Python uses Python's filter, remove, take, and other functions to filter and filter data

Environmental construction and preparation work: 1. Ensure that the Python environment has been installed (it is recommended to use Python version 3). 2. Install the Cytoolz library: Run 'pip install cytoolz' from the command line to install the Cytoolz library. Dependent class libraries: -Cytoolz: Cytoolz provides a series of high-performance functions and tools for manipulating and processing Iterator, iterable objects, and other data sets. Data sample: Suppose we have a list that contains some integer data: 'data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]'. Code example: python from cytoolz import filter, remove, take #Data samples data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] #Using the filter function to filter data filtered_data = list(filter(lambda x: x % 2 == 0, data)) Print ("Filter even numbers:", filtered_data) #Using the remove function to remove data removed_data = list(remove(lambda x: x % 3 == 0, data)) Print ("Remove multiples of 3:", removed_data) #Use the take function to obtain the first n data n = 5 taken_data = list(take(n, data)) Print (f "First {n} data:", taken_data) Output results: Filter even numbers: [2, 4, 6, 8, 10] Remove multiples of 3: [1, 2, 4, 5, 7, 8, 10] Top 5 data: [1, 2, 3, 4, 5] Summary: By using the filter, remove, and take functions in the Cytoolz library, we can easily filter, remove, and retrieve data. These functions have high performance when dealing with Iterator and iterable objects, and provide flexible ways to manipulate data sets.