This innovative textbook offers a distinctive method for initiating research in cosmology and high-energy astrophysics, emphasizing a problem-and-answer format. It guides readers through complex concepts by presenting challenges that encourage critical thinking and practical application, making it an essential resource for students and researchers looking to deepen their understanding of the universe's fundamental questions.
Focusing on advanced topics, this volume delves into the intricacies of cosmology and extragalactic astronomy. It encompasses a comprehensive range of subjects, providing in-depth insights into the universe's structure, origins, and the behavior of galaxies beyond the Milky Way. Ideal for scholars and researchers, it serves as a detailed resource for understanding the complexities of the cosmos.
Focusing on advanced cosmology and extragalactic astronomy, this volume offers a thorough exploration of key observational results, terminology, and critical topics such as galactic structure, cosmic microwave background radiation, and active galactic nuclei. With a contemporary approach emphasizing current research, it features a modular structure and over one hundred worked exercises. This comprehensive text serves as a standalone resource or can complement its two preceding volumes, making it essential for researchers and graduate students in the field.
Engagingly written in clear, informal prose, this book explores the evolution of the universe without delving into technical jargon or mathematics. It caters to general readers seeking to understand the complexities of our universe, presenting both established knowledge and the mysteries that remain. With illustrations and photographs enhancing the narrative, it promises an exciting and accessible journey through cosmic history.
Based on the latest version of the language, this book offers a self-contained, concise and coherent introduction to programming with Python. The book’s primary focus is on realistic case study applications of Python. Each practical example is accompanied by a brief explanation of the problem-terminology and concepts, followed by necessary program development in Python using its constructs, and simulated testing. Given the open and participatory nature of development, Python has a variety of incorporated data structures, which has made it difficult to present it in a coherent manner. Further, some advanced concepts (super, yield, generator, decorator, etc.) are not easy to explain. The book specially addresses these challenges; starting with a minimal subset of the core, it offers users a step-by-step guide to achieving proficiency.