Search results
Results from the WOW.Com Content Network
They provide an elegant way of handling errors, without resorting to exception handling; when a function that may fail returns a result type, the programmer is forced to consider success or failure paths, before getting access to the expected result; this eliminates the possibility of an erroneous programmer assumption.
The process of removing data clumps runs the risk of creating a different type of code smell (a data class, which is a class that only stores data and does not have any methods for actually operating on the data); however, the creation of the class will encourage the programmer to see functionality that might be included here as well. [1] [2]
In a dynamically typed language, where type can only be determined at runtime, many type errors can only be detected at runtime. For example, the Python code a + b is syntactically valid at the phrase level, but the correctness of the types of a and b can only be determined at runtime, as variables do not have types in Python, only values do.
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 ...
This can happen in multi-threaded environments, or even in single-threaded environments when other code (typically called in the destruction of some object) resets the global variable before the checking code. The following example shows a way to avoid this problem (see [dead link ] or ; cf. ). But at the cost of not being able to use return ...
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): [2] Contribute to society and human well-being.
Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").
The input to eval is not necessarily a string; it may be structured representation of code, such as an abstract syntax tree (like Lisp forms), or of special type such as code (as in Python). The analog for a statement is exec , which executes a string (or code in other format) as if it were a statement; in some languages, such as Python, both ...