Search results
Results from the WOW.Com Content Network
These codes are Code of Ethics and Professional Conduct and the Software Engineering Code of Ethics and Professional Practice, respectively, and some of their guidelines are presented below: From the Code of Ethics and Professional Conduct (ACM): [3] Contribute to society and human well-being.
In all versions of Python, boolean operators treat zero values or empty values such as "", 0, None, 0.0, [], and {} as false, while in general treating non-empty, non-zero values as true. The boolean values True and False were added to the language in Python 2.2.1 as constants (subclassed from 1 and 0 ) and were changed to be full blown ...
The syntax :=, called the "walrus operator", was introduced in Python 3.8. It assigns values to variables as part of a larger expression. [106] In Python, == compares by value. Python's is operator may be used to compare object identities (comparison by reference), and comparisons may be chained—for example, a <= b <= c.
Computer ethics is a part of practical philosophy concerned with how computing professionals should make decisions regarding professional and social conduct. [1]Margaret Anne Pierce, a professor in the Department of Mathematics and Computers at Georgia Southern University has categorized the ethical decisions related to computer technology and usage into three primary influences: [2]
A code of practice is adopted by a profession (or by a governmental or non-governmental organization) to regulate that profession. A code of practice may be styled as a code of professional responsibility, which will discuss difficult issues and difficult decisions that will often need to be made, and then provide a clear account of what behavior is considered "ethical" or "correct" or "right ...
Retrieved from "https://en.wikipedia.org/w/index.php?title=List_of_ethics_topics&oldid=553439727"
This index of ethics articles puts articles relevant to well-known ethical (right and wrong, good and bad) debates and decisions in one place - including practical problems long known in philosophy, and the more abstract subjects in law, politics, and some professions and sciences.
In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.