You can write JSON to a file using the json.dump() function from the JSON module combined with file handling in Python. In thisexample, we open a file in writing mode. If the file doesn't exist, it will be created. The json.dump() function converts the Python dictionary into a JSON string, which is then saved in the file.
This exampleillustrates how to read from both a string and a JSON file. Initially, we have a JSON string stored in the variable 'jsonString'. We convert this JSON string into a Python dictionary using json.loads() method, which is then stored in the variable 'jsonDict'. Next, we read a JSON string stored in a file using json.loads(). To achieve this, we first convert the JSON file into a string using file handling, similar to the previous example. Then, we convert it into a string using the read() function. The subsequent steps mirror those followed earlier, utilizing the json.loads() method.
When creating context managers using classes, be sure to ensure that the class includes methods: __enter__() and __exit__(). The __enter__() method provides a resource to be managed, and __exit__() performs cleanup operations without returning any value. To understand the basic structure of building context managers using classes, let's look at a simple FileManager class for managing files.
Binary Search is a searching algorithm for finding an element's position in a sorted array. In this approach, the element is always searched in the middle of a portion of an array.
In this code, the quick_sort function is a recursive implementation of the Quick Sort algorithm. The pivot element is chosen as the first element of the array, and elements are partitioned into two sub-arrays (left and right) based on their relationship to the pivot. The function is then called recursively on the left and right sub-arrays until the entire array is sorted.