Python The complete analysis process, the analysis() composite function for processing a collection of log files is shown below: def analysis(filename: str) -> Dict[str, int]: ""Count book chapters in a given log""" details = path_filter( access_detail_iter( access_iter( local_gzip(filename)))) books =…
Python Functors and Applicative Functors. Functors are functional representations of simple data. The functor version of the number 3.14 is a zero-argument function that returns that value. Here’s an example: >>> pi = lambda: 3.14 >>> pi() 3.14 This creates…
Python Serialize the data to HTML. The last example of serialization will demonstrate the complexity of creating HTML documents. This complexity comes from the fact that we expect to provide a complete web page with a lot of contextual information.…
Python Using Tuples to Collect Data, previous introduction to two common techniques for processing tuples, and a brief introduction to a third method for processing complex structures. Depending on the specific scenario, you can use any of the following: Use…
Python Use total_ordering to define classes. The total_ordering decorator is used to define operator classes that implement various comparison operations. It can be used with subclasses of numbers.Number and semi-numeric classes. The following uses playing cards as an example to…
Python Simple Numerical Recursion. All numerical computations can be defined recursively. For more information on the Peano axioms, visit Wikipedia. From these axioms, it’s easy to see that addition is recursively defined using a more fundamental concept: the next number…
Concurrency is a form of non-strict evaluation, meaning the order of operations cannot be predicted. The multiprocessing package introduces the concept of a Pool object. A Pool object contains many worker processes that can execute concurrently. This package allows the…
Python Getting Pixels and Colors How do you get a structure containing all the pixels and colors? The method is not complicated, but as you will see later, it is not the optimal solution. One way to map pixels to…
Python tuples are also immutable objects, making them well-suited for functional programming. Tuple data structures have limited methods, and most manipulation is done using prefix syntax. Tuples are widely used, primarily for lists of tuples, nested tuples, and tuple generators.…
Python High-order mapping and filtering functions. Python’s two built-in high-order functions, map() and filter(), can handle virtually any data. Generally speaking, optimizing these two functions for higher performance is difficult. Later, we will introduce several functions of Python 3.4, including…