Uml Explained Simply
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Software Development Lifecycle Made Simple: A Practical Guide with Examples
Software Development Lifecycle Made Simple: A Practical Guide with Examples offers a clear and comprehensive introduction to the processes, principles, and best practices of modern software development. Designed for beginners and aspiring professionals, this book demystifies the complexities of the software development lifecycle (SDLC), guiding readers step by step from foundational programming concepts to the structured methodologies that drive successful projects. The book is organized to mirror real-world workflows, covering every phase of development including planning, requirements analysis, design, implementation, testing, deployment, and ongoing maintenance. Each chapter breaks down essential topics such as algorithms, programming languages, debugging, version control, collaborative practices, quality assurance, security, and project management. A continuous case study reinforces each concept by demonstrating how it applies to a practical software project, making the principles tangible and directly relevant to actual development scenarios. Readers will gain a strong understanding of how software products are envisioned, constructed, and maintained in professional settings. By emphasizing both technical skills and the broader project context, this guide equips learners with the knowledge and confidence needed to participate effectively in software development teams. Whether preparing for a technical role or seeking to understand the mechanics of software project execution, this book provides a reliable foundation and a practical pathway for further growth in the field.
Software Engineering Made Easy
Learn how to write good code for humans. This user-friendly book is a comprehensive guide to writing clear and bug-free code. It integrates established programming principles and outlines expert-driven rules to prevent you from over-complicating your code. You’ll take a practical approach to programming, applicable to any programming language and explore useful advice and concrete examples in a concise and compact form. Sections on Single Responsibility Principle, naming, levels of abstraction, testing, logic (if/else), interfaces, and more, reinforce how to effectively write low-complexity code. While many of the principles addressed in this book are well-established, it offers you a single resource. Software Engineering Made Easy modernizes classic software programming principles with quick tips relevant to real-world applications. Most importantly, it is written with a keen awareness of how humans think. The end-result is human-readable code that improves maintenance, collaboration, and debugging—critical for software engineers working together to make purposeful impacts in the world. What You Will Learn Understand the essence of software engineering. Simplify your code using expert techniques across multiple languages. See how to structure classes. Manage the complexity of your code by using level abstractions. Review test functions and explore various types of testing. Who This Book Is For Intermediate programmers who have a basic understanding of coding but are relatively new to the workforce. Applicable to any programming language, but proficiency in C++ or Python is preferred. Advanced programmers may also benefit from learning how to deprogram bad habits and de-complicate their code.
A Geographer's Guide to Computing Fundamentals
This upper-undergraduate textbook teaches students programming in GIS using a mix of computer science theory and hands-on activities, with the aim of empowering students to understand fundamentals and apply their knowledge beyond the specific examples in the book. Each of the book’s twenty-one chapters integrates instructional material with exercises in ArcGIS Pro. In doing so, this book combines the strengths of workbooks and theoretical textbooks to provide a holistic and comprehensive text. Each chapter concludes with an unguided task that ensures students have learned the broader principles explained therein. In addition to its unique format, the book covers oft-neglected topics such as debugging, creating a program from scratch, and managing metadata. Section I starts with the principles of scripting and programming with Python. Section II introduces the ArcPy module and elements specific to ArcGIS Pro. This section focuses on data structures, and how they are used and implemented within Python. Section III uses the topic of algorithms to guide the student through creating tools to add functionality to ArcGIS Pro. The last section, Section IV, builds upon section III to guide the student to developing and sharing projects and Python packages to include external open-source code and share the Python code as an open-source package. This text will prepare students for a long-term ability to do GIS programming, whether in industry or academic research. This comes from the author’s observations of students who have learned GIS programming in one platform, such as VBA in ArcMap, struggle to apply that knowledge to a new platform, such as Python in ArcGIS Pro, because the content was presented too closely with a specific platform. The integration of exercises with conceptual content, along with the choice of chapter content, serves this goal of preparing students for working in a dynamic, rapidly changing technology field.