on the previous one, ensuring a comprehensive understanding of programming logic and flowcharting techniques.Understanding these concepts is crucial for developing effective computer instructions. This book transitions readers from basic to advanced problem-solving skills, combining theoretical knowledge with practical examples. It is an essential resource for mastering programming logic and flowcharting.
Mercury Learning and Information, Jeroen Mulder
This is a comprehensive resource designed for IT professionals and cloud architects navigating the complexities of multi-cloud environments. As organizations increasingly adopt multi-cloud strategies, this guide provides essential frameworks and practical insights into managing and optimizing cloud resources across major platforms, including AWS, Azure, GCP, and Alibaba Cloud.The book begins with an exploration of Cloud Adoption Frameworks (CAFs), offering a structured approach to cloud adoption that emphasizes governance, security, and operational excellence. Subsequent chapters delve into key aspects of cloud administration, such as virtualizing and managing connectivity, storage, and compute resources. The guide also addresses advanced topics like creating interoperability between clouds, managing data governance, and ensuring data security across multiple cloud platforms.In addition to technical insights, the guide covers critical areas like access management, cloud security, and compliance automation, equipping readers with the knowledge to secure and streamline multi-cloud operations. By offering best practices, real-world examples, and in-depth analyses, this book empowers professionals to efficiently manage multi-cloud environments and leverage the full potential of cloud technologies.
Basic Electronics. Theory and Practice
Mercury Learning and Information, Sean Westcott, Jean Riescher Westcott
This updated edition introduces students and hobbyists to electronics, covering microcontrollers, sensors, and wireless communication. Each chapter includes a lab, progressing to building a robot with Arduino and Netduino. New material on Raspberry Pi and Python is included, with companion files featuring videos and code samples.The course begins with basic electronics concepts, building circuits, and understanding components. It covers digital theory and practical applications with sensors, motors, and microcontrollers. Topics include electricity theory, currents, circuits, tools, safety, and components like resistors, capacitors, diodes, and transistors. Advanced topics include power supplies, soldering, digital theory, integrated circuits, memory, and microcontrollers.These concepts are crucial for innovation in electronics. This book transitions readers from basic labs to constructing a robot using open-source hardware. It covers Raspberry Pi projects and explores cybersecurity and IoT. Appendices include math for electronics, a timeline of innovations, careers in electronics, and a glossary. This guide provides both theoretical knowledge and practical skills, making it invaluable for mastering electronics.
Access 365 Project Book. Hands-On Database Creation
Mercury Learning and Information, Julitta Korol
This book is a practical introduction to building and managing Access desktop databases. Instead of merely explaining Microsoft Access, it helps you complete tasks related to creating, using, and managing a database. The hands-on approach focuses on creating a traditional Access desktop database and emphasizes splitting the database for optimized multi-user access. The primary project, the Employee Training Database (ETD), offers practical, real-world experience.The book guides you through database creation and management. It starts with planning and designing a database, followed by creating and setting up Access tables. It then covers primary keys, indexes, and table relationships, and populating tables with data. The middle sections include working with queries and designing and customizing forms.The latter part focuses on designing and using reports and customizing them. It concludes with compacting, splitting, and securing the database for optimized performance and security. These concepts enable efficient database management and enhance multi-user collaboration. This book transitions you from a novice to a proficient user, equipped with practical skills and comprehensive knowledge. Companion files with hands-on examples enrich your learning.
C Programming Pocket Primer. An Essential Guide to C Programming Basics
Mercury Learning and Information, Oswald Campesato
As part of the Pocket Primer series, this book provides an overview of major concepts in C programming. It covers essential techniques, including up-to-date information on the C11 standard and comprehensive chapters on pointers. Companion files with source code and figures from the book are included.The course begins with an introduction to C, moving through conditional logic, loops, and arrays. It then delves into functions and provides detailed coverage of pointers, essential for mastering C programming. Miscellaneous topics are also addressed to ensure a well-rounded understanding.Understanding these concepts is crucial for developing efficient C programs. This book transitions readers from beginners to proficient C programmers, combining theoretical knowledge with practical skills. Companion files enhance the learning experience, making this book an invaluable resource for mastering C programming.
Big Data Using Hadoop and Hive. Master Big Data Solutions with Hadoop and Hive
Mercury Learning and Information, Nitin Kumar
This book is a guide for developers and engineers to use Hadoop and Hive for scalable big data applications. It covers reading, writing, and managing large datasets with Hive and provides a concise introduction to Apache Hadoop and Hive, detailing their collaboration to simplify development. Through clear examples, the book explains the logic, code, and configurations needed for building successful distributed applications.The course starts with an introduction to big data and Apache Hadoop fundamentals. It then covers the Hadoop Distributed Filesystem and how to get started with Hadoop. The journey continues with interfaces to access HDFS files, resource management with Yet Another Resource Negotiator, and MapReduce for data processing. The book also explores Hive architecture, storage types, and the Hive query language.Mastering these concepts is vital for creating scalable big data solutions. This book ensures a smooth transition from novice to proficient Hadoop and Hive user, providing practical skills and comprehensive knowledge. By the end, readers will be able to set up, configure, and optimize Hadoop, utilize Hive for data management, and effectively solve big data challenges.
Autodesk Revit 2025 Architecture. Mastering Revit Techniques for Efficient Architectural Design
Mercury Learning and Information, Munir Hamad
This book is a complete guide to mastering Autodesk Revit 2025, starting with the basics and progressively covering advanced architectural design techniques. It begins by introducing the Revit interface, navigation tools, and essential concepts like CAD vs. BIM, ensuring a solid foundation for beginners.Readers will then learn to create and modify architectural elements, such as walls, doors, windows, and roofs while exploring detailed workflows for project setup, annotation, and documentation. Each chapter includes hands-on exercises and practical examples to reinforce learning and improve proficiency with Revit’s powerful tools.The final sections delve into advanced topics like creating families, managing work sets, and using project phasing and design options. By the end of the book, readers will have gained the expertise to use Revit effectively in real-world architectural projects, making it an essential resource for both novice and experienced users.
Mercury Learning and Information, Oswald Campesato
As part of the Pocket Primer series, this book introduces basic deep learning concepts and integrates them into Angular 10 applications. It offers a fast-paced introduction to deep learning features and popular classifiers. Covering Angular 10 functionality, deep learning concepts, and key classification algorithms, the book includes code samples and figures. Topics such as TensorFlow and Keras are also explored.The book begins with an introduction to AI and its applications, followed by state space search and heuristic search strategies. You will delve into expert systems, their development life cycle, knowledge acquisition, and representation. These topics lead to a deeper understanding of neural networks, the learning process, and fuzzy logic systems, ensuring a comprehensive grasp of AI and deep learning principles.Understanding these concepts is essential for developing sophisticated AI applications and enhancing Angular 10 projects. This book transitions you from a novice to a proficient developer, equipped with practical skills and knowledge. Advanced topics like fuzzy expert systems and logic programming are covered, culminating in advanced Prolog. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating deep learning with Angular 10.