This accessible and self-contained guide provides a comprehensive introduction to the popular programming language Python, with a focus on applications in chemistry and chemical physics. Ideally suited to students and researchers of chemistry learning to employ Python for problem-solving in their research, this fast-paced primer first builds a solid foundation in the programming language before progressing to advanced concepts and applications in chemistry. The required syntax and data structures are established, and then applied to solve problems computationally. Popular numerical packages are described in detail, including NumPy, SciPy, Matplotlib, SymPy, and pandas. End of chapter problems are included throughout, with worked solutions available within the book. Additional resources, datasets, and Jupyter Notebooks are provided on a companion website, allowing readers to reinforce their understanding and gain confidence applying their knowledge through a hands-on approach.

Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming.

Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.

Diplomarbeit aus dem Jahr 2004 im Fachbereich BWL - Bank, Borse, Versicherung, Note: 1,0, Wirtschaftsuniversitat Wien (Institut fur Kreditwirtschaft), 177 Quellen im Literaturverzeichnis, Sprache: Deutsch, Abstract: Fusionen und Akquisitionen zwischen Banken" setzt sich mit einem Thema hoher Aktualitat auseinander. Nach jahrelanger Konsolidierung auch im europaischen Wirtschaftsraum ist vorerst noch kein Ende des Trends zum Wachstum durch Zusammenschlusse abzusehen. Immer wieder kann man den Tageszeitungen entsprechende Meldungen uber Fusionen und Akquisitionen - gerade auch unter den grossten Banken - entnehmen. Diese Umstande haben dazu gefuhrt, dass die Problematik des Themengebietes seit Jahrzehnten unter Einsatz verschiedenster methodischer Ansatze erforscht wird. Gerade die Unterschiedlichkeit der Herangehensweisen an die Problematik in den einzelnen Studien und die Weiterentwicklung der Methoden mit der Zeit hat aber dazu gefuhrt, dass der Vergleich der einzelnen Forschungsergebnisse dieser Studien sehr viel schwieriger geworden ist. An diesem Punkt setzt diese Diplomarbeit an, indem sie zunachst auf die theoretischen Grundlagen von Fusionen und Akquisitionen zwischen Banken eingeht, dann eine ausfuhrliche Aufbereitung der bisher erschienenen Literatur vornimmt und eine gehaltvolle und ubersichtliche Beschreibung der unterschiedlichen Forschungsmethoden enthalt. Durch die Katalogisierung von Aufbau, Zielsetzung und Ergebnissen von weit uber 100 themenspezifischen Arbeiten bietet die Diplomarbeit ein umfassendes Bild des heutigen Forschungsstandes