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Spam, ham, and eggs are the principal metasyntactic variables used in the Python programming language. [10] This is a reference to the famous comedy sketch, "Spam", by Monty Python, the eponym of the language. [11] In the following example spam, ham, and eggs are metasyntactic variables and lines beginning with # are comments.
The first is challenge-based learning/problem-based learning, the second is place-based education, and the third is activity-based learning. Challenge-based learning is "an engaging multidisciplinary approach to teaching and learning that encourages students to leverage the technology they use in their daily lives to solve real-world problems ...
Webhooks are "user-defined HTTP callbacks". [2] They are usually triggered by some event, such as pushing code to a repository, [3] a new comment or a purchase, [4] a comment being posted to a blog [5] and many more use cases. [6] When that event occurs, the source site makes an HTTP request to the URL configured for the webhook.
Example of problem/project based learning versus reading cover to cover. The problem/ project-based learner may memorize a smaller amount of total information due to spending time searching for the optimal material across various sources, but will likely learn more useful items for real world scenarios, and will likely be better at knowing ...
In 2003, Python web frameworks were typically written against only CGI, FastCGI, mod_python, or some other custom API of a specific web server. [6] To quote PEP 333: Python currently boasts a wide variety of web application frameworks, such as Zope, Quixote, Webware, SkunkWeb, PSO, and Twisted Web -- to name just a few.
Python's name is derived from the British comedy group Monty Python, whom Python creator Guido van Rossum enjoyed while developing the language. Monty Python references appear frequently in Python code and culture; [190] for example, the metasyntactic variables often used in Python literature are spam and eggs instead of the traditional foo and ...
While 99.9% of spam, malware and phishing emails are being caught by our spam filters, occasionally some can slip through. When this happens, it's very important to mark the email as spam, then our system will learn that messages from a specific sender aren't good and helps us make AOL Mail even better at recognizing future spam emails.
The spam that a user receives is often related to the online user's activities. For example, a user may have been subscribed to an online newsletter that the user considers to be spam. This online newsletter is likely to contain words that are common to all newsletters, such as the name of the newsletter and its originating email address.