Elements of Programming (2009) by Alexander Stepanov and Paul McJones provides a foundational approach to programming by emphasizing abstract concepts and mathematical rigor. The book develops fundamental algorithms and data structures from first principles, focusing on clear reasoning and formal specifications. It uses abstract data types and generic programming techniques to achieve code that is both efficient and reusable across different programming languages and paradigms. The book aims to teach readers how to think about programming at a deeper level, enabling them to design and implement robust and adaptable software. While rooted in practical application, its focus is on the underlying theoretical framework that informs good programming practices.
Bjarne Stroustrup's "21st Century C++" blog post advocates for modernizing C++ usage by focusing on safety and performance. He highlights features introduced since C++11, like ranges, concepts, modules, and coroutines, which enable simpler, safer, and more efficient code. Stroustrup emphasizes using these tools to combat complexity and vulnerabilities while retaining C++'s performance advantages. He encourages developers to embrace modern C++, utilizing static analysis and embracing a simpler, more expressive style guided by the "keep it simple" principle. By moving away from older, less safe practices and leveraging new features, developers can write robust and efficient code fit for the demands of modern software development.
Hacker News users discussed the challenges and benefits of modern C++. Several commenters pointed out the complexities introduced by new features, arguing that while powerful, they contribute to a steeper learning curve and can make code harder to maintain. The benefits of concepts, ranges, and modules were acknowledged, but some expressed skepticism about their widespread adoption and practical impact due to compiler limitations and legacy codebases. Others highlighted the ongoing tension between embracing modern C++ and maintaining compatibility with existing projects. The discussion also touched upon build systems and the difficulty of integrating new C++ features into existing workflows. Some users advocated for simpler, more focused languages like Zig and Jai, suggesting they offer a more manageable approach to systems programming. Overall, the sentiment reflected a cautious optimism towards modern C++, tempered by concerns about complexity and practicality.
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https://news.ycombinator.com/item?id=43015975
Hacker News users discuss the density and difficulty of Elements of Programming, acknowledging its academic rigor and focus on foundational concepts. Several commenters point out that the book isn't for beginners and requires significant mathematical maturity. The book's use of abstract algebra and its emphasis on generic programming are highlighted, with some finding it insightful and others overwhelming. The discussion also touches on the impracticality of some of the examples for real-world coding and the lack of readily available implementations in popular languages. Some suggest alternative resources for learning practical programming, while others defend the book's value for building a deeper understanding of fundamental principles. A recurring theme is the contrast between the book's theoretical approach and the practical needs of most programmers.
The Hacker News post titled "Elements of Programming (2009)" has several comments discussing the book and its merits. A common theme is the acknowledgment of the book's challenging nature, with many users describing it as dense, rigorous, and requiring significant mathematical maturity.
Several commenters praise the book for its deep dive into fundamental programming concepts and its focus on abstract algebra and mathematical rigor. They appreciate its approach of building up programming concepts from foundational mathematical principles, finding it enlightening and intellectually stimulating. One user highlights how the book helped them understand the underlying mathematical reasons behind certain programming practices. Another commenter notes its value in teaching how to reason about programs formally, a skill they found lacking in other resources. The book is often compared to classics like "Structure and Interpretation of Computer Programs" (SICP), with some arguing it delves even deeper into the theoretical foundations.
However, the difficulty of the book is also a recurring point of discussion. Many acknowledge that it requires a strong background in mathematics, particularly abstract algebra, to fully grasp. Some users suggest that without sufficient preparation, the book can be overwhelming and difficult to follow. One commenter describes it as "extremely dense" and advises potential readers to be prepared for a serious undertaking. Another recommends working through the exercises diligently, highlighting their importance for understanding the material.
Some users offer advice on how to approach the book. One suggestion is to start with SICP as a gentler introduction to similar concepts. Others recommend supplementing the book with additional resources like online lectures or forums.
A few comments discuss the practical applicability of the book. While acknowledging its theoretical focus, some users argue that the principles learned can be applied to real-world programming problems, leading to a deeper understanding of data structures and algorithms. However, others question its direct relevance to day-to-day programming tasks.
There's also some discussion about the authors and their backgrounds. One commenter mentions Alexander Stepanov's contributions to the C++ Standard Template Library (STL), highlighting the influence of his mathematical approach on the design of the STL.
Overall, the comments paint a picture of "Elements of Programming" as a demanding but rewarding book for those seeking a deep understanding of the theoretical foundations of programming. It is generally recommended for readers with a strong mathematical background and a willingness to put in the effort to grasp its complex concepts. While not necessarily suitable for all programmers, it is seen as a valuable resource for those seeking a more rigorous and mathematically grounded approach to programming.