Python Debugging From Scratch A Practical Guide With Examples Asin Ebook
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Python Debugging from Scratch: A Practical Guide with Examples ASIN (Ebook):
This book provides a detailed exploration of debugging techniques in Python, offering a comprehensive guide that covers both fundamental concepts and advanced strategies. It is meticulously organized to ensure that readers gain an in-depth understanding of error identification, exception handling, and the utilization of powerful debugging tools. Readers are introduced to both manual methods and integrated development environments, allowing them to select the most suitable approach for their coding challenges. The content is engineered for both beginners and experienced developers, presenting theoretical knowledge alongside practical, real-world examples. Each section is designed to build upon the previous one, fostering a logical progression of skills and insights within the debugging process. The clarity of explanations and systematic progression of topics ensure that the reader develops proficiency in identifying, diagnosing, and resolving code issues efficiently. Emphasizing a clear and factual style, the book delves into performance optimization, automated debugging, and effective logging techniques. It also provides detailed case studies that illustrate the resolution of complex debugging scenarios encountered in professional environments. The text serves as a practical resource for enhancing code quality and robustness, equipping developers with the necessary tools and methodologies to maintain and improve their Python applications.
Regular Expressions Demystified: A Practical Guide with Examples ASIN (Ebook):
Regular expressions are powerful tools that facilitate sophisticated text searching and manipulation operations critical to programming, data processing, and software development. "Regular Expressions Demystified: A Practical Guide with Examples" provides an in-depth exploration of these versatile constructs, presenting their foundational concepts and core language in a clear and methodical manner. Each fundamental component, from syntax essentials to metacharacters, is dissected with precision, allowing readers to gain a comprehensive understanding of how regular expressions function. The book is structured to cater to both beginners and those seeking to enhance their existing knowledge. In the practical chapters, readers will find guidance on setting up regular expressions across various development environments, thereby enabling seamless integration into their workflows. Common use cases are illustrated, demonstrating how regular expressions can resolve a wide array of text manipulation challenges. Readers are equipped with best practices for building efficient and maintainable regex patterns, ensuring a strong foundation for future applications. Beyond the basics, this book ventures into advanced techniques like complex grouping, alternation, and performance optimization. Real-world applications are highlighted through detailed case studies, showcasing the utility of regular expressions in diverse fields such as data mining and log analysis. Ultimately, "Regular Expressions Demystified" serves as a comprehensive resource for anyone looking to master regular expressions, paving the way for effective and efficient text processing in professional and academic settings.
A Primer on Scientific Programming with Python
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012