An Integrated Approach with Python and Stata
Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.
Learn to use Python productively in real-life scenarios at work and in everyday life
If you have mastered the basics of Python and are wanting to explore the language in more depth, this book is for you. By means of concrete examples used in different applications, the book illustrates many aspects of programming (e.g. algorithms, recursion, data structures) and helps problem-solving strategies. Including general ideas and solutions, the specifics of Python and how these can be practically applied are discussed. Python 3 for Science and Engineering Applications Topics
A Really Short Introduction
Stata is a widely used statistical software suitable for users ranging from beginners to seasoned professionals. This book provides a clear introduction to Stata's usage and workflow, covering key topics such as importing and managing datasets, data cleaning and preparation, variable creation and manipulation, and generating descriptive statistics and graphs. It also delves into essential quantitative methods, including linear (OLS) and binary logistic regressions, along with matching techniques. To ensure the validity of results, it includes information on diagnostic tests that meet academic standards. Users will learn how to export results for use in popular software like Microsoft Word, aiding in seminar papers and publications. Additionally, the book offers a concise introduction to scientific writing, guiding readers through creating their first quantitative seminar paper or research report. Emphasizing correct software usage and a productive workflow, it addresses replicability and academic writing standards. Beginners will appreciate the user-friendly point-and-click interface, while experienced users can explore do-files and syntax that enhance Stata's functionality. The book also introduces a variety of user-contributed software ("Ados") that improves workflow and ensures access to advanced statistical methods.
Die Bedeutung der Wechselwirkung zwischen Mensch und Umwelt für die Entwicklung von kulturbildender Fähigkeit zur Kognition einerseits und ökologischen Prozessen andererseits wird der prähistorisch-/historischen Forschung wieder stärker bewusst. Ökosysteme und Lebenswelten werden zunehmend in interdisziplinärer Zusammenarbeit von Natur- und Geisteswissenschaften datenmässig erfasst und kulturwissenschaftlich rekonstruiert.
Konzepte der Programmierung verstehen und anwenden
Das Buch richtet sich an Leser mit grundlegenden Python-Kenntnissen, die ihre Fähigkeiten vertiefen möchten. Anhand konkreter Anwendungsbeispiele aus verschiedenen Fachgebieten wird demonstriert, wie Python effektiv zur Problemlösung eingesetzt werden kann. Es werden sowohl allgemeine Programmierkonzepte wie Algorithmen, Rekursion und Datenstrukturen behandelt als auch spezifische Merkmale von Python, um ein problemorientiertes Denken zu fördern.
Der Autor untersucht die Auswirkungen intelligenter Computer auf die Gesellschaft im Jahr 2040. Er beleuchtet, wie Maschinen menschliches Verhalten nachahmen und analysiert verschiedene Bereiche wie Bildung, Arbeit und Privatsphäre, um Prognosen über die zukünftige Entwicklung zu erstellen.