The Psychology of Investing by John R. Nofsinger (Paperback Book)
While traditional finance focuses on the tools used to optimize return and minimize risk, this book shows how psychology can explain our decisions more than financial theory. Analyzing how investors behave in the real world, this classic text delves into the ways biases influence investment behavior, and how overcoming these biases can increase financial success. Now in its eighth edition, the book features:an easy-to-understand structure, illustrating psychological biases as everyday behavior; analyzing their effect on investment decisions; and concluding with academic studies that show real-life investors making choices that hurt their wealthfully updated content to reflect the latest research in the fielda new chapter on FinTech and behavioral finance, as well as coverage of AI.
Perception and Imaging by John Suler (Paperback Book)
When you look at an image, what do you see, think, and feel? How do you want your audience to react when they view your work? For over 30 years the late Richard Zakia helped photographers enrich their creative vision through his classic book, Perception and Imaging. Now he is joined by co-author John Suler who extensively studied and worked with images throughout his career as a clinical psychologist. Together they present their insights into the principles of perception, memory, color, time, space, shapes, illusion, subliminals, rhetoric, personality style, and photo critique. Unlike any other book, Perception and Imaging will give you an extensive understanding of how photography relates to art, design, advertising, psychology, and philosophy, as well as what makes photography unique.
Python for Data Analysis 3e by Wes McKinney (Paperback Book)
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in.