Python Extending Simple Loops There are two types of extensions for simple loops. First, we’ll introduce filtering extensions, which discard certain data from the data source based on certain criteria. These data may be outliers or have format errors. The…
Python Collection Tail Call Optimization. There are two general ways to process collections: using a higher-order function that returns a generator expression, or creating a function that uses a for loop to process each value in the collection in turn.…
Python Anonymous Functions. In many cases, writing helper functions requires too much code. key functions are often just simple expressions, so writing def and return statements is too cumbersome. Using Python anonymous functions helps simplify writing higher-order functions. As the…
Python Using Packaging Instead of State Changes, you can use the following two strategies to pack data. Parallel: Create two copies of the data, calculate the rank of each copy separately, and then merge the two copies to obtain a…
Python map() function processes multiple sequences. Sometimes, we need to process multiple sequences together. As mentioned earlier, the zip() function can combine two sequences to generate a new pair sequence (a two-tuple sequence). Often, you need to do the following…
Python Functional Composition and Currying. Some functional languages work by converting multi-parameter function syntax into a collection of single-parameter functions. This process is called currying, named after logician Haskell Curry, who developed the theory from earlier concepts. Currying is a…
Python Polymorphism and Type Matching. Some functional languages provide various ways to flexibly handle static function type definitions, but the problem is that the data types of many functions are completely abstract. Take statistical functions as an example. As long…
Python Using cycle() to Iterate. The cycle() function repeatedly loops over a set of values. You can use it to group datasets by dataset identifiers. You can also use it to solve the simple fizz-buzz problem. For various solutions to…
Python Packing multiple data items and mapping them When using a structure like ((f(x), x) for x in C), multiple values are first packed to create a tuple and then mapped. This approach is often used to save intermediate calculation…
Python starmap() and map() applied to data, Python’s built-in map() function is a high-order function that can map each element in an iterable object. The simplified version of the map() function is as follows: map = (lambda function, arg_iter: (function(a)…