![]() The text covers all subject areas well with a comprehensive index, debugging tips at end of each chapter, with glossary and exercises, together forming a good scaffolding structure. Reviewed by Rekha Rao, Adjunct Instructor, Portland Community College on 7/1/22 The book’s strengths lie in its clear exposition, structured approach, and comprehensive coverage of essential topics. Think Python book is a commendable resource for those looking to begin their journey with Python programming. However, it's written in a neutral tone and is designed to be accessible to a broad audience. It's well laid out with clear headings, diagrams, and code snippets.ĭowney's book is primarily focused on technical content and doesn't delve deep into cultural aspects. This structured approach aids in understanding and retention. The content flows logically from basic to more complex topics. However, I recommend covering Data Types such as List, Set, and Dictionary in the early phases. The examples and exercises are pertinent to real-world programming scenarios.ĭowney writes in a simple and understandable manner, making complex topics accessible to beginners.Įach chapter builds upon the last, making the learning process seamless. The author presents information in a way that aligns with industry standards and Python conventions. It covers fundamental programming concepts, Python-specific syntax, and also introduces more advanced topics. Reviewed by Eljilani Hmouda, Assistant Professor of Computer Science, Lander University on 10/19/23 Journalism, Media Studies & Communications +.We also present a comprehensive atmospheric analysis of all WASP-43b secondary-eclipse data obtained from the space- and ground-based observations using BART. We describe the implementation of the initialization routines, the atmospheric profile generator, the eclipse module, the best-fit routines, and the contribution function module. ![]() It initializes a planetary atmospheric model, performs radiative-transfer calculations to produce models of planetary spectra, and using a statistical module compares models with observations. BART characterizes planetary atmospheres based on the observed spectroscopic information. Chapter 5 presents my contributions to an open-source Bayesian Atmospheric Radiative Transfer (BART) code, and its application to WASP-43b. The code is written in Python, in a modular fashion, and it is available to the community via. The thermochemical equilibrium abundances obtained with TEA can be used to initialize atmospheric models of any planetary atmosphere. TEA calculates the abundances of gaseous molecular species using the Gibbs free-energy minimization method within an iterative Lagrangian optimization scheme. Chapter 4 presents an open-source Thermochemical Equilibrium Abundances (TEA) code and its application to several hot-Jupiter temperature and pressure models. The atmospheric analysis ruled out a strong thermal inversion in the dayside atmosphere of WASP-43b and put a nominal upper limit on the day-night energy redistribution. This configuration provided one of the strongest signal-to-noise ratios. WASP-43b is one of the closest-orbiting hot Jupiters, orbiting one of the coolest stars with a hot Jupiter. Chapter 3 describes the infrared observations of WASP-43b's Spitzer secondary eclipses, data analysis, and atmospheric characterization. By applying a Bayesian approach in the atmospheric analysis, we found an absence of thermal inversion contrary to theoretical predictions. WASP-14b is a highly irradiated, transiting hot Jupiter. The decrease in flux when a planet passes behind its host star reveals the planet dayside thermal emission, which, in turn, tells us about the atmospheric temperature and pressure profiles and molecular abundances. Chapter 2 presents the Spitzer secondary-eclipse analysis and atmospheric characterization of WASP-14b. We chose targets with high signal-to-noise ratios, as their deep eclipses allow us to detect signatures of spectral features and assess planetary atmospheric structure and composition with greater certainty. ![]() We used Spitzer multi-wavelength secondary-eclipse observations to characterize planetary atmospheres. ![]() This dissertation as a whole aims to provide the means to better understand hot-Jupiter planets through observing, performing thermochemical calculations, and modeling their atmospheres. ![]()
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