How to Organise Software Development 2024 (Guide for non-Software Engineers)

This book is an extensive guide for aspiring programmers on their journey to becoming proficient software developers. It emphasizes the transition from basic coding to the creation of secure, efficient software tailored to customer needs. The guide covers the strategic role of software in business, including the comparison of various software solutions and development methodologies. It delves into the intricacies of front-end and back-end systems, highlighting the importance of user experience and interface. Further, it explores different software development life cycles, including Agile and Waterfall, and various development paradigms like procedural, object-oriented, and functional programming. The book provides insights into understanding and establishing user requirements, database fundamentals, SQL, and problem-solving techniques including the use of flowcharts and pseudocode. Additionally, it discusses the tools necessary for software development, such as integrated development environments, code conversion methods, and version control. The importance of subroutines, procedures, functions, and efficiency assessment through Big O notation is covered in detail. The book also addresses user interface design, testing practices, software implementation and deployment, including cloud computing, and concludes with software maintenance and support, focusing on code documentation and legacy code management. Overall, this book offers a comprehensive roadmap, equipping emerging software developers with essential knowledge and skills for the field.

How to Organise Software Development 2024 (Guide for non-Software Engineers)
How to Organise Software Development 2024 (Guide for non-Software Engineers)

Python’s Role in Artificial Intelligence and Machine Learning

The article discusses the significance of Python in the field of Artificial Intelligence (AI) and Machine Learning (ML). It highlights Python’s dominance and popularity in the digital age due to its remarkable versatility in handling complex coding scenarios effectively. Python’s numerous benefits for AI and ML projects are outlined, including its low entry barrier, extensive libraries, flexibility in coding styles, stability, readability, and platform-agnostic nature. The conversation emphasizes Python’s accessibility, attributed to its simple syntax and English-like language structure, which enables data scientists to rapidly engage in AI development. The presence of extensive documentation within the Python community further accelerates the learning process. Python’s success in AI and ML can be attributed to its libraries, which contain pre-composed code modules designed for various tasks, ultimately saving both time and resources. The language’s adaptability, supporting scripting and object-oriented programming, allows developers to make quick changes without the need for source code recompilation. It also seamlessly integrates with other programming languages, enhancing its flexibility. Python emerges as the preferred language for AI and data science careers due to its user-friendly attributes, abundant libraries, coding flexibility, and cost-effectiveness. Python’s popularity simplifies the hiring process for startups and recruiters, establishing it as a prime choice for those venturing into the fields of AI and ML.

Python’s Role in Artificial Intelligence and Machine Learning
Python’s Role in Artificial Intelligence and Machine Learning

Novel: Getting start with C Programming Language Soft Guide

In the contemporary digital age, computer and internet access are ubiquitous, enabling millions worldwide to engage in a myriad of online activities daily. This reliance on technology is made possible through the intricate programming languages that underpin the digital landscape. Among these, the C programming language stands out for its enduring relevance and wide-ranging applications, both online and offline. This article explores the enduring ubiquity of the C programming language, delving into its fundamental role in operating systems, assemblers, compilers, and a plethora of modern applications. It highlights the surprising prevalence of C in everyday technology, from the Linux and Windows kernels to mobile platforms like Android and iOS. The discussion also delves into why the C language remains a choice for both novice and seasoned programmers, including its low-level integration capabilities and cross-platform versatility. The article underscores the significance of mastering C as a foundation for comprehending contemporary programming languages like Java and Python. Furthermore, it introduces a comprehensive resource for learning the C language, emphasizing its accessibility to individuals with varying levels of programming experience. This book provides a structured approach to understanding C, covering essential concepts, debugging techniques, and best practices. It caters to both aspiring IT professionals and hobbyist programmers, offering valuable insights into a language that continues to shape the digital landscape. In a world replete with programming languages, C stands as a timeless cornerstone, enabling individuals to interact with technology at its core. Aspiring programmers, enthusiasts, and students seeking to embark on a journey into the world of coding can benefit from this resource, ultimately gaining proficiency in C and unlocking the door to a broader realm of programming possibilities.

Novel: Getting start with C Programming Language Soft Guide
Novel: Getting start with C Programming Language Soft Guide

Digital Transformation of Civil Engineering Surveyor

Abstract: The current state of digital engineering adoption falls short of its potential in terms of efficient data sharing and survey expertise in the field of civil engineering. There exists a disconnection between commercial management and geospatial surveyors, which has led to unsustainable practices in construction. To address this issue, our proposal emphasizes the importance of improved data management for sustainable growth in the construction industry. We believe that civil engineering surveyors should take the lead in bridging the gap between geospatial and commercial management through digital engineering, benefiting both the industry and society. To achieve this vision, the Chartered Institution of Civil Engineering Surveyors (CICES) recognizes digital transformation as a crucial aspect for the future of the profession, ensuring its relevance beyond 2050. This paper identifies the barriers hindering the adoption of digital engineering, including information management, data sharing, and building information modeling (BIM) in infrastructure projects. It also outlines how surveyors can assess their digital maturity and take the necessary steps to overcome current and future challenges. In addition to individual efforts, this paper highlights the supportive roles of contracts, protocols, technology, education, training, standards, and professional bodies in enabling the desired change. A deeper understanding of the expertise of geospatial surveyors and commercial managers is crucial for informed decision-making in infrastructure projects. The paper recommends involving civil engineering surveyors earlier in the planning phase, as their input during this stage can significantly impact project outcomes. By understanding the required data, its accuracy, and its use in scenario planning, costing, scheduling, and monitoring, efficiency gains can be realized, leveraging the expertise of surveyors. The roles and engagement of surveyors throughout the project lifecycle are also outlined in the paper. The drafting of this paper involved the collaboration of over 30 surveyors, with the participation of industry bodies such as Survey4BIM, the UK BIM Alliance, Women in BIM, BIM4Heritage, and the BIM Academic Forum.

Digital Transformation of Civil Engineering Surveyor
Digital Transformation of Civil Engineering Surveyor
Dr Francesco Dergano

CEO of @skydatasol (dormant) — Principal of @kamiwebproject — Lead Research Manager of The Antarctic National Security Framework — Full-Time Student