Python 3 and Data Visualization. Mastering Graphics and Data Manipulation with Python

Mercury Learning and Information, Oswald Campesato

Python 3 and Data Visualization provides an in-depth exploration of Python 3 programming and data visualization techniques. The course begins with an introduction to Python, covering essential topics from basic data types and loops to advanced constructs such as dictionaries and matrices. This foundation prepares readers for the next section, which focuses on NumPy and its powerful array operations, seamlessly leading into data visualization using prominent libraries like Matplotlib.Chapter 6 delves into Seaborn's rich visualization tools, providing insights into datasets like Iris and Titanic. The appendix covers additional visualization tools and techniques, including SVG graphics and D3 for dynamic visualizations. The companion files include numerous Python code samples and figures, enhancing the learning experience.From foundational Python concepts to advanced data visualization techniques, this course serves as a comprehensive resource for both beginners and seasoned professionals, equipping them with the necessary skills to effectively visualize data.

Transformer, BERT, and GPT. Unlock the Power of Transformers, BERT, GPT-3, and GPT-4 in Natural Language Processing

Mercury Learning and Information, Oswald Campesato

This book offers an in-depth exploration of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Beginning with foundational concepts like the attention mechanism and tokenization techniques, it delves into the intricacies of Transformer and BERT architectures. Advanced topics cover the latest developments in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the nuances of Transformer architecture, a detailed exploration of the BERT family, and hands-on guidance on working with GPT-3.The journey continues with a comprehensive overview of ChatGPT, GPT-4, and visualization using generative AI. The book also discusses influential AI organizations such as DeepMind, OpenAI, Cohere, and Hugging Face. Readers will gain a thorough understanding of the current landscape of NLP models, their underlying architectures, and practical applications.Companion files with numerous code samples and figures from the book enhance the learning experience, providing practical tools and resources. This book is an essential guide for those seeking to master the latest advancements in natural language processing and generative AI.

Cybersecurity. A Self-Teaching Introduction

Mercury Learning and Information, C. P. Gupta, K. K. Goyal

This book provides fundamental concepts of cybersecurity and cybercrime in an easy-to-understand, self-teaching format. It covers data security, threats, viruses, malicious software, firewalls, VPNs, security architecture, design, policies, cyberlaw, and cloud security.The course starts with an introduction to information systems and cybersecurity application security. It progresses to developing secure information systems and understanding information security policies, standards, and cyberlaw. The final chapters address the security of emerging technologies, including cloud security, IoT, and AES.Understanding these concepts is crucial for protecting data and systems against cyber threats. This book transitions readers from basic knowledge to advanced cybersecurity practices, combining theoretical insights with practical applications. It is an invaluable resource for mastering cybersecurity in today's digital age.

Optimization Using Linear Programming. A Practical Guide to Mastering Linear Programming Techniques

Mercury Learning and Information, A. J. Metei, Veena Jain

This book is designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory to solve applied problems efficiently. It emphasizes solving linear programming problems with software like MS-Excel, Mathematica, MATLAB, WinQSB, and LINDO, while providing the necessary definitions and theorems for mastering theoretical aspects.The journey begins with basics of linear algebra using MS-Excel, followed by an introduction to linear programming problems and the graphical method. It then delves into the simplex method, duality, and sensitivity analysis. The course covers transportation, transshipment, assignment problems, and concludes with game theory. Each chapter builds on the previous one, ensuring a comprehensive understanding of the topics.Understanding these concepts is crucial for solving complex applied problems. This book transitions readers from basic to advanced techniques in numerical linear algebra and linear programming, combining theoretical knowledge with practical applications. It is an essential resource for mastering these topics and maximizing efficiency in problem-solving.

Text Analytics for Business Decisions. Mastering Techniques for Insightful Data Interpretation through a Case Study Approach

Mercury Learning and Information, Andres Fortino

This book leverages advanced techniques and tools in data science to extend data analysis from numeric and categorical data to textual data. Designed for business analysts, it uses a case study approach to teach skills in extracting insights from text data, supporting business decision-making. Exercises primarily use Excel and R, covering techniques from basic text analytics to sophisticated methods like topic extraction and text similarity scoring.The course begins with framing analytical questions and exploring analytical tool sets. It progresses through preparing data files, performing word frequency and keyword analysis, and conducting sentiment analysis. Advanced topics include visualizing text data, coding, named entity recognition, and topic recognition in documents. The book also covers text similarity scoring and the analysis of large datasets by sampling.Throughout this journey, readers will apply the CRISP-DM data mining standard, using companion files with numerous datasets for practical exercises. By the end, participants will have a comprehensive understanding of text analytics, enabling them to derive meaningful insights from textual data to inform business strategies.

Classic Game Design. From Pong to Pac-Man with Unity: Crafting Timeless Retro Games with Expert Techniques

Mercury Learning and Information, Franz Lanzinger

This book teaches you to design and develop classic arcade video games. Using modern, free software tools like Unity, you’ll create five retro games inspired by the classics. All source code, art, and sound files are provided in the companion files. You'll enjoy customizing graphics, adjusting scoring, coding AI, and creating sound effects, gaining a deep understanding of the roots of modern video game design from the '70s and '80s.The course begins with an introduction and essential tools, then guides you through creating various retro games. Each chapter builds on the previous one with detailed instructions, exercises, and classic game design rules. The book includes historical anecdotes from a former Atari programmer and insights on applying classic game design concepts to modern games.Understanding these design elements is crucial for developing engaging video games. This book transitions readers from beginners to proficient game developers, blending theoretical knowledge with practical skills. Companion files enhance the learning experience, making this book an invaluable resource for mastering classic game design with modern tools.

Python 3 and Data Analytics Pocket Primer. A Quick Guide to NumPy, Pandas, and Data Visualization

Mercury Learning and Information, Oswald Campesato

This book, part of the best-selling Pocket Primer series, introduces readers to the fundamental concepts of data analytics using Python 3. The course begins with a concise introduction to Python, covering essential programming constructs and data manipulation techniques. This foundation sets the stage for deeper dives into data analytics, emphasizing the importance of data cleaning, a critical step in any data analysis process.Following the Python basics, the course explores powerful libraries such as NumPy and Pandas for efficient data handling and manipulation. It then delves into statistical concepts, providing the necessary background for understanding data distributions and analytical methods. The course culminates in data visualization techniques using Matplotlib and Seaborn, demonstrating how to effectively communicate insights through graphical representations.Throughout the course, numerous code samples and practical examples are provided, reinforcing learning and offering hands-on experience. Companion files with source code and figures are available online, supporting the learning journey. This comprehensive guide equips both beginners and seasoned professionals with the skills needed to excel in data analytics.

Bash Command Line and Shell Scripts Pocket Primer. Mastering Bash Commands and Scripting Techniques

Mercury Learning and Information, Oswald Campesato

As part of the best-selling Pocket Primer series, this book introduces readers to useful command-line utilities for creating powerful shell scripts. It focuses on the “bash” command set, though many concepts apply to other command shells like sh, ksh, zsh, and csh. The book covers piping data between commands and using versatile sed and awk commands. Aimed at beginners, it also serves as a good reference for those with some experience in shell scripting.The journey starts with an introduction to bash, covering files and directories, useful commands, and conditional logic with loops. Readers then learn to filter data with grep, transform data with sed, and work with awk. The book introduces shell scripts, showcasing their use with grep and awk for data manipulation. Various scripts are provided for data scientists and analysts needing shell-based solutions for text file cleaning.Understanding these concepts is crucial for simplifying routine tasks and creating efficient shell scripts. This book transitions readers from novices to proficient scriptwriters, combining theoretical knowledge and practical skills. Companion files with source code examples enhance learning. By the end, readers will be equipped to implement shell scripts in real-world scenarios.